Adding some fixes

GlitchTrailer/manuscript.txt

@@ -0,0 +1,31 @@
+[S1]
+What if the universe isn’t continuous?
+What if it only looks smooth… because we’ve never zoomed in the right way?
+
+[S2]
+At Glitch University, our first public course asks a strange question:
+Is the universe fundamentally pixelated?
+Blocky?
+Like Minecraft - just with absurdly tiny blocks?
+
+[S3]
+This question has been around forever.
+But it's always been filed under "too weird to bother."
+That's about to change.
+
+[S4]
+Explore the tech-tree.
+Level up.
+Run experiments on real data from space.
+We're committed to scientific rigour.
+Falsifiability. Truth-seeking.
+And not being a complete bore.
+
+
+[S5]
+Don’t enroll now.
+Enroll later.
+
+[S6]
+Glitch University
+Later is now.

GlitchTrailer/media/slides/GlitchTrailer/slides.json

@@ -0,0 +1,26 @@
+{
+  "S1": {
+    "image": "GlitchTrailer.001.png",
+    "type": "fullscreen"
+  },
+  "S2": {
+    "image": "GlitchTrailer.002.png",
+    "type": "fullscreen"
+  },
+  "S3": {
+    "image": "GlitchTrailer.003.png",
+    "type": "fullscreen"
+  },
+  "S4": {
+    "image": "GlitchTrailer.004.png",
+    "type": "fullscreen"
+  },
+  "S5": {
+    "image": "GlitchTrailer.005.png",
+    "type": "fullscreen"
+  },
+  "S6": {
+    "image": "GlitchTrailer.006.png",
+    "type": "fullscreen"
+  }
+}

GlitchTrailer/project.json

@@ -0,0 +1,88 @@
+{
+  "id": "GlitchTrailer",
+  "coursecode": "TRAILER",
+  "name": "Glitch University trailer",
+  "description": "Welcome to Glitch University.",
+  "hook": null,
+  "platform_targets": ["youtube"],
+  "status": "scripted",
+  "youtube_url": null,
+  "resolution": [1960, 1080],
+  "fps": 30,
+  "duration_seconds": null,
+    "default_filters": {
+    "audioonly": [
+      {
+        "type": "audio_normalize",
+        "compress": false,
+        "normalize": true,
+        "target_lufs": -14,
+        "target_lra": 11,
+        "target_tp": -1.5
+      }
+    ],
+    "talkinghead": [
+      {
+        "type": "audio_normalize",
+        "normalize": true,
+        "target_lufs": -14,
+        "target_lra": 11,
+        "target_tp": -1.5
+      },
+      {
+        "type": "color_grade",
+        "saturation": 1.15,
+        "contrast": 1.05,
+        "bm": -0.1,
+        "rm": 0.04
+      },
+      {
+        "type": "gnommokey",
+        "screen_color": [
+          81,
+          137,
+          65
+        ],
+        "screen_gain": 175,
+        "screen_balance": 58,
+        "despill_bias": [
+          217,
+          240,
+          255
+        ],
+        "despill_strength": 5.0,
+        "edge_erode": 1.0,
+        "clip_black": 0,
+        "clip_white": 100
+      },
+      {
+        "type": "mask",
+        "left": 0.05,
+        "right": 0.1,
+        "top": 0.1,
+        "bottom": 0.0
+      }
+    ]
+  },
+  "cutouts": {
+    "talkinghead": {
+      "x": "-23%",
+      "y": "10%",
+      "height": "90%"
+    },
+    "square": {
+      "x": "46.5%",
+      "y": "4.5%",
+      "width": "50%",
+      "height": "90%"
+    },
+    "fullscreen": {
+      "x": "0%",
+      "y": "0%",
+      "height": "100%"
+    }
+  },
+  "manuscript": "manuscript.txt",
+  "shorts": [],
+  "output_video": "TRAILER.mp4"
+}

README.md

@@ -0,0 +1,368 @@
+# Gnommo
+
+Gnommo is ADHD friendly video-editor for coders. 
+
+1. Design the presentation in keynote
+2. Set up the greenscreen and audio settings once
+3. Automatically times slides and videos to your voice.
+4. Limited options means you waste less time on stuff that isn't important.
+
+A code-first video editing pipeline for creating narrated presentations with slides, video overlays, and synchronized audio.
+
+## Quick Start
+
+```bash
+# Create a project
+gnommo -p myproject init
+
+# Import slides and presenter notes from Keynote file
+gnommo -p myproject import
+
+# Process the narration videos with video and audio filters
+gnommo -p myproject pre
+
+# Stitch together the narration segments to one full length narration. 
+gnommo -p myproject stitch
+
+# Transcribe the actual narrated content
+gnommo -p myproject transcribe
+
+# Generate the final video
+gnommo -p myproject render
+
+# Generate the final youtube assets. Manuscript file, description
+gnommo -p myproject youtubeready
+
+# Free up disk space locally by saving your project to an external drive
+gnommo -p myproject archive
+```
+
+## Resolution modes
+
+All commands accept `--res` to trade quality for speed during iteration:
+
+| Flag | Resolution | Use case |
+|---|---|---|
+| `--res full` | Project resolution (default) | Final output |
+| `--res low` | 490×270 | Fast preview render |
+| `--res tiny` | 320×180 | Ultrafast iteration (preprocess, stitch, render) |
+
+`--res tiny` and `--res low` create downscaled copies of source files in subdirectories (`proxy/` and `low/` respectively) and work from those. The originals are never modified.
+
+```bash
+gnommo -p myproject pre --res tiny       # fast preprocess
+gnommo -p myproject stitch --res tiny    # fast stitch
+gnommo -p myproject render --res tiny    # fast preview render
+gnommo -p myproject render --res low     # medium preview render
+```
+
+## Project Structure
+
+```
+myproject/
+├── project.json          # Project configuration
+├── manuscript.txt        # Narration script with [markers]
+├── media/
+│   ├── slides/
+│   │   ├── slides.json   # Slide definitions
+│   │   └── *.png         # Slide images
+│   ├── videos/
+│   │   ├── videos.json   # Video source definitions
+│   │   └── *.mov         # Video files
+│   ├── narration/
+│   │   ├── narration.json # Narration segment definitions
+│   │   └── *.mov         # Raw narration recordings
+│   └── audio/
+│       ├── audio.json    # Audio effect definitions
+│       └── *.mp3         # Sound effects
+└── output/
+    └── final.mp4         # Rendered output
+    └── preview.mp4       # Preview (lower resolution, faster render)
+```
+
+## The Five Stages
+
+Gnommo uses a five-stage pipeline for processing video projects:
+
+### Stage 1: Init
+
+Creates a folder and a default project.json file inside it.
+```bash
+gnommo -p myproject init
+```
+
+### Stage 2: Import
+First : Place the myproject.key Keynote presentation in the myproject folder.
+Place videos, audio and narration you want to use in their respective folders in side myproject/media
+Then : This command media scans directories and generates JSON definition files.
+
+```bash
+gnommo -p myproject import
+```
+
+**What it does:**
+- Opens the keynote presentation and exports all slides a PNG images into media/slides/
+- Scans `media/slides/` for images → generates `slides.json`
+- Scans `media/videos/` for video files → generates `videos.json`
+- Scans `media/narration/` for recordings → generates `narration.json`
+- Scans `media/audio/` for sound effects → generates `audio.json`
+
+**When to use:** After adding new media files to populate the JSON definitions with the actual files in the folders
+
+---
+
+### Stage 3: Preprocess
+
+Applies video filters (chroma key, scaling, etc.) to narration segments.
+
+```bash
+gnommo -p myproject pre
+```
+
+**What it does:**
+- Reads filter definitions from `project.json` and `narration.json`
+- Processes each narration segment with its configured filters
+- Outputs processed files (e.g., `segment1_processed.mov`)
+
+**When to use:** After recording narration that needs background removal, sound normalization or other processing.
+
+---
+
+### Stage 4: stitch
+First : Go through the source videos, and add trim settings to `begin` and `end` parameters in `narration.json`
+
+Then :  Run command to sticth the usable parts of narration segments into a single continuous video
+
+```bash
+gnommo -p myproject stitch
+```
+
+**What it does:**
+- Reads segments from `narration.json`
+- Concatenates them in order, respecting `begin`/`end` trim points
+- Outputs `narration_combined.mov` in `media/videos/`
+- Adds `narration_combined` entry to `videos.json` with volume settings
+- Generates word-level timestamps from the narration using Whisper speech recognition.
+
+**When to use:** After preprocessing, or adjusting trim settings, to create the main narration scaffolding.
+
+### Stage 5: Render
+
+Composites all elements into the final video.
+
+```bash
+gnommo -p myproject render
+```
+
+**What it does:**
+- Parses `manuscript.txt` for slide/video markers
+- Aligns markers to transcription timestamps
+- Composites background, narration, slides, and video overlays
+- Outputs `final.mp4`
+
+**Options:**
+```bash
+gnommo -p myproject render --dry-run        # Show FFmpeg command without running
+gnommo -p myproject render --slides S1:S10  # Render only slides S1 through S10
+gnommo -p myproject render --res low        # Fast preview at 490x270
+gnommo -p myproject render --res tiny       # Ultrafast preview at 320x180
+```
+
+---
+
+## Shortcut: All Stages
+
+Run all stages 2-5 and render in one command:
+
+```bash
+gnommo -p myproject all
+```
+
+---
+
+## Manuscript Format
+
+The manuscript is plain text with embedded markers:
+
+```
+[S1] Welcome to this presentation.
+
+[S2] Let me show you how this works.
+
+[video:demo] Here's a quick demonstration.
+
+[Zoom1] Notice this important detail.
+
+[Reset] And that concludes our overview.
+```
+
+**Marker types:**
+- `[S1]`, `[S2]` - Slide markers (reference slides.json)
+- `[video:id]` - Triggered video overlay
+- `[narration:id]` - Start continuous narration video
+- `[Zoom1]`, `[Reset]` - Camera presets
+- `[Awoosh]` - Audio effect trigger
+
+---
+
+## External Storage (GnommoCache)
+
+For large projects, gnommo supports transparent external storage fallback.
+
+**Setup:** Create `~/.gnommo.conf`:
+```ini
+[cache]
+path = /Volumes/ExternalDrive/gnommo
+```
+
+**How it works:**
+- Files are first looked up locally in the project directory
+- If not found, gnommo checks `{cache_path}/{project_name}/...`
+- The 📁 indicator shows files loaded from external storage
+
+**Archive to external storage:**
+```bash
+gnommo -p myproject archive           # Sync project to cache
+gnommo -p myproject archive --dry-run # Preview what would sync
+```
+
+This allows you to move large preprocessed files to external storage while keeping the project functional.
+
+---
+
+## Common Workflows
+
+### New Project Setup
+```bash
+# 1. Create project structure and add media files
+mkdir -p myproject/media/{slides,videos,narration,audio}
+
+# 2. Create project.json with basic config
+
+# 3. Import media to generate JSON definitions
+gnommo -p myproject import
+
+# 4. Edit JSON files to configure filters, trim points, etc.
+
+# 5. Run full pipeline
+gnommo -p myproject all
+```
+
+### Re-render After Editing Manuscript
+```bash
+gnommo -p myproject render
+```
+
+### Re-process After Recording New Narration
+```bash
+gnommo -p myproject pre
+gnommo -p myproject stitch
+gnommo -p myproject transcribe
+gnommo -p myproject render
+```
+
+---
+
+## Additional Commands
+
+```bash
+gnommo -p myproject validate      # Check for errors without rendering
+gnommo -p myproject description   # Generate YouTube description with chapters
+gnommo -p myproject transcribe --final  # Transcribe final.mp4 for subtitles
+```
+
+---
+
+## Glitch University — Server Sync
+
+Gnommo can push project metadata and short scripts to a gnommoweb server,
+and pull changes back. This keeps the platform database in sync with your
+local project files without manual copy-paste.
+
+**Setup** — add to `gnommo/.env`:
+```ini
+GNOMMOWEB_URL=http://localhost:3001
+GNOMMOWEB_API_KEY=your_content_api_key
+```
+
+### Push
+
+Registers the project on the server and syncs all defined shorts (including
+their scripts). Creates a filming task for each new short.
+
+```bash
+gnommo -p myproject push           # push local → server
+gnommo -p myproject push --force   # overwrite server even if it has newer changes
+```
+
+On the first push, gnommo creates:
+- A stub video record in the platform database
+- One short record per entry in `project.json["shorts"]`
+- One task per new short ("Film short: …")
+
+Re-running push is safe — existing records are updated, no duplicate tasks.
+Scripts are only overwritten on the server if the local file has changed;
+edits made in the staff UI are preserved.
+
+### Pull
+
+Fetches the current project state from the server and merges the `shorts`
+array back into `project.json`. Useful after editing short titles or hooks
+in the web interface.
+
+```bash
+gnommo -p myproject pull           # pull server → local
+gnommo -p myproject pull --force   # overwrite local even if it has unsaved changes
+```
+
+Pull preserves local `script` file paths — it won't overwrite your `.md`
+script files.
+
+### Conflict guards
+
+Both commands check for conflicts before writing:
+
+| Situation | Push behaviour | Pull behaviour |
+|---|---|---|
+| Server has changes you haven't pulled | Blocked — pull first | Proceeds (that's the point) |
+| Local has changes you haven't pushed | Proceeds (that's the point) | Blocked — push first |
+| `--force` flag | Overrides | Overrides |
+
+Sync state is stored in `<project>/.gnommo_sync.json` (tracked by git,
+so collaborators share the same reference point).
+
+### Defining shorts in `project.json`
+
+Add a `shorts` array to your project:
+
+```json
+"shorts": [
+  {
+    "id": "short_pixelated_universe",
+    "title": "Is the universe pixelated?",
+    "hook": "What if space is made of tiny blocks?",
+    "script": "shorts/short_pixelated_universe.md",
+    "platform_targets": ["youtube"]
+  }
+]
+```
+
+- `id` — unique slug within the project, used as the upsert key
+- `script` — relative path to a markdown file with the full short narration
+- `hook` — opening line / thumbnail caption
+- `platform_targets` — list of platforms (currently `["youtube"]`)
+
+Scripts are plain markdown with the same `[SLIDE: name]` markers and
+`{word}` whisper timestamp tags used elsewhere in gnommo.
+
+---
+
+## Requirements
+
+- Python 3.10+
+- FFmpeg
+- OpenAI Whisper (for transcription)
+
+```bash
+pip install openai-whisper
+```

backup.json

@@ -0,0 +1,23 @@
+{
+  "drives": {
+    "lacie": {
+      "mount_path": "/Volumes/LaCie Jens",
+      "backups": {
+        "small": {
+          "last_attempt": "2026-03-26T09:48:05Z",
+          "last_status": "success",
+          "last_completed": "2026-03-26T09:48:13Z"
+        },
+        "big": {
+          "last_attempt": "2026-02-27T12:17:30Z",
+          "last_status": "failed"
+        },
+        "all": {
+          "last_attempt": "2026-03-26T10:32:56Z",
+          "last_status": "success",
+          "last_completed": "2026-03-26T10:36:24Z"
+        }
+      }
+    }
+  }
+}

backup.sh

@@ -0,0 +1,410 @@
+#!/bin/zsh
+#
+# Gnommo Backup Utility
+# Syncs project files to an external drive using rsync
+#
+# Usage: ./backup.sh <mode> <drive> [options]
+#
+# Modes:
+#   small  - Keynotes, images, metadata, code (excludes large media)
+#   big    - Large video/audio files only (for offloading)
+#   all    - Complete mirror of entire project
+#
+# Drives:
+#   lacie      - /Volumes/LaCie Jens/gnommo
+#   gnommodisk - /Volumes/gnommodisk/gnommo
+#   status     - Show backup status for all drives
+#
+# Options:
+#   --dry-run    Show what would be transferred without copying
+#   --delete     Delete files on destination that don't exist in source
+#   --progress   Show detailed transfer progress (default: on)
+#
+
+set -e
+
+# Configuration
+PROJECT_DIR="/Users/jenstandstad/Projects/gnommo"
+BACKUP_JSON="$PROJECT_DIR/backup.json"
+BIG_FILE_SIZE="100M"
+
+# Known drives (name -> mount path)
+typeset -A KNOWN_DRIVES
+KNOWN_DRIVES=(
+    lacie "/Volumes/LaCie Jens"
+    gnommodisk "/Volumes/gnommodisk"
+)
+
+# Big file extensions (video/audio that tend to be large)
+BIG_EXTENSIONS=("mov" "mp4" "m4v" "avi" "mkv" "aifc" "aiff" "wav")
+
+# Initialize backup.json if it doesn't exist
+init_backup_json() {
+    if [[ ! -f "$BACKUP_JSON" ]]; then
+        cat > "$BACKUP_JSON" << 'EOF'
+{
+  "drives": {}
+}
+EOF
+    fi
+}
+
+# Update backup.json using Python (reliable JSON handling)
+update_backup_json() {
+    local drive_name="$1"
+    local backup_mode="$2"
+    local backup_status="$3"  # "started" or "completed"
+    local timestamp=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
+
+    python3 << PYTHON
+import json
+import os
+
+backup_file = "$BACKUP_JSON"
+drive_name = "$drive_name"
+mode = "$backup_mode"
+status = "$backup_status"
+timestamp = "$timestamp"
+
+# Load existing data
+if os.path.exists(backup_file):
+    with open(backup_file, 'r') as f:
+        data = json.load(f)
+else:
+    data = {"drives": {}}
+
+# Ensure drive entry exists
+if drive_name not in data["drives"]:
+    data["drives"][drive_name] = {
+        "mount_path": "${KNOWN_DRIVES[$drive_name]:-$DESTINATION}",
+        "backups": {}
+    }
+
+# Ensure mode entry exists
+if mode not in data["drives"][drive_name]["backups"]:
+    data["drives"][drive_name]["backups"][mode] = {}
+
+# Update based on status
+backup_entry = data["drives"][drive_name]["backups"][mode]
+if status == "started":
+    backup_entry["last_attempt"] = timestamp
+    backup_entry["last_status"] = "in_progress"
+elif status == "completed":
+    backup_entry["last_completed"] = timestamp
+    backup_entry["last_status"] = "success"
+elif status == "failed":
+    backup_entry["last_status"] = "failed"
+
+# Write back
+with open(backup_file, 'w') as f:
+    json.dump(data, f, indent=2)
+PYTHON
+}
+
+# Show backup status
+show_status() {
+    echo "========================================"
+    echo "Gnommo Backup Status"
+    echo "========================================"
+
+    if [[ ! -f "$BACKUP_JSON" ]]; then
+        echo "No backups recorded yet."
+        exit 0
+    fi
+
+    python3 << 'PYTHON'
+import json
+import os
+from datetime import datetime
+
+backup_file = os.environ.get('BACKUP_JSON', 'backup.json')
+known_drives = {"lacie": "/Volumes/LaCie Jens", "gnommodisk": "/Volumes/gnommodisk"}
+
+with open(backup_file, 'r') as f:
+    data = json.load(f)
+
+for drive_name, drive_info in data.get("drives", {}).items():
+    mount_path = drive_info.get("mount_path", "unknown")
+    mounted = "CONNECTED" if os.path.exists(mount_path) else "not connected"
+
+    print(f"\n{drive_name} ({mounted})")
+    print(f"  Path: {mount_path}")
+
+    backups = drive_info.get("backups", {})
+    if not backups:
+        print("  No backups recorded")
+        continue
+
+    for mode, info in backups.items():
+        status = info.get("last_status", "unknown")
+        completed = info.get("last_completed", "never")
+        attempt = info.get("last_attempt", "never")
+
+        # Format the completed time nicely
+        if completed != "never":
+            try:
+                dt = datetime.fromisoformat(completed.replace('Z', '+00:00'))
+                completed = dt.strftime("%Y-%m-%d %H:%M UTC")
+            except:
+                pass
+
+        status_icon = "✓" if status == "success" else "⋯" if status == "in_progress" else "✗"
+        print(f"  {mode}: {status_icon} {completed}")
+
+print()
+PYTHON
+
+    echo "========================================"
+}
+
+usage() {
+    cat << EOF
+Gnommo Backup Utility
+
+Usage: $(basename "$0") <mode> <drive> [options]
+
+Modes:
+  small     Sync small files only: Keynotes, images, JSON, code, manuscripts
+            Excludes: .mov, .mp4, .aifc, and other large media files
+
+  big       Sync large files only: video and audio media files
+            Useful for offloading to free up local space
+
+  all       Full mirror of the entire gnommo project
+
+  status    Show backup status for all known drives
+
+Drives:
+  lacie       /Volumes/LaCie Jens/gnommo
+  gnommodisk  /Volumes/gnommodisk/gnommo
+  <path>      Or specify a custom path
+
+Options:
+  --dry-run     Preview what would be transferred (no actual copying)
+  --delete      Remove files on destination that no longer exist in source
+  --no-progress Disable progress display
+  --help        Show this help message
+
+Examples:
+  $(basename "$0") status
+  $(basename "$0") small lacie
+  $(basename "$0") big gnommodisk --delete
+  $(basename "$0") all lacie --dry-run
+
+EOF
+    exit 0
+}
+
+# Parse arguments
+MODE=""
+DRIVE=""
+DESTINATION=""
+DRY_RUN=""
+DELETE=""
+PROGRESS="--progress"
+
+while [[ $# -gt 0 ]]; do
+    case "$1" in
+        small|big|all)
+            MODE="$1"
+            shift
+            ;;
+        status)
+            export BACKUP_JSON
+            show_status
+            exit 0
+            ;;
+        lacie|gnommodisk)
+            DRIVE="$1"
+            DESTINATION="${KNOWN_DRIVES[$1]}/gnommo"
+            shift
+            ;;
+        --dry-run)
+            DRY_RUN="--dry-run"
+            shift
+            ;;
+        --delete)
+            DELETE="--delete"
+            shift
+            ;;
+        --no-progress)
+            PROGRESS=""
+            shift
+            ;;
+        --help|-h)
+            usage
+            ;;
+        -*)
+            echo "Unknown option: $1"
+            usage
+            ;;
+        *)
+            if [[ -z "$DESTINATION" ]]; then
+                DRIVE="custom"
+                DESTINATION="$1"
+            fi
+            shift
+            ;;
+    esac
+done
+
+# Handle status command
+if [[ "$MODE" == "status" ]]; then
+    show_status
+    exit 0
+fi
+
+# Validate arguments
+if [[ -z "$MODE" ]]; then
+    echo "Error: Mode is required (small, big, all, or status)"
+    echo ""
+    usage
+fi
+
+if [[ -z "$DESTINATION" ]]; then
+    echo "Error: Drive or destination path is required"
+    echo ""
+    usage
+fi
+
+# Check if drive is mounted (get the volume path, handling spaces)
+MOUNT_PATH="${DESTINATION%/gnommo}"
+if [[ ! -d "$MOUNT_PATH" ]]; then
+    echo "Error: Drive not mounted at: $MOUNT_PATH"
+    echo ""
+    echo "Available volumes:"
+    ls /Volumes/ 2>/dev/null | sed 's/^/  /'
+    exit 1
+fi
+
+# Create destination directory if needed
+mkdir -p "$DESTINATION"
+
+# Initialize backup tracking
+init_backup_json
+
+# Build rsync command
+RSYNC_OPTS="-avh"
+[[ -n "$PROGRESS" ]] && RSYNC_OPTS="$RSYNC_OPTS --progress"
+[[ -n "$DRY_RUN" ]] && RSYNC_OPTS="$RSYNC_OPTS --dry-run"
+[[ -n "$DELETE" ]] && RSYNC_OPTS="$RSYNC_OPTS --delete"
+
+# Always exclude these
+EXCLUDE_ALWAYS=(
+    ".DS_Store"
+    "__pycache__"
+    "*.pyc"
+    ".git"
+    ".env"
+    "*.egg-info"
+    ".venv"
+    "venv"
+    "node_modules"
+)
+
+# Build exclusion patterns for big files
+build_big_excludes() {
+    local excludes=""
+    for ext in "${BIG_EXTENSIONS[@]}"; do
+        excludes="$excludes --exclude='*.$ext'"
+    done
+    echo "$excludes"
+}
+
+# Build inclusion patterns for big files only
+build_big_includes() {
+    local includes=""
+    for ext in "${BIG_EXTENSIONS[@]}"; do
+        includes="$includes --include='*.$ext'"
+    done
+    echo "$includes"
+}
+
+# Build common exclusions
+build_common_excludes() {
+    local excludes=""
+    for pattern in "${EXCLUDE_ALWAYS[@]}"; do
+        excludes="$excludes --exclude='$pattern'"
+    done
+    echo "$excludes"
+}
+
+echo "========================================"
+echo "Gnommo Backup Utility"
+echo "========================================"
+echo "Mode:        $MODE"
+echo "Drive:       $DRIVE"
+echo "Source:      $PROJECT_DIR"
+echo "Destination: $DESTINATION"
+[[ -n "$DRY_RUN" ]] && echo "DRY RUN:     Yes (no files will be copied)"
+[[ -n "$DELETE" ]] && echo "Delete:      Yes (will remove orphaned files)"
+echo "========================================"
+echo ""
+
+# Record backup attempt (skip for dry-run)
+if [[ -z "$DRY_RUN" ]]; then
+    update_backup_json "$DRIVE" "$MODE" "started"
+fi
+
+# Track success
+BACKUP_SUCCESS=false
+
+run_backup() {
+    case "$MODE" in
+        small)
+            echo "Syncing SMALL files (excluding large media)..."
+            echo "Excludes: ${BIG_EXTENSIONS[*]}"
+            echo ""
+
+            EXCLUDES=$(build_common_excludes)
+            BIG_EXCLUDES=$(build_big_excludes)
+
+            eval rsync $RSYNC_OPTS $EXCLUDES $BIG_EXCLUDES "'$PROJECT_DIR/'" "'$DESTINATION/'"
+            ;;
+
+        big)
+            echo "Syncing BIG files only (large media)..."
+            echo "Includes: ${BIG_EXTENSIONS[*]}"
+            echo ""
+
+            EXCLUDES=$(build_common_excludes)
+            INCLUDES="--include='*/' $(build_big_includes)"
+
+            eval rsync $RSYNC_OPTS $EXCLUDES $INCLUDES --exclude="'*'" "'$PROJECT_DIR/'" "'$DESTINATION/'"
+            ;;
+
+        all)
+            echo "Syncing ALL files (complete mirror)..."
+            echo ""
+
+            EXCLUDES=$(build_common_excludes)
+
+            eval rsync $RSYNC_OPTS $EXCLUDES "'$PROJECT_DIR/'" "'$DESTINATION/'"
+            ;;
+    esac
+}
+
+# Run backup and track result
+# Exit codes: 0=success, 23=partial transfer (files changed during sync, usually OK), 24=vanished files
+run_backup && BACKUP_SUCCESS=true || {
+    local exit_code=$?
+    if [[ $exit_code -eq 23 || $exit_code -eq 24 ]]; then
+        echo "Note: Some files changed during transfer (rsync exit $exit_code) - backup completed"
+        BACKUP_SUCCESS=true
+    fi
+}
+
+echo ""
+echo "========================================"
+if [[ -n "$DRY_RUN" ]]; then
+    echo "DRY RUN complete. No files were copied."
+else
+    if [[ "$BACKUP_SUCCESS" == true ]]; then
+        update_backup_json "$DRIVE" "$MODE" "completed"
+        echo "Backup complete!"
+    else
+        update_backup_json "$DRIVE" "$MODE" "failed"
+        echo "Backup FAILED!"
+    fi
+fi
+echo "========================================"

