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+# Studio: Multimedia Pipeline Design
+
+**Date:** 8 March 2026
+**Status:** Approved
+
+## Goal
+
+Local AI multimedia pipeline for video remixing, content creation, and voice interaction. Runs as a CorePHP service (Studio) dispatching GPU work to homelab infrastructure. First client: OF agency remixing existing footage into TikTok-ready variants.
+
+## Architecture
+
+Studio is a job orchestrator. LEM handles creative decisions (smart layer), ffmpeg and GPU services handle execution (dumb layer). LEM never touches video frames — it produces JSON manifests that the execution layer consumes mechanically.
+
+```
+Studio (CorePHP, lthn.ai/lthn.sh)
+  ├── Livewire UI (studio.lthn.ai)
+  ├── Artisan Commands (CLI)
+  └── API Routes (/api/studio/*)
+        │
+        ▼
+  Studio Actions (RemixVideo, GenerateManifest, etc.)
+        │
+  Redis Job Queue
+        │
+        ├── Ollama (LEM fleet) ─── Creative decisions, scripts, captions
+        ├── Whisper Service ────── Transcribe source footage, STT
+        ├── TTS Service ────────── Voiceover generation
+        ├── ffmpeg Worker ──────── Render manifests to video
+        └── ComfyUI (Phase 2) ─── Image gen, thumbnails, overlays
+```
+
+All GPU services are Docker containers on the homelab (or any GPU server). Studio dispatches over HTTP. No local GPU dependency — remote-first from day one.
+
+## Library & Cataloguing
+
+Source material catalogued across three stores:
+
+- **PG** (`studio_assets`): Metadata — filename, duration, resolution, tags (season/theme/mood), workspace
+- **Qdrant**: Vector embeddings from Whisper transcripts + CLIP image embeddings (phase 2). Semantic search
+- **Filesystem**: Raw files on homelab storage, PG references paths
+- **.md catalogue files**: Human-readable collection descriptions, style guides, brand notes. LEM reads as context
+
+Query flow:
+```
+Brief ("summer lollipop TikTok, 15s, upbeat")
+  → LEM queries PG for tagged assets
+  → LEM queries Qdrant for semantic matches
+  → LEM reads collection .md for style context
+  → LEM outputs manifest JSON
+```
+
+## Manifest Format
+
+LEM produces, ffmpeg consumes. No AI in execution.
+
+```json
+{
+  "template": "tiktok-15s",
+  "clips": [
+    {"asset_id": 42, "start": 3.2, "end": 8.1, "order": 1},
+    {"asset_id": 17, "start": 0.0, "end": 5.5, "order": 2}
+  ],
+  "captions": [
+    {"text": "Summer vibes only", "at": 0.5, "duration": 3, "style": "bold-center"}
+  ],
+  "audio": {"track": "original", "fade_in": 0.5},
+  "output": {"format": "mp4", "resolution": "1080x1920", "fps": 30}
+}
+```
+
+Variants: LEM produces multiple manifests from the same brief. Worker renders each independently.
+
+## GPU Services (Homelab)
+
+| Service | Container | Port | Model | Purpose |
+|---------|-----------|------|-------|---------|
+| Ollama | studio-ollama | 11434 | LEM fleet | Creative decisions, scripts, captions |
+| Whisper | studio-whisper | 9100 | whisper-large-v3-turbo | Transcribe footage, STT |
+| TTS | studio-tts | 9200 | Kokoro/Parler | Voiceover generation |
+| ffmpeg Worker | studio-worker | — | n/a | Queue consumer, renders manifests |
+| ComfyUI | studio-comfyui | 8188 | Flux/SD3.5 | Image gen, thumbnails (Phase 2) |
+
+Shared with existing homelab: noc-net Docker network, Traefik, PG, Qdrant. Each service exposes REST, Studio POSTs work and gets callbacks.
+
+Deployment: Ansible playbook per service, ROCm Docker images for GPU services.
+
+## CorePHP Module
+
+`app/Mod/Studio/` — same patterns as LEM module.
+
+**Actions:**
+- `CatalogueAsset::run()` — ingest, extract metadata, generate embeddings
+- `GenerateManifest::run()` — brief + library → LEM → manifest JSON
+- `RenderManifest::run()` — dispatch to ffmpeg worker
+- `TranscribeAsset::run()` — send to Whisper, store transcript
+- `SynthesiseSpeech::run()` — send to TTS, return audio
+
+**Artisan commands:**
+- `studio:catalogue` — batch ingest directory
+- `studio:remix` — brief in, rendered videos out
+- `studio:transcribe` — batch transcribe library
+
+**API routes** (`/api/studio/*`):
+- `POST /remix` — submit brief, get job ID
+- `GET /remix/{id}` — poll status, get output URLs
+- `POST /assets` — upload/catalogue
+- `GET /assets` — search library
+
+**Livewire UI:**
+- Asset browser with tag/search
+- Remix form — pick assets or let LEM choose, enter brief, select template
+- Job status + preview
+- Download/share
+
+**Config:** `config/studio.php` — GPU endpoints, templates, Qdrant collection, storage paths.
+
+## Phased Delivery
+
+### Phase 1 — Foundation (before April)
+- Studio module scaffolding (actions, routes, commands)
+- Asset cataloguing (upload, PG metadata, Whisper transcripts)
+- Whisper service on homelab
+- `studio:transcribe` end to end
+- Basic Livewire asset browser
+
+### Phase 2 — Remix Pipeline
+- Manifest format finalised
+- LEM integration via Ollama (brief → manifest)
+- ffmpeg worker on homelab
+- `studio:remix` CLI + API
+- Livewire remix form + job status
+
+### Phase 3 — Voice & TTS
+- TTS service on homelab (Kokoro)
+- Voice interface: Whisper STT → LEM → TTS
+- Voiceover generation for scripts
+
+### Phase 4 — Visual Generation
+- ComfyUI on homelab with Flux/SD3.5
+- Thumbnail generation
+- Image overlays in manifests
+- Video generation via Wan2.1 (experimental)
+
+### Phase 5 — Production
+- Full library from agency
+- Authentik account for client
+- studio.lthn.ai live
+- Usage tracking via 66analytics
+
+Phase 1 + 2 = April demo. Upload videos, enter brief, get remixed TikToks back.
+
+## Key Decisions
+
+- **Smart/dumb separation**: LEM produces prompts and manifests (creative), ffmpeg executes (mechanical). Value is in the creative layer.
+- **Remote-first GPU**: All inference on homelab/GPU server, never local. Easy to scale to cloud later.
+- **Manifest-driven**: JSON contract between LEM and execution. Either side can evolve independently.
+- **Same Action pattern**: CLI and API call identical actions. UI is just a thin Livewire layer.
+- **Existing infra**: PG, Redis, Qdrant, Ollama, Traefik, Authentik — all already deployed.