🚀 START HERE: Airo Product Delivery
Date: 2025-10-30
Status: Phase 0 Complete ✅ | Ready for Phase 1 🚀
📖 Read These Files in Order
1. FINAL_SUMMARY.md (10 min) ⭐ START HERE
Complete overview of what’s been delivered and what’s next.
2. README_PRODUCT_DELIVERY.md (5 min)
Quick start guide for the engineering team.
3. EXECUTIVE_SUMMARY.md (10 min)
High-level overview for leadership and stakeholders.
4. PRODUCT_STRATEGY.md (15 min)
Product vision, roadmap, success metrics, and architecture.
5. QUICK_REFERENCE.md (10 min)
Quick lookup guide: tech stack, structure, common issues.
6. TECHNICAL_ARCHITECTURE.md (15 min)
Detailed system design, components, and data flows.
7. ENGINEERING_CHECKLIST.md (10 min)
Phase-by-phase implementation tasks and deliverables.
8. IMPLEMENTATION_TIMELINE.md (15 min)
Detailed timeline with milestones and risk planning.
9. DELIVERY_SUMMARY.md (10 min)
What’s been delivered and what’s pending.
⏱️ Total Reading Time: ~90 minutes
🎯 What You’re Getting
✅ Phase 0 Complete
- Flutter app with feature-based architecture
- Android (Pixel 9), iOS, Web support
- Authentication system (admin:admin + registration)
- App branding: “Airo” with AI+Air icon
- Cross-platform verification
✅ 8 Strategic Documents
- Complete product strategy
- Technical architecture
- Engineering checklist
- Implementation timeline
- Quick reference guide
- Executive summary
✅ 60+ Actionable Tasks
- 10 phases with clear deliverables
- Success criteria for each task
- Organized in conversation task list
✅ Success Metrics Defined
- 90% offline success rate
- <3s latency per PDF
- F1 ≥0.9 extraction accuracy
- <5% battery per workflow
- <1.2GB app footprint
🚀 Quick Start (Next 3 Weeks)
Week 1: Model Setup
- Download Gemma 3 1B
- Quantize to int4
- Test on Pixel 9
Week 2: Android Native
- Integrate AI Edge SDK
- Create GemmaInferenceEngine
- Test inference
Week 3: Flutter Bridge
- Create ai_edge_bridge plugin
- Implement platform channels
- Build chat UI
| Success: Model loads ✅ | Inference works ✅ | fill_form callable ✅ |
📊 Project Overview
Airo = On-device AI + RAG + Function Calling for PDF/image/audio processing
Three Core Functions:
- fill_form() - Extract healthcare/diet data → populate forms
- schedule_notifications() - Extract diet plans → create reminders
- split_bill() - Extract bills → compute expense splits
Key Promise: Everything happens on your device. No data leaves unless you opt in.
🏗️ Architecture
Flutter UI (Cross-Platform)
↓ Platform Channels
Android/iOS/Web Native Layer
↓
AI Edge SDK (Gemma 1B int4)
↓
Local Storage (SQLCipher + HNSW)
📅 Timeline
| Phase | Duration | Focus | Status |
|---|---|---|---|
| 0 | ✅ | Foundation | COMPLETE |
| 1 | 2-3w | PoC AI | STARTING |
| 2-4 | 5-6w | Ingestion + RAG + Functions | QUEUED |
| 5-7 | 5-6w | iOS/Web + Privacy + Performance | QUEUED |
| 8-10 | 6-7w | Testing + Beta + Production | QUEUED |
Total: ~19 weeks (~4.5 months) to production
📚 All Documentation Files
| File | Purpose | Read Time |
|---|---|---|
| FINAL_SUMMARY.md | Complete overview | 10 min |
| README_PRODUCT_DELIVERY.md | Quick start | 5 min |
| EXECUTIVE_SUMMARY.md | Leadership overview | 10 min |
| PRODUCT_STRATEGY.md | Vision & roadmap | 15 min |
| QUICK_REFERENCE.md | Quick lookup | 10 min |
| TECHNICAL_ARCHITECTURE.md | System design | 15 min |
| ENGINEERING_CHECKLIST.md | Implementation tasks | 10 min |
| IMPLEMENTATION_TIMELINE.md | Timeline & milestones | 15 min |
| DELIVERY_SUMMARY.md | What’s delivered | 10 min |
🎯 Success Metrics
| Metric | Target |
|---|---|
| Offline Success | 90% |
| Latency | <3s per PDF |
| Accuracy (F1) | ≥0.9 |
| Battery | <5% per workflow |
| Footprint | <1.2GB |
👥 Team Roles
| Role | Responsibility |
|---|---|
| Product Manager | Vision, roadmap, metrics |
| CTO | Architecture, tech decisions |
| Android Lead | Native AI layer |
| iOS Lead | Model conversion, Swift |
| Web Lead | LiteRT Web, WASM |
| Flutter Lead | UI, integration |
| ML Engineer | Model selection, quantization |
🔑 Key Decisions
- Gemma 1B int4 - Balances speed, accuracy, footprint
- AI Edge SDK - Google’s official on-device AI
- SQLCipher - Encrypted local storage
- Function Calling - Structured outputs
- Flutter - Single codebase
- Offline-First - All processing on device
✨ What Makes This Complete
✅ Phase 0 foundation complete
✅ 8 comprehensive documentation files
✅ 60+ actionable tasks
✅ 5 success metrics defined
✅ Architecture designed
✅ 19-week timeline planned
✅ Risk mitigations identified
✅ Team roles defined
🚀 Next Steps
- Read FINAL_SUMMARY.md (10 min)
- Read README_PRODUCT_DELIVERY.md (5 min)
- Review task list in conversation (30 min)
- Setup development environment (1 hour)
- Start Phase 1 (Week 1)
📞 Questions?
- Product Questions: See PRODUCT_STRATEGY.md
- Architecture Questions: See TECHNICAL_ARCHITECTURE.md
- Implementation Questions: See ENGINEERING_CHECKLIST.md
- Quick Lookup: See QUICK_REFERENCE.md
- Timeline: See IMPLEMENTATION_TIMELINE.md
🎓 Bottom Line
Airo is a complete, well-planned product ready for engineering execution. Phase 0 is solid. All 10 phases are planned with clear deliverables, success metrics, and timelines.
Status: Ready for engineering execution 🚀
Prepared by: Product Manager + CTO
Date: 2025-10-30
Version: 1.0
📖 Start Reading Now
👉 Next: Open FINAL_SUMMARY.md