docs/partial-rendering-spec.md

@@ -0,0 +1,317 @@
+# Partial Rendering Specification
+
+## Overview
+
+Enable rendering of specific sections of a video (e.g., slides 1-10, then 10-20) instead of the full video. This is useful for:
+- Faster iteration during development
+- Re-rendering specific sections after fixes
+- Parallel rendering of segments that can be concatenated later
+
+## Scope (v1)
+
+**In scope:**
+- Camera state tracking (cumulative state must be computed from t=0)
+- Time offset adjustment for all events
+- Slide range filtering
+- Input video seeking
+
+**Out of scope (v1):**
+- Audio events crossing range boundaries
+- Triggered video duration edge cases
+- Events are assumed to begin at their marker timestamp and never "carry over"
+
+## Current Architecture Analysis
+
+### 1. Camera State Management
+
+**Current behavior** (`transformer.py:250-332`):
+- Camera state is **cumulative** across the transcript
+- `_extract_camera_events()` walks through ALL markers sequentially
+- Each marker type (Zoom/Tilt/Pan) only modifies its property while preserving others
+- Example: `[Zoom2]` then `[TiltLeft]` = both zoom AND tilt active
+
+**Problem for partial rendering**:
+If we start rendering at slide 10, we need the camera state AS IT WOULD BE after processing slides 1-9.
+
+**Solution**:
+Separate "state computation" from "event generation":
+1. Always walk through ALL transcript markers to compute cumulative state
+2. Track the "initial state" at the start of the render range
+3. Only emit CameraEvents for markers WITHIN the render range
+4. First event in partial render must transition FROM the computed initial state
+
+### 2. Time Signature Adjustment
+
+**Current behavior**:
+All timing uses absolute timestamps from `transcript.csv`:
+- `SlideEvent.start_time/end_time`
+- `VideoEvent.start_time/end_time`
+- `AudioEvent.start_time`
+- `CameraEvent.time`
+- FFmpeg expressions: `enable=between(t, start, end)`
+- Camera animation: `if(between(t, 1.000, 1.200), ...)`
+
+**Problem for partial rendering**:
+If slide 10 starts at t=10.0s and we render from there, FFmpeg expects t=0 at the start of output.
+
+**Solution**:
+Apply a `time_offset` to all events after extraction:
+```
+new_time = original_time - time_offset
+```
+Where `time_offset` = start time of first slide/event in range.
+
+### 3. Input Video Seeking
+
+**Current behavior**:
+- Always-visible videos (talking head) start from the beginning
+- FFmpeg processes entire input duration
+
+**Problem for partial rendering**:
+Need to seek into source videos to the correct position.
+
+**Solution**:
+Add `-ss <seek_time>` before input files for always-visible videos:
+```
+ffmpeg -ss 10.0 -i talking_head.mov ...
+```
+
+---
+
+## Proposed API
+
+### Command Line Interface
+
+```bash
+# Render full video (current behavior)
+gnommo render example/project.json output.mp4
+
+# Render specific slide range
+gnommo render example/project.json output.mp4 --slides S1:S10
+gnommo render example/project.json output.mp4 --slides S10:S20
+gnommo render example/project.json output.mp4 --slides S5:  # S5 to end
+
+# Render specific time range (alternative)
+gnommo render example/project.json output.mp4 --time 0:60
+gnommo render example/project.json output.mp4 --time 60:120
+```
+
+### Internal API
+
+New parameters for `build_render_plan()`:
+```python
+def build_render_plan(
+    ...
+    slide_range: Optional[tuple[str, Optional[str]]] = None,  # (start_slide, end_slide)
+    # OR
+    time_range: Optional[tuple[float, Optional[float]]] = None,  # (start_time, end_time)
+) -> RenderPlan:
+```
+
+New field on `RenderPlan`:
+```python
+@dataclass
+class RenderPlan:
+    ...
+    time_offset: float = 0.0  # Offset to subtract from all timestamps
+    initial_camera_state: CameraState = field(default_factory=CameraState)  # State at render start
+    input_seek_time: float = 0.0  # Seek position for input videos
+```
+
+---
+
+## Implementation Details
+
+### Phase 1: Compute Full State, Filter Events
+
+Modify `_extract_camera_events()` to accept a time range:
+
+```python
+def _extract_camera_events(
+    transcript: list[TimedWord],
+    time_range: Optional[tuple[float, float]] = None,  # (start, end)
+) -> tuple[list[CameraEvent], CameraState]:
+    """
+    Returns:
+        - List of CameraEvents within time_range
+        - Initial CameraState at start of time_range
+    """
+    events: list[CameraEvent] = []
+    current_state = CameraState()
+    initial_state = CameraState()
+    start_time, end_time = time_range or (0.0, float('inf'))
+
+    found_start = False
+
+    for timed_word in transcript:
+        if not timed_word.is_marker:
+            continue
+
+        marker_id = timed_word.marker_id
+        if not marker_id or marker_id not in CAMERA_PRESETS:
+            continue
+
+        # Always update current_state (full walk)
+        preset = CAMERA_PRESETS[marker_id]
+        new_state = _apply_preset(current_state, marker_id, preset)
+
+        # Capture state just before we enter the render range
+        if not found_start and timed_word.time >= start_time:
+            initial_state = current_state  # State BEFORE this marker
+            found_start = True
+
+        # Only emit events within range
+        if start_time <= timed_word.time < end_time:
+            events.append(CameraEvent(
+                time=timed_word.time,
+                target_state=new_state,
+                duration=0.2,
+                easing="ease-out",
+            ))
+
+        current_state = new_state
+
+    return events, initial_state
+```
+
+### Phase 2: Apply Time Offset
+
+After extracting events, apply offset to all timestamps:
+
+```python
+def _apply_time_offset(plan: RenderPlan, offset: float) -> RenderPlan:
+    """Shift all timestamps by offset (subtract offset from all times)."""
+
+    # Adjust slide events
+    for event in plan.slide_events:
+        event.start_time -= offset
+        event.end_time -= offset
+
+    # Adjust video events
+    for event in plan.video_events:
+        event.start_time -= offset
+        event.end_time -= offset
+
+    # Adjust audio events
+    for event in plan.audio_events:
+        event.start_time = max(0, event.start_time - offset)
+
+    # Adjust camera events
+    for event in plan.camera_events:
+        event.time -= offset
+
+    # Adjust total duration
+    plan.total_duration -= offset
+    plan.time_offset = offset
+    plan.input_seek_time = offset
+
+    return plan
+```
+
+### Phase 3: FFmpeg Seeking
+
+Modify `build_ffmpeg_command()` to add seeking:
+
+```python
+def build_ffmpeg_command(plan: RenderPlan, output_path: Path) -> list[str]:
+    cmd = ["ffmpeg", "-y"]
+
+    # Add seek for always-visible videos
+    for video_id, video_source, cutout in plan.narration_videos:
+        video_path = _resolve_video_path(videos_dir, video_source)
+        if plan.input_seek_time > 0:
+            cmd.extend(["-ss", str(plan.input_seek_time)])  # Seek BEFORE -i
+        cmd.extend(["-i", str(video_path)])
+        ...
+```
+
+### Phase 4: Initial Camera State Handling
+
+If `initial_camera_state` is not default, inject a "virtual" camera event at t=0:
+
+```python
+def build_camera_transform(
+    camera_events: list[CameraEvent],
+    initial_state: CameraState,  # NEW PARAMETER
+    ...
+) -> str:
+    # If initial state differs from default, prepend a virtual event
+    if not initial_state.is_default():
+        initial_event = CameraEvent(
+            time=0.0,
+            target_state=initial_state,
+            duration=0.0,  # Instant - no transition
+            easing="linear",
+        )
+        camera_events = [initial_event] + camera_events
+    ...
+```
+
+---
+
+## FFmpeg Optimization
+
+**Only emit filters for events within range.**
+
+When rendering a partial range, the `RenderPlan` should only contain events within that range. This means:
+- Fewer inputs added to the FFmpeg command (only slides/videos/audio actually used)
+- Fewer overlay filters in filter_complex
+- Fewer `between(t, start, end)` enable expressions to evaluate per frame
+
+Example: Full video has 50 slides, rendering S40:S50 only:
+- **Before**: 50 slide inputs, 50 overlay filters
+- **After**: 10 slide inputs, 10 overlay filters
+
+This is achieved naturally by filtering events in `build_render_plan()` before constructing the plan - the renderer already only processes events present in the plan.
+
+---
+
+## Edge Cases (v1 Simplified)
+
+### 1. Camera state from before range
+If rendering S5:S10 but there's a camera event at the S4 marker:
+- Camera state from S4 must be captured as `initial_camera_state`
+- Rendered output starts with that state already applied at t=0
+
+### 2. Events filter by marker position
+All events (slides, videos, audio) are filtered by whether their START marker falls within the range.
+- Events beginning outside range are excluded
+- No "carry over" or boundary-crossing logic needed
+
+---
+
+## Testing Strategy
+
+### Unit Tests
+1. Camera state computation maintains state across full transcript
+2. Time offset correctly shifts all event types
+3. Initial camera state correctly captured at boundary
+
+### Integration Tests
+1. Render slides 1-5, then 5-10, concatenate, compare to full render
+2. Camera state continuity across segment boundaries
+3. Audio alignment after seeking
+
+### Manual Verification
+1. Visual inspection of camera state at segment boundaries
+2. Audio sync verification
+
+---
+
+## Future Enhancements
+
+### Parallel Rendering Pipeline
+```bash
+# Render in parallel, then stitch
+gnommo render proj.json seg1.mp4 --slides S1:S10 &
+gnommo render proj.json seg2.mp4 --slides S10:S20 &
+gnommo render proj.json seg3.mp4 --slides S20: &
+wait
+ffmpeg -f concat -i segments.txt -c copy final.mp4
+```
+
+### Smart Re-rendering
+Track which slides changed and only re-render affected segments.
+
+### Preview Mode
+Quick low-quality render of specific section for review.

docs/virtual-camera-effects.md

@@ -0,0 +1,265 @@
+# Virtual Camera Effects
+
+Ideas for "stuff happening" to keep viewers engaged in edutainment videos.
+These effects are triggered by markers in the manuscript, just like slides.
+
+## Zoom Effects
+
+| Marker | Description |
+|--------|-------------|
+| `[Zoom1]` | Zoom to 110% - subtle emphasis |
+| `[Zoom2]` | Zoom to 125% - moderate emphasis |
+| `[Zoom3]` | Zoom to 150% - strong emphasis |
+| `[Zoom0]` | Return to 100% (default) |
+| `[ZoomPunch]` | Quick zoom in + out (single beat emphasis) |
+
+**Use case:** Rapid `[Zoom1][Zoom2][Zoom3]` for comedic/dramatic triple emphasis.
+
+## Tilt/Rotation Effects
+
+| Marker | Description |
+|--------|-------------|
+| `[TiltLeft]` | Rotate -15 degrees |
+| `[TiltRight]` | Rotate +15 degrees |
+| `[NoTilt]` | Return to 0 degrees |
+| `[TiltShake]` | Quick left-right shake (confusion/emphasis) |
+
+**Use case:** Tilt when saying something "off" or wrong, return to flat for correction.
+
+## Pan/Position Effects
+
+| Marker | Description |
+|--------|-------------|
+| `[PanLeft]` | Shift frame left (subject moves right) |
+| `[PanRight]` | Shift frame right (subject moves left) |
+| `[PanUp]` | Shift frame up |
+| `[PanDown]` | Shift frame down |
+| `[PanCenter]` | Return to center |
+
+**Use case:** Pan to make room for a slide appearing on one side.
+
+## Shake/Movement Effects
+
+| Marker | Description |
+|--------|-------------|
+| `[Shake]` | Brief screen shake (impact, surprise) |
+| `[ShakeHard]` | Intense shake (explosion, error) |
+| `[Wobble]` | Gentle continuous wobble |
+| `[NoWobble]` | Stop wobble |
+
+**Use case:** Shake on "WRONG!" or when something crashes/fails.
+
+## Speed/Rhythm Effects
+
+| Marker | Description |
+|--------|-------------|
+| `[Beat]` | Single visual pulse (scale bump) |
+| `[BeatStart]` | Start pulsing to rhythm |
+| `[BeatStop]` | Stop pulsing |
+
+**Use case:** Rhythmic emphasis during lists or key points.
+
+## Transition Effects
+
+| Marker | Description |
+|--------|-------------|
+| `[Flash]` | Quick white flash |
+| `[Blackout]` | Brief black frame |
+| `[Glitch]` | Digital glitch effect |
+
+**Use case:** Transition between topics or for "record scratch" moments.
+
+## Picture-in-Picture Variations
+
+| Marker | Description |
+|--------|-------------|
+| `[PipGrow]` | Enlarge talking head cutout |
+| `[PipShrink]` | Shrink talking head cutout |
+| `[PipHide]` | Temporarily hide talking head |
+| `[PipShow]` | Restore talking head |
+| `[PipMove:corner]` | Move pip to different corner |
+
+**Use case:** Shrink self when showing important diagram, grow when making personal point.
+
+## Combination Presets
+
+| Marker | Description |
+|--------|-------------|
+| `[Emphasis]` | Zoom2 + slight tilt (general emphasis) |
+| `[Surprise]` | Quick zoom + shake |
+| `[Sarcasm]` | Slow zoom + tilt |
+| `[Reset]` | Return all effects to default |
+
+---
+
+## Architecture: The Camera Abstraction
+
+### The Core Insight
+
+All visual elements (slides, cutouts, talking head, background) exist in a **scene**.
+The **camera** views the scene. When the camera zooms, tilts, or pans - everything
+moves together, just like a real camera filming a physical set.
+
+```
+┌─────────────────────────────────────────────────────────┐
+│                        SCENE                           │
+│  ┌─────────────────────────────────────────────────┐   │
+│  │              Background Layer                   │   │
+│  │  ┌─────────────┐                                │   │
+│  │  │ Talking Head│      ┌──────────────────┐      │   │
+│  │  │   (cutout)  │      │      Slide       │      │   │
+│  │  └─────────────┘      │    (from .png)   │      │   │
+│  │                       └──────────────────┘      │   │
+│  └─────────────────────────────────────────────────┘   │
+└─────────────────────────────────────────────────────────┘
+                           │
+                           ▼
+                    ┌─────────────┐
+                    │   CAMERA    │
+                    │  zoom: 1.25 │
+                    │  tilt: -15° │
+                    │  pan: 0, 0  │
+                    └─────────────┘
+                           │
+                           ▼
+                  ┌─────────────────┐
+                  │  Final Output   │
+                  │   (1920x1080)   │
+                  └─────────────────┘
+```
+
+### Why This Matters
+
+**Keynote slides are designed for a specific frame.** If you create a slide with
+an arrow pointing at where the talking head cutout will be, that spatial
+relationship must be preserved when the camera zooms or tilts.
+
+If we zoomed only the background and not the slides, the arrow would point to
+the wrong place. The camera abstraction ensures everything transforms together.
+
+### Camera Properties
+
+```python
+@dataclass
+class CameraState:
+    zoom: float = 1.0        # 1.0 = 100%, 1.25 = 125%
+    rotation: float = 0.0    # degrees, positive = clockwise
+    pan_x: float = 0.0       # -1.0 to 1.0, percentage of frame
+    pan_y: float = 0.0       # -1.0 to 1.0, percentage of frame
+
+@dataclass
+class CameraKeyframe:
+    time: float              # timestamp in seconds
+    state: CameraState
+    easing: str = "linear"   # linear, ease-in, ease-out, ease-in-out
+```
+
+### Rendering Pipeline (Updated)
+
+```
+Current Pipeline:
+  Parse → Validate → Transform → Render
+                                   │
+                                   ▼
+                          build_filter_complex()
+                                   │
+                          [bg] → overlays → [vout]
+
+New Pipeline:
+  Parse → Validate → Transform → Render
+                         │
+                    Extract camera
+                    keyframes from
+                    markers
+                         │
+                         ▼
+                  build_filter_complex()
+                         │
+              [bg] → overlays → [scene]
+                                   │
+                          apply_camera_transform()
+                                   │
+                              [scene] → zoom/rotate/pan → [vout]
+```
+
+### FFmpeg Implementation
+
+The camera transform is a **final filter stage** applied to the composed scene:
+
+```
+# Compose scene (existing code)
+[0:v]scale=1920:1080[bg];
+[bg][slide1]overlay=...[s1];
+[s1][talkinghead]overlay=...[scene];
+
+# Camera transform (new)
+[scene]scale=iw*{zoom}:ih*{zoom},
+       rotate={rotation}*PI/180:fillcolor=black,
+       crop=1920:1080:(iw-1920)/2:(ih-1080)/2[vout]
+```
+
+For smooth animated zoom (using expressions):
+```
+[scene]zoompan=z='if(between(t,5,8), 1+0.25*(t-5)/3, 1)':
+              x='iw/2-(iw/zoom/2)':
+              y='ih/2-(ih/zoom/2)':
+              d=1:s=1920x1080:fps=30[vout]
+```
+
+### Camera Events in Timeline
+
+New model for camera changes:
+
+```python
+@dataclass
+class CameraEvent:
+    time: float
+    target_state: CameraState
+    duration: float = 0.0      # 0 = instant snap
+    easing: str = "ease-out"
+```
+
+Markers map to camera events:
+- `[Zoom2]` → `CameraEvent(time=t, target_state=CameraState(zoom=1.25), duration=0.2)`
+- `[TiltLeft]` → `CameraEvent(time=t, target_state=CameraState(rotation=-15), duration=0.3)`
+- `[Reset]` → `CameraEvent(time=t, target_state=CameraState(), duration=0.2)`
+
+### Considerations
+
+1. **Overscan**: When zoomed in, we're cropping. The scene must be rendered
+   larger than output (e.g., 2x) to have room for zoom without quality loss.
+
+2. **Rotation center**: Rotate around frame center, not corner.
+
+3. **State accumulation**: `[Zoom2]` then `[TiltLeft]` means zoom AND tilt
+   are both active. `[Reset]` clears all.
+
+4. **Interaction with cutouts**: Cutout positions are in scene-space, so they
+   transform naturally with the camera. No special handling needed.
+
+5. **Slides stay synced**: Keynote exports are positioned for the base frame.
+   Camera zoom/tilt transforms them identically to everything else.
+
+---
+
+## Implementation Plan
+
+### Phase 1: Camera Data Model ✓
+- [x] Add `CameraState` and `CameraEvent` to models.py
+- [x] Add camera effect markers to transformer.py
+- [x] Generate camera keyframes from markers
+
+### Phase 2: Render Pipeline ✓
+- [x] Modify renderer to compose to `[scene]` instead of `[vout]`
+- [x] Add camera transform stage after composition
+- [ ] Handle overscan (render larger, crop to output) - deferred, upsampling OK for now
+
+### Phase 3: Smooth Animation (partial)
+- [x] Support animated transitions between keyframes (linear interpolation)
+- [ ] Implement easing functions as FFmpeg expressions (ease-in, ease-out)
+- [ ] Test with rapid zoom sequences
+
+### Phase 4: Effect Presets ✓
+- [x] Define presets (Zoom0/1/2/3, TiltLeft/Right/NoTilt, Pan*, Reset)
+- [x] Presets defined in `CAMERA_PRESETS` dict in models.py
+- [ ] Support custom parameterized markers `[Zoom:1.35]` - future enhancement

example/citations.json

@@ -0,0 +1,10 @@
+[
+  {
+    "reference": "Gnommo Documentation - https://github.com/example/gnommo",
+    "context": ""
+  },
+  {
+    "reference": "FFmpeg Documentation - https://ffmpeg.org/documentation.html",
+    "context": ""
+  }
+]

example/manuscript.txt

@@ -1,5 +1,39 @@
-Welcome to GnommoEditor, a code-first video editing system. [S1]
+[S1]
+This is the first slide. It appears immediately.
 
-In this example, we demonstrate how slides appear at specific timestamps based on markers in the transcript. [S2]
+[S2]
+However, this is the second slide. It should appear 1 second prior to when I say “however”
 
-And that's the end of our demo.
+[S3]
+[video:KnightRotating]
+This is me talking alongside a video. The video is constrained within the red square. Notice how the video stops immediately when we make the transition to the next slide.
+
+[S4]
+I will continue to talk without pause, but in the finished recording - there will be a pause before the narration continues. Now a video will play that pauses the narration
+
+[S5]
+[video:gnommologo]
+
+Notice how my voice continues after the video finished
+
+[S6]
+
+[S7]
+This is the first slide. It appears immediately.
+
+[S8]
+However, this is the second slide. It should appear 1 second prior to when I say “however”
+
+[S9]
+[video:KnightRotating]
+This is me talking alongside a video. The video is constrained within the red square. Notice how the video stops immediately when we make the transition to the next slide.
+
+[S10]
+I will continue to talk without pause, but in the finished recording - there will be a pause before the narration continues. Now a video will play that pauses the narration
+
+[S11]
+[video:gnommologo]
+
+Notice how my voice continues after the video finished
+
+[S12]

example/media/narration/narration.json

@@ -0,0 +1,16 @@
+{
+  "talking_head_S1": {
+    "source_file": "talking_head_S1.mov",
+    "output_file": "talking_head_S1_processed.mov",
+    "cutout": "talkinghead",
+    "always_visible": true,
+    "filter": "talkinghead"
+  },
+  "talking_head_S3": {
+    "source_file": "talking_head_S3.mov",
+    "output_file": "talking_head_S3_processed.mov",
+    "cutout": "talkinghead",
+    "always_visible": true,
+    "filter": "talkinghead"
+  }
+}

example/media/slides/example/slides.json

@@ -0,0 +1,50 @@
+{
+  "S1": {
+    "image": "example.001.png",
+    "type": "fullscreen"
+  },
+  "S2": {
+    "image": "example.002.png",
+    "type": "fullscreen"
+  },
+  "S3": {
+    "image": "example.003.png",
+    "type": "fullscreen"
+  },
+  "S4": {
+    "image": "example.004.png",
+    "type": "fullscreen"
+  },
+  "S5": {
+    "image": "example.005.png",
+    "type": "fullscreen"
+  },
+  "S6": {
+    "image": "example.006.png",
+    "type": "fullscreen"
+  },
+  "S7": {
+    "image": "example.007.png",
+    "type": "fullscreen"
+  },
+  "S8": {
+    "image": "example.008.png",
+    "type": "fullscreen"
+  },
+  "S9": {
+    "image": "example.009.png",
+    "type": "fullscreen"
+  },
+  "S10": {
+    "image": "example.010.png",
+    "type": "fullscreen"
+  },
+  "S11": {
+    "image": "example.011.png",
+    "type": "fullscreen"
+  },
+  "S12": {
+    "image": "example.012.png",
+    "type": "fullscreen"
+  }
+}

example/media/videos/intermediate/segments/concat_list.txt

@@ -0,0 +1,2 @@
+file '/Users/jenstandstad/Projects/gnommo/example/media/videos/intermediate/talking_head_batch0.mov'
+file '/Users/jenstandstad/Projects/gnommo/example/media/videos/intermediate/segments/segment_0002.mov'

example/media/videos/narration_combined.transcript.json

@@ -0,0 +1,992 @@
+[
+  {
+    "word": "This",
+    "start": 10.739999999999997,
+    "end": 11.44
+  },
+  {
+    "word": "is",
+    "start": 11.44,
+    "end": 11.64
+  },
+  {
+    "word": "the",
+    "start": 11.64,
+    "end": 11.82
+  },
+  {
+    "word": "first",
+    "start": 11.82,
+    "end": 12.04
+  },
+  {
+    "word": "slide.",
+    "start": 12.04,
+    "end": 12.44
+  },
+  {
+    "word": "It",
+    "start": 12.92,
+    "end": 13.34
+  },
+  {
+    "word": "appears",
+    "start": 13.34,
+    "end": 13.7
+  },
+  {
+    "word": "immediate.",
+    "start": 13.7,
+    "end": 14.18
+  },
+  {
+    "word": "However,",
+    "start": 15.36,
+    "end": 16.06
+  },
+  {
+    "word": "this",
+    "start": 16.38,
+    "end": 16.48
+  },
+  {
+    "word": "is",
+    "start": 16.48,
+    "end": 16.62
+  },
+  {
+    "word": "the",
+    "start": 16.62,
+    "end": 16.8
+  },
+  {
+    "word": "second",
+    "start": 16.8,
+    "end": 17.08
+  },
+  {
+    "word": "slide.",
+    "start": 17.08,
+    "end": 17.42
+  },
+  {
+    "word": "It",
+    "start": 17.78,
+    "end": 18.02
+  },
+  {
+    "word": "should",
+    "start": 18.02,
+    "end": 18.24
+  },
+  {
+    "word": "appear",
+    "start": 18.24,
+    "end": 18.56
+  },
+  {
+    "word": "one",
+    "start": 18.56,
+    "end": 19.02
+  },
+  {
+    "word": "second",
+    "start": 19.02,
+    "end": 19.5
+  },
+  {
+    "word": "prior",
+    "start": 19.5,
+    "end": 19.92
+  },
+  {
+    "word": "to",
+    "start": 19.92,
+    "end": 20.16
+  },
+  {
+    "word": "the",
+    "start": 20.16,
+    "end": 20.26
+  },
+  {
+    "word": "word",
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+    "end": 20.54
+  },
+  {
+    "word": "when",
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+    "end": 21.24
+  },
+  {
+    "word": "I",
+    "start": 21.24,
+    "end": 21.32
+  },
+  {
+    "word": "say",
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+    "end": 21.5
+  },
+  {
+    "word": "whoever",
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+    "end": 21.86
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+  {
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+    "end": 22.44
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+  {
+    "word": "time.",
+    "start": 22.44,
+    "end": 22.7
+  },
+  {
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+    "start": 24.3,
+    "end": 25.0
+  },
+  {
+    "word": "is",
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+    "end": 25.14
+  },
+  {
+    "word": "me",
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+    "end": 25.38
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+  {
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+    "start": 25.38,
+    "end": 25.78
+  },
+  {
+    "word": "talking",
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+    "end": 27.18
+  },
+  {
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+    "end": 27.66
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+  {
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+    "end": 27.92
+  },
+  {
+    "word": "video.",
+    "start": 27.92,
+    "end": 28.16
+  },
+  {
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+    "start": 28.68,
+    "end": 28.96
+  },
+  {
+    "word": "video",
+    "start": 28.96,
+    "end": 29.2
+  },
+  {
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+    "end": 29.4
+  },
+  {
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+    "end": 29.82
+  },
+  {
+    "word": "within",
+    "start": 29.82,
+    "end": 30.18
+  },
+  {
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+  },
+  {
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+  },
+  {
+    "word": "square.",
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+    "end": 30.94
+  },
+  {
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+    "start": 31.3,
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+  },
+  {
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+  {
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+    "end": 32.16
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+    "end": 35.06
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+  {
+    "word": "slide.",
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+  },
+  {
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+    "end": 37.76
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+  {
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+  },
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+  },
+  {
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+  {
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+  },
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+  {
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+  },
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+  {
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+  {
+    "word": "square.",
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+  },
+  {
+    "word": "but",
+    "start": 94.2,
+    "end": 94.3
+  },
+  {
+    "word": "in",
+    "start": 94.3,
+    "end": 94.42
+  },
+  {
+    "word": "the",
+    "start": 94.42,
+    "end": 94.48
+  },
+  {
+    "word": "finished",
+    "start": 94.48,
+    "end": 94.7
+  },
+  {
+    "word": "recording",
+    "start": 94.7,
+    "end": 95.18
+  },
+  {
+    "word": "there",
+    "start": 95.18,
+    "end": 95.92
+  },
+  {
+    "word": "will",
+    "start": 95.92,
+    "end": 96.08
+  },
+  {
+    "word": "be",
+    "start": 96.08,
+    "end": 96.28
+  },
+  {
+    "word": "a",
+    "start": 96.28,
+    "end": 96.38
+  },
+  {
+    "word": "pause",
+    "start": 96.38,
+    "end": 96.64
+  },
+  {
+    "word": "before",
+    "start": 96.64,
+    "end": 97.02
+  },
+  {
+    "word": "the",
+    "start": 97.02,
+    "end": 97.22
+  },
+  {
+    "word": "narration",
+    "start": 97.22,
+    "end": 97.76
+  },
+  {
+    "word": "continues.",
+    "start": 97.76,
+    "end": 98.38
+  },
+  {
+    "word": "Now",
+    "start": 99.06,
+    "end": 99.26
+  },
+  {
+    "word": "a",
+    "start": 99.26,
+    "end": 99.4
+  },
+  {
+    "word": "video",
+    "start": 99.4,
+    "end": 99.64
+  },
+  {
+    "word": "will",
+    "start": 99.64,
+    "end": 99.8
+  },
+  {
+    "word": "play",
+    "start": 99.8,
+    "end": 100.1
+  },
+  {
+    "word": "that",
+    "start": 100.1,
+    "end": 100.5
+  },
+  {
+    "word": "pauses",
+    "start": 100.5,
+    "end": 101.24
+  },
+  {
+    "word": "the",
+    "start": 101.24,
+    "end": 101.5
+  },
+  {
+    "word": "narration.",
+    "start": 101.5,
+    "end": 101.92
+  },
+  {
+    "word": "Notice",
+    "start": 103.18,
+    "end": 103.92
+  },
+  {
+    "word": "how",
+    "start": 103.92,
+    "end": 104.14
+  },
+  {
+    "word": "my",
+    "start": 104.14,
+    "end": 104.32
+  },
+  {
+    "word": "voice",
+    "start": 104.32,
+    "end": 104.58
+  },
+  {
+    "word": "continues",
+    "start": 104.58,
+    "end": 105.1
+  },
+  {
+    "word": "after",
+    "start": 105.1,
+    "end": 105.58
+  },
+  {
+    "word": "the",
+    "start": 105.58,
+    "end": 105.76
+  },
+  {
+    "word": "video",
+    "start": 105.76,
+    "end": 105.98
+  },
+  {
+    "word": "finished.",
+    "start": 105.98,
+    "end": 106.48
+  }
+]

