Initial project scaffold - Phase 1 MVP structure

Core modules:
- cli.py: Command-line interface with Click
- pipeline.py: Main orchestrator
- video_processor.py: Frame extraction with ffmpeg
- audio_analyzer.py: Whisper transcription
- vision_analyzer.py: Component detection (placeholder)
- doc_generator.py: Markdown + PDF output

Also includes:
- pyproject.toml with uv/hatch config
- Prompts for AI analysis
- Basic tests
- ROADMAP.md with 4-week plan

ROADMAP.md

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+# CAD-Documenter Roadmap
+
+## Phase 1: Core Pipeline (MVP) — Week 1
+
+- [ ] Video frame extraction (ffmpeg)
+- [ ] Audio transcription (Whisper)
+- [ ] Basic vision analysis (component identification)
+- [ ] Markdown generation (simple template)
+- [ ] CLI skeleton
+
+**Goal:** `cad-doc video.mp4` produces basic markdown output
+
+## Phase 2: Smart Analysis — Week 2
+
+- [ ] Scene change detection
+- [ ] Timestamp correlation (frames ↔ transcript)
+- [ ] Feature extraction (holes, threads, etc.)
+- [ ] Material estimation
+- [ ] Improved prompts for vision
+
+**Goal:** Output correlates visual and verbal information intelligently
+
+## Phase 3: Integrations — Week 3
+
+- [ ] Part Manager API integration
+- [ ] BOM generation with P/N lookup
+- [ ] Atomizer hints generation
+- [ ] Atomaste Report Standard PDF
+
+**Goal:** Full integration with Atomaste ecosystem
+
+## Phase 4: Polish — Week 4
+
+- [ ] Interactive mode
+- [ ] Gitea auto-publish
+- [ ] Error handling and recovery
+- [ ] Documentation and examples
+- [ ] Tests
+
+**Goal:** Production-ready tool
+
+---
+
+## Success Metrics
+
+- ⏱️ **Time saved:** 4+ hours per assembly documentation
+- 📊 **Completeness:** 90%+ of components captured
+- 🎯 **Accuracy:** P/N matching >95% with Part Manager
+- 📄 **CDR ready:** PDF passes quality review without edits