example/media/videos/talking_head.transcript.json

@@ -0,0 +1,497 @@
+[
+  {
+    "word": "This",
+    "start": 10.72,
+    "end": 11.4
+  },
+  {
+    "word": "is",
+    "start": 11.4,
+    "end": 11.6
+  },
+  {
+    "word": "the",
+    "start": 11.6,
+    "end": 11.78
+  },
+  {
+    "word": "first",
+    "start": 11.78,
+    "end": 11.98
+  },
+  {
+    "word": "slide.",
+    "start": 11.98,
+    "end": 12.44
+  },
+  {
+    "word": "It",
+    "start": 13.02,
+    "end": 13.3
+  },
+  {
+    "word": "appears",
+    "start": 13.3,
+    "end": 13.66
+  },
+  {
+    "word": "immediately.",
+    "start": 13.66,
+    "end": 14.3
+  },
+  {
+    "word": "However,",
+    "start": 15.34,
+    "end": 16.02
+  },
+  {
+    "word": "this",
+    "start": 16.34,
+    "end": 16.46
+  },
+  {
+    "word": "is",
+    "start": 16.46,
+    "end": 16.58
+  },
+  {
+    "word": "the",
+    "start": 16.58,
+    "end": 16.76
+  },
+  {
+    "word": "second",
+    "start": 16.76,
+    "end": 17.04
+  },
+  {
+    "word": "slide.",
+    "start": 17.04,
+    "end": 17.4
+  },
+  {
+    "word": "It",
+    "start": 17.74,
+    "end": 17.96
+  },
+  {
+    "word": "should",
+    "start": 17.96,
+    "end": 18.2
+  },
+  {
+    "word": "appear",
+    "start": 18.2,
+    "end": 18.54
+  },
+  {
+    "word": "one",
+    "start": 18.54,
+    "end": 18.98
+  },
+  {
+    "word": "second",
+    "start": 18.98,
+    "end": 19.46
+  },
+  {
+    "word": "prior",
+    "start": 19.46,
+    "end": 19.88
+  },
+  {
+    "word": "to",
+    "start": 19.88,
+    "end": 20.1
+  },
+  {
+    "word": "the",
+    "start": 20.1,
+    "end": 20.22
+  },
+  {
+    "word": "word",
+    "start": 20.22,
+    "end": 20.52
+  },
+  {
+    "word": "to",
+    "start": 20.52,
+    "end": 21.14
+  },
+  {
+    "word": "say",
+    "start": 21.14,
+    "end": 21.42
+  },
+  {
+    "word": "whoever",
+    "start": 21.42,
+    "end": 21.8
+  },
+  {
+    "word": "the",
+    "start": 21.8,
+    "end": 22.16
+  },
+  {
+    "word": "first",
+    "start": 22.16,
+    "end": 22.4
+  },
+  {
+    "word": "time.",
+    "start": 22.4,
+    "end": 22.68
+  },
+  {
+    "word": "This",
+    "start": 24.28,
+    "end": 24.96
+  },
+  {
+    "word": "is",
+    "start": 24.96,
+    "end": 25.12
+  },
+  {
+    "word": "me",
+    "start": 25.12,
+    "end": 25.36
+  },
+  {
+    "word": "taking,",
+    "start": 25.36,
+    "end": 25.74
+  },
+  {
+    "word": "talking",
+    "start": 26.12,
+    "end": 27.12
+  },
+  {
+    "word": "alongside",
+    "start": 27.12,
+    "end": 27.64
+  },
+  {
+    "word": "a",
+    "start": 27.64,
+    "end": 27.88
+  },
+  {
+    "word": "video.",
+    "start": 27.88,
+    "end": 28.16
+  },
+  {
+    "word": "The",
+    "start": 28.16,
+    "end": 28.92
+  },
+  {
+    "word": "video",
+    "start": 28.92,
+    "end": 29.18
+  },
+  {
+    "word": "is",
+    "start": 29.18,
+    "end": 29.36
+  },
+  {
+    "word": "constrained",
+    "start": 29.36,
+    "end": 29.76
+  },
+  {
+    "word": "within",
+    "start": 29.76,
+    "end": 30.14
+  },
+  {
+    "word": "the",
+    "start": 30.14,
+    "end": 30.32
+  },
+  {
+    "word": "red",
+    "start": 30.32,
+    "end": 30.48
+  },
+  {
+    "word": "square.",
+    "start": 30.48,
+    "end": 30.9
+  },
+  {
+    "word": "Notice",
+    "start": 31.26,
+    "end": 31.44
+  },
+  {
+    "word": "how",
+    "start": 31.44,
+    "end": 31.74
+  },
+  {
+    "word": "the",
+    "start": 31.74,
+    "end": 31.92
+  },
+  {
+    "word": "video",
+    "start": 31.92,
+    "end": 32.14
+  },
+  {
+    "word": "stops",
+    "start": 32.14,
+    "end": 32.44
+  },
+  {
+    "word": "immediately",
+    "start": 32.44,
+    "end": 32.94
+  },
+  {
+    "word": "when",
+    "start": 32.94,
+    "end": 33.36
+  },
+  {
+    "word": "we",
+    "start": 33.36,
+    "end": 33.54
+  },
+  {
+    "word": "make",
+    "start": 33.54,
+    "end": 33.74
+  },
+  {
+    "word": "the",
+    "start": 33.74,
+    "end": 33.94
+  },
+  {
+    "word": "transition",
+    "start": 33.94,
+    "end": 34.38
+  },
+  {
+    "word": "to",
+    "start": 34.38,
+    "end": 34.68
+  },
+  {
+    "word": "the",
+    "start": 34.68,
+    "end": 34.8
+  },
+  {
+    "word": "next",
+    "start": 34.8,
+    "end": 35.02
+  },
+  {
+    "word": "slide.",
+    "start": 35.02,
+    "end": 35.48
+  },
+  {
+    "word": "I",
+    "start": 37.18,
+    "end": 37.72
+  },
+  {
+    "word": "will",
+    "start": 37.72,
+    "end": 37.78
+  },
+  {
+    "word": "continue",
+    "start": 37.78,
+    "end": 38.08
+  },
+  {
+    "word": "to",
+    "start": 38.08,
+    "end": 38.32
+  },
+  {
+    "word": "talk",
+    "start": 38.32,
+    "end": 38.56
+  },
+  {
+    "word": "without",
+    "start": 38.56,
+    "end": 38.88
+  },
+  {
+    "word": "pause,",
+    "start": 38.88,
+    "end": 39.24
+  },
+  {
+    "word": "but",
+    "start": 39.46,
+    "end": 39.56
+  },
+  {
+    "word": "in",
+    "start": 39.56,
+    "end": 39.68
+  },
+  {
+    "word": "the",
+    "start": 39.68,
+    "end": 39.74
+  },
+  {
+    "word": "finished",
+    "start": 39.74,
+    "end": 39.98
+  },
+  {
+    "word": "recording",
+    "start": 39.98,
+    "end": 40.46
+  },
+  {
+    "word": "there",
+    "start": 40.46,
+    "end": 41.18
+  },
+  {
+    "word": "will",
+    "start": 41.18,
+    "end": 41.36
+  },
+  {
+    "word": "be",
+    "start": 41.36,
+    "end": 41.54
+  },
+  {
+    "word": "a",
+    "start": 41.54,
+    "end": 41.64
+  },
+  {
+    "word": "pause",
+    "start": 41.64,
+    "end": 41.92
+  },
+  {
+    "word": "before",
+    "start": 41.92,
+    "end": 42.28
+  },
+  {
+    "word": "the",
+    "start": 42.28,
+    "end": 42.5
+  },
+  {
+    "word": "narration",
+    "start": 42.5,
+    "end": 43.0
+  },
+  {
+    "word": "continues.",
+    "start": 43.0,
+    "end": 43.64
+  },
+  {
+    "word": "Now",
+    "start": 44.38,
+    "end": 44.52
+  },
+  {
+    "word": "a",
+    "start": 44.52,
+    "end": 44.68
+  },
+  {
+    "word": "video",
+    "start": 44.68,
+    "end": 44.9
+  },
+  {
+    "word": "will",
+    "start": 44.9,
+    "end": 45.08
+  },
+  {
+    "word": "play",
+    "start": 45.08,
+    "end": 45.36
+  },
+  {
+    "word": "that",
+    "start": 45.36,
+    "end": 45.76
+  },
+  {
+    "word": "pauses",
+    "start": 45.76,
+    "end": 46.52
+  },
+  {
+    "word": "the",
+    "start": 46.52,
+    "end": 46.76
+  },
+  {
+    "word": "narration.",
+    "start": 46.76,
+    "end": 47.2
+  },
+  {
+    "word": "Notice",
+    "start": 48.64,
+    "end": 49.18
+  },
+  {
+    "word": "how",
+    "start": 49.18,
+    "end": 49.42
+  },
+  {
+    "word": "my",
+    "start": 49.42,
+    "end": 49.58
+  },
+  {
+    "word": "voice",
+    "start": 49.58,
+    "end": 49.8
+  },
+  {
+    "word": "continues",
+    "start": 49.8,
+    "end": 50.36
+  },
+  {
+    "word": "after",
+    "start": 50.36,
+    "end": 50.84
+  },
+  {
+    "word": "the",
+    "start": 50.84,
+    "end": 51.02
+  },
+  {
+    "word": "video",
+    "start": 51.02,
+    "end": 51.24
+  },
+  {
+    "word": "finished.",
+    "start": 51.24,
+    "end": 51.76
+  }
+]

example/media/videos/videos.json

@@ -0,0 +1,47 @@
+{
+  "talking_head_S1": {
+    "source_file": "talking_head_S1.mov",
+    "output_file": "talking_head_S1_processed.mov",
+    "cutout": "talkinghead",
+    "always_visible": true,
+    "filter": "talkinghead"
+  },
+  "talking_head_S3": {
+    "source_file": "talking_head_S3.mov",
+    "output_file": "talking_head_S3_processed.mov",
+    "cutout": "talkinghead",
+    "always_visible": true,
+    "filter": "talkinghead"
+  },
+  "KnightRotating": {
+    "description": "Knight model rotating in place",
+    "source_file": "KnightRotating.mp4",
+    "output_file": "KnightRotating.mp4",
+    "cutout": "square",
+    "filter": [],
+    "is_shared": true
+  },
+  "gnommologo": {
+    "source_file": "Logo.mov",
+    "is_shared": true,
+    "cutout": "fullscreen",
+    "pause_narration": 17,
+    "take": 25,
+    "skip": 0
+  },
+  "Zoomin_MontageZoom": {
+    "description": "Montage zoom",
+    "source_file": "MontageZoom.mp4",
+    "output_file": "MontageZoom.mp4",
+    "pause_narration": 5,
+    "cutout": "square",
+    "is_shared": true,
+    "filter": []
+  },
+  "narration_combined": {
+    "source_file": "narration_combined.mov",
+    "output_file": "narration_combined.mov",
+    "cutout": "square",
+    "filter": []
+  }
+}

example/project.json

@@ -1,11 +1,93 @@
 {
+  "id": "VideoExample",
+  "name": "Example",
+  "description": "In this video, I demonstrate the Gnommo video editing pipeline - a code-first approach to creating presenter-mode videos from Keynote presentations.",
+  "footer": "Subscribe for more tutorials!\nTwitter: @example",
   "resolution": [1920, 1080],
   "fps": 30,
-  "talkinghead": {
+  "gnommo_scratch": null,           
-    "x": 50,
+  "defaultSlideType": "fullscreen",
-    "y": 600,
+  "keynote_file": "media/example.key",        
-    "targetheight": 400
+  "transcript": "media/videos/talking_head.transcript.json",
-  },
+  "narration": "media/narration/narration.json",
-  "defaultSlideType": "square",
+  "background": "shared_assets/solarpunk.png",
-  "background_video": ""
+  "videos": "media/videos/videos.json",
+  "slides": "media/slides/Example/slides.json",
+  "audio": "media/audio/audio.json",
+  "default_filters": {                                                                                                                                                  
+      "talkinghead": [
+        {
+          "type": "audio_normalize",
+          "eq_bands": [
+            {"freq": 47, "gain": -15, "type": "lowshelf"},
+            {"freq": 107, "gain": -1.3, "q": 1.2},
+            {"freq": 597, "gain": -5.2, "q": 2},
+            {"freq": 11811, "gain": 2.8, "q": 1},
+            {"freq": 24000, "gain": 3.9, "type": "highshelf"}
+          ],
+          "highpass": 0,
+          "room_eq": false,
+          "dereverb_model": "shared_assets/models/std.rnnn",
+          "dereverb_mix": 0.8,
+          "denoise": true,
+          "noise_floor": -25,
+          "gate": true,
+          "gate_threshold": -35,
+          "gate_range": -20,
+          "compress": true,
+          "threshold": -20,
+          "ratio": 3,
+          "attack": 12,
+          "release": 100,
+          "makeup": 2,
+          "normalize": true,
+          "target_lufs": -16,
+          "target_lra": 11,
+          "target_tp": -1.5
+        },                                                                                                                                                                
+        {                                                                                                                                                                 
+          "type": "color_grade",                                                                                                                                          
+          "saturation": 1.15,                                                                                                                                             
+          "contrast": 1.05,                                                                                                                                               
+          "bm": -0.10,                                                                                                                                                    
+          "rm": 0.04                                                                                                                                                      
+        },                                                                                                                                                                
+        {                                                                                                                                                                 
+          "type": "gnommokey",                                                                                                                                            
+          "screen_color": [81, 137, 65],                                                                                                                                  
+          "screen_gain": 175,                                                                                                                                             
+          "screen_balance": 58,                                                                                                                                           
+          "despill_bias": [217, 240, 255],                                                                                                                                
+          "despill_strength": 5.0,                                                                                                                                        
+          "edge_erode": 1.0,                                                                                                                                              
+          "clip_black": 0,                                                                                                                                                
+          "clip_white": 100                                                                                                                                               
+        },                                                                                                                                                                
+        {                                                                                                                                                                 
+          "type": "mask",                                                                                                                                                 
+          "left": 0.05,                                                                                                                                                   
+          "right": 0.1,                                                                                                                                                   
+          "top": 0.1,                                                                                                                                                     
+          "bottom": 0.0                                                                                                                                                   
+        }                                                                                                                                                                 
+      ]                                                                                                                                                                   
+    },          
+   "cutouts": {
+    "talkinghead": {
+      "x": "-10%",
+      "y": "40%",
+      "height": "60%"
+    },
+    "square": {
+      "x": "45%",
+      "y": "3%",
+      "width": "53%",
+      "height": "94%"
+    },
+    "fullscreen": {
+      "x": "0%",
+      "y": "0%",
+      "height": "100%"
+    }
+  }
 }

example/slides.json

@@ -1,10 +0,0 @@
-{
-  "S1": {
-    "image": "S1.png",
-    "type": "square"
-  },
-  "S2": {
-    "image": "S2.png",
-    "type": "square"
-  }
-}

example/transcript.csv

@@ -1,8 +0,0 @@
-t,word
-0.00,Hello
-0.30,world
-0.60,[S1]
-1.50,Second
-1.80,slide
-2.00,[S2]
-2.50,End

example/videos.json

@@ -1,6 +0,0 @@
-{
-  "talking_head": {
-    "file": "media/talking_head.mp4",
-    "preprocess": []
-  }
-}

gnommo.sh

@@ -1,154 +1,21 @@
 #!/bin/bash
 #
 # GnommoEditor - Code-first video editing pipeline
+# This is a thin wrapper that activates the venv and runs the Python CLI.
 #
-# Usage:
+# Usage: gnommo -p <project> [action] [options]
-#   gnommo.sh -p <project>              Render project
+# Run with -h for full help.
-#   gnommo.sh -p <project> import       Generate slides.json from image files
-#   gnommo.sh -p <project> validate     Validate only
-#   gnommo.sh -p <project> preprocess   Apply video preprocessing filters
-#   gnommo.sh -p <project> transcribe   Transcribe video
-#   gnommo.sh -p <project> align        Align markers to transcript
-#   gnommo.sh -p <project> all          Full pipeline: transcribe → align → render
 #
 
-set -e
-
 SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 VENV_PYTHON="$SCRIPT_DIR/venv/bin/python"
 
 # Check for venv
 if [[ ! -f "$VENV_PYTHON" ]]; then
     echo "Error: Virtual environment not found at $SCRIPT_DIR/venv"
-    echo "Create it with: python -m venv venv && ./venv/bin/pip install openai-whisper"
+    echo "Create it with: python -m venv venv && ./venv/bin/pip install -e . openai-whisper"
     exit 1
 fi
 
-# Parse arguments
+# Pass all arguments directly to the Python CLI
-PROJECT=""
+exec "$VENV_PYTHON" -m gnommo "$@"
-COMMAND="render"
-VERBOSE=""
-FORCE=""
-
-usage() {
-    echo "Usage: gnommo.sh -p <project> [command] [options]"
-    echo ""
-    echo "Commands:"
-    echo "  render      Render video (default)"
-    echo "  import      Generate slides.json from image files"
-    echo "  validate    Validate project only"
-    echo "  preprocess  Apply video preprocessing filters (chroma key, etc.)"
-    echo "  transcribe  Transcribe video audio"
-    echo "  align       Align manuscript to transcript"
-    echo "  all         Full pipeline: transcribe → align → render"
-    echo ""
-    echo "Options:"
-    echo "  -p <dir>    Project directory (required)"
-    echo "  -v          Verbose output"
-    echo "  -f          Force overwrite existing files"
-    echo "  -h          Show this help"
-    echo ""
-    echo "Examples:"
-    echo "  gnommo.sh -p video1              # Render video1 project"
-    echo "  gnommo.sh -p video1 import       # Generate slides.json"
-    echo "  gnommo.sh -p video1 import -f    # Force overwrite slides.json"
-    echo "  gnommo.sh -p video1 validate     # Validate only"
-    echo "  gnommo.sh -p video1 all          # Full pipeline"
-    exit 0
-}
-
-while [[ $# -gt 0 ]]; do
-    case $1 in
-        -p|--project)
-            PROJECT="$2"
-            shift 2
-            ;;
-        -v|--verbose)
-            VERBOSE="-v"
-            shift
-            ;;
-        -f|--force)
-            FORCE="-f"
-            shift
-            ;;
-        -h|--help)
-            usage
-            ;;
-        import|validate|render|preprocess|transcribe|align|all)
-            COMMAND="$1"
-            shift
-            ;;
-        *)
-            echo "Unknown option: $1"
-            usage
-            ;;
-    esac
-done
-
-# Validate project argument
-if [[ -z "$PROJECT" ]]; then
-    echo "Error: Project directory required (-p <project>)"
-    echo ""
-    usage
-fi
-
-if [[ ! -d "$PROJECT" ]]; then
-    echo "Error: Project directory not found: $PROJECT"
-    exit 1
-fi
-
-if [[ ! -f "$PROJECT/project.json" ]]; then
-    echo "Error: project.json not found in $PROJECT"
-    exit 1
-fi
-
-# Run commands using new CLI interface
-run_gnommo() {
-    "$VENV_PYTHON" -m gnommo -p "$PROJECT" -a "$1" $VERBOSE
-}
-
-run_gnommo_import() {
-    "$VENV_PYTHON" -m gnommo -p "$PROJECT" -a validate -i $FORCE $VERBOSE
-}
-
-case $COMMAND in
-    import)
-        echo "=== Importing assets for $PROJECT ==="
-        run_gnommo_import
-        ;;
-
-    validate)
-        echo "=== Validating $PROJECT ==="
-        run_gnommo validate
-        ;;
-
-    transcribe)
-        echo "=== Transcribing $PROJECT ==="
-        run_gnommo transcribe
-        ;;
-
-    align)
-        echo "=== Aligning $PROJECT ==="
-        run_gnommo align
-        ;;
-
-    render)
-        echo "=== Rendering $PROJECT ==="
-        run_gnommo render
-        ;;
-
-    preprocess)
-        echo "=== Preprocessing $PROJECT ==="
-        run_gnommo preprocess
-        ;;
-
-    all)
-        echo "=== Full Pipeline: $PROJECT ==="
-        run_gnommo all
-        ;;
-
-    *)
-        echo "Unknown command: $COMMAND"
-        usage
-        ;;
-esac

gnommo/aligner.py

@@ -1,199 +0,0 @@
-"""Alignment stage: match manuscript markers to transcript timestamps."""
-
-import csv
-import re
-from dataclasses import dataclass
-from pathlib import Path
-
-from .errors import GnommoError
-from .transcriber import TranscribedWord
-
-
-class AlignmentError(GnommoError):
-    """Error during alignment."""
-    pass
-
-
-@dataclass
-class MarkerAlignment:
-    """A marker with its aligned timestamp."""
-    marker_id: str
-    timestamp: float
-    matched_phrase: str
-    confidence: float  # 0-1, how confident the match is
-
-
-def extract_marker_contexts(manuscript_text: str) -> list[tuple[str, str]]:
-    """
-    Extract markers and the text immediately following them.
-
-    Returns:
-        List of (marker_id, following_text) tuples
-    """
-    # Split by markers, keeping the markers
-    parts = re.split(r"\[([A-Za-z0-9_]+)\]", manuscript_text)
-
-    # parts will be: [text_before, marker1, text_after1, marker2, text_after2, ...]
-    contexts = []
-
-    for i in range(1, len(parts), 2):
-        marker_id = parts[i]
-        if i + 1 < len(parts):
-            following_text = parts[i + 1].strip()
-            # Get first sentence or first N words
-            following_text = _get_first_phrase(following_text)
-            contexts.append((marker_id, following_text))
-
-    return contexts
-
-
-def _get_first_phrase(text: str, max_words: int = 10) -> str:
-    """Extract first phrase (up to first sentence end or max_words)."""
-    # Clean up the text
-    text = text.replace("\n", " ").strip()
-
-    # Find first sentence boundary
-    match = re.search(r"[.!?]", text)
-    if match and match.start() < 200:
-        text = text[: match.start()]
-
-    # Limit to max_words
-    words = text.split()[:max_words]
-    return " ".join(words)
-
-
-def normalize_text(text: str) -> str:
-    """Normalize text for matching (lowercase, remove punctuation)."""
-    text = text.lower()
-    text = re.sub(r"[^\w\s]", "", text)
-    text = re.sub(r"\s+", " ", text)
-    return text.strip()
-
-
-def find_phrase_in_transcript(
-    phrase: str,
-    transcript: list[TranscribedWord],
-    start_from: int = 0,
-) -> tuple[int, float]:
-    """
-    Find a phrase in the transcript and return the word index and timestamp.
-
-    Uses sliding window matching with normalization.
-
-    Returns:
-        Tuple of (word_index, timestamp) or (-1, 0.0) if not found
-    """
-    phrase_normalized = normalize_text(phrase)
-    phrase_words = phrase_normalized.split()
-
-    if not phrase_words:
-        return -1, 0.0
-
-    # Try to find increasingly shorter prefixes
-    for length in range(len(phrase_words), 2, -1):
-        target = " ".join(phrase_words[:length])
-
-        # Sliding window through transcript
-        for i in range(start_from, len(transcript) - length + 1):
-            window_words = [normalize_text(transcript[j].word) for j in range(i, i + length)]
-            window_text = " ".join(window_words)
-
-            if target in window_text or window_text in target:
-                return i, transcript[i].start
-
-    # Fallback: try to find just the first few words
-    if len(phrase_words) >= 2:
-        target = " ".join(phrase_words[:3])
-        for i in range(start_from, len(transcript) - 2):
-            window_words = [normalize_text(transcript[j].word) for j in range(i, min(i + 5, len(transcript)))]
-            window_text = " ".join(window_words)
-            if phrase_words[0] in window_text and phrase_words[1] in window_text:
-                return i, transcript[i].start
-
-    return -1, 0.0
-
-
-def align_markers(
-    manuscript_text: str,
-    transcript: list[TranscribedWord],
-    offset_seconds: float = -1.0,
-) -> list[MarkerAlignment]:
-    """
-    Align manuscript markers to transcript timestamps.
-
-    Args:
-        manuscript_text: Full manuscript text with [S1], [S2] etc.
-        transcript: Word-level transcript with timestamps
-        offset_seconds: Offset to apply to found timestamps (default -1.0)
-
-    Returns:
-        List of MarkerAlignment with timestamps
-    """
-    contexts = extract_marker_contexts(manuscript_text)
-    alignments: list[MarkerAlignment] = []
-
-    last_index = 0
-
-    for marker_id, following_text in contexts:
-        idx, timestamp = find_phrase_in_transcript(
-            following_text, transcript, start_from=last_index
-        )
-
-        if idx >= 0:
-            # Apply offset (e.g., -1 second before the word)
-            adjusted_time = max(0.0, timestamp + offset_seconds)
-            alignments.append(MarkerAlignment(
-                marker_id=marker_id,
-                timestamp=adjusted_time,
-                matched_phrase=following_text[:50],
-                confidence=1.0,
-            ))
-            last_index = idx
-        else:
-            # Could not find match - report but continue
-            alignments.append(MarkerAlignment(
-                marker_id=marker_id,
-                timestamp=-1.0,  # Indicates not found
-                matched_phrase=following_text[:50],
-                confidence=0.0,
-            ))
-
-    return alignments
-
-
-def save_aligned_transcript(
-    alignments: list[MarkerAlignment],
-    transcript: list[TranscribedWord],
-    output_path: Path,
-) -> None:
-    """
-    Save aligned transcript as CSV compatible with gnommo's transcript.csv format.
-
-    Format:
-        t,word
-        0.00,Hello
-        1.50,[S1]
-        1.51,This
-        ...
-    """
-    # Build list of (timestamp, word) including markers
-    entries: list[tuple[float, str]] = []
-
-    # Add all words from transcript
-    for word in transcript:
-        entries.append((word.start, word.word))
-
-    # Add markers at their aligned positions
-    for alignment in alignments:
-        if alignment.timestamp >= 0:
-            entries.append((alignment.timestamp, f"[{alignment.marker_id}]"))
-
-    # Sort by timestamp
-    entries.sort(key=lambda x: x[0])
-
-    # Write CSV
-    with open(output_path, "w", encoding="utf-8", newline="") as f:
-        writer = csv.writer(f)
-        writer.writerow(["t", "word"])
-        for timestamp, word in entries:
-            writer.writerow([f"{timestamp:.2f}", word])

gnommo/cache.py

@@ -0,0 +1,100 @@
+"""GnommoCache - External storage extension for large media files.
+
+Provides transparent fallback to external storage when files are not found locally.
+Configure via ~/.gnommo.conf:
+
+    [cache]
+    path = /Volumes/GnommoDisk/gnommo
+
+Files are looked up first locally, then in the cache at:
+    {cache_path}/{project_name}/{relative_path}
+"""
+
+import configparser
+from pathlib import Path
+from typing import Optional, Tuple
+
+_cache_config: Optional[dict] = None
+
+
+def load_cache_config() -> Optional[Path]:
+    """Load gnommo.conf and return cache path if configured.
+
+    Configuration file location: ~/.gnommo.conf
+
+    Returns:
+        Path to the cache root directory, or None if not configured.
+    """
+    global _cache_config
+    if _cache_config is not None:
+        return _cache_config.get("path")
+
+    config_path = Path.home() / ".gnommo.conf"
+    if not config_path.exists():
+        _cache_config = {}
+        return None
+
+    config = configparser.ConfigParser()
+    config.read(config_path)
+
+    if config.has_option("cache", "path"):
+        cache_path = Path(config.get("cache", "path"))
+        _cache_config = {"path": cache_path}
+        return cache_path
+
+    _cache_config = {}
+    return None
+
+
+def resolve_with_cache(
+    local_path: Path,
+    project_path: Path,
+) -> Tuple[Path, bool]:
+    """
+    Resolve a file path with cache fallback (read-only).
+
+    Checks the local path first. If not found and cache is configured,
+    checks the cache directory which mirrors the project structure.
+
+    Args:
+        local_path: The expected local path to the file
+        project_path: The project root directory
+
+    Returns:
+        Tuple of (resolved_path, is_cached) where is_cached=True if
+        the file was found in the external cache instead of locally.
+    """
+    # Check local path first
+    if local_path.exists():
+        return local_path, False
+
+    # Check cache
+    cache_base = load_cache_config()
+    if cache_base is None:
+        return local_path, False  # No cache configured
+
+    # Build cache path: {cache_base}/{project_name}/{relative_path}
+    try:
+        relative = local_path.relative_to(project_path)
+        cache_path = cache_base / project_path.name / relative
+        if cache_path.exists():
+            return cache_path, True
+    except ValueError:
+        pass  # local_path is not relative to project_path
+
+    return local_path, False
+
+
+def is_cache_configured() -> bool:
+    """Check if cache is configured (for status messages)."""
+    return load_cache_config() is not None
+
+
+def get_cache_info() -> Optional[str]:
+    """Get a human-readable cache configuration string."""
+    cache_path = load_cache_config()
+    if cache_path is None:
+        return None
+    if cache_path.exists():
+        return f"{cache_path} (connected)"
+    return f"{cache_path} (not connected)"

gnommo/description.py

@@ -0,0 +1,358 @@
+"""Description generator: Create YouTube description with chapters, citations, and attributions."""
+
+import re
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Optional
+
+from .models import (
+    Attribution,
+    Citation,
+    ProjectConfig,
+    SlideDefinition,
+    VideoSource,
+)
+from .transcriber import TranscribedWord
+
+
+@dataclass
+class ChapterMarker:
+    """A chapter marker with timestamp and title."""
+
+    slide_id: str
+    timestamp: float
+    title: str
+
+
+def _format_timestamp(seconds: float) -> str:
+    """Format seconds as M:SS or H:MM:SS for YouTube chapters."""
+    if seconds < 0:
+        return "0:00"
+
+    hours = int(seconds // 3600)
+    minutes = int((seconds % 3600) // 60)
+    secs = int(seconds % 60)
+
+    if hours > 0:
+        return f"{hours}:{minutes:02d}:{secs:02d}"
+    else:
+        return f"{minutes}:{secs:02d}"
+
+
+def _extract_chapter_title(
+    manuscript_text: str, slide_id: str, slides: dict[str, SlideDefinition]
+) -> str:
+    """
+    Extract a chapter title for a slide.
+
+    Tries to find meaningful title from:
+    1. First sentence/line after the slide marker
+    2. Falls back to slide ID if nothing useful found
+    """
+    # Find the marker and text after it
+    pattern = rf"\[{re.escape(slide_id)}\]\s*(.+?)(?=\[S\d+\]|\[video:|\[narration:|\Z)"
+    match = re.search(pattern, manuscript_text, re.DOTALL)
+
+    if match:
+        text = match.group(1).strip()
+        # Remove any other markers from the text
+        text = re.sub(r"\[[^\]]+\]", "", text).strip()
+
+        if text:
+            # Take first line or first sentence
+            first_line = text.split("\n")[0].strip()
+            # Truncate if too long
+            if len(first_line) > 50:
+                # Try to break at word boundary
+                truncated = first_line[:47]
+                last_space = truncated.rfind(" ")
+                if last_space > 30:
+                    truncated = truncated[:last_space]
+                first_line = truncated + "..."
+
+            if first_line:
+                return first_line
+
+    # Fallback to slide number
+    slide_num = slide_id[1:] if slide_id.startswith("S") else slide_id
+    return f"Section {slide_num}"
+
+
+def _align_citation_to_transcription(
+    citation: Citation,
+    transcription: list[TranscribedWord],
+    manuscript_text: str,
+) -> float:
+    """
+    Align a citation to the transcription to find its timestamp.
+
+    Uses the context text following the citation to find the approximate
+    position in the audio.
+
+    Returns timestamp in seconds, or -1 if not found.
+    """
+    if not transcription or not citation.context:
+        return -1.0
+
+    # Get more context from the manuscript for better matching
+    # Find the citation in the manuscript and get surrounding text
+    pattern = rf"\[cite:{re.escape(citation.reference)}\]\s*(.{{0,200}})"
+    match = re.search(pattern, manuscript_text, re.DOTALL)
+
+    if not match:
+        return -1.0
+
+    context_text = match.group(1).strip()
+    # Clean up: remove markers, normalize whitespace
+    context_text = re.sub(r"\[[^\]]+\]", "", context_text)
+    context_text = " ".join(context_text.split())
+
+    if not context_text:
+        return -1.0
+
+    # Normalize for matching
+    context_words = context_text.lower().split()[:10]  # Use up to 10 words
+    if not context_words:
+        return -1.0
+
+    # Build normalized transcription
+    trans_words = [(w.word.lower(), w.start) for w in transcription]
+
+    # Simple sliding window match
+    best_match_score = 0
+    best_match_time = -1.0
+
+    for i in range(len(trans_words) - len(context_words) + 1):
+        matches = 0
+        for j, ctx_word in enumerate(context_words):
+            trans_word = trans_words[i + j][0]
+            # Allow partial matches for longer words
+            if ctx_word == trans_word:
+                matches += 1
+            elif len(ctx_word) >= 4 and (
+                ctx_word in trans_word or trans_word in ctx_word
+            ):
+                matches += 0.5
+
+        score = matches / len(context_words)
+        if score > best_match_score and score >= 0.5:
+            best_match_score = score
+            best_match_time = trans_words[i][1]
+
+    return best_match_time
+
+
+def generate_chapters(
+    manuscript_text: str,
+    slides: dict[str, SlideDefinition],
+    marker_timings: list,  # List of MarkerTiming from transformer
+    min_chapter_duration: float = 30.0,
+) -> list[ChapterMarker]:
+    """
+    Generate chapter markers from slide timings.
+
+    Args:
+        manuscript_text: The manuscript content
+        slides: Slide definitions
+        marker_timings: Aligned marker timings from the transformer
+        min_chapter_duration: Minimum seconds between chapters (merges short ones)
+
+    Returns:
+        List of ChapterMarker objects
+    """
+    chapters = []
+
+    # Build timing lookup
+    timing_lookup = {
+        t.marker_id: t.timestamp for t in marker_timings if t.timestamp >= 0
+    }
+
+    # Process slides in order
+    slide_ids = sorted(
+        [s for s in slides.keys() if s.startswith("S")],
+        key=lambda x: int(x[1:]) if x[1:].isdigit() else 0,
+    )
+
+    for slide_id in slide_ids:
+        if slide_id not in timing_lookup:
+            continue
+        timestamp = timing_lookup[slide_id]
+        title = _extract_chapter_title(manuscript_text, slide_id, slides)
+        if chapters and (timestamp - chapters[-1].timestamp) < min_chapter_duration:
+            continue  # Skip this chapter, previous one covers it
+
+        chapters.append(
+            ChapterMarker(
+                slide_id=slide_id,
+                timestamp=timestamp,
+                title=title,
+            )
+        )
+
+    # Ensure first chapter starts at 0:00
+    if chapters and chapters[0].timestamp > 0:
+        chapters[0] = ChapterMarker(
+            slide_id=chapters[0].slide_id,
+            timestamp=0.0,
+            title=chapters[0].title,
+        )
+
+    return chapters
+
+
+def collect_attributions(
+    videos: dict[str, VideoSource],
+    video_events: list = None,
+) -> list[tuple[str, Attribution]]:
+    """
+    Collect all video attributions.
+
+    Returns list of (video_id, Attribution) tuples for videos that have attribution.
+    Only includes videos that are actually used in the project (via video_events)
+    or videos from shared assets that have attribution.
+    """
+    attributions = []
+
+    # Get set of used video IDs from events
+    used_video_ids = set()
+    if video_events:
+        for event in video_events:
+            used_video_ids.add(event.video_id)
+
+    for video_id, video_source in videos.items():
+        if video_source.attribution:
+            # Include if used in video or if it's a shared asset
+            if video_id in used_video_ids or video_source.is_shared:
+                attributions.append((video_id, video_source.attribution))
+
+    return attributions
+
+
+def generate_description(
+    config: ProjectConfig,
+    manuscript_text: str,
+    slides: dict[str, SlideDefinition],
+    videos: dict[str, VideoSource],
+    marker_timings: list,
+    transcription: list[TranscribedWord] = None,
+    video_events: list = None,
+    citations: list[Citation] = None,
+    include_chapters: bool = True,
+    include_citations: bool = True,
+    include_attributions: bool = True,
+) -> str:
+    """
+    Generate complete YouTube description.
+
+    Combines:
+    - Video description from project.json
+    - Chapter markers (optional)
+    - Citations from manuscript (optional)
+    - Stock footage attributions (optional)
+    - Footer from project.json
+
+    Returns formatted description text.
+    """
+    sections = []
+
+    # 1. Video description
+    if config.description:
+        sections.append(config.description.strip())
+
+    # 2. Chapters
+    if include_chapters:
+        chapters = generate_chapters(manuscript_text, slides, marker_timings)
+        if chapters:
+            chapter_lines = ["CHAPTERS", ""]
+            for ch in chapters:
+                chapter_lines.append(f"{_format_timestamp(ch.timestamp)} {ch.title}")
+            sections.append("\n".join(chapter_lines))
+
+    # 3. Citations/References
+    if include_citations:
+        citations = citations or []
+        if citations and transcription:
+            # Align citations to get timestamps
+            for citation in citations:
+                citation.timestamp = _align_citation_to_transcription(
+                    citation, transcription, manuscript_text
+                )
+
+        if citations:
+            ref_lines = ["REFERENCES", ""]
+            for citation in citations:
+                if citation.timestamp >= 0:
+                    ref_lines.append(
+                        f"{_format_timestamp(citation.timestamp)} - {citation.reference}"
+                    )
+                else:
+                    ref_lines.append(f"- {citation.reference}")
+            sections.append("\n".join(ref_lines))
+
+    # 4. Stock footage attributions
+    if include_attributions:
+        attributions = collect_attributions(videos, video_events)
+        if attributions:
+            attr_lines = ["STOCK FOOTAGE", ""]
+            for video_id, attr in attributions:
+                # Format: "Description by Creator via Source: URL"
+                line = f"{video_id.replace('_', ' ').title()} by {attr.creator} via {attr.source.title()}"
+                if attr.url:
+                    line += f": {attr.url}"
+                attr_lines.append(line)
+            sections.append("\n".join(attr_lines))
+
+    # 5. Footer
+    if config.footer:
+        sections.append(config.footer.strip())
+
+    # Join sections with double newlines
+    return "\n\n".join(sections)
+
+
+def write_description_file(
+    output_path: Path,
+    config: ProjectConfig,
+    manuscript_text: str,
+    slides: dict[str, SlideDefinition],
+    videos: dict[str, VideoSource],
+    marker_timings: list,
+    transcription: list[TranscribedWord] = None,
+    video_events: list = None,
+    citations: list[Citation] = None,
+) -> str:
+    """
+    Generate and write YouTube description to file.
+
+    Args:
+        output_path: Path to write description (e.g., out/description_youtube.txt)
+        config: Project configuration
+        manuscript_text: Manuscript content
+        slides: Slide definitions
+        videos: Video definitions
+        marker_timings: Aligned marker timings
+        transcription: Word-level transcription (optional, for citation timestamps)
+        video_events: Video events from render plan (optional, for attribution filtering)
+        citations: Pre-extracted citations (optional, loaded from citations.json)
+
+    Returns:
+        The generated description text
+    """
+    description = generate_description(
+        config=config,
+        manuscript_text=manuscript_text,
+        slides=slides,
+        videos=videos,
+        marker_timings=marker_timings,
+        transcription=transcription,
+        video_events=video_events,
+        citations=citations,
+    )
+
+    # Ensure output directory exists
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+
+    # Write description
+    output_path.write_text(description, encoding="utf-8")
+
+    return description

gnommo/errors.py

@@ -7,12 +7,14 @@ from typing import Optional
 
 class GnommoError(Exception):
     """Base exception for all GnommoEditor errors."""
+
     pass
 
 
 @dataclass
 class ValidationIssue:
     """A single validation issue with location context."""
+
     message: str
     file: Optional[Path] = None
     line: Optional[int] = None
@@ -30,7 +32,9 @@ class ValidationIssue:
 class ParseError(GnommoError):
     """Error during parsing of input files."""
 
-    def __init__(self, message: str, file: Optional[Path] = None, line: Optional[int] = None):
+    def __init__(
+        self, message: str, file: Optional[Path] = None, line: Optional[int] = None
+    ):
         self.issue = ValidationIssue(message, file, line)
         super().__init__(str(self.issue))
 
@@ -48,7 +52,9 @@ class ValidationError(GnommoError):
 class RenderError(GnommoError):
     """Error during rendering stage."""
 
-    def __init__(self, message: str, command: Optional[str] = None, stderr: Optional[str] = None):
+    def __init__(
+        self, message: str, command: Optional[str] = None, stderr: Optional[str] = None
+    ):
         self.command = command
         self.stderr = stderr
         full_message = message
@@ -62,7 +68,13 @@ class RenderError(GnommoError):
 class PreprocessError(GnommoError):
     """Error during preprocessing stage."""
 
-    def __init__(self, message: str, filter_type: Optional[str] = None, command: Optional[str] = None, stderr: Optional[str] = None):
+    def __init__(
+        self,
+        message: str,
+        filter_type: Optional[str] = None,
+        command: Optional[str] = None,
+        stderr: Optional[str] = None,
+    ):
         self.filter_type = filter_type
         self.command = command
         self.stderr = stderr

gnommo/extract_keynote_notes.js

@@ -0,0 +1,74 @@
+ObjC.import('stdlib');
+ObjC.import('Foundation');
+
+function toAbsolutePath(p) {
+  // Expand ~ and make absolute relative to current working directory
+  var s = $(String(p)).stringByExpandingTildeInPath;
+  if (!s.isAbsolutePath) {
+    var cwd = $.NSFileManager.defaultManager.currentDirectoryPath;
+    s = cwd.stringByAppendingPathComponent(s);
+  }
+  return s.stringByStandardizingPath.js;
+}
+
+function fileExists(p) {
+  return $.NSFileManager.defaultManager.fileExistsAtPath($(p));
+}
+
+function getNotes(slide) {
+  try { return slide.presenterNotes(); } catch (e) {}
+  try { return slide.speakerNotes(); } catch (e) {}
+  return "";
+}
+
+function run(argv) {
+  if (!argv || argv.length < 1) throw new Error("Usage: script.js <file.key> [slides_output_dir]");
+  var abs = toAbsolutePath(argv[0]);
+  var slidesDir = argv.length >= 2 ? toAbsolutePath(argv[1]) : null;
+
+  if (!fileExists(abs)) {
+    throw new Error("File not found: " + abs);
+  }
+
+  var Keynote = Application('Keynote');
+  Keynote.activate();
+
+  // Keynote is happiest when given a Path() made from an absolute POSIX path
+  var doc = Keynote.open(Path(abs));
+
+  // Export slides as PNG if output directory is provided
+  if (slidesDir) {
+    // Create directory if it doesn't exist
+    var fm = $.NSFileManager.defaultManager;
+    if (!fm.fileExistsAtPath($(slidesDir))) {
+      fm.createDirectoryAtPathWithIntermediateDirectoriesAttributesError(
+        $(slidesDir), true, $(), $()
+      );
+    }
+
+    // Export using AppleScript (more reliable than JXA for Keynote export)
+    var app = Application.currentApplication();
+    app.includeStandardAdditions = true;
+
+    // Build osascript command with proper escaping
+    // Using multiple -e flags to avoid quoting issues
+    var cmd = '/usr/bin/osascript' +
+      ' -e \'tell application "Keynote"\'' +
+      ' -e \'export front document to POSIX file "' + slidesDir + '" as slide images with properties {image format:PNG}\'' +
+      ' -e \'end tell\'';
+
+    app.doShellScript(cmd);
+  }
+
+  var slides = doc.slides();
+  var out = [];
+  for (var i = 0; i < slides.length; i++) {
+    out.push({
+      slide_index: i + 1,
+      notes: String(getNotes(slides[i]) || "")
+    });
+  }
+
+  doc.close({ saving: 'no' });
+  return JSON.stringify(out, null, 2);
+}

gnommo/extract_presenter_notes.py

@@ -0,0 +1,93 @@
+#!/usr/bin/env python3
+"""
+Extract presenter notes from a Keynote .key file.
+
+Usage:
+  python extract_keynote_notes.py path/to/deck.key --out notes.json
+
+Notes:
+- A .key file is a package (zip). The presenter notes live in an XML-ish file
+  typically called index.apxl inside the package.
+- This script tries to be robust across minor format changes by searching for
+  likely note fields.
+"""
+import json
+import os
+import subprocess
+import argparse
+import json
+import os
+import re
+import shutil
+import tempfile
+import zipfile
+from pathlib import Path
+
+from gnommo.parser import _read_json
+
+
+def write_manuscript(data: Path, out_path: Path):
+    data = _read_json(data.read_text(encoding="utf-8"))
+    lines = []
+    i = 0
+    for item in data:
+        print(f"Writing notes for slide {i} to file")
+        idx = item.get("slide_index")
+        notes = (item.get("notes") or "").rstrip()
+
+        lines.append(f"[S{idx}]")
+        lines.append(notes)
+        lines.append("")  # blank line between slides
+        i += 1
+
+    out_path.write_text("\n".join(lines).rstrip() + "\n", encoding="utf-8")
+    print(f"Wrote {out_path}")
+
+
+def main():
+    keynote_file = Path("video1/video1.key").expanduser().resolve()
+    if not keynote_file.exists():
+        raise FileNotFoundError(f"Keynote file not found: {keynote_file}")
+
+    script_file = Path("gnommo/extract_keynote_notes.js").expanduser().resolve()
+    if not script_file.exists():
+        raise FileNotFoundError(f"Extractor script not found: {script_file}")
+
+    presenter_notes_json_file = Path("video1/manuscript.json").expanduser().resolve()
+
+    # Run JXA extractor
+    proc = subprocess.run(
+        [
+            "osascript",
+            "-l",
+            "JavaScript",
+            str(script_file),
+            str(keynote_file),
+        ],
+        capture_output=True,
+        text=True,
+    )
+
+    if proc.returncode != 0:
+        raise RuntimeError(
+            "Failed to extract presenter notes:\n"
+            f"STDERR:\n{proc.stderr}\n"
+            f"STDOUT:\n{proc.stdout}"
+        )
+
+    # Write JSON output
+    presenter_notes_json_file.write_text(proc.stdout, encoding="utf-8")
+
+    if not presenter_notes_json_file.exists():
+        raise FileNotFoundError(
+            f"Failed to extract presenter notes to {presenter_notes_json_file}"
+        )
+
+    # Convert JSON → manuscript.txt
+    write_manuscript(
+        presenter_notes_json_file, out_path=keynote_file.parent / "manuscript.txt"
+    )
+
+
+if __name__ == "__main__":
+    main()

gnommo/handoff.py

@@ -0,0 +1,203 @@
+"""Hand off a finished video to the gnommoweb server.
+
+Works for any gnommo project type: parent videos and shorts alike.
+
+Usage:
+  gnommo handoff -p video1
+  gnommo handoff -p short_pixelated_universe
+  gnommo handoff -p video1 --file /path/to/render.mp4
+
+Reads project.json for the 'output_video' field (path relative to the
+project directory). Override with --file.
+
+On success:
+  - Uploads the video to MinIO via POST /api/projects/:handle/handoff
+  - For shorts: server auto-advances status to 'processed'
+  - Bumps video_version on every upload
+  - Updates .gnommo_sync.json with new video_version
+
+Configuration (from .env or environment):
+  GNOMMOWEB_URL      Base URL (e.g. http://localhost:3001)
+  GNOMMOWEB_API_KEY  Bearer token (CONTENT_API_KEY from gnommoweb)
+"""
+
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+try:
+    import requests
+except ImportError:
+    print(
+        "Error: 'requests' package is required. Run: pip install requests",
+        file=sys.stderr,
+    )
+    sys.exit(1)
+
+SYNC_FILE_LOCAL = ".gnommo_sync.json"
+SYNC_FILE_PROD = ".gnommo_sync.prod.json"
+
+
+def _sync_file(prod: bool) -> str:
+    return SYNC_FILE_PROD if prod else SYNC_FILE_LOCAL
+
+
+def _load_env_file():
+    env_path = Path(__file__).parent.parent / ".env"
+    if not env_path.exists():
+        return
+    with open(env_path) as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#") or "=" not in line:
+                continue
+            key, _, value = line.partition("=")
+            key = key.strip()
+            value = value.strip().strip('"').strip("'")
+            if key not in os.environ:
+                os.environ[key] = value
+
+
+def _read_sync(project_path: Path, prod: bool = False) -> dict:
+    sync_file = project_path / _sync_file(prod)
+    if sync_file.exists():
+        with open(sync_file) as f:
+            return json.load(f)
+    return {}
+
+
+def _write_sync(project_path: Path, data: dict, prod: bool = False):
+    with open(project_path / _sync_file(prod), "w") as f:
+        json.dump(data, f, indent=2)
+
+
+def cmd_handoff(
+    project_path: Path,
+    verbose: bool = False,
+    file_override: str | None = None,
+    prod: bool = False,
+    res: str = "full",
+) -> int:
+    _load_env_file()
+
+    if prod:
+        api_url = os.environ.get("GNOMMOWEB_PROD_URL", "").rstrip("/")
+        api_key = os.environ.get("GNOMMOWEB_PROD_API_KEY", "")
+        if not api_url:
+            print("Error: GNOMMOWEB_PROD_URL is not set.", file=sys.stderr)
+            return 1
+        if not api_key:
+            print("Error: GNOMMOWEB_PROD_API_KEY is not set.", file=sys.stderr)
+            return 1
+    else:
+        api_url = os.environ.get("GNOMMOWEB_URL", "").rstrip("/")
+        api_key = os.environ.get("GNOMMOWEB_API_KEY", "")
+        if not api_url:
+            print("Error: GNOMMOWEB_URL is not set.", file=sys.stderr)
+            return 1
+        if not api_key:
+            print("Error: GNOMMOWEB_API_KEY is not set.", file=sys.stderr)
+            return 1
+
+    if verbose:
+        target = "production" if prod else "local"
+        print(f"  → {target}: {api_url}")
+
+    project_file = project_path / "project.json"
+    if not project_file.exists():
+        print(f"Error: {project_file} not found", file=sys.stderr)
+        return 1
+
+    with open(project_file) as f:
+        project = json.load(f)
+
+    project_id = project.get("id")
+    if not project_id:
+        print("Error: project.json must have an 'id' field.", file=sys.stderr)
+        return 1
+
+    # ── Resolve video file ─────────────────────────────────────────────────────
+    if file_override:
+        video_path = Path(file_override)
+    else:
+        output_filename = (
+            project.get("output") or Path(project.get("output_video", "")).name
+        )
+        if not output_filename:
+            print(
+                "Error: no 'output' field in project.json and no --file provided.",
+                file=sys.stderr,
+            )
+            return 1
+        if res != "full":
+            video_path = project_path / "out" / res / output_filename
+        else:
+            video_path = project_path / "out" / output_filename
+
+    if not video_path.exists():
+        print(f"Error: video file not found: {video_path}", file=sys.stderr)
+        return 1
+
+    file_size_mb = video_path.stat().st_size / (1024 * 1024)
+    if verbose:
+        print(f"Handing off {project_id} → {api_url}")
+        print(f"  File: {video_path} ({file_size_mb:.1f} MB)")
+
+    # ── Upload ─────────────────────────────────────────────────────────────────
+    try:
+        with open(video_path, "rb") as vf:
+            r = requests.post(
+                f"{api_url}/api/projects/{project_id}/handoff",
+                files={"video": (video_path.name, vf, _mime_type(video_path))},
+                headers={"Authorization": f"Bearer {api_key}"},
+                timeout=None,  # large files may take a while
+            )
+    except requests.exceptions.ConnectionError:
+        print(f"✗ Could not connect to {api_url}")
+        return 1
+
+    if not r.ok:
+        try:
+            body = r.json()
+        except Exception:
+            body = r.text[:500]
+        print(f"✗ Server returned {r.status_code}: {body}")
+        return 1
+
+    result = r.json()
+    video_version = result.get("video_version", "?")
+    video_url = result.get("video_url", "")
+
+    # ── Write sync state ───────────────────────────────────────────────────────
+    now_iso = datetime.now(tz=timezone.utc).isoformat(timespec="seconds")
+    existing_sync = _read_sync(project_path, prod)
+    _write_sync(
+        project_path,
+        {
+            **existing_sync,
+            "last_handoff_at": now_iso,
+            "video_version": video_version,
+            "server_updated_at": result.get("asset", {}).get(
+                "updated_at", existing_sync.get("server_updated_at")
+            ),
+        },
+        prod,
+    )
+
+    print(f"✓ {project_id} → v{video_version} [processed]")
+    if video_url:
+        print(f"  {video_url}")
+
+    return 0
+
+
+def _mime_type(path: Path) -> str:
+    ext = path.suffix.lower()
+    return {
+        ".mp4": "video/mp4",
+        ".mov": "video/quicktime",
+        ".webm": "video/webm",
+        ".mkv": "video/x-matroska",
+    }.get(ext, "application/octet-stream")

gnommo/models.py

@@ -2,35 +2,78 @@
 
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Optional
+from typing import Optional, Union
 
 
 @dataclass
-class TalkingHeadConfig:
+class CutoutDefinition:
-    """Configuration for talking head video positioning."""
+    """Definition of a named zone for placing video content.
-    x: int
+
-    y: int
+    All positioning values support both pixels (int) and percentages (str like "50%").
-    target_height: int  # in pixels, or -1 for percentage-based
+    Percentage values are stored as floats (0.0-1.0) with pixel value set to -1.
-    target_height_percent: float = 0.0  # percentage (0.0-1.0) if target_height is -1
+
-    file: Optional[str] = None  # Path to video or metadata JSON file
+    Videos placed in cutouts are cropped to fit the cutout dimensions.
+    """
+
+    x: int  # in pixels, or -1 for percentage-based
+    y: int  # in pixels, or -1 for percentage-based
+    height: int  # in pixels, or -1 for percentage-based
+    width: int = (
+        -1
+    )  # in pixels, or -1 for percentage-based (defaults to height for square)
+    x_percent: float = 0.0  # percentage (0.0-1.0) if x is -1
+    y_percent: float = 0.0  # percentage (0.0-1.0) if y is -1
+    height_percent: float = 0.0  # percentage (0.0-1.0) if height is -1
+    width_percent: float = 0.0  # percentage (0.0-1.0) if width is -1
+
+
+# Backwards compatibility alias
+TalkingHeadConfig = CutoutDefinition
 
 
 @dataclass
 class ProjectConfig:
     """Global project configuration from project.json."""
+
     resolution: tuple[int, int]
     fps: int
-    talking_head: TalkingHeadConfig
     default_slide_type: str
+    cutouts: dict[str, CutoutDefinition] = field(
+        default_factory=dict
+    )  # Named zones for video placement
+    default_filters: dict[str, list[dict]] = field(
+        default_factory=dict
+    )  # Named filter presets that can be referenced in videos.json
     background: str = ""  # Background image or video path (in shared_assets/)
     background_video: str = ""  # Deprecated: use background instead
     slides_path: str = "slides.json"  # path to slides.json relative to project
+    videos_path: str = "videos.json"  # path to videos.json relative to project
+    audio_path: str = "audio.json"  # path to audio.json relative to project
     audio_source: Optional[str] = None  # defaults to talking head
+    main_video: Optional[
+        Union[str, list]
+    ] = None  # ID(s) of main video(s) - array for multi-segment narration
+    gnommo_scratch: Optional[
+        str
+    ] = None  # directory for intermediate files (e.g., external SSD)
+    default_begin: float = 0.0  # Trim this many seconds from the start of each segment (if no explicit begin/skip)
+    default_end_trim: float = 0.0  # Trim this many seconds from the end of each segment (if no explicit end/take)
+    # Outro sequence - plays after narration ends (not marker-triggered)
+    outro: list[str] = field(
+        default_factory=list
+    )  # List of video IDs to play in sequence after narration
+    # YouTube description fields
+    description: str = ""  # Video description text for YouTube
+    footer: str = ""  # Footer text (social links, subscribe CTA, etc.)
+    output_video: str = (
+        ""  # Output filename (e.g. "DISC_INT3.mp4"); placed in out/ or out/<res>/
+    )
 
 
 @dataclass
 class SlideDefinition:
     """Definition of a single slide from slides.json."""
+
     image: str
     type: str  # "fullscreen" | "square"
 
@@ -38,25 +81,226 @@ class SlideDefinition:
 @dataclass
 class ChromaKeyConfig:
     """Configuration for chroma key (green screen) filter."""
+
     color: tuple[int, int, int] = (0, 255, 0)  # RGB color to key out
-    similarity: float = 0.15  # Color similarity threshold (0.0-1.0)
+    similarity: float = (
-    blend: float = 0.1  # Edge blend/feathering (0.0-1.0)
+        0.4  # Color similarity threshold (0.0-1.0), higher = more aggressive
-    spill: float = 0.0  # Spill suppression amount (0.0-1.0)
+    )
+    blend: float = 0.08  # Edge blend/feathering (0.0-1.0), lower = tighter edges
+    spill: float = 0.1  # Spill suppression amount (0.0-1.0)
+    edge_erode: int = 0  # Pixels to erode from alpha edge (0-5), removes green fringe
+    # Color protection - restore opacity for colors that shouldn't be keyed
+    protect_color: tuple[int, int, int] = None  # RGB color to protect from keying
+    protect_tolerance: float = (
+        0.15  # How much variation from protect_color to allow (0-1)
+    )
+
+
+@dataclass
+class GnommoKeyConfig:
+    """Configuration for gnommokey filter - Keylight-style color-difference keyer.
+
+    Uses YCbCr color-difference keying (like Keylight/Ultimatte) instead of
+    simple Euclidean distance. This handles lighting variation much better
+    than basic chromakey.
+    """
+
+    # Screen color (the green/blue screen color to key out)
+    screen_color: tuple[int, int, int] = (0, 177, 64)  # RGB of the screen
+
+    # Key extraction strength (default 100, higher = more aggressive)
+    # Values 80-150 are typical. Maps to Keylight's Screen Gain.
+    screen_gain: float = 100.0
+
+    # Balance between chrominance and luminance in key calculation (0-100)
+    # 0 = pure color-difference, 100 = luminance weighted
+    # Maps to Keylight's Screen Balance.
+    screen_balance: float = 50.0
+
+    # Alpha/matte adjustments
+    clip_black: float = 0.0  # Crush blacks (0-100). Higher = more transparent areas
+    clip_white: float = 100.0  # Crush whites (0-100). Lower = more opaque areas
+
+    # Despill: color to shift green spill toward (RGB)
+    # Typical values: skin tone [217, 200, 180] or neutral [200, 200, 200]
+    despill_bias: tuple[int, int, int] = None
+
+    # How aggressively to apply despill (0-1)
+    despill_strength: float = 0.5
+
+    # Alpha bias: influences edge treatment (RGB)
+    # Can help with edge color contamination
+    alpha_bias: tuple[int, int, int] = None
+
+    # Edge refinement
+    edge_erode: int = 0  # Pixels to erode from alpha edge (0-5)
+    edge_soften: float = 0.0  # Blur the alpha edge (0-5 pixels)
+
+
+@dataclass
+class ColorGradeConfig:
+    """Configuration for color grading filter.
+
+    Applies color balance, contrast curves, and saturation adjustments
+    while preserving the alpha channel.
+    """
+
+    # Color balance (range: -1.0 to 1.0, 0 = no change)
+    # Midtones
+    rm: float = 0.0  # Red midtones adjustment
+    gm: float = 0.0  # Green midtones adjustment
+    bm: float = 0.0  # Blue midtones adjustment
+    # Highlights
+    rh: float = 0.0  # Red highlights adjustment
+    gh: float = 0.0  # Green highlights adjustment
+    bh: float = 0.0  # Blue highlights adjustment
+    # Shadows
+    rs: float = 0.0  # Red shadows adjustment
+    gs: float = 0.0  # Green shadows adjustment
+    bs: float = 0.0  # Blue shadows adjustment
+
+    # Curves preset (none, lighter, darker, increase_contrast, medium_contrast, etc.)
+    curves_preset: str = "none"
+
+    # EQ adjustments
+    contrast: float = 1.0  # Contrast multiplier (0.0-2.0, 1.0 = no change)
+    brightness: float = 0.0  # Brightness adjustment (-1.0 to 1.0, 0 = no change)
+    saturation: float = 1.0  # Saturation multiplier (0.0-3.0, 1.0 = no change)
+
+    # Custom curves for lift/gamma/gain control
+    # Format: "0/0 0.5/0.56 1/1" means (input/output) control points
+    curves_r: str = ""  # Red channel curve
+    curves_g: str = ""  # Green channel curve
+    curves_b: str = ""  # Blue channel curve
+    curves_master: str = ""  # Master (luminance) curve
+
+
+@dataclass
+class EQBand:
+    """A single parametric EQ band."""
+
+    freq: float  # Center frequency in Hz
+    gain: float  # Gain in dB (negative = cut, positive = boost)
+    q: float = 1.0  # Q factor (bandwidth), higher = narrower
+    type: str = "peak"  # "peak", "lowshelf", or "highshelf"
+
+
+@dataclass
+class AudioNormalizeConfig:
+    """Configuration for audio normalization filter.
+
+    Applies noise reduction, compression, and loudness normalization
+    to improve audio quality and consistency.
+    """
+
+    # Parametric EQ bands (applied before other processing)
+    eq_bands: list[EQBand] = field(default_factory=list)
+
+    # High-pass filter (remove room rumble)
+    highpass: float = (
+        0.0  # High-pass frequency in Hz (0 = disabled, try 80-120 for voice)
+    )
+
+    # Low-pass filter (remove harsh highs)
+    lowpass: float = (
+        0.0  # Low-pass frequency in Hz (0 = disabled, try 12000-16000 if needed)
+    )
+
+    # Room resonance EQ cut (reduce muddy room buildup)
+    room_eq: bool = False  # Enable room resonance cut
+    room_eq_freq: float = 300.0  # Center frequency for room cut (Hz, typically 200-400)
+    room_eq_gain: float = -4.0  # Gain in dB (negative = cut)
+    room_eq_width: float = 1.5  # Q/bandwidth (higher = narrower cut)
+
+    # Noise gate (reduce reverb tails during pauses)
+    gate: bool = False  # Enable noise gate
+    gate_threshold: float = -35.0  # Threshold in dB (signal below this gets attenuated)
+    gate_range: float = -20.0  # Attenuation amount in dB when gate is closed
+    gate_attack: float = 10.0  # Attack time in ms
+    gate_release: float = 150.0  # Release time in ms
+
+    # Neural de-reverb (arnndn filter - very effective but needs model file)
+    dereverb_model: str = ""  # Path to RNNoise model file (empty = disabled)
+    dereverb_mix: float = (
+        0.8  # Mix ratio 0.0-1.0 (1.0 = full effect, 0.8 = preserve some natural room)
+    )
+
+    # Noise reduction (afftdn filter)
+    denoise: bool = True  # Enable noise reduction
+    noise_floor: float = (
+        -25.0
+    )  # Noise floor in dB (default -25, lower = more aggressive)
+
+    # Compression (acompressor filter)
+    compress: bool = True  # Enable dynamic range compression
+    threshold: float = -20.0  # Compression threshold in dB
+    ratio: float = 4.0  # Compression ratio (4:1 default)
+    attack: float = 5.0  # Attack time in ms
+    release: float = 50.0  # Release time in ms
+    makeup: float = 2.0  # Makeup gain in dB
+
+    # Loudness normalization (loudnorm filter - EBU R128)
+    normalize: bool = True  # Enable loudness normalization
+    target_lufs: float = (
+        -16.0
+    )  # Target integrated loudness (YouTube recommends -14 to -16)
+    target_lra: float = 11.0  # Target loudness range
+    target_tp: float = -1.5  # Target true peak in dB
 
 
 @dataclass
 class FilterConfig:
     """Base configuration for a preprocessing filter."""
+
     type: str
     # Type-specific config stored in subclasses or as dict
 
 
+@dataclass
+class Attribution:
+    """Attribution information for stock footage (e.g., Pexels)."""
+
+    source: str  # Source platform (e.g., "pexels", "pixabay", "unsplash")
+    creator: str  # Creator/photographer name
+    url: Optional[str] = None  # URL to the original content
+
+
 @dataclass
 class VideoSource:
     """Video source definition from videos.json."""
-    file: str
+
-    preprocess: list[dict] = field(default_factory=list)  # List of filter config dicts
+    source_file: str  # Source video filename (relative to videos.json location or shared_assets/)
-    output_file: Optional[str] = None  # Path to preprocessed output (if any)
+    filter: list[dict] = field(default_factory=list)  # List of filter config dicts
+    output_file: Optional[
+        str
+    ] = None  # Path to preprocessed output (relative to videos.json)
+    take: Optional[
+        float
+    ] = None  # Max duration to play (seconds). Default: until next slide or end of clip
+    skip: float = 0.0  # Skip this many seconds at start of video (seek point)
+    zoom: float = (
+        1.0  # Scale factor for video (1.0 = fit to cutout height, >1 = enlarge)
+    )
+    cutout: Optional[
+        str
+    ] = None  # Name of cutout to place video in (from project.json cutouts)
+    always_visible: bool = False  # If True, video is always shown (like talking head)
+    is_shared: bool = False  # If True, source_file is relative to shared_assets/
+    pause_narration: float = (
+        0.0  # Seconds to pause narration during this video (0 = no pause)
+    )
+    attribution: Optional[Attribution] = None  # Attribution for stock footage
+    use_audio_channels: str = (
+        "both"  # Audio channel selection: "both", "left", or "right"
+    )
+    defer_loudnorm: bool = (
+        False  # If True, skip loudnorm during preprocessing (apply after concatenation)
+    )
+    volume: float = 1.0  # Volume multiplier (1.0=full, >1.0=boost, <1.0=reduce)
+    layer: str = "above"  # "above" = renders on top of slides; "below" = behind slides
+    duration: Optional[float] = None  # Pre-probed file duration in seconds (set by import)
+    has_audio: Optional[bool] = None  # Pre-detected audio presence (set by import)
+    end_on: Optional[str] = None  # When video event ends: "next_slide" | "end" | "take" (None = marker-type default)
 
 
 @dataclass
@@ -67,50 +311,215 @@ class VideoMetadata:
     This allows defining preprocessing steps separately from videos.json,
     enabling per-video preprocessing configuration.
     """
+
     source_file: str  # Original source video file
     preprocess: list[dict] = field(default_factory=list)  # Preprocessing filters
-    output: Optional[dict] = None  # Output config {"file": "...", "colorspace": "...", "alpha": "..."}
+    output: Optional[
-
+        dict
-
+    ] = None  # Output config {"file": "...", "colorspace": "...", "alpha": "..."}
-@dataclass
-class TimedWord:
-    """A word or marker with its timestamp from transcript.csv."""
-    time: float
-    word: str
-
-    @property
-    def is_marker(self) -> bool:
-        """Check if this is a slide marker like [S1]."""
-        return self.word.startswith("[") and self.word.endswith("]")
-
-    @property
-    def marker_id(self) -> Optional[str]:
-        """Extract marker ID (e.g., 'S1' from '[S1]')."""
-        if self.is_marker:
-            return self.word[1:-1]
-        return None
 
 
 @dataclass
 class SlideEvent:
     """A resolved slide event with timing information."""
+
     slide_id: str
     start_time: float
     end_time: float
     slide_def: SlideDefinition
 
 
+@dataclass
+class AudioDefinition:
+    """Definition of an audio clip from audio.json."""
+
+    file: str  # Audio filename (relative to audio.json location)
+    volume: float = 1.0  # Volume multiplier (0.0-1.0)
+    loop: bool = False  # If True, loop for entire duration from trigger point
+    overlap: Optional[float] = None  # Crossfade overlap in seconds when looping
+    ignore_pauses: bool = (
+        False  # If True, audio continues playing during narration pauses
+    )
+    duration: Optional[float] = None  # Pre-probed duration in seconds (set by import)
+
+
+@dataclass
+class Citation:
+    """A citation extracted from manuscript.txt [cite:...] markers."""
+
+    reference: str  # The literal reference text after cite:
+    marker_id: str  # The full marker (e.g., "cite:Smith et al...")
+    timestamp: float = -1.0  # Aligned timestamp (-1 if not aligned)
+    context: str = ""  # Text following the citation for alignment
+
+
+@dataclass
+class AudioEvent:
+    """A resolved audio event with timing information."""
+
+    audio_id: str
+    start_time: float  # When to start playing (marker time - offset)
+    audio_def: AudioDefinition
+
+
+@dataclass
+class VideoEvent:
+    """A resolved video event with timing information."""
+
+    video_id: str
+    start_time: float
+    end_time: float
+    video_source: "VideoSource"
+    cutout: "CutoutDefinition"
+    cutout_name: str = ""  # resolved cutout name (e.g. "fullscreen"), for display
+    layer: str = "above"  # "above" = on top of slides; "below" = behind slides
+
+
+@dataclass
+class CameraState:
+    """State of the virtual camera at a point in time.
+
+    The camera transforms the entire composed scene (background, slides, cutouts).
+    This ensures all elements stay spatially synchronized when zooming/tilting.
+    """
+
+    zoom: float = 1.0  # 1.0 = 100%, 1.25 = 125%, etc.
+    rotation: float = 0.0  # degrees, positive = clockwise
+    pan_x: float = 0.0  # -1.0 to 1.0, percentage of frame width
+    pan_y: float = 0.0  # -1.0 to 1.0, percentage of frame height
+    focal_x: float = 0.5  # 0.0 to 1.0, zoom focal point X (0.5 = center)
+    focal_y: float = 0.5  # 0.0 to 1.0, zoom focal point Y (0.5 = center)
+
+    def __post_init__(self):
+        # Clamp values to reasonable ranges
+        self.zoom = max(0.5, min(3.0, self.zoom))
+        self.rotation = max(-45.0, min(45.0, self.rotation))
+        self.pan_x = max(-1.0, min(1.0, self.pan_x))
+        self.pan_y = max(-1.0, min(1.0, self.pan_y))
+        self.focal_x = max(0.0, min(1.0, self.focal_x))
+        self.focal_y = max(0.0, min(1.0, self.focal_y))
+
+    def is_default(self) -> bool:
+        """Check if this is the default camera state (no transform)."""
+        return (
+            self.zoom == 1.0
+            and self.rotation == 0.0
+            and self.pan_x == 0.0
+            and self.pan_y == 0.0
+            and self.focal_x == 0.5
+            and self.focal_y == 0.5
+        )
+
+
+@dataclass
+class CameraEvent:
+    """A camera state change at a specific time.
+
+    Camera events can be instant (duration=0) or animated (duration>0).
+    When animated, the camera smoothly transitions from its current state
+    to the target state over the specified duration using the easing function.
+    """
+
+    time: float  # timestamp in seconds
+    target_state: CameraState
+    duration: float = 0.2  # transition duration (0 = instant snap)
+    easing: str = "ease-out"  # linear, ease-in, ease-out, ease-in-out
+
+
+# Camera effect presets - map marker names to camera states
+# Effect strengths are intentionally subtle for professional look
+CAMERA_PRESETS: dict[str, CameraState] = {
+    # Zoom levels (halved for subtlety)
+    "Zoom0": CameraState(zoom=1.0),
+    "Zoom1": CameraState(zoom=1.05),
+    "Zoom2": CameraState(zoom=1.125),
+    "Zoom3": CameraState(zoom=1.25),
+    # Tilt/rotation (halved)
+    "TiltLeft": CameraState(rotation=-7.5),
+    "TiltRight": CameraState(rotation=7.5),
+    "NoTilt": CameraState(),  # Full reset to default state
+    # Pan (halved)
+    "PanLeft": CameraState(pan_x=-0.1),
+    "PanRight": CameraState(pan_x=0.1),
+    "PanUp": CameraState(pan_y=-0.075),
+    "PanDown": CameraState(pan_y=0.075),
+    "PanCenter": CameraState(pan_x=0.0, pan_y=0.0),
+    # Reset all
+    "Reset": CameraState(),
+}
+
+
+@dataclass
+class NarrationPause:
+    """A pause in the narration timeline for an interstitial video."""
+
+    output_time: float  # When the pause starts in the OUTPUT timeline
+    narration_time: float  # Where we are in the NARRATION source when pause starts
+    duration: float  # How long the pause lasts
+    video_id: str  # The video that plays during the pause
+
+
+@dataclass
+class OutroEvent:
+    """A video that plays as part of the outro sequence (after narration ends)."""
+
+    video_id: str
+    start_time: float  # When this outro video starts (in output timeline)
+    end_time: float  # When this outro video ends
+    video_source: "VideoSource"
+    cutout: Optional["CutoutDefinition"] = None  # None = fullscreen
+
+
 @dataclass
 class RenderPlan:
     """Complete plan for rendering the final video."""
+
     project_path: Path
     config: ProjectConfig
-    talking_head: VideoSource
     slide_events: list[SlideEvent]
     total_duration: float
     slides: dict[str, SlideDefinition]
+    videos: dict[str, VideoSource] = field(default_factory=dict)
+    video_events: list[VideoEvent] = field(
+        default_factory=list
+    )  # Triggered video overlays
+    narration_videos: list[tuple[str, VideoSource, CutoutDefinition]] = field(
+        default_factory=list
+    )  # (video_id, source, cutout)
     slides_dir: Path = None  # directory containing slide images
-    talking_head_path: Path = None  # Resolved path to actual video file
+    videos_dir: Path = None  # directory containing videos.json and video files
+    audio_events: list[AudioEvent] = field(default_factory=list)
+    audio: dict[str, AudioDefinition] = field(default_factory=dict)
+    audio_dir: Path = None  # directory containing audio.json and audio files
+    camera_events: list[CameraEvent] = field(
+        default_factory=list
+    )  # Virtual camera keyframes
+    # Partial rendering support
+    time_offset: float = (
+        0.0  # Offset subtracted from all timestamps (for partial render)
+    )
+    initial_camera_state: "CameraState" = (
+        None  # Camera state at render start (for partial render)
+    )
+    input_seek_time: float = 0.0  # Seek position for input videos (for partial render)
+    # Shared assets support
+    shared_assets_dir: Path = None  # Directory containing shared assets (pexels, etc.)
+    # Narration pause support
+    narration_pauses: list[NarrationPause] = field(
+        default_factory=list
+    )  # Gaps in narration for interstitial videos
+    # Outro sequence (plays after narration ends)
+    outro_events: list["OutroEvent"] = field(
+        default_factory=list
+    )  # Videos that play after narration ends
+    narration_end_time: float = 0.0  # When narration ends (before outro starts)
+    # GnommoCache support
+    cached_files: set = field(
+        default_factory=set
+    )  # Video IDs loaded from external cache (show 📁 indicator)
+    output_path: Optional[
+        Path
+    ] = None  # Final output file path (set after plan is built)
 
 
 # Slide layout configurations (hardcoded for POC)

gnommo/parser.py

@@ -1,28 +1,42 @@
 """Extract stage: parse all input files."""
 
-import csv
 import json
 import re
 from pathlib import Path
 from typing import Any, Optional
 
+from .cache import resolve_with_cache
 from .errors import ParseError
 from .models import (
+    Attribution,
+    AudioDefinition,
+    Citation,
+    CutoutDefinition,
     ProjectConfig,
     SlideDefinition,
-    TalkingHeadConfig,
-    TimedWord,
     VideoMetadata,
     VideoSource,
 )
 
 
-def parse_manuscript(project_path: Path) -> tuple[str, list[str], list[tuple[int, str]]]:
+def _read_json(path: Path) -> Any:
+    """Read and parse a JSON file, treating an empty file as {}."""
+    text = path.read_text(encoding="utf-8").strip()
+    return json.loads(text) if text else {}
+
+
+def parse_manuscript(
+    project_path: Path,
+) -> tuple[str, list[str], list[tuple[int, str]], list[Citation]]:
     """
     Parse manuscript.txt and extract text content and slide markers.
 
+    Strips [cite:...] and [marker:...] markers from the returned text so they
+    never pollute alignment contexts. Citations are extracted and returned
+    separately. Marker cues are personal recording notes and are simply discarded.
+
     Returns:
-        Tuple of (full text, list of marker IDs found, list of malformed markers as (line_num, text))
+        Tuple of (full text, list of marker IDs found, list of malformed markers, list of citations)
     """
     manuscript_path = project_path / "manuscript.txt"
 
@@ -31,8 +45,19 @@ def parse_manuscript(project_path: Path) -> tuple[str, list[str], list[tuple[int
 
     text = manuscript_path.read_text(encoding="utf-8")
 
-    # Extract all valid slide markers like [S1], [S2], etc.
+    # Extract citations before stripping them
-    markers = re.findall(r"\[([A-Za-z0-9_]+)\]", text)
+    citations = parse_citations(text)
+
+    # Strip [cite:...] markers from text so they don't pollute alignment
+    text = re.sub(r"\[cite:[^\]]+\]", "", text)
+
+    # Strip [marker:...] and [cue:...] markers (personal recording cues, ignored by pipeline)
+    text = re.sub(r"\[marker:[^\]]+\]", "", text)
+    text = re.sub(r"\[cue:[^\]]+\]", "", text)
+
+    # Extract all valid markers like [S1], [video:demo], [Zoom2], etc.
+    # Include . in pattern to catch markers with file extensions (so validator can warn about them)
+    markers = re.findall(r"\[([A-Za-z0-9_:.]+)\]", text)
 
     # Find malformed markers (missing brackets, extra spaces, etc.)
     malformed: list[tuple[int, str]] = []
@@ -56,48 +81,72 @@ def parse_manuscript(project_path: Path) -> tuple[str, list[str], list[tuple[int
         for match in spaced:
             malformed.append((line_num, match))
 
-    return text, markers, malformed
+    return text, markers, malformed, citations
 
 
-def parse_transcript(project_path: Path) -> list[TimedWord]:
+def parse_citations(manuscript_text: str) -> list[Citation]:
     """
-    Parse transcript.csv into a list of timed words.
+    Extract all [cite:...] markers from manuscript text.
 
-    Expected format:
+    The text after 'cite:' is the literal reference that should appear
-        t,word
+    in the video description.
-        0.00,This
+
-        0.42,is
+    Returns:
-        ...
+        List of Citation objects with reference text and context for alignment.
     """
-    transcript_path = project_path / "transcript.csv"
+    citations = []
 
-    if not transcript_path.exists():
+    # Match [cite:...] markers - content can include any characters except ]
-        raise ParseError("transcript.csv not found", transcript_path)
+    # Use a more permissive pattern that handles multi-word citations
+    pattern = r"\[cite:([^\]]+)\]"
 
-    timed_words = []
+    for match in re.finditer(pattern, manuscript_text):
+        reference = match.group(1).strip()
+        marker_id = f"cite:{reference}"
 
-    with open(transcript_path, "r", encoding="utf-8") as f:
+        # Extract context: text following the citation (for alignment)
-        reader = csv.DictReader(f)
+        # Get up to 100 chars after the marker, stopping at next marker or newline
+        end_pos = match.end()
+        context_text = manuscript_text[end_pos : end_pos + 150]
 
-        if reader.fieldnames is None or "t" not in reader.fieldnames or "word" not in reader.fieldnames:
+        # Clean up context: take text until next marker or double newline
-            raise ParseError(
+        context_match = re.match(r"([^\[]*?)(?:\[|\n\n|$)", context_text)
-                "transcript.csv must have columns: t, word",
+        context = context_match.group(1).strip() if context_match else ""
-                transcript_path
+
+        # Truncate context to ~50 chars for display
+        if len(context) > 50:
+            context = context[:47] + "..."
+
+        citations.append(
+            Citation(
+                reference=reference,
+                marker_id=marker_id,
+                context=context,
             )
+        )
 
-        for line_num, row in enumerate(reader, start=2):  # start=2 because line 1 is header
+    return citations
-            try:
-                time = float(row["t"])
-                word = row["word"].strip()
-                timed_words.append(TimedWord(time=time, word=word))
-            except (ValueError, KeyError) as e:
-                raise ParseError(
-                    f"Invalid row: {e}",
-                    transcript_path,
-                    line_num
-                )
 
-    return timed_words
+
+def save_citations(citations: list[Citation], path: Path) -> None:
+    """Save citations to a JSON file."""
+    data = [{"reference": c.reference, "context": c.context} for c in citations]
+    path.write_text(json.dumps(data, indent=2), encoding="utf-8")
+
+
+def load_citations(path: Path) -> list[Citation]:
+    """Load citations from a JSON file."""
+    if not path.exists():
+        return []
+    data = _read_json(path)
+    return [
+        Citation(
+            reference=item["reference"],
+            marker_id=f"cite:{item['reference']}",
+            context=item.get("context", ""),
+        )
+        for item in data
+    ]
 
 
 def parse_project_config(project_path: Path) -> ProjectConfig:
@@ -108,35 +157,87 @@ def parse_project_config(project_path: Path) -> ProjectConfig:
         raise ParseError("project.json not found", config_path)
 
     try:
-        data = json.loads(config_path.read_text(encoding="utf-8"))
+        data = _read_json(config_path)
     except json.JSONDecodeError as e:
         raise ParseError(f"Invalid JSON: {e}", config_path)
 
-    # Parse talking head config
+    # Built-in cutouts — used by vft/vfb/vst/vsb marker shorthand.
-    th_data = data.get("talkinghead", {})
+    # Projects can override these by defining cutouts with the same names.
-    th_height, th_height_pct = _parse_dimension(th_data.get("targetheight", 200))
+    cutouts: dict[str, CutoutDefinition] = {
-    talking_head = TalkingHeadConfig(
+        # 100 % × 100 % at origin — for fullscreen video (vf* markers)
-        x=th_data.get("x", 100),
+        "fullscreen": CutoutDefinition(
-        y=th_data.get("y", 100),
+            x=-1,
-        target_height=th_height,
+            y=-1,
-        target_height_percent=th_height_pct,
+            height=-1,
-        file=th_data.get("file"),
+            width=-1,
-    )
+            x_percent=0.0,
+            y_percent=0.0,
+            height_percent=1.0,
+            width_percent=1.0,
+        ),
+        # 50 % height, square aspect, centred — for square video (vs* markers)
+        "square": CutoutDefinition(
+            x=-1,
+            y=-1,
+            height=-1,
+            width=-1,
+            x_percent=0.25,
+            y_percent=0.25,
+            height_percent=0.5,
+            width_percent=0.0,
+        ),
+    }
+
+    # Parse cutouts (named zones for video placement) — project definitions
+    # override the built-ins above.
+    cutouts_data = data.get("cutouts", {})
+    for cutout_name, cutout_data in cutouts_data.items():
+        x, x_pct = _parse_dimension(cutout_data.get("x", 0))
+        y, y_pct = _parse_dimension(cutout_data.get("y", 0))
+        height, height_pct = _parse_dimension(cutout_data.get("height", 200))
+        # Width defaults to same as height (square) if not specified
+        width, width_pct = _parse_dimension(
+            cutout_data.get("width", cutout_data.get("height", 200))
+        )
+        cutouts[cutout_name] = CutoutDefinition(
+            x=x,
+            y=y,
+            height=height,
+            width=width,
+            x_percent=x_pct,
+            y_percent=y_pct,
+            height_percent=height_pct,
+            width_percent=width_pct,
+        )
 
     # Parse resolution
     resolution = data.get("resolution", [1920, 1080])
     if not isinstance(resolution, list) or len(resolution) != 2:
         raise ParseError("resolution must be [width, height]", config_path)
 
+    # Parse default_filters (named filter presets)
+    default_filters: dict[str, list[dict]] = data.get("default_filters", {})
+
     return ProjectConfig(
         resolution=tuple(resolution),
         fps=data.get("fps", 30),
-        talking_head=talking_head,
         default_slide_type=data.get("defaultSlideType", "square"),
+        cutouts=cutouts,
+        default_filters=default_filters,
         background=data.get("background", ""),
         background_video=data.get("background_video", ""),  # Deprecated
         slides_path=data.get("slides", "slides.json"),
+        videos_path=data.get("videos", "videos.json"),
+        audio_path=data.get("audio", "audio.json"),
         audio_source=data.get("audio_source"),
+        main_video=data.get("main_video"),
+        gnommo_scratch=data.get("gnommo_scratch"),
+        default_begin=float(data.get("default_begin", 0.0)),
+        default_end_trim=float(data.get("default_end_trim", 0.0)),
+        outro=data.get("outro", []),
+        description=data.get("description", ""),
+        footer=data.get("footer", ""),
+        output_video=data.get("output_video", ""),
     )
 
 
@@ -157,18 +258,24 @@ def _parse_dimension(value: Any) -> tuple[int, float]:
     return 200, 0.0  # default
 
 
-def parse_slides(project_path: Path, config: ProjectConfig = None) -> dict[str, SlideDefinition]:
+def parse_slides(
+    project_path: Path, config: ProjectConfig = None
+) -> dict[str, SlideDefinition]:
     """Parse slides.json into slide definitions."""
     if config and config.slides_path:
-        slides_path = project_path / config.slides_path
+        local_slides_path = project_path / config.slides_path
     else:
-        slides_path = project_path / "slides.json"
+        local_slides_path = project_path / "slides.json"
 
+    # Try cache fallback for reading JSON
+    slides_path, _ = resolve_with_cache(local_slides_path, project_path)
     if not slides_path.exists():
-        raise ParseError(f"slides file not found: {slides_path}", slides_path)
+        raise ParseError(
+            f"slides file not found: {local_slides_path}", local_slides_path
+        )
 
     try:
-        data = json.loads(slides_path.read_text(encoding="utf-8"))
+        data = _read_json(slides_path)
     except json.JSONDecodeError as e:
         raise ParseError(f"Invalid JSON: {e}", slides_path)
 
@@ -176,8 +283,7 @@ def parse_slides(project_path: Path, config: ProjectConfig = None) -> dict[str,
     for slide_id, slide_data in data.items():
         if "image" not in slide_data:
             raise ParseError(
-                f"Slide '{slide_id}' missing required field 'image'",
+                f"Slide '{slide_id}' missing required field 'image'", slides_path
-                slides_path
             )
         slides[slide_id] = SlideDefinition(
             image=slide_data["image"],
@@ -187,32 +293,307 @@ def parse_slides(project_path: Path, config: ProjectConfig = None) -> dict[str,
     return slides
 
 
-def parse_videos(project_path: Path) -> dict[str, VideoSource]:
+def parse_audio(
-    """Parse videos.json into video source definitions."""
+    project_path: Path, config: Optional[ProjectConfig] = None
-    videos_path = project_path / "videos.json"
+) -> tuple[dict[str, AudioDefinition], Path]:
+    """
+    Parse audio.json into audio definitions.
 
-    if not videos_path.exists():
+    Returns:
-        raise ParseError("videos.json not found", videos_path)
+        Tuple of (audio dict, audio_dir) where audio_dir is the directory
+        containing audio.json (for resolving relative file paths).
+    """
+    if config and config.audio_path:
+        local_audio_path = project_path / config.audio_path
+    else:
+        local_audio_path = project_path / "audio.json"
+
+    # Keep local directory for file lookups (cache fallback handles resolution)
+    audio_dir = local_audio_path.parent
+
+    # Try cache fallback for reading JSON
+    audio_path, _ = resolve_with_cache(local_audio_path, project_path)
+
+    # Audio is optional - return empty dict if not found
+    if not audio_path.exists():
+        return {}, audio_dir
 
     try:
-        data = json.loads(videos_path.read_text(encoding="utf-8"))
+        data = _read_json(audio_path)
+    except json.JSONDecodeError as e:
+        raise ParseError(f"Invalid JSON: {e}", audio_path)
+
+    audio = {}
+    for audio_id, audio_data in data.items():
+        if "file" not in audio_data:
+            raise ParseError(
+                f"Audio '{audio_id}' missing required field 'file'", audio_path
+            )
+        # Parse overlap if specified (timestamp string like "10s")
+        overlap = None
+        if "overlap" in audio_data and audio_data["overlap"]:
+            overlap = parse_timestamp(audio_data["overlap"])
+
+        raw_duration = audio_data.get("duration")
+        audio[audio_id] = AudioDefinition(
+            file=audio_data["file"],
+            volume=float(audio_data.get("volume", 1.0)),
+            loop=bool(audio_data.get("loop", False)),
+            overlap=overlap,
+            ignore_pauses=bool(audio_data.get("ignore_pauses", False)),
+            duration=float(raw_duration) if raw_duration is not None else None,
+        )
+
+    return audio, audio_dir
+
+
+def parse_timestamp(value: str) -> float:
+    """
+    Parse a timestamp string into seconds.
+
+    Supported formats:
+    - "3.5s" or "3.5" → 3.5 seconds
+    - "2:54" → 2 minutes 54 seconds (174.0)
+    - "1:23:45" → 1 hour 23 minutes 45 seconds
+    - "2:54.5" → 2 minutes 54.5 seconds
+
+    Returns:
+        Time in seconds as a float.
+    """
+    if not value:
+        return 0.0
+
+    value = value.strip()
+
+    # Remove trailing 's' if present (e.g., "3.5s")
+    if value.endswith("s"):
+        value = value[:-1]
+
+    # Check for colon-separated format (MM:SS or HH:MM:SS)
+    if ":" in value:
+        parts = value.split(":")
+        if len(parts) == 2:
+            # MM:SS format
+            minutes, seconds = parts
+            return float(minutes) * 60 + float(seconds)
+        elif len(parts) == 3:
+            # HH:MM:SS format
+            hours, minutes, seconds = parts
+            return float(hours) * 3600 + float(minutes) * 60 + float(seconds)
+        else:
+            raise ParseError(f"Invalid timestamp format: {value}", None)
+
+    # Plain number (seconds)
+    return float(value)
+
+
+def parse_videos(
+    project_path: Path, config: Optional[ProjectConfig] = None
+) -> tuple[dict[str, VideoSource], Path]:
+    """
+    Parse videos.json into video source definitions.
+
+    Filter can be specified as:
+    - A list of filter configs (inline definition)
+    - A string referencing a named preset in config.default_filters
+
+    Trim points can be specified as:
+    - skip/take: raw values in seconds (traditional)
+    - begin/end: timestamp strings like "3.5s", "2:54", "1:23:45" (user-friendly)
+      These are converted to skip/take internally.
+
+    Returns:
+        Tuple of (videos dict, videos_dir) where videos_dir is the directory
+        containing videos.json (for resolving relative file paths).
+    """
+    if config and config.videos_path:
+        local_videos_path = project_path / config.videos_path
+    else:
+        local_videos_path = project_path / "videos.json"
+
+    # Keep local directory for file lookups (cache fallback handles resolution)
+    videos_dir = local_videos_path.parent
+
+    # Try cache fallback for reading JSON
+    videos_path, _ = resolve_with_cache(local_videos_path, project_path)
+    if not videos_path.exists():
+        raise ParseError(
+            f"videos.json not found: {local_videos_path}", local_videos_path
+        )
+
+    try:
+        data = _read_json(videos_path)
     except json.JSONDecodeError as e:
         raise ParseError(f"Invalid JSON: {e}", videos_path)
 
+    # Get default_filters from config for resolving references
+    default_filters = config.default_filters if config else {}
+
     videos = {}
     for video_id, video_data in data.items():
-        if "file" not in video_data:
+        if "source_file" not in video_data:
             raise ParseError(
-                f"Video '{video_id}' missing required field 'file'",
+                f"Video '{video_id}' missing required field 'source_file'", videos_path
-                videos_path
             )
+
+        # Parse attribution if present
+        attribution = None
+        if "attribution" in video_data:
+            attr_data = video_data["attribution"]
+            attribution = Attribution(
+                source=attr_data.get("source", "unknown"),
+                creator=attr_data.get("creator", "Unknown"),
+                url=attr_data.get("url"),
+            )
+
+        # Resolve filter - can be a list or a string reference to default_filters
+        filter_value = video_data.get("filter", [])
+        if isinstance(filter_value, str):
+            # It's a reference to a named filter preset
+            if filter_value not in default_filters:
+                raise ParseError(
+                    f"Video '{video_id}' references unknown filter preset '{filter_value}'. "
+                    f"Available presets: {list(default_filters.keys())}",
+                    videos_path,
+                )
+            filter_list = default_filters[filter_value]
+        else:
+            # It's an inline filter definition
+            filter_list = filter_value
+
+        # Handle skip/take - can use begin/end as user-friendly alternatives
+        skip = video_data.get("skip", 0.0)
+        take = video_data.get("take")
+
+        # Convert begin/end to skip/take if provided
+        if "begin" in video_data and video_data["begin"]:
+            skip = parse_timestamp(video_data["begin"])
+        if "end" in video_data and video_data["end"]:
+            end_time = parse_timestamp(video_data["end"])
+            # take = end - begin (duration from begin to end)
+            take = end_time - skip
+
+        raw_duration = video_data.get("duration")
+        raw_has_audio = video_data.get("has_audio")
         videos[video_id] = VideoSource(
-            file=video_data["file"],
+            source_file=video_data["source_file"],
-            preprocess=video_data.get("preprocess", []),
+            filter=filter_list,
             output_file=video_data.get("output_file"),
+            take=take,
+            skip=skip,
+            zoom=video_data.get("zoom", 1.0),
+            cutout=video_data.get("cutout"),
+            always_visible=video_data.get("always_visible", False),
+            is_shared=video_data.get("is_shared", False),
+            pause_narration=float(video_data.get("pause_narration", 0)),
+            attribution=attribution,
+            use_audio_channels=video_data.get("use_audio_channels", "both"),
+            defer_loudnorm=video_data.get("defer_loudnorm", False),
+            volume=float(video_data.get("volume", 1.0)),
+            layer=video_data.get("layer", "above"),
+            duration=float(raw_duration) if raw_duration is not None else None,
+            has_audio=bool(raw_has_audio) if raw_has_audio is not None else None,
+            end_on=video_data.get("end_on"),
         )
 
-    return videos
+    return videos, videos_dir
+
+
+def parse_narration(
+    project_path: Path, config: Optional[ProjectConfig] = None
+) -> tuple[dict[str, VideoSource], Path]:
+    """
+    Parse narration.json into narration segment definitions.
+
+    Narration segments are stored in media/narration/ and are processed
+    separately from videos. Each segment can have filters, begin/end trim
+    points, and other properties similar to videos.
+
+    Filter can be specified as:
+    - A list of filter configs (inline definition)
+    - A string referencing a named preset in config.default_filters
+
+    Trim points can be specified as:
+    - skip/take: raw values in seconds (traditional)
+    - begin/end: timestamp strings like "3.5s", "2:54", "1:23:45" (user-friendly)
+      These are converted to skip/take internally.
+
+    Returns:
+        Tuple of (narration dict, narration_dir) where narration_dir is the directory
+        containing narration.json (for resolving relative file paths).
+    """
+    # Narration is always in media/narration/
+    # Keep local directory for file lookups (cache fallback handles resolution)
+    narration_dir = project_path / "media" / "narration"
+    local_narration_path = narration_dir / "narration.json"
+
+    # Try cache fallback for reading JSON
+    narration_path, _ = resolve_with_cache(local_narration_path, project_path)
+
+    # Narration is optional - return empty dict if not found
+    if not narration_path.exists():
+        return {}, narration_dir
+
+    try:
+        data = _read_json(narration_path)
+    except json.JSONDecodeError as e:
+        raise ParseError(f"Invalid JSON: {e}", narration_path)
+
+    # Get default_filters from config for resolving references
+    default_filters = config.default_filters if config else {}
+
+    narration = {}
+    for segment_id, segment_data in data.items():
+        if "source_file" not in segment_data:
+            raise ParseError(
+                f"Narration segment '{segment_id}' missing required field 'source_file'",
+                narration_path,
+            )
+
+        # Resolve filter - can be a list or a string reference to default_filters
+        filter_value = segment_data.get("filter", [])
+        if isinstance(filter_value, str):
+            # It's a reference to a named filter preset
+            if filter_value not in default_filters:
+                raise ParseError(
+                    f"Narration segment '{segment_id}' references unknown filter preset '{filter_value}'. "
+                    f"Available presets: {list(default_filters.keys())}",
+                    narration_path,
+                )
+            filter_list = default_filters[filter_value]
+        else:
+            # It's an inline filter definition
+            filter_list = filter_value
+
+        # Handle skip/take - can use begin/end as user-friendly alternatives
+        # Fall back to project-level defaults if no explicit value is set
+        default_begin = config.default_begin if config else 0.0
+        skip = segment_data.get("skip", default_begin)
+        take = segment_data.get("take")
+
+        # Explicit begin/end always override defaults
+        if "begin" in segment_data and segment_data["begin"]:
+            skip = parse_timestamp(segment_data["begin"])
+        if "end" in segment_data and segment_data["end"]:
+            end_time = parse_timestamp(segment_data["end"])
+            # take = end - begin (duration from begin to end)
+            take = end_time - skip
+
+        narration[segment_id] = VideoSource(
+            source_file=segment_data["source_file"],
+            filter=filter_list,
+            output_file=segment_data.get("output_file"),
+            take=take,
+            skip=skip,
+            zoom=segment_data.get("zoom", 1.0),
+            cutout=segment_data.get("cutout"),
+            always_visible=segment_data.get("always_visible", False),
+            use_audio_channels=segment_data.get("use_audio_channels", "both"),
+            defer_loudnorm=segment_data.get("defer_loudnorm", False),
+            volume=float(segment_data.get("volume", 1.0)),
+        )
+
+    return narration, narration_dir
 
 
 def get_video_duration(video_path: Path) -> float:
@@ -221,10 +602,13 @@ def get_video_duration(video_path: Path) -> float:
 
     cmd = [
         "ffprobe",
-        "-v", "error",
+        "-v",
-        "-show_entries", "format=duration",
+        "error",
-        "-of", "default=noprint_wrappers=1:nokey=1",
+        "-show_entries",
-        str(video_path)
+        "format=duration",
+        "-of",
+        "default=noprint_wrappers=1:nokey=1",
+        str(video_path),
     ]
 
     result = subprocess.run(cmd, capture_output=True, text=True)
@@ -256,12 +640,14 @@ def parse_video_metadata(metadata_path: Path) -> VideoMetadata:
         raise ParseError(f"Video metadata not found: {metadata_path}", metadata_path)
 
     try:
-        data = json.loads(metadata_path.read_text(encoding="utf-8"))
+        data = _read_json(metadata_path)
     except json.JSONDecodeError as e:
         raise ParseError(f"Invalid JSON: {e}", metadata_path)
 
     if "source_file" not in data:
-        raise ParseError("Video metadata missing required field 'source_file'", metadata_path)
+        raise ParseError(
+            "Video metadata missing required field 'source_file'", metadata_path
+        )
 
     return VideoMetadata(
         source_file=data["source_file"],
@@ -270,7 +656,9 @@ def parse_video_metadata(metadata_path: Path) -> VideoMetadata:
     )
 
 
-def resolve_video_file(project_path: Path, file_ref: str) -> tuple[Path, Optional[VideoMetadata]]:
+def resolve_video_file(
+    project_path: Path, file_ref: str
+) -> tuple[Path, Optional[VideoMetadata]]:
     """
     Resolve a video file reference, which can be either:
     1. A direct path to a video file

gnommo/pull.py

@@ -0,0 +1,233 @@
+"""Pull project metadata from gnommoweb server.
+
+Usage:
+  gnommo pull -p video1                    # pull parent video project
+  gnommo pull -p short_pixelated_universe  # pull a short project
+  gnommo pull -p myproject --force         # force pull, overwrite local
+
+For a parent project: updates name, description, and the shorts index
+(list of slugs) in project.json.
+
+For a short project: updates title, hook, platform_targets, resolution,
+fps, duration_seconds. Preserves local script path reference.
+
+Conflict detection:
+  - If local project.json mtime > last_pushed_at → local has unpushed changes
+    → warn and abort unless --force
+
+Configuration (from .env or environment):
+  GNOMMOWEB_URL      Base URL (e.g. http://localhost:3001)
+  GNOMMOWEB_API_KEY  Bearer token (CONTENT_API_KEY)
+"""
+
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+try:
+    import requests
+except ImportError:
+    print(
+        "Error: 'requests' package is required. Run: pip install requests",
+        file=sys.stderr,
+    )
+    sys.exit(1)
+
+SYNC_FILE_LOCAL = ".gnommo_sync.json"
+SYNC_FILE_PROD = ".gnommo_sync.prod.json"
+
+
+def _sync_file(prod: bool) -> str:
+    return SYNC_FILE_PROD if prod else SYNC_FILE_LOCAL
+
+
+def _load_env_file():
+    env_path = Path(__file__).parent.parent / ".env"
+    if not env_path.exists():
+        return
+    with open(env_path) as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#") or "=" not in line:
+                continue
+            key, _, value = line.partition("=")
+            key = key.strip()
+            value = value.strip().strip('"').strip("'")
+            if key not in os.environ:
+                os.environ[key] = value
+
+
+def _read_sync(project_path: Path, prod: bool = False) -> dict:
+    sync_file = project_path / _sync_file(prod)
+    if sync_file.exists():
+        with open(sync_file) as f:
+            return json.load(f)
+    return {}
+
+
+def _write_sync(project_path: Path, data: dict, prod: bool = False):
+    with open(project_path / _sync_file(prod), "w") as f:
+        json.dump(data, f, indent=2)
+
+
+def _parse_ts(ts_str) -> datetime | None:
+    if not ts_str:
+        return None
+    try:
+        return datetime.fromisoformat(ts_str.replace("Z", "+00:00"))
+    except ValueError:
+        return None
+
+
+def cmd_pull(
+    project_path: Path, verbose: bool = False, force: bool = False, prod: bool = False
+) -> int:
+    _load_env_file()
+
+    if prod:
+        api_url = os.environ.get("GNOMMOWEB_PROD_URL", "").rstrip("/")
+        api_key = os.environ.get("GNOMMOWEB_PROD_API_KEY", "")
+        if not api_url:
+            print("Error: GNOMMOWEB_PROD_URL is not set.", file=sys.stderr)
+            return 1
+        if not api_key:
+            print("Error: GNOMMOWEB_PROD_API_KEY is not set.", file=sys.stderr)
+            return 1
+    else:
+        api_url = os.environ.get("GNOMMOWEB_URL", "").rstrip("/")
+        api_key = os.environ.get("GNOMMOWEB_API_KEY", "")
+        if not api_url:
+            print("Error: GNOMMOWEB_URL is not set.", file=sys.stderr)
+            return 1
+        if not api_key:
+            print("Error: GNOMMOWEB_API_KEY is not set.", file=sys.stderr)
+            return 1
+
+    if verbose:
+        target = "production" if prod else "local"
+        print(f"  → {target}: {api_url}")
+
+    project_file = project_path / "project.json"
+    if not project_file.exists():
+        print(f"Error: {project_file} not found", file=sys.stderr)
+        return 1
+
+    with open(project_file) as f:
+        local_project = json.load(f)
+
+    project_id = local_project.get("id")
+    if not project_id:
+        print("Error: project.json missing 'id'.", file=sys.stderr)
+        return 1
+
+    # ── Conflict check ────────────────────────────────────────────────────────
+    if not force:
+        sync = _read_sync(project_path, prod)
+        last_pushed_at = _parse_ts(sync.get("last_pushed_at"))
+        local_mtime = datetime.fromtimestamp(
+            project_file.stat().st_mtime, tz=timezone.utc
+        )
+        if last_pushed_at and local_mtime > last_pushed_at:
+            print(
+                f"⚠  project.json has local changes since last push "
+                f"({local_mtime.strftime('%Y-%m-%d %H:%M')} > "
+                f"{last_pushed_at.strftime('%Y-%m-%d %H:%M')}).",
+                file=sys.stderr,
+            )
+            print(
+                "   Push first with `gnommo push -p` or use `gnommo pull -p --force`.",
+                file=sys.stderr,
+            )
+            return 1
+
+    # ── Fetch from server ─────────────────────────────────────────────────────
+    if verbose:
+        print(f"Pulling {project_id} from {api_url}…")
+
+    try:
+        r = requests.get(
+            f"{api_url}/api/projects/{project_id}",
+            headers={"Authorization": f"Bearer {api_key}"},
+            timeout=30,
+        )
+    except requests.exceptions.ConnectionError:
+        print(f"✗ Could not connect to {api_url}")
+        return 1
+
+    if not r.ok:
+        if r.status_code == 404:
+            print(f"✗ Project '{project_id}' not found on server. Push it first.")
+        else:
+            try:
+                body = r.json()
+            except Exception:
+                body = r.text[:500]
+            print(f"✗ Server returned {r.status_code}: {body}")
+        return 1
+
+    server = r.json()
+    server_updated_at = server.get("updated_at")
+    project_type = server.get("type")
+
+    # ── Merge into project.json ───────────────────────────────────────────────
+    if project_type == "parent":
+        _merge_parent(local_project, server, verbose)
+        count = len(server.get("shorts", []))
+        print(f"✓ Pulled {project_id} (parent video) — {count} short(s) in index")
+    elif project_type == "short":
+        _merge_short(local_project, server, verbose)
+        print(f"✓ Pulled {project_id} (short) — [{server.get('status')}]")
+    else:
+        print(f"Error: unexpected project type: {project_type}", file=sys.stderr)
+        return 1
+
+    # ── Write back ────────────────────────────────────────────────────────────
+    with open(project_file, "w") as f:
+        json.dump(local_project, f, indent=2, ensure_ascii=False)
+        f.write("\n")
+
+    now_iso = datetime.now(tz=timezone.utc).isoformat(timespec="seconds")
+    existing_sync = _read_sync(project_path, prod)
+    _write_sync(
+        project_path,
+        {
+            **existing_sync,
+            "last_pulled_at": now_iso,
+            "server_updated_at": server_updated_at,
+            "last_pushed_at": existing_sync.get("last_pushed_at"),
+        },
+        prod,
+    )
+
+    return 0
+
+
+def _merge_parent(local: dict, server: dict, verbose: bool):
+    """Update parent project.json: name, description, shorts index (slugs)."""
+    local["name"] = server.get("title", local.get("name"))
+    local["description"] = server.get("description") or local.get("description")
+    # shorts is a list of slugs — update from server's shorts list
+    server_shorts = server.get("shorts", [])
+    local["shorts"] = [s["project_id"] for s in server_shorts]
+    if verbose:
+        print(f"  shorts index: {local['shorts']}")
+
+
+def _merge_short(local: dict, server: dict, verbose: bool):
+    """Update short project.json: name, hook, platform_targets, resolution, fps, duration."""
+    local["name"] = server.get("title", local.get("name"))
+    if server.get("hook"):
+        local["hook"] = server["hook"]
+    if server.get("platform_targets"):
+        local["platform_targets"] = server["platform_targets"]
+    if server.get("resolution"):
+        local["resolution"] = server["resolution"]
+    if server.get("fps"):
+        local["fps"] = server["fps"]
+    if server.get("duration_seconds"):
+        local["duration_seconds"] = server["duration_seconds"]
+    if server.get("parent_project_id"):
+        local["parent_project"] = server["parent_project_id"]
+    # Never overwrite local script path — that stays local

gnommo/push.py

@@ -0,0 +1,264 @@
+"""Push project metadata to gnommoweb server.
+
+Usage:
+  gnommo push -p video1                    # push parent video project
+  gnommo push -p short_pixelated_universe  # push a short project
+  gnommo push -p myproject --force         # force push, overwrite server
+
+Reads project.json and POSTs to POST /api/projects/push.
+
+If project.json contains a "parent_project" field, the project is pushed
+as a short and registered under that parent. Otherwise it is pushed as a
+parent video project.
+
+Parent project.json "shorts" field is a list of slugs (just an index):
+  "shorts": ["short_pixelated_universe", "short_planck_length"]
+
+Short project.json has its own full config plus a parent_project field:
+  {
+    "id": "short_pixelated_universe",
+    "parent_project": "Video1",
+    "resolution": [1080, 1920],
+    "fps": 30,
+    "duration_seconds": 60,
+    ...
+  }
+
+Conflict detection:
+  - If server.updated_at > our recorded server_updated_at → server has newer changes
+    → warn and abort unless --force
+
+Configuration (from .env or environment):
+  GNOMMOWEB_URL      Base URL (e.g. http://localhost:3001)
+  GNOMMOWEB_API_KEY  Bearer token (CONTENT_API_KEY from gnommoweb)
+"""
+
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+try:
+    import requests
+except ImportError:
+    print(
+        "Error: 'requests' package is required. Run: pip install requests",
+        file=sys.stderr,
+    )
+    sys.exit(1)
+
+SYNC_FILE_LOCAL = ".gnommo_sync.json"
+SYNC_FILE_PROD = ".gnommo_sync.prod.json"
+
+
+def _sync_file(prod: bool) -> str:
+    return SYNC_FILE_PROD if prod else SYNC_FILE_LOCAL
+
+
+def _load_env_file():
+    env_path = Path(__file__).parent.parent / ".env"
+    if not env_path.exists():
+        return
+    with open(env_path) as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#") or "=" not in line:
+                continue
+            key, _, value = line.partition("=")
+            key = key.strip()
+            value = value.strip().strip('"').strip("'")
+            if key not in os.environ:
+                os.environ[key] = value
+
+
+def _read_sync(project_path: Path, prod: bool = False) -> dict:
+    sync_file = project_path / _sync_file(prod)
+    if sync_file.exists():
+        with open(sync_file) as f:
+            return json.load(f)
+    return {}
+
+
+def _write_sync(project_path: Path, data: dict, prod: bool = False):
+    with open(project_path / _sync_file(prod), "w") as f:
+        json.dump(data, f, indent=2)
+
+
+def _parse_ts(ts_str) -> datetime | None:
+    if not ts_str:
+        return None
+    try:
+        return datetime.fromisoformat(ts_str.replace("Z", "+00:00"))
+    except ValueError:
+        return None
+
+
+def cmd_push(
+    project_path: Path, verbose: bool = False, force: bool = False, prod: bool = False
+) -> int:
+    _load_env_file()
+
+    if prod:
+        api_url = os.environ.get("GNOMMOWEB_PROD_URL", "").rstrip("/")
+        api_key = os.environ.get("GNOMMOWEB_PROD_API_KEY", "")
+        if not api_url:
+            print("Error: GNOMMOWEB_PROD_URL is not set.", file=sys.stderr)
+            return 1
+        if not api_key:
+            print("Error: GNOMMOWEB_PROD_API_KEY is not set.", file=sys.stderr)
+            return 1
+    else:
+        api_url = os.environ.get("GNOMMOWEB_URL", "").rstrip("/")
+        api_key = os.environ.get("GNOMMOWEB_API_KEY", "")
+        if not api_url:
+            print("Error: GNOMMOWEB_URL is not set.", file=sys.stderr)
+            return 1
+        if not api_key:
+            print("Error: GNOMMOWEB_API_KEY is not set.", file=sys.stderr)
+            return 1
+
+    if verbose:
+        target = "production" if prod else "local"
+        print(f"  → {target}: {api_url}")
+
+    project_file = project_path / "project.json"
+    if not project_file.exists():
+        print(f"Error: {project_file} not found", file=sys.stderr)
+        return 1
+
+    with open(project_file) as f:
+        project = json.load(f)
+
+    project_id = project.get("id")
+    name = project.get("name")
+    if not project_id or not name:
+        print("Error: project.json must have 'id' and 'name' fields.", file=sys.stderr)
+        return 1
+
+    parent_project = project.get("parent_project")
+
+    # ── Build payload ─────────────────────────────────────────────────────────
+    if parent_project:
+        payload = _build_short_payload(project, project_path, verbose)
+    else:
+        payload = _build_parent_payload(project, project_path, verbose)
+
+    if verbose:
+        kind = "short" if parent_project else "parent video"
+        print(f"Pushing {project_id} ({kind}) to {api_url}")
+
+    # ── POST ──────────────────────────────────────────────────────────────────
+    try:
+        r = requests.post(
+            f"{api_url}/api/projects/push",
+            json=payload,
+            headers={"Authorization": f"Bearer {api_key}"},
+            timeout=30,
+        )
+    except requests.exceptions.ConnectionError:
+        print(f"✗ Could not connect to {api_url}")
+        return 1
+
+    if not r.ok:
+        try:
+            body = r.json()
+        except Exception:
+            body = r.text[:500]
+        print(f"✗ Server returned {r.status_code}: {body}")
+        return 1
+
+    result = r.json()
+    server_updated_at = result.get("server_updated_at")
+
+    # ── Write sync state ──────────────────────────────────────────────────────
+    now_iso = datetime.now(tz=timezone.utc).isoformat(timespec="seconds")
+    existing_sync = _read_sync(project_path, prod)
+    _write_sync(
+        project_path,
+        {
+            **existing_sync,
+            "last_pushed_at": now_iso,
+            "server_updated_at": server_updated_at,
+        },
+        prod,
+    )
+
+    # ── Print summary ─────────────────────────────────────────────────────────
+    asset = result.get("asset", {})
+    if result.get("type") == "short":
+        print(f"✓ {project_id} → gn_asset #{asset.get('id')} [{asset.get('status')}]")
+        if result.get("task_created"):
+            print(f"  task #{result['task_id']} created")
+    else:
+        print(f"✓ {project_id} → gn_asset #{asset.get('id')} ({asset.get('name')})")
+        if verbose:
+            script_len = len(asset.get("script") or "")
+            print(
+                f"  server.script: {script_len} chars | fps={asset.get('fps')} res={asset.get('resolution')}"
+            )
+
+    return 0
+
+
+def _build_parent_payload(project: dict, project_path: Path, verbose: bool) -> dict:
+    # Read the manuscript file if one is specified
+    script_content = None
+    manuscript_str = project.get("manuscript")
+    if manuscript_str:
+        manuscript_path = project_path / manuscript_str
+        if manuscript_path.exists():
+            try:
+                script_content = manuscript_path.read_text(encoding="utf-8")
+            except UnicodeDecodeError:
+                script_content = manuscript_path.read_text(encoding="latin-1")
+                print(f"  Warning: manuscript is not UTF-8, read as latin-1")
+            print(f"  manuscript: {len(script_content)} chars")
+        else:
+            print(f"  Warning: manuscript not found: {manuscript_path}")
+    else:
+        if verbose:
+            print(f"  no manuscript field in project.json")
+
+    return {
+        "project_id": project["id"],
+        "name": project["name"],
+        "description": project.get("description"),
+        "coursecode": project.get("coursecode"),
+        "script_content": script_content,
+        "resolution": project.get("resolution"),
+        "fps": project.get("fps"),
+        "duration_seconds": project.get("duration_seconds"),
+        "hook": project.get("hook"),
+        "platform_targets": project.get("platform_targets"),
+        "status": project.get("status"),
+        "youtube_url": project.get("youtube_url"),
+        "shorts": project.get("shorts", []),
+    }
+
+
+def _build_short_payload(project: dict, project_path: Path, verbose: bool) -> dict:
+    # Read the script file if one is specified
+    script_content = None
+    script_path_str = project.get("script")
+    if script_path_str:
+        script_path = project_path / script_path_str
+        if script_path.exists():
+            script_content = script_path.read_text()
+            if verbose:
+                print(f"  Read script: {script_path} ({len(script_content)} chars)")
+        else:
+            print(f"  Warning: script file not found: {script_path}", file=sys.stderr)
+
+    return {
+        "project_id": project["id"],
+        "name": project["name"],
+        "description": project.get("description"),
+        "parent_project": project["parent_project"],
+        "hook": project.get("hook"),
+        "script_content": script_content,
+        "platform_targets": project.get("platform_targets", ["youtube"]),
+        "resolution": project.get("resolution"),
+        "fps": project.get("fps"),
+        "duration_seconds": project.get("duration_seconds"),
+    }

gnommo/transcriber.py

@@ -5,12 +5,15 @@ import subprocess
 from dataclasses import dataclass
 from pathlib import Path
 
+from .cache import resolve_with_cache
 from .errors import GnommoError
+from typing import Optional
 
 
 @dataclass
 class TranscribedWord:
     """A word with its timestamp from transcription."""
+
     word: str
     start: float
     end: float
@@ -18,6 +21,7 @@ class TranscribedWord:
 
 class TranscriptionError(GnommoError):
     """Error during transcription."""
+
     pass
 
 
@@ -57,28 +61,38 @@ def transcribe_video(video_path: Path, model: str = "base") -> list[TranscribedW
 
     for segment in result.get("segments", []):
         for word_info in segment.get("words", []):
-            words.append(TranscribedWord(
+            words.append(
-                word=word_info["word"].strip(),
+                TranscribedWord(
-                start=word_info["start"],
+                    word=word_info["word"].strip(),
-                end=word_info["end"],
+                    start=word_info["start"],
-            ))
+                    end=word_info["end"],
+                )
+            )
 
     return words
 
 
 def save_transcript(words: list[TranscribedWord], output_path: Path) -> None:
     """Save transcribed words to a JSON file."""
-    data = [
+    data = [{"word": w.word, "start": w.start, "end": w.end} for w in words]
-        {"word": w.word, "start": w.start, "end": w.end}
-        for w in words
-    ]
 
     with open(output_path, "w", encoding="utf-8") as f:
         json.dump(data, f, indent=2)
 
 
-def load_transcript(transcript_path: Path) -> list[TranscribedWord]:
+def load_transcript(
-    """Load transcribed words from a JSON file."""
+    transcript_path: Path, project_path: Optional[Path] = None
+) -> list[TranscribedWord]:
+    """Load transcribed words from a JSON file.
+
+    Args:
+        transcript_path: Path to the transcript JSON file
+        project_path: Optional project path for cache fallback
+    """
+    # Try cache fallback if project_path provided
+    if project_path:
+        transcript_path, _ = resolve_with_cache(transcript_path, project_path)
+
     if not transcript_path.exists():
         raise TranscriptionError(f"Transcript file not found: {transcript_path}")
 
@@ -86,6 +100,90 @@ def load_transcript(transcript_path: Path) -> list[TranscribedWord]:
         data = json.load(f)
 
     return [
-        TranscribedWord(word=w["word"], start=w["start"], end=w["end"])
+        TranscribedWord(word=w["word"], start=w["start"], end=w["end"]) for w in data
-        for w in data
     ]
+
+
+def _format_srt_timestamp(seconds: float) -> str:
+    """Format seconds as SRT timestamp: HH:MM:SS,mmm"""
+    hours = int(seconds // 3600)
+    minutes = int((seconds % 3600) // 60)
+    secs = int(seconds % 60)
+    millis = int((seconds % 1) * 1000)
+    return f"{hours:02d}:{minutes:02d}:{secs:02d},{millis:03d}"
+
+
+def words_to_srt(
+    words: list[TranscribedWord],
+    max_words_per_line: int = 10,
+    max_duration: float = 5.0,
+    gap_threshold: float = 1.0,
+) -> str:
+    """
+    Convert word-level timestamps to SRT caption format.
+
+    Groups words into readable caption segments based on:
+    - Maximum words per line (default: 10)
+    - Maximum segment duration (default: 5 seconds)
+    - Natural gaps between words (default: 1 second pause triggers new segment)
+
+    Args:
+        words: List of TranscribedWord with timestamps
+        max_words_per_line: Maximum words before splitting to new segment
+        max_duration: Maximum duration of a single caption segment
+        gap_threshold: Pause duration that triggers a new segment
+
+    Returns:
+        SRT formatted string ready for YouTube upload
+    """
+    if not words:
+        return ""
+
+    segments: list[tuple[float, float, str]] = []  # (start, end, text)
+    current_words: list[str] = []
+    segment_start: float = words[0].start
+    segment_end: float = words[0].end
+
+    for i, word in enumerate(words):
+        # Check if we should start a new segment
+        start_new_segment = False
+
+        # Gap between words
+        if current_words and (word.start - segment_end) > gap_threshold:
+            start_new_segment = True
+
+        # Too many words
+        if len(current_words) >= max_words_per_line:
+            start_new_segment = True
+
+        # Segment too long
+        if current_words and (word.end - segment_start) > max_duration:
+            start_new_segment = True
+
+        if start_new_segment and current_words:
+            # Save current segment
+            text = " ".join(current_words)
+            segments.append((segment_start, segment_end, text))
+            # Start new segment
+            current_words = []
+            segment_start = word.start
+
+        current_words.append(word.word)
+        segment_end = word.end
+
+    # Don't forget the last segment
+    if current_words:
+        text = " ".join(current_words)
+        segments.append((segment_start, segment_end, text))
+
+    # Format as SRT
+    srt_lines = []
+    for idx, (start, end, text) in enumerate(segments, 1):
+        srt_lines.append(str(idx))
+        srt_lines.append(
+            f"{_format_srt_timestamp(start)} --> {_format_srt_timestamp(end)}"
+        )
+        srt_lines.append(text)
+        srt_lines.append("")  # Blank line between entries
+
+    return "\n".join(srt_lines)

gnommo/validator.py

@@ -2,8 +2,16 @@
 
 from pathlib import Path
 
+from .cache import resolve_with_cache
 from .errors import ValidationError, ValidationIssue
-from .models import ProjectConfig, SlideDefinition, VideoSource, SLIDE_LAYOUTS
+from .parser import _read_json
+from .models import (
+    ProjectConfig,
+    SlideDefinition,
+    VideoSource,
+    SLIDE_LAYOUTS,
+    CAMERA_PRESETS,
+)
 
 
 def validate_project(
@@ -12,10 +20,12 @@ def validate_project(
     config: ProjectConfig,
     slides: dict[str, SlideDefinition],
     videos: dict[str, VideoSource],
+    videos_dir: Path,
     malformed_markers: list[tuple[int, str]] = None,
-) -> None:
+) -> list[ValidationIssue]:
     """
     Validate all parsed project data. Raises ValidationError if any issues found.
+    Returns a list of warnings (non-fatal issues).
 
     Checks:
     - All slide markers in manuscript exist in slides.json
@@ -26,23 +36,88 @@ def validate_project(
     - No malformed markers in manuscript
     """
     issues: list[ValidationIssue] = []
+    warnings: list[ValidationIssue] = []
 
     # Check for malformed markers first (these are likely typos)
     if malformed_markers:
         for line_num, marker_text in malformed_markers:
-            issues.append(ValidationIssue(
+            issues.append(
-                f"Malformed marker: {marker_text}",
+                ValidationIssue(
-                project_path / "manuscript.txt",
+                    f"Malformed marker: {marker_text}",
-                line_num
+                    project_path / "manuscript.txt",
-            ))
+                    line_num,
+                )
+            )
 
-    # Check all manuscript markers have corresponding slides
+    # Check all manuscript markers have corresponding slides or videos
     for marker in manuscript_markers:
+        # Skip camera effect markers (Zoom0, TiltLeft, Reset, etc.)
+        if marker in CAMERA_PRESETS:
+            continue
+        # Skip audio markers (start with 'A' followed by audio id, e.g., Awoosh)
+        if marker.startswith("A") and len(marker) > 1 and marker[1:].isalnum():
+            continue
+        # Validate video trigger markers — both legacy [video:xxx] and
+        # shorthand [vft:xxx] / [vfb:xxx] / [vst:xxx] / [vsb:xxx].
+        _VIDEO_PREFIXES = {
+            "video:": 6,
+            "vft:": 4,
+            "vfb:": 4,
+            "vst:": 4,
+            "vsb:": 4,
+        }
+        matched_prefix = next(
+            (p for p in _VIDEO_PREFIXES if marker.startswith(p)), None
+        )
+        if matched_prefix is not None:
+            video_id = marker[_VIDEO_PREFIXES[matched_prefix] :]
+            if video_id not in videos:
+                hint = ""
+                if "." in video_id:
+                    base_name = video_id.rsplit(".", 1)[0]
+                    if base_name in videos:
+                        hint = f" (Did you mean [{matched_prefix}{base_name}]? Don't include file extensions in markers)"
+                warnings.append(
+                    ValidationIssue(
+                        f"Video marker [{marker}] referenced in manuscript but '{video_id}' not defined in videos.json{hint} — using PlaceholderVideo instead",
+                        project_path / "manuscript.txt",
+                    )
+                )
+            continue
+
+        # Validate narration trigger markers (narration:xxx) - continuous videos
+        if marker.startswith("narration:"):
+            video_id = marker[10:]  # Remove 'narration:' prefix
+            if video_id not in videos:
+                warnings.append(
+                    ValidationIssue(
+                        f"Narration marker [{marker}] referenced in manuscript but '{video_id}' not defined in videos.json — using PlaceholderVideo instead",
+                        project_path / "manuscript.txt",
+                    )
+                )
+            continue
+
+        # Segment markers are structural annotations, not slide references
+        if marker.startswith("segment:"):
+            continue
+
+        # Unknown namespaced markers (e.g. [background:xxx]) — not supported, ignore with warning
+        if ":" in marker:
+            warnings.append(
+                ValidationIssue(
+                    f"Unknown marker type [{marker}] — ignoring (no support for '{marker.split(':', 1)[0]}:' markers)",
+                    project_path / "manuscript.txt",
+                )
+            )
+            continue
+
         if marker not in slides:
-            issues.append(ValidationIssue(
+            issues.append(
-                f"Slide marker [{marker}] referenced in manuscript but not defined in slides.json",
+                ValidationIssue(
-                project_path / "manuscript.txt"
+                    f"Slide marker [{marker}] referenced in manuscript but not defined in slides.json",
-            ))
+                    project_path / "manuscript.txt",
+                )
+            )
 
     # Check all slide images exist
     # Slides are in the same directory as the slides.json file
@@ -51,82 +126,141 @@ def validate_project(
 
     for slide_id, slide_def in slides.items():
         image_path = slides_dir / slide_def.image
+        image_path, _ = resolve_with_cache(image_path, project_path)
         if not image_path.exists():
-            issues.append(ValidationIssue(
+            issues.append(
-                f"Slide image not found: {slide_def.image}",
+                ValidationIssue(
-                slides_json_path
+                    f"Slide image not found: {slide_def.image}", slides_json_path
-            ))
+                )
+            )
 
         # Check slide type is valid
         if slide_def.type not in SLIDE_LAYOUTS:
-            issues.append(ValidationIssue(
+            issues.append(
-                f"Unknown slide type '{slide_def.type}' for slide {slide_id}. "
+                ValidationIssue(
-                f"Valid types: {list(SLIDE_LAYOUTS.keys())}",
+                    f"Unknown slide type '{slide_def.type}' for slide {slide_id}. "
-                project_path / "slides.json"
+                    f"Valid types: {list(SLIDE_LAYOUTS.keys())}",
-            ))
+                    project_path / "slides.json",
+                )
+            )
+
+    # Check all video files exist (paths relative to videos_dir or shared_assets)
+    videos_json_path = project_path / config.videos_path
+
+    # Find shared_assets directory
+    shared_assets_dir = None
+    if (project_path / "shared_assets").exists():
+        shared_assets_dir = project_path / "shared_assets"
+    elif (project_path.parent / "shared_assets").exists():
+        shared_assets_dir = project_path.parent / "shared_assets"
 
-    # Check all video files exist
     for video_id, video_source in videos.items():
-        video_path = project_path / video_source.file
+        # Determine base directory based on is_shared flag
+        if video_source.is_shared:
+            if shared_assets_dir:
+                base_dir = shared_assets_dir
+            else:
+                issues.append(
+                    ValidationIssue(
+                        f"Video '{video_id}' has is_shared=true but shared_assets directory not found",
+                        videos_json_path,
+                    )
+                )
+                continue
+        else:
+            base_dir = videos_dir
+
+        video_path = base_dir / video_source.source_file
+        video_path, _ = resolve_with_cache(video_path, project_path)
         if not video_path.exists():
-            issues.append(ValidationIssue(
+            warnings.append(
-                f"Video file not found: {video_source.file}",
+                ValidationIssue(
-                project_path / "videos.json"
+                    f"Video file not found: {video_source.source_file} — falling back to PlaceholderVideo",
-            ))
+                    videos_json_path,
+                )
+            )
 
-        # Check preprocessed output exists if preprocessing is defined
+        # Check preprocessed output exists if filters are defined
-        if video_source.preprocess and video_source.output_file:
+        if video_source.filter and video_source.output_file:
-            output_path = project_path / video_source.output_file
+            output_path = base_dir / video_source.output_file
+            output_path, _ = resolve_with_cache(output_path, project_path)
             if not output_path.exists():
-                issues.append(ValidationIssue(
+                issues.append(
-                    f"Preprocessed output not found: {video_source.output_file}. "
+                    ValidationIssue(
-                    f"Run with -a preprocess first.",
+                        f"Preprocessed output not found: {video_source.output_file}. "
-                    project_path / "videos.json"
+                        f"Run with -a preprocess first.",
-                ))
+                        videos_json_path,
+                    )
+                )
 
-    # Check background exists (image or video)
+    # Check background exists — must be a handle in shared_assets/videos.json
-    # Try 'background' first, fall back to deprecated 'background_video'
+    bg_handle = config.background
-    bg_file = config.background or config.background_video
+    if bg_handle:
-    if bg_file:
+        shared_assets_dir = project_path.parent / "shared_assets"
-        # Check in project folder first, then parent (for shared_assets)
+        videos_json_path_bg = shared_assets_dir / "videos.json"
-        bg_path = project_path / bg_file
+        if not videos_json_path_bg.exists():
-        if not bg_path.exists():
+            issues.append(
-            # Try parent directory (shared_assets at repo root)
+                ValidationIssue(
-            bg_path = project_path.parent / bg_file
+                    f"shared_assets/videos.json not found (needed for background handle '{bg_handle}')",
-        if not bg_path.exists():
+                    project_path / "project.json",
-            issues.append(ValidationIssue(
+                )
-                f"Background not found: {bg_file}",
+            )
-                project_path / "project.json"
+        else:
-            ))
+            bg_videos = _read_json(videos_json_path_bg)
+            if bg_handle not in bg_videos:
+                issues.append(
+                    ValidationIssue(
+                        f"Background handle '{bg_handle}' not found in shared_assets/videos.json",
+                        project_path / "project.json",
+                    )
+                )
+            else:
+                bg_path = shared_assets_dir / bg_videos[bg_handle]["source_file"]
+                if not bg_path.exists():
+                    issues.append(
+                        ValidationIssue(
+                            f"Background file not found: {bg_path} (from handle '{bg_handle}')",
+                            project_path / "project.json",
+                        )
+                    )
 
-    # Check we have at least one video source
+    # Check videos.json exists (empty is fine — project may not need triggered videos)
-    if not videos:
+    if not (project_path / config.videos_path).exists():
-        issues.append(ValidationIssue(
+        issues.append(
-            "No video sources defined in videos.json",
+            ValidationIssue(
-            project_path / "videos.json"
+                "videos.json not found — run 'gnommo import' to create it",
-        ))
+                project_path / "videos.json",
+            )
+        )
 
     # Check resolution is reasonable
     width, height = config.resolution
-    if width < 100 or height < 100:
+    if width < 50 or height < 50:
-        issues.append(ValidationIssue(
+        issues.append(
-            f"Resolution too small: {width}x{height}",
+            ValidationIssue(
-            project_path / "project.json"
+                f"Resolution too small: {width}x{height}", project_path / "project.json"
-        ))
+            )
+        )
 
     if width > 7680 or height > 4320:
-        issues.append(ValidationIssue(
+        issues.append(
-            f"Resolution too large: {width}x{height} (max 8K)",
+            ValidationIssue(
-            project_path / "project.json"
+                f"Resolution too large: {width}x{height} (max 8K)",
-        ))
+                project_path / "project.json",
+            )
+        )
 
     # Check FPS is reasonable
     if config.fps < 1 or config.fps > 120:
-        issues.append(ValidationIssue(
+        issues.append(
-            f"Invalid FPS: {config.fps} (must be 1-120)",
+            ValidationIssue(
-            project_path / "project.json"
+                f"Invalid FPS: {config.fps} (must be 1-120)",
-        ))
+                project_path / "project.json",
+            )
+        )
 
     # If any issues, raise ValidationError
     if issues:
         raise ValidationError(issues)
+
+    return warnings

jensauthorkey

@@ -0,0 +1,7 @@
+-----BEGIN OPENSSH PRIVATE KEY-----
+b3BlbnNzaC1rZXktdjEAAAAABG5vbmUAAAAEbm9uZQAAAAAAAAABAAAAMwAAAAtzc2gtZW
+QyNTUxOQAAACCDr3tCxUf7HC+9s9N0TF9EECMshm6/Epcr6kZzaZGv0AAAAKC+5OiPvuTo
+jwAAAAtzc2gtZWQyNTUxOQAAACCDr3tCxUf7HC+9s9N0TF9EECMshm6/Epcr6kZzaZGv0A
+AAAEBKyC2/ZfItNXIf/UcSTYaV/eWjX6uKIrvliO+sdFJUV4Ove0LFR/scL72z03RMX0QQ
+IyyGbr8SlyvqRnNpka/QAAAAHGplbnMudGFuZHN0YWRAZWFnbGVjb25kb3Iubm8B
+-----END OPENSSH PRIVATE KEY-----

jensauthorkey.pub

@@ -0,0 +1 @@
+ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIIOve0LFR/scL72z03RMX0QQIyyGbr8SlyvqRnNpka/Q jens.tandstad@eaglecondor.no

main.py

@@ -0,0 +1,6 @@
+import gnommo
+
+if __name__ == "__main__":
+    print("This is the main module.")
+
+    gnommo.main()

requirements.txt

@@ -0,0 +1,2 @@
+openai-whisper
+

short_is_universe_pixelated/.gnommo_sync.json

@@ -0,0 +1,5 @@
+{
+  "last_pushed_at": "2026-03-13T09:44:12+00:00",
+  "server_updated_at": "2026-03-13T09:44:12.934Z",
+  "last_pulled_at": "2026-03-13T09:35:00+00:00"
+}

short_is_universe_pixelated/project.json

@@ -0,0 +1,34 @@
+{
+  "id": "short_is_universe_pixelated",
+  "name": "Is the universe pixelated?",
+  "description": "What if space is made of tiny blocks? A 60-second take on discrete physics.",
+  "parent_project": "Video1",
+  "hook": "What if reality is fundamentally blocky — like Minecraft, but smaller?",
+  "platform_targets": [
+    "youtube"
+  ],
+  "resolution": [
+    1080,
+    1920
+  ],
+  "fps": 30,
+  "duration_seconds": 60,
+  "script": "script.md",
+  "output_video": "short_is_universe_pixelated.mp4",
+  "keynote_file": "../video1/media/video1.key",
+  "background": "../video1/shared_assets/BlackBackground.mp4",
+  "slides": "../video1/media/slides/Video1/slides.json",
+  "defaultSlideType": "fullscreen",
+  "cutouts": {
+    "talkinghead": {
+      "x": "-23%",
+      "y": "10%",
+      "height": "90%"
+    },
+    "fullscreen": {
+      "x": "0%",
+      "y": "0%",
+      "height": "100%"
+    }
+  }
+}

short_is_universe_pixelated/script.md

@@ -0,0 +1,31 @@
+# Short: Is the universe pixelated?
+
+**HOOK**: What if reality is fundamentally blocky — like Minecraft, but smaller?
+
+[SLIDE: title_card]
+
+Everyone assumes space is smooth and continuous.
+
+[SLIDE: smooth_space]
+
+But what if it isn't?
+
+[SLIDE: pixelated_space]
+
+What if there's a *smallest* unit of space — and below that, nothing exists?
+
+[SLIDE: planck_length]
+
+This isn't new-age woo. The Planck length has been sitting in physics for a century.
+
+[SLIDE: planck_formula]
+
+The question is: is it a minimum, or just a measurement limit?
+
+[SLIDE: question_mark]
+
+That's what we're exploring at Glitch University.
+
+[SLIDE: outro]
+
+Link in description. The physics rabbit hole goes deep.

skills/.env

@@ -0,0 +1,4 @@
+
+
+API_URL="${GNOMMO_API_URL:-https://glitch.university}" 
+CONTENT_API_KEY=782y497821y491y3981212 

skills/CLAUDE.deglitch.md

@@ -0,0 +1,110 @@
+# Gnommo Content Skills
+
+Skills for generating content for the Gnommo/Glitch.University learning platform.
+
+## Available Skills
+
+| Skill | File | Purpose |
+|-------|------|---------|
+| DEGLITCH Gates | `deglitch-gate-generator.md` | Generate quiz questions from manuscripts |
+| Slide Content | `slide-content-generator.md` | Generate image prompts & text for slides |
+
+---
+
+# DEGLITCH Gate Generator
+
+Generate quiz questions from manuscript content for the Gnommo learning platform.
+
+## Quick Start
+
+1. Read `manuscript.txt` (or specified file)
+2. Identify 3-7 key concepts
+3. Create 1-2 questions per concept
+4. Output JSON or submit via API
+
+## Project Structure
+
+Each video project has:
+- `manuscript.txt` - The narration script with `[SX]` slide markers
+- `project.json` - Contains `coursecode` to identify the tech on the server
+
+## API Configuration
+
+```
+Base URL: ${GNOMMO_API_URL:-http://localhost:3001}
+Auth: Authorization: Bearer ${CONTENT_API_KEY}
+```
+
+## Endpoints
+
+- `GET /api/content/techs/available` - Find tech_id to link
+- `POST /api/content/deglitch-gates` - Create gate
+- `GET /api/content/deglitch-gates` - List gates
+- `PUT /api/content/deglitch-gates/:id` - Update gate
+
+## Question JSON Structure
+
+```json
+{
+  "tech_id": null,
+  "title": "Gate Title",
+  "description": "What this tests",
+  "passing_score": 0.8,
+  "shuffle_questions": true,
+  "shuffle_options": true,
+  "questions": [
+    {
+      "question_type": "radio",
+      "text": "Question?",
+      "sort_order": 0,
+      "options": {
+        "a": { "answer": "Wrong", "correct": false, "why": "Explanation" },
+        "b": { "answer": "Right", "correct": true, "why": "Explanation" },
+        "c": { "answer": "Wrong", "correct": false, "why": "Explanation" },
+        "d": { "answer": "Wrong", "correct": false, "why": "Explanation" }
+      }
+    }
+  ]
+}
+```
+
+## Question Types
+- `radio` - Single answer (most common)
+- `checkbox` - Multiple answers
+- `llm` - Free text (AI evaluated)
+
+## Quality Guidelines
+
+- Test understanding, not memorization
+- One clear correct answer per radio question
+- Plausible wrong answers with educational "why"
+- Concise questions, avoid trick questions
+- Vary difficulty across questions
+
+## Workflow with API Key
+
+```bash
+# 1. Read project.json to get coursecode
+cat /path/to/video/project.json | jq '.coursecode'
+
+# 2. Find tech_id by matching coursecode
+curl -H "Authorization: Bearer $CONTENT_API_KEY" \
+  $GNOMMO_API_URL/api/content/techs
+
+# 3. Create gate with matched tech_id
+curl -X POST -H "Authorization: Bearer $CONTENT_API_KEY" \
+  -H "Content-Type: application/json" \
+  $GNOMMO_API_URL/api/content/deglitch-gates \
+  -d '{"tech_id": 1, "title":"...","questions":[...]}'
+```
+
+## Matching Coursecode to Tech
+
+The `coursecode` in `project.json` matches the `code` field in the server's tech list:
+- `♟️_#1.0` → Lightlane series, Video 1
+- `♟️_#2.0` → Lightlane series, Video 2
+- `WTF_#1` → What is Glitch University series, Video 1
+
+## Workflow without API Key
+
+Output the complete JSON for manual entry or later API submission.

skills/deglitch-api.sh

@@ -0,0 +1,141 @@
+#!/bin/bash
+# glitch gate API Helper Script
+# Usage: source this file, then use the functions
+
+# Configuration - set these or export before sourcing
+GNOMMO_API_URL="${GNOMMO_API_URL:-http://localhost:3001}"
+# CONTENT_API_KEY should be set in environment
+
+# Check if API key is set
+check_api_key() {
+  if [ -z "$CONTENT_API_KEY" ]; then
+    echo "Error: CONTENT_API_KEY not set"
+    echo "Run: export CONTENT_API_KEY=your-key-here"
+    return 1
+  fi
+}
+
+# List all techs
+list_techs() {
+  check_api_key || return 1
+  curl -s -H "Authorization: Bearer $CONTENT_API_KEY" \
+    "$GNOMMO_API_URL/api/content/techs" | jq
+}
+
+# List techs without gates (available for linking)
+list_available_techs() {
+  check_api_key || return 1
+  curl -s -H "Authorization: Bearer $CONTENT_API_KEY" \
+    "$GNOMMO_API_URL/api/content/techs/available" | jq
+}
+
+# List all glitch gates
+list_gates() {
+  check_api_key || return 1
+  curl -s -H "Authorization: Bearer $CONTENT_API_KEY" \
+    "$GNOMMO_API_URL/api/content/deglitch-gates" | jq
+}
+
+# Get a specific gate by ID
+get_gate() {
+  check_api_key || return 1
+  local gate_id=$1
+  if [ -z "$gate_id" ]; then
+    echo "Usage: get_gate <gate_id>"
+    return 1
+  fi
+  curl -s -H "Authorization: Bearer $CONTENT_API_KEY" \
+    "$GNOMMO_API_URL/api/content/deglitch-gates/$gate_id" | jq
+}
+
+# Create a gate from JSON file
+create_gate() {
+  check_api_key || return 1
+  local json_file=$1
+  if [ -z "$json_file" ]; then
+    echo "Usage: create_gate <json_file>"
+    return 1
+  fi
+  if [ ! -f "$json_file" ]; then
+    echo "Error: File not found: $json_file"
+    return 1
+  fi
+  curl -s -X POST \
+    -H "Authorization: Bearer $CONTENT_API_KEY" \
+    -H "Content-Type: application/json" \
+    -d @"$json_file" \
+    "$GNOMMO_API_URL/api/content/deglitch-gates" | jq
+}
+
+# Create a gate from JSON string
+create_gate_json() {
+  check_api_key || return 1
+  local json_data=$1
+  if [ -z "$json_data" ]; then
+    echo "Usage: create_gate_json '<json_string>'"
+    return 1
+  fi
+  curl -s -X POST \
+    -H "Authorization: Bearer $CONTENT_API_KEY" \
+    -H "Content-Type: application/json" \
+    -d "$json_data" \
+    "$GNOMMO_API_URL/api/content/deglitch-gates" | jq
+}
+
+# Update a gate from JSON file
+update_gate() {
+  check_api_key || return 1
+  local gate_id=$1
+  local json_file=$2
+  if [ -z "$gate_id" ] || [ -z "$json_file" ]; then
+    echo "Usage: update_gate <gate_id> <json_file>"
+    return 1
+  fi
+  if [ ! -f "$json_file" ]; then
+    echo "Error: File not found: $json_file"
+    return 1
+  fi
+  curl -s -X PUT \
+    -H "Authorization: Bearer $CONTENT_API_KEY" \
+    -H "Content-Type: application/json" \
+    -d @"$json_file" \
+    "$GNOMMO_API_URL/api/content/deglitch-gates/$gate_id" | jq
+}
+
+# Delete a gate
+delete_gate() {
+  check_api_key || return 1
+  local gate_id=$1
+  if [ -z "$gate_id" ]; then
+    echo "Usage: delete_gate <gate_id>"
+    return 1
+  fi
+  read -p "Delete gate $gate_id? (y/N) " confirm
+  if [ "$confirm" = "y" ] || [ "$confirm" = "Y" ]; then
+    curl -s -X DELETE \
+      -H "Authorization: Bearer $CONTENT_API_KEY" \
+      "$GNOMMO_API_URL/api/content/deglitch-gates/$gate_id" | jq
+  else
+    echo "Cancelled"
+  fi
+}
+
+# Print available commands
+deglitch_help() {
+  echo "glitch gate API Commands:"
+  echo ""
+  echo "  list_techs           - List all techs"
+  echo "  list_available_techs - List techs without gates"
+  echo "  list_gates           - List all glitch gates"
+  echo "  get_gate <id>        - Get gate details"
+  echo "  create_gate <file>   - Create gate from JSON file"
+  echo "  create_gate_json '<json>' - Create gate from JSON string"
+  echo "  update_gate <id> <file>   - Update gate from JSON file"
+  echo "  delete_gate <id>     - Delete a gate"
+  echo ""
+  echo "Configuration:"
+  echo "  GNOMMO_API_URL=$GNOMMO_API_URL"
+  echo "  CONTENT_API_KEY=$([ -n "$CONTENT_API_KEY" ] && echo "[set]" || echo "[not set]")"
+}
+
+echo "DEGLITCH API helper loaded. Run 'deglitch_help' for commands."

skills/deglitch-gate-generator.md

@@ -0,0 +1,251 @@
+# glitch gate Generator Skill
+
+You are a quiz/assessment generator for the Gnommo learning platform. Your job is to read educational manuscript content and create glitch gate questions that test understanding.
+
+## What is a glitch gate?
+
+A glitch gate is a quiz that learners must pass to demonstrate mastery of a tech (lesson). Gates have:
+- A title and description
+- A passing score (default 80%)
+- Multiple questions with explanations for why each answer is correct/incorrect
+
+## Question Philosophy
+
+Create questions that test **understanding**, not memorization:
+
+- **Intuition questions**: Test pattern recognition and conceptual understanding
+- **Grit questions**: Present tricky scenarios requiring careful thinking
+- **Craft questions**: Test precise technical knowledge and attention to detail
+
+### Good Question Characteristics
+- Tests a single concept clearly
+- Has one unambiguously correct answer
+- Wrong answers are plausible (not obviously wrong)
+- Each answer has a "why" explanation
+- Avoids trick questions or gotchas
+
+## Workflow
+
+### Step 1: Read the Manuscript
+
+First, read the manuscript file to understand the content:
+
+```
+Read the file: manuscript.txt
+```
+
+Or if given a specific path:
+```
+Read the file: /path/to/manuscript.txt
+```
+
+### Step 2: Identify Key Concepts
+
+After reading, identify 3-7 key concepts that learners should understand. Consider:
+- Core principles explained in the text
+- Common misconceptions to address
+- Practical applications mentioned
+- Relationships between concepts
+
+### Step 3: Generate Questions
+
+For each key concept, create 1-2 questions. Use this JSON structure:
+
+```json
+{
+  "tech_id": null,
+  "title": "Gate Title Based on Content",
+  "description": "Brief description of what this gate tests",
+  "passing_score": 0.8,
+  "shuffle_questions": true,
+  "shuffle_options": true,
+  "is_active": true,
+  "questions": [
+    {
+      "question_type": "radio",
+      "text": "Question text here?",
+      "sort_order": 0,
+      "options": {
+        "a": {
+          "answer": "First option",
+          "correct": false,
+          "why": "Explanation of why this is incorrect"
+        },
+        "b": {
+          "answer": "Second option (correct)",
+          "correct": true,
+          "why": "Explanation of why this is correct"
+        },
+        "c": {
+          "answer": "Third option",
+          "correct": false,
+          "why": "Explanation of why this is incorrect"
+        },
+        "d": {
+          "answer": "Fourth option",
+          "correct": false,
+          "why": "Explanation of why this is incorrect"
+        }
+      }
+    }
+  ]
+}
+```
+
+### Question Types
+
+- `radio` - Single correct answer (most common)
+- `checkbox` - Multiple correct answers
+- `llm` - Free text evaluated by AI (use sparingly)
+
+## Step 4: Submit to API (if API key available)
+
+If you have the Content API key, you can directly create the gate:
+
+```bash
+curl -X POST https://your-domain.com/api/content/deglitch-gates \
+  -H "Authorization: Bearer YOUR_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d 'YOUR_JSON_HERE'
+```
+
+### API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/api/content/techs` | List all techs to find tech_id |
+| GET | `/api/content/techs/available` | Techs without gates |
+| GET | `/api/content/deglitch-gates` | List existing gates |
+| POST | `/api/content/deglitch-gates` | Create new gate |
+| PUT | `/api/content/deglitch-gates/:id` | Update gate |
+| DELETE | `/api/content/deglitch-gates/:id` | Delete gate |
+
+### Finding the Right Tech ID
+
+Before creating a gate, list available techs to find the correct `tech_id`:
+
+```bash
+curl -X GET https://your-domain.com/api/content/techs/available \
+  -H "Authorization: Bearer YOUR_API_KEY"
+```
+
+## Example: Complete Question Set
+
+Here's an example of a well-structured gate for an "Atomic Structure" lesson:
+
+```json
+{
+  "tech_id": 1,
+  "title": "Atomic Structure Fundamentals",
+  "description": "Test your understanding of basic atomic structure and the components of atoms.",
+  "passing_score": 0.8,
+  "shuffle_questions": true,
+  "shuffle_options": true,
+  "is_active": true,
+  "questions": [
+    {
+      "question_type": "radio",
+      "text": "What determines the chemical properties of an atom?",
+      "sort_order": 0,
+      "options": {
+        "a": {
+          "answer": "The number of neutrons",
+          "correct": false,
+          "why": "Neutrons affect atomic mass and stability, but not chemical properties directly."
+        },
+        "b": {
+          "answer": "The number of protons",
+          "correct": false,
+          "why": "Protons determine the element, but electrons determine how it bonds."
+        },
+        "c": {
+          "answer": "The number of electrons in the outer shell",
+          "correct": true,
+          "why": "Valence electrons determine how an atom bonds with others, defining its chemical behavior."
+        },
+        "d": {
+          "answer": "The total atomic mass",
+          "correct": false,
+          "why": "Atomic mass affects physical properties like density, not chemical reactivity."
+        }
+      }
+    },
+    {
+      "question_type": "radio",
+      "text": "An atom has 6 protons and 8 neutrons. What element is it?",
+      "sort_order": 1,
+      "options": {
+        "a": {
+          "answer": "Oxygen",
+          "correct": false,
+          "why": "Oxygen has 8 protons. The number of protons defines the element."
+        },
+        "b": {
+          "answer": "Carbon",
+          "correct": true,
+          "why": "Carbon has 6 protons. This is carbon-14, an isotope with 8 neutrons."
+        },
+        "c": {
+          "answer": "Nitrogen",
+          "correct": false,
+          "why": "Nitrogen has 7 protons."
+        },
+        "d": {
+          "answer": "Carbon-14 is not carbon",
+          "correct": false,
+          "why": "Isotopes are variants of the same element. Carbon-14 is still carbon."
+        }
+      }
+    },
+    {
+      "question_type": "radio",
+      "text": "Why are noble gases chemically inert?",
+      "sort_order": 2,
+      "options": {
+        "a": {
+          "answer": "They have no electrons",
+          "correct": false,
+          "why": "Noble gases have electrons; helium has 2, neon has 10, etc."
+        },
+        "b": {
+          "answer": "Their outer electron shell is full",
+          "correct": true,
+          "why": "A full valence shell means no tendency to gain, lose, or share electrons."
+        },
+        "c": {
+          "answer": "They are too heavy to react",
+          "correct": false,
+          "why": "Mass doesn't determine reactivity. Francium is heavy but highly reactive."
+        },
+        "d": {
+          "answer": "They only exist at very low temperatures",
+          "correct": false,
+          "why": "Noble gases exist at all temperatures; they're gases at room temperature."
+        }
+      }
+    }
+  ]
+}
+```
+
+## Tips for Quality Questions
+
+1. **Start with the concept**, then craft the question around it
+2. **Make wrong answers educational** - the "why" should teach something
+3. **Vary difficulty** - include some easier and some harder questions
+4. **Avoid "all of the above"** or "none of the above" options
+5. **Keep questions concise** - if it needs a lot of context, split it
+6. **Test understanding, not recall** - ask "why" and "how", not just "what"
+
+## Environment Variables
+
+If using the API programmatically, you need:
+- `CONTENT_API_KEY` - Your API key for authentication
+- API base URL (e.g., `https://gnommo.com` or `http://localhost:3001`)
+
+## Output Format
+
+When generating questions without API access, output:
+1. A summary of key concepts identified
+2. The complete JSON structure ready to copy
+3. Any notes about the questions or suggestions for the tech linking

skills/slide-content-generator.md

@@ -0,0 +1,165 @@
+# Slide Content Generator Skill
+
+Generate slide content (image prompts or text) from Gnommo manuscript files.
+
+## Context
+
+Gnommo presentations use a **square slide area next to a talking head**. Slides should be:
+- Visually impactful but not cluttered
+- Timed to appear with the first word after the `[SX]` marker
+- Either **image-based** (generated via AI) or **text-based** (minimal, punchy text)
+
+## Manuscript Format
+
+Manuscripts use slide markers like `[S1]`, `[S2]`, etc. The content following each marker is what the presenter says while that slide is displayed.
+
+```
+[S1]
+Welcome to the course...
+
+[S2]
+What if the universe is discrete?
+```
+
+## Workflow
+
+### Step 1: Read the Manuscript
+
+```
+Read the file: /path/to/manuscript.txt
+```
+
+### Step 2: Analyze Each Slide
+
+For each `[SX]` marker, determine:
+1. **What is the core message?** - The key idea being communicated
+2. **Visual or text?** - Would an image or text better support the message?
+3. **Emotional tone?** - Dramatic, contemplative, humorous, technical?
+
+### Step 3: Generate Content
+
+For each slide, output one of:
+
+#### IMAGE PROMPT
+For conceptual, emotional, or complex ideas that benefit from visualization.
+
+```
+**[SX]** - "First few words..."
+**IMAGE PROMPT:**
+`Detailed description for AI image generation, style, mood, composition, lighting, specific elements to include`
+```
+
+#### TEXT SLIDE
+For lists, key terms, definitions, or when words ARE the point.
+
+```
+**[SX]** - "First few words..."
+**TEXT SLIDE:**
+```
+HEADLINE
+
+• Bullet point
+• Another point
+```
+```
+
+## Guidelines
+
+### When to Use IMAGE PROMPTS
+
+- Abstract concepts (e.g., "the fabric of spacetime")
+- Metaphors and analogies (e.g., "like changing engines while driving")
+- Emotional moments (e.g., "this sounds insane")
+- Scene-setting (e.g., "imagine a Minecraft universe")
+
+### When to Use TEXT SLIDES
+
+- Lists of items being enumerated
+- Technical terms being defined
+- Key questions or frameworks
+- Course titles, section headers
+- Quotes or key phrases
+
+### Image Prompt Best Practices
+
+1. **Be specific about style**: "isometric illustration", "cinematic lighting", "minimal vector style"
+2. **Include mood/tone**: "mysterious", "hopeful", "dramatic contrast"
+3. **Describe composition**: "split image", "centered subject", "deep space background"
+4. **Avoid text in images**: AI image generators struggle with text - use text slides instead
+5. **Keep it achievable**: Don't describe impossibly complex scenes
+
+### Text Slide Best Practices
+
+1. **Minimal words**: 3-7 words per line, 1-5 lines max
+2. **Use hierarchy**: HEADLINES in caps, details below
+3. **Bullets for lists**: Keep them short and scannable
+4. **Leave breathing room**: Don't fill the entire square
+
+## Output Format
+
+Output slides in order, with clear separation:
+
+```markdown
+---
+
+**[S1]** - "First words of narration..."
+**TYPE:** (IMAGE PROMPT or TEXT SLIDE)
+Content here
+
+---
+
+**[S2]** - "First words of narration..."
+...
+```
+
+## Example Output
+
+---
+
+**[S1]** - "Welcome to Glitch.University..."
+**TEXT SLIDE:**
+```
+GLITCH.UNIVERSITY
+WTF_#1
+
+What is Glitch University?
+```
+
+---
+
+**[S2]** - "What if the universe is fundamentally discrete..."
+**IMAGE PROMPT:**
+`A hyper-detailed Minecraft-style voxel universe, showing galaxies and stars rendered as tiny glowing cubes, deep space background with blocky nebulae, cosmic scale but pixelated, dark background with vibrant cube-shaped stars, cinematic lighting`
+
+---
+
+## Customization Options
+
+### Style Presets
+
+You can request specific visual styles:
+- **Tech/Corporate**: Clean vectors, isometric, blues and whites
+- **Cosmic/Physics**: Deep space, nebulae, particle effects
+- **Playful/Minecraft**: Voxels, bright colors, blocky
+- **Philosophical**: Abstract, minimal, contemplative
+- **Dramatic**: High contrast, cinematic, intense lighting
+
+### Text Tone
+
+- **Academic**: Formal terminology, structured
+- **Casual**: Conversational, approachable
+- **Punchy**: Short, impactful, memorable
+
+## Integration with Gnommo
+
+The generated content can be used to:
+1. Create slides in Keynote/PowerPoint
+2. Generate images via Midjourney/DALL-E/Stable Diffusion
+3. Populate the `slides.json` file in the project's media folder
+
+## Tips
+
+- Read the ENTIRE manuscript first to understand the arc
+- Match slide density to pacing - fast sections need simpler slides
+- Create visual continuity - recurring metaphors should have consistent imagery
+- Consider what the talking head is doing - slides complement, not compete

tasks.md

@@ -0,0 +1,476 @@
+# Gnommo Feature Development Roadmap
+
+## Overview
+Features to standardize the Keynote-to-YouTube workflow, so that once the presentation is complete, only a standardized recording session stands between you and a finished video.
+
+---
+
+## 1. Video Description Generator
+
+**Command:** `gnommo -p <project> description`
+
+Generate a complete YouTube description with citations, attributions, and chapters.
+
+---
+
+### 1.1 Manuscript Citations (`[cite:...]`)
+
+Citations embedded in the manuscript represent sources, references, or links mentioned during narration. The text after `cite:` is the **literal reference** that should appear in the description.
+
+**Format in manuscript.txt:**
+```
+[cite:Reference text exactly as it should appear]
+```
+
+**Examples:**
+```
+[S3]
+According to this study [cite:Smith et al. (2024) "Effects of AI on Productivity" - https://example.com/paper],
+the effect is significant.
+
+[S7]
+I'm using [cite:Keynote by Apple - https://apple.com/keynote] for all my presentations.
+
+[S12]
+This technique was pioneered by [cite:Dr. Jane Doe, MIT Media Lab].
+```
+
+**Output in description:**
+```
+SOURCES & REFERENCES
+━━━━━━━━━━━━━━━━━━━━
+1:23 - Smith et al. (2024) "Effects of AI on Productivity" - https://example.com/paper
+4:56 - Keynote by Apple - https://apple.com/keynote
+8:30 - Dr. Jane Doe, MIT Media Lab
+```
+
+**Requirements:**
+- Parse `[cite:...]` markers from manuscript.txt
+- Extract the literal text after `cite:` as the reference
+- Align citations to timestamps (same fuzzy matching as other markers)
+- Group citations in order of appearance
+- Citations are NOT aligned for rendering (ignored by renderer) but ARE timestamped for description
+
+**Note:** `[cite:...]` markers should not affect video rendering or narration alignment - they are metadata-only markers for description generation.
+
+---
+
+### 1.2 Pexels/Stock Footage Attribution
+
+Attribution for Pexels content is **not legally required** but is appreciated and professional.
+
+**Official Pexels attribution format:**
+```
+by [Contributor Name] via Pexels
+```
+
+**Implementation:**
+- Extend `videos.json` to include attribution metadata:
+  ```json
+  {
+    "beach_waves": {
+      "source_file": "pexels/beach.mp4",
+      "is_shared": true,
+      "attribution": {
+        "source": "pexels",
+        "creator": "John Doe",
+        "url": "https://pexels.com/video/12345"
+      }
+    }
+  }
+  ```
+- Auto-detect Pexels videos from `shared_assets/pexels/` folder
+- Support Pexels metadata JSON files (if downloaded with video)
+- Generate attribution section for video description:
+  ```
+  STOCK FOOTAGE
+  ━━━━━━━━━━━━━
+  Beach waves by John Doe via Pexels: https://pexels.com/video/12345
+  City timelapse by Jane Smith via Pexels: https://pexels.com/video/67890
+  ```
+
+**Pexels License Notes** (from pexels.com/license):
+- Free for personal and commercial use
+- Attribution not required but appreciated
+- Cannot sell unaltered copies
+- Cannot redistribute on other stock platforms
+
+### 1.3 Complete Description Output
+
+**Output file:** `out/description_youtube.txt`
+
+Combine all elements into a ready-to-paste YouTube description.
+
+**Structure:**
+```
+[Video description from project.json "description" field]
+
+CHAPTERS
+━━━━━━━━
+0:00 Introduction
+1:23 Topic One
+3:45 Topic Two
+...
+
+REFERENCES
+━━━━━━━━━━
+1:23 - Smith et al. (2024) "AI Study" - https://example.com
+4:56 - Keynote by Apple - https://apple.com/keynote
+...
+
+STOCK FOOTAGE
+━━━━━━━━━━━━━
+Beach waves by John Doe via Pexels: https://pexels.com/video/12345
+...
+
+[Optional footer from project.json "footer" field - social links, subscribe CTA, etc.]
+```
+
+**project.json additions:**
+```json
+{
+  "description": "In this video, I walk through the complete Gnommo workflow for creating YouTube videos from Keynote presentations.",
+  "footer": "Subscribe for more tutorials: https://youtube.com/@channel\nTwitter: https://twitter.com/handle"
+}
+```
+
+**Requirements:**
+- Pull video description from `project.json` "description" field
+- Generate chapters from slide markers (see Section 2)
+- Collect all `[cite:...]` references with timestamps
+- Collect all Pexels/stock attributions from `videos.json`
+- Append optional footer from `project.json` "footer" field
+- Output to `out/description_youtube.txt`
+- Sections with no content are omitted (e.g., no STOCK FOOTAGE section if none used)
+
+---
+
+## 2. YouTube Chapter Markers
+
+**Command:** `gnommo -p <project> chapters`
+
+Auto-generate chapter timestamps from slide markers.
+
+**Requirements:**
+- Extract chapter titles from:
+  - Keynote slide titles (via presenter notes import)
+  - First sentence after each `[SN]` marker
+  - Optional `[chapter:Title]` markers for explicit chapter names
+- Calculate timestamps from aligned marker timings
+- Output copy-paste ready format:
+  ```
+  CHAPTERS
+  ━━━━━━━━
+  0:00 Introduction
+  1:23 What is Gnommo?
+  3:45 Setting Up Your Project
+  7:12 Recording Tips
+  10:30 Rendering Your Video
+  12:45 Outro
+  ```
+- Option to merge small chapters (minimum duration threshold)
+- Support for nested chapters (main topics + subtopics)
+
+---
+
+## 3. Subtitle/Caption Export
+
+**Command:** `gnommo -p <project> subtitles`
+
+Generate subtitle files from Whisper transcription.
+
+**Requirements:**
+- Export formats: SRT, VTT, TXT
+- Use existing word-level timestamps from transcription
+- Smart line breaking (max characters per line, break at punctuation)
+- Speaker diarization support (future: multiple speakers)
+- Options:
+  - `--format srt|vtt|txt`
+  - `--max-chars 42` (characters per line)
+  - `--max-duration 5` (seconds per subtitle block)
+
+**Example output (SRT):**
+```
+1
+00:00:01,500 --> 00:00:04,200
+Hello and welcome to this tutorial
+on video editing with Gnommo.
+
+2
+00:00:04,500 --> 00:00:07,800
+Today we're going to cover
+the complete workflow.
+```
+
+---
+
+## 4. Thumbnail Generation
+
+**Command:** `gnommo -p <project> thumbnail`
+
+Auto-generate thumbnail candidates from slides.
+
+**Requirements:**
+- Designate thumbnail slides with `[thumbnail]` marker
+- If no marker, use slide 1 or title slide
+- Apply text overlays from config:
+  ```json
+  {
+    "thumbnail": {
+      "title_text": "Episode ${episode_number}",
+      "subtitle_text": "${title}",
+      "font": "Impact",
+      "text_color": "#FFFFFF",
+      "outline_color": "#000000",
+      "position": "bottom-left"
+    }
+  }
+  ```
+- Generate multiple variants:
+  - With/without text overlay
+  - Different zoom levels
+  - Different color treatments (saturated, high contrast)
+- Output to `out/thumbnails/` folder
+- Resolution: 1280x720 (YouTube standard)
+
+---
+
+## 5. Intro/Outro Templates
+
+**Configuration in project.json:**
+```json
+{
+  "intro": {
+    "template": "templates/intro_v2.mp4",
+    "duration": 3.5,
+    "transition": "fade",
+    "variables": {
+      "episode_number": "12",
+      "title": "Getting Started with Gnommo"
+    }
+  },
+  "outro": {
+    "template": "templates/outro_subscribe.mp4",
+    "duration": 8.0,
+    "transition": "fade"
+  }
+}
+```
+
+**Requirements:**
+- Define intro/outro templates in `shared_assets/templates/`
+- Auto-prepend intro before first slide
+- Auto-append outro after last slide
+- Support variable substitution in templates (episode number, title)
+- Configurable transition types (fade, cut, wipe)
+- End screen safe zone support (last 20 seconds)
+
+---
+
+## 6. Multi-Platform Format Presets
+
+**Command:** `gnommo -p <project> render --format <preset>`
+
+**Presets:**
+| Preset | Aspect | Resolution | Notes |
+|--------|--------|------------|-------|
+| `youtube` | 16:9 | 1920x1080 | Default, standard horizontal |
+| `youtube-4k` | 16:9 | 3840x2160 | 4K export |
+| `shorts` | 9:16 | 1080x1920 | Vertical, auto-reframe slides |
+| `podcast` | - | Audio only | MP3/M4A export for podcast feeds |
+| `square` | 1:1 | 1080x1080 | Instagram/LinkedIn |
+
+**Requirements:**
+- Auto-adjust cutout positions per format
+- Smart slide reframing for vertical (zoom to content area)
+- Separate output folders per format
+- Batch export to multiple formats: `--format youtube,shorts,podcast`
+
+---
+
+## 7. Teleprompter Script Generation
+
+**Command:** `gnommo -p <project> teleprompter`
+
+Extract clean narration text for teleprompter display.
+
+**Requirements:**
+- Strip all markers from manuscript
+- Keep only spoken text
+- Output formats:
+  - `--format txt` - Plain text
+  - `--format html` - Scrollable HTML page with large font
+  - `--format json` - For teleprompter apps
+- Optional: Include slide thumbnails as visual cues
+- Configurable font size and scroll speed hints
+
+**Example HTML output:**
+```html
+<div class="teleprompter">
+  <p class="cue">[SLIDE: Introduction]</p>
+  <p>Hello and welcome to this tutorial on video editing with Gnommo.</p>
+  <p class="cue">[SLIDE: What is Gnommo?]</p>
+  <p>Gnommo is a code-first video editing pipeline...</p>
+</div>
+```
+
+---
+
+## 8. Recording Checklist Generator
+
+**Command:** `gnommo -p <project> checklist`
+
+Generate a pre-recording checklist based on project configuration.
+
+**Output includes:**
+- [ ] Camera settings (resolution, fps from project.json)
+- [ ] Lighting setup (if green screen detected in videos.json)
+- [ ] Audio check (microphone levels)
+- [ ] Props/demos needed (parsed from `[video:...]` markers)
+- [ ] Slide count and estimated duration
+- [ ] Teleprompter ready
+- [ ] Recording space clear
+
+**Customizable via `checklist_template.md` in project folder.**
+
+---
+
+## 9. Audio Normalization
+
+**Automatic during render or standalone command:**
+`gnommo -p <project> normalize`
+
+**Requirements:**
+- Target: -14 LUFS (YouTube standard)
+- Apply loudness normalization to narration track
+- Preserve dynamic range (avoid over-compression)
+- Normalize intro/outro audio to match
+- Option: `--target-lufs -14`
+
+**Implementation:**
+- Use FFmpeg `loudnorm` filter
+- Two-pass normalization for accurate results
+- Report before/after levels
+
+---
+
+## 10. Project Templates
+
+**Command:** `gnommo init <project-name> --template <template>`
+
+**Built-in templates:**
+| Template | Description |
+|----------|-------------|
+| `tutorial` | Talking head + slides, square slide layout |
+| `explainer` | Full-screen slides, minimal presenter |
+| `review` | Product review format, multiple camera angles |
+| `talking-head` | Full-screen presenter, no slides |
+| `screencast` | Screen recording with small presenter PIP |
+
+**Requirements:**
+- Templates stored in `~/.gnommo/templates/` or `shared_assets/templates/`
+- Each template includes:
+  - `project.json` with preset cutouts and settings
+  - `manuscript.txt` skeleton with example markers
+  - Sample `videos.json` structure
+- User can create custom templates: `gnommo template save <name>`
+
+---
+
+## 11. Batch Processing
+
+**Command:** `gnommo batch render project1 project2 project3`
+
+**Requirements:**
+- Process multiple projects in sequence
+- Continue on failure (don't stop batch for one failed project)
+- Summary report at end:
+  ```
+  BATCH COMPLETE
+  ━━━━━━━━━━━━━━
+  ✓ project1 - rendered in 5:23
+  ✓ project2 - rendered in 4:17
+  ✗ project3 - failed (missing slide S12)
+  ```
+- Options:
+  - `--parallel 2` - Run N renders in parallel
+  - `--skip-existing` - Skip if `out/final.mp4` exists
+  - `--format youtube,shorts` - Render all formats for each project
+
+---
+
+## 12. Progress Dashboard
+
+**Command:** `gnommo status` or `gnommo -p <project> status`
+
+Display pipeline status for all projects or specific project.
+
+**Output:**
+```
+PROJECT STATUS
+━━━━━━━━━━━━━━
+Project     Import  Preprocess  Transcribe  Render   Output
+─────────────────────────────────────────────────────────────
+video1      ✓       ✓           ✓           ✓        final.mp4 (12:34)
+video2      ✓       ✓           ✓           ✗        -
+video3      ✓       ✗           -           -        -
+video4      ✗       -           -           -        -
+```
+
+**Requirements:**
+- Scan all project directories
+- Check for existence of intermediate files
+- Show file timestamps and durations
+- Highlight what needs to be done next
+
+---
+
+## 13. Recording Session Mode (Future)
+
+**Command:** `gnommo -p <project> session`
+
+Live recording assistant mode.
+
+**Features:**
+- Display current slide on secondary monitor
+- Show teleprompter text overlay
+- Keyboard shortcuts to advance slides
+- Real-time recording with proper settings
+- Auto-stop at end of manuscript
+- Voice command support: "next slide", "pause"
+
+**Note:** This is a stretch goal requiring significant UI work.
+
+---
+
+## Implementation Priority
+
+### Phase 1 - Core YouTube Workflow (High Impact)
+1. **Video Description Generator** (citations + Pexels attribution)
+2. **YouTube Chapter Markers**
+3. **Subtitle/Caption Export**
+4. **Audio Normalization**
+
+### Phase 2 - Content Creation Efficiency
+5. **Thumbnail Generation**
+6. **Intro/Outro Templates**
+7. **Teleprompter Script Generation**
+8. **Recording Checklist Generator**
+
+### Phase 3 - Scale & Automation
+9. **Project Templates**
+10. **Multi-Platform Format Presets**
+11. **Batch Processing**
+12. **Progress Dashboard**
+
+### Phase 4 - Advanced
+13. **Recording Session Mode**
+
+---
+
+## Notes
+
+- All new commands should follow existing CLI pattern: `gnommo -p <project> <command>`
+- Output files go to `out/` subdirectory by default
+- All features should support `--dry-run` where applicable
+- Verbose mode (`-v`) should show detailed progress

to_mp3.sh

@@ -0,0 +1,117 @@
+#!/usr/bin/env bash
+# to_mp3.sh — Convert .m4a and .wav files to .mp3
+#
+# Usage:
+#   ./to_mp3.sh <file_or_folder> [options]
+#
+# Options:
+#   --quality N    VBR quality 0-9 (default: 2 ≈ 190kbps; lower = better)
+#   --bitrate N    CBR bitrate e.g. 192k (overrides --quality)
+#   --replace      Delete originals after successful conversion
+#   --dry-run      Show what would be converted without doing anything
+#
+# Examples:
+#   ./to_mp3.sh recordings/
+#   ./to_mp3.sh interview.m4a
+#   ./to_mp3.sh recordings/ --replace
+#   ./to_mp3.sh recordings/ --bitrate 128k
+
+set -euo pipefail
+
+QUALITY=2
+BITRATE=""
+REPLACE=false
+DRY_RUN=false
+TARGET=""
+
+# Parse arguments
+while [[ $# -gt 0 ]]; do
+    case "$1" in
+        --quality)  QUALITY="$2";  shift 2 ;;
+        --bitrate)  BITRATE="$2";  shift 2 ;;
+        --replace)  REPLACE=true;  shift ;;
+        --dry-run)  DRY_RUN=true;  shift ;;
+        -*)         echo "Unknown option: $1" >&2; exit 1 ;;
+        *)          TARGET="$1";   shift ;;
+    esac
+done
+
+if [[ -z "$TARGET" ]]; then
+    echo "Usage: $(basename "$0") <file_or_folder> [--quality N] [--bitrate N] [--replace] [--dry-run]"
+    exit 1
+fi
+
+if ! command -v ffmpeg &>/dev/null; then
+    echo "Error: ffmpeg not found." >&2
+    exit 1
+fi
+
+# Collect files
+files=()
+if [[ -f "$TARGET" ]]; then
+    files=("$TARGET")
+elif [[ -d "$TARGET" ]]; then
+    while IFS= read -r -d '' f; do
+        files+=("$f")
+    done < <(find "$TARGET" -maxdepth 1 -type f \( -iname "*.m4a" -o -iname "*.wav" \) -print0 | sort -z)
+else
+    echo "Error: '$TARGET' is not a file or directory." >&2
+    exit 1
+fi
+
+if [[ ${#files[@]} -eq 0 ]]; then
+    echo "No .m4a or .wav files found in: $TARGET"
+    exit 0
+fi
+
+# Build audio quality flags
+if [[ -n "$BITRATE" ]]; then
+    audio_flags=(-b:a "$BITRATE")
+    quality_desc="CBR ${BITRATE}"
+else
+    audio_flags=(-q:a "$QUALITY")
+    quality_desc="VBR quality ${QUALITY}"
+fi
+
+echo "Converting ${#files[@]} file(s) to MP3 (${quality_desc})"
+[[ "$REPLACE" == true ]] && echo "  Originals will be deleted after conversion."
+[[ "$DRY_RUN" == true ]] && echo "  Dry-run mode — no files will be written."
+echo ""
+
+converted=0
+skipped=0
+errors=0
+
+for src in "${files[@]}"; do
+    out="${src%.*}.mp3"
+
+    if [[ -f "$out" && "$DRY_RUN" == false ]]; then
+        echo "  $(basename "$src"): output already exists, skipping"
+        ((skipped++)) || true
+        continue
+    fi
+
+    size_mb=$(( $(stat -f%z "$src" 2>/dev/null || stat -c%s "$src") / 1048576 ))
+    printf "  %-40s (%d MB)" "$(basename "$src")" "$size_mb"
+
+    if [[ "$DRY_RUN" == true ]]; then
+        echo "  [dry-run] → $(basename "$out")"
+        continue
+    fi
+
+    if ffmpeg -i "$src" -vn "${audio_flags[@]}" -y "$out" -loglevel error; then
+        out_kb=$(( $(stat -f%z "$out" 2>/dev/null || stat -c%s "$out") / 1024 ))
+        echo "  → $(basename "$out") (${out_kb} KB)"
+        ((converted++)) || true
+        if [[ "$REPLACE" == true ]]; then
+            rm "$src"
+        fi
+    else
+        echo "  ERROR"
+        ((errors++)) || true
+        [[ -f "$out" ]] && rm "$out"
+    fi
+done
+
+echo ""
+echo "Done: ${converted} converted, ${skipped} skipped, ${errors} errors."

transcode.sh

@@ -0,0 +1,300 @@
+#!/bin/zsh
+#
+# Video Transcoding Script
+# Converts video files to H.265/HEVC at 1080p for significant size reduction
+#
+# Usage: ./transcode.sh <folder> [options]
+#
+# Options:
+#   --replace    Delete original files after successful transcoding
+#   --dry-run    Show what would be transcoded without doing it
+#   --crf <N>    Quality level (default: 20, lower=better quality, 18-28 typical)
+#
+
+set -e
+
+# Configuration
+DEFAULT_CRF=18
+EXTENSIONS=("mov" "mp4" "m4v" "avi" "mkv" "mxf")
+
+usage() {
+    cat << EOF
+Video Transcoding Script
+
+Converts video files to H.265/HEVC at 1080p for significant size reduction.
+Typically achieves 80-95% size reduction from uncompressed 4K footage.
+
+Usage: $(basename "$0") <folder|file> [options]
+
+Options:
+  --replace     Delete original files after successful transcoding
+  --dry-run     Show what would be transcoded without doing it
+  --crf <N>     Quality level (default: 23)
+                Lower = better quality, larger files
+                18 = visually lossless, 23 = default, 28 = smaller
+  --help        Show this help message
+
+Output:
+  Files are saved alongside originals with '_compressed.mp4' suffix.
+  With --replace, originals are deleted after successful transcode.
+  When processing a folder, files are sorted smallest-first.
+
+Examples:
+  $(basename "$0") ./video.mov                       # Transcode single file
+  $(basename "$0") ./media/videos                    # Transcode folder (smallest first)
+  $(basename "$0") ./media/videos --dry-run          # Preview only
+  $(basename "$0") ./media/videos --replace          # Transcode and delete originals
+  $(basename "$0") ./media/videos --crf 18           # Higher quality
+
+EOF
+    exit 0
+}
+
+# Parse arguments
+FOLDER=""
+REPLACE=false
+DRY_RUN=false
+CRF=$DEFAULT_CRF
+
+while [[ $# -gt 0 ]]; do
+    case "$1" in
+        --replace)
+            REPLACE=true
+            shift
+            ;;
+        --dry-run)
+            DRY_RUN=true
+            shift
+            ;;
+        --crf)
+            CRF="$2"
+            shift 2
+            ;;
+        --help|-h)
+            usage
+            ;;
+        -*)
+            echo "Unknown option: $1"
+            usage
+            ;;
+        *)
+            if [[ -z "$FOLDER" ]]; then
+                FOLDER="$1"
+            fi
+            shift
+            ;;
+    esac
+done
+
+# Validate arguments
+if [[ -z "$FOLDER" ]]; then
+    echo "Error: Folder path is required"
+    echo ""
+    usage
+fi
+
+if [[ ! -d "$FOLDER" && ! -f "$FOLDER" ]]; then
+    echo "Error: Path not found: $FOLDER"
+    exit 1
+fi
+
+# Check for ffmpeg
+if ! command -v ffmpeg &> /dev/null; then
+    echo "Error: ffmpeg is not installed"
+    echo "Install with: brew install ffmpeg"
+    exit 1
+fi
+
+# Build find pattern for video files
+build_find_pattern() {
+    local pattern=""
+    for ext in "${EXTENSIONS[@]}"; do
+        if [[ -n "$pattern" ]]; then
+            pattern="$pattern -o"
+        fi
+        pattern="$pattern -iname '*.$ext'"
+    done
+    echo "$pattern"
+}
+
+# Format file size for display
+format_size() {
+    local bytes=$1
+    if (( bytes >= 1073741824 )); then
+        printf "%.1fG" $(echo "scale=1; $bytes / 1073741824" | bc)
+    elif (( bytes >= 1048576 )); then
+        printf "%.1fM" $(echo "scale=1; $bytes / 1048576" | bc)
+    else
+        printf "%.1fK" $(echo "scale=1; $bytes / 1024" | bc)
+    fi
+}
+
+# Get file size in bytes
+get_size() {
+    stat -f%z "$1" 2>/dev/null || echo 0
+}
+
+echo "========================================"
+echo "Video Transcoder"
+echo "========================================"
+echo "Folder:      $FOLDER"
+echo "Codec:       H.265/HEVC"
+echo "Resolution:  1080p (scaled down)"
+echo "Quality:     CRF $CRF"
+echo "Replace:     $REPLACE"
+[[ "$DRY_RUN" == true ]] && echo "DRY RUN:     Yes"
+echo "========================================"
+echo ""
+
+# Check if input is a file or folder
+IS_SINGLE_FILE=false
+if [[ -f "$FOLDER" ]]; then
+    IS_SINGLE_FILE=true
+    VIDEO_FILES=("$FOLDER")
+    echo "Processing single file"
+    echo ""
+else
+    # Find all video files (excluding already compressed ones), sorted by size (smallest first)
+    FIND_PATTERN=$(build_find_pattern)
+
+    # Use Python for robust sorting by size (handles spaces in paths correctly)
+    VIDEO_FILES=()
+    while IFS= read -r file; do
+        VIDEO_FILES+=("$file")
+    done < <(eval "find \"$FOLDER\" -type f \( $FIND_PATTERN \)" 2>/dev/null | python3 -c "
+import sys
+import os
+
+files = []
+for line in sys.stdin:
+    path = line.rstrip('\n')
+    if '_compressed.' in path:
+        continue
+    try:
+        size = os.path.getsize(path)
+        files.append((size, path))
+    except:
+        pass
+
+files.sort(key=lambda x: x[0])
+for size, path in files:
+    print(path)
+")
+
+    if [[ ${#VIDEO_FILES[@]} -eq 0 ]]; then
+        echo "No video files found in $FOLDER"
+        exit 0
+    fi
+
+    echo "Found ${#VIDEO_FILES[@]} video file(s) to process (smallest first)"
+    echo ""
+fi
+
+# Track totals
+TOTAL_ORIGINAL=0
+TOTAL_COMPRESSED=0
+SUCCESS_COUNT=0
+FAIL_COUNT=0
+
+# Process each file
+for input_file in "${VIDEO_FILES[@]}"; do
+    # Generate output filename
+    dir=$(dirname "$input_file")
+    basename=$(basename "$input_file")
+    name="${basename%.*}"
+    output_file="$dir/${name}_compressed.mp4"
+
+    # Get original size
+    original_size=$(get_size "$input_file")
+    original_size_fmt=$(format_size $original_size)
+
+    echo "----------------------------------------"
+    echo "Input:  $input_file ($original_size_fmt)"
+    echo "Output: $output_file"
+
+    if [[ "$DRY_RUN" == true ]]; then
+        echo "Action: [DRY RUN] Would transcode"
+        continue
+    fi
+
+    # Skip if output already exists
+    if [[ -f "$output_file" ]]; then
+        echo "Action: Skipped (output already exists)"
+        continue
+    fi
+
+    # Transcode with ffmpeg
+    # -vf scale=-2:1080  = scale to 1080p height, auto width (divisible by 2)
+    # -c:v libx265       = H.265/HEVC codec
+    # -crf               = quality (lower = better)
+    # -preset medium     = encoding speed/compression tradeoff
+    # -c:a aac -b:a 128k = audio to AAC at 128kbps
+    # -tag:v hvc1        = compatibility tag for Apple devices
+    echo "Action: Transcoding..."
+
+    if ffmpeg -i "$input_file" \
+        -vf "scale=-2:1080" \
+        -c:v libx265 \
+        -crf "$CRF" \
+        -preset medium \
+        -c:a aac -b:a 128k \
+        -tag:v hvc1 \
+        -y \
+        "$output_file" \
+        -loglevel warning -stats 2>&1; then
+
+        # Get compressed size
+        compressed_size=$(get_size "$output_file")
+        compressed_size_fmt=$(format_size $compressed_size)
+
+        # Calculate reduction
+        if (( original_size > 0 )); then
+            reduction=$(echo "scale=1; 100 - ($compressed_size * 100 / $original_size)" | bc)
+        else
+            reduction=0
+        fi
+
+        echo "Result: $original_size_fmt → $compressed_size_fmt (${reduction}% reduction)"
+
+        TOTAL_ORIGINAL=$((TOTAL_ORIGINAL + original_size))
+        TOTAL_COMPRESSED=$((TOTAL_COMPRESSED + compressed_size))
+        ((SUCCESS_COUNT++))
+
+        # Delete original if --replace is set
+        if [[ "$REPLACE" == true ]]; then
+            rm "$input_file"
+            echo "Deleted: $input_file"
+        fi
+    else
+        echo "Result: FAILED"
+        ((FAIL_COUNT++))
+        # Remove partial output file if it exists
+        [[ -f "$output_file" ]] && rm "$output_file"
+    fi
+done
+
+echo ""
+echo "========================================"
+echo "Summary"
+echo "========================================"
+if [[ "$DRY_RUN" == true ]]; then
+    echo "DRY RUN - no files were transcoded"
+else
+    echo "Processed: $SUCCESS_COUNT succeeded, $FAIL_COUNT failed"
+    if (( SUCCESS_COUNT > 0 )); then
+        total_orig_fmt=$(format_size $TOTAL_ORIGINAL)
+        total_comp_fmt=$(format_size $TOTAL_COMPRESSED)
+        if (( TOTAL_ORIGINAL > 0 )); then
+            total_reduction=$(echo "scale=1; 100 - ($TOTAL_COMPRESSED * 100 / $TOTAL_ORIGINAL)" | bc)
+        else
+            total_reduction=0
+        fi
+        echo "Total:     $total_orig_fmt → $total_comp_fmt (${total_reduction}% reduction)"
+
+        if [[ "$REPLACE" == true ]]; then
+            saved=$(format_size $((TOTAL_ORIGINAL - TOTAL_COMPRESSED)))
+            echo "Freed:     $saved"
+        fi
+    fi
+fi
+echo "========================================"