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@namastexlabs/speak

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Open source voice dictation for everyone

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# Installation Complete - Speak Project **Date**: 2025-10-22 **Workflow**: Code Install (install.md) **Status**: ✅ Complete --- ## Executive Summary Successfully completed Genie framework installation for **Speak** - a universal voice-to-text dictation application. All product documentation created, development environment configured, and project ready for Phase 1 implementation via `code/wish` workflow. --- ## Deliverables ### 1. Product Documentation Structure ✅ Created comprehensive product documentation in `.genie/product/`: #### **mission.md** (Full Product Vision) - Complete product pitch and value proposition - Target user personas (5 segments identified) - Problem/solution framework - Key features breakdown (Phase 0 MVP + Phase 1 + Future) - Success metrics defined #### **mission-lite.md** (Elevator Pitch) - Condensed overview for quick reference - Core value proposition - Key differentiators - Current focus summary #### **tech-stack.md** (Technical Architecture) - Core technologies selected: - Runtime: Node.js + TypeScript - Desktop: Electron (chosen over Tauri) - Voice: OpenAI Whisper API (gpt-4o-transcribe) - Audio: node-record-lpcm16, Web Audio API - System: robotjs, global-hotkey - Architecture layers documented (Presentation → Business Logic → Integration) - Key components identified (6 primary systems) - Dependencies specified (production + dev) - Security considerations outlined #### **roadmap.md** (3-Phase Development Plan) - **Phase 0**: MVP Foundation (✅ Conceptual completion) - **Phase 1**: Production MVP (🎯 Current, 8-12 weeks) - 9 major implementation tasks defined - Speaker diarization included (user request) - Success criteria established - **Phase 2**: User Growth (Q3 2025) - **Phase 3**: Enterprise Features (Q4 2025) - Risk mitigation strategies documented - Decision log initialized #### **environment.md** (Setup & Configuration) - Required variables: OPENAI_API_KEY - Optional variables: 15+ configuration options - First-time setup guide (4 steps) - Development setup instructions - Environment file template - Troubleshooting section (15+ common issues) - Security best practices ### 2. Project Documentation ✅ #### **README.md** (Project Landing Page) - Product overview with visual reference (image.png) - Key features summary - Quick start guide - How it works (user flow) - Documentation navigation - Technology stack summary - Configuration guide - Roadmap highlights - Contributing guidelines - License and acknowledgments ### 3. Context Management ✅ #### **.genie/CONTEXT.md** (Session Continuity) - Project overview documented - User preferences captured (bilingual: PT-BR/EN) - Current phase status (Phase 1) - Technical specifications recorded - Decision log initialized (3 decisions tracked) - Active work summary - Next steps defined #### **.gitignore** (Version Control) - `.genie/CONTEXT.md` added (project-local, per-user) - Environment variables protected - Build outputs excluded - Sensitive data patterns covered ### 4. Directory Structure ✅ ``` speak/ ├── .genie/ │ ├── product/ │ │ ├── mission.md │ │ ├── mission-lite.md │ │ ├── tech-stack.md │ │ ├── roadmap.md │ │ └── environment.md │ ├── wishes/ │ │ └── install-speak/ │ │ └── reports/ │ │ └── done-install-code-20251022.md │ ├── CONTEXT.md (gitignored) │ ├── code/ (from framework) │ └── skills/ (from framework) ├── .gitignore ├── README.md ├── AGENTS.md ├── CLAUDE.md ├── image.png (reference UI) └── whisper.md (API documentation) ``` --- ## Key Discoveries ### 1. Product Analysis - **Application**: Flow-inspired voice dictation app - **Core Value**: Universal Ctrl+Win hotkey for any application - **Technology**: OpenAI Whisper API (gpt-4o-transcribe) - **User Base**: Knowledge workers, content creators, accessibility users - **Competitive Edge**: Open-source, universal compatibility, privacy-focused ### 2. Technical Decisions | Decision | Rationale | Impact | |----------|-----------|--------| | **Electron over Tauri** | Mature ecosystem, better tooling, native integrations | Faster development, extensive resources | | **gpt-4o-transcribe over whisper-1** | Higher quality, streaming support, modern API | Better UX, lower latency option | | **Meeting mode in Phase 1** | User explicitly requested feature | Competitive advantage, expanded scope | | **TypeScript recommended** | Type safety, better DX, ecosystem compatibility | Reduced bugs, improved maintainability | ### 3. Architecture Insights - 3-layer architecture: Presentation → Business Logic → Integration - 6 core components identified (Hotkey Manager, Audio Recorder, Transcription Client, Text Injector, Settings Manager, Statistics Tracker) - Cross-platform support required: Windows 10/11, macOS 12+, Linux (Ubuntu 20.04+) - Audio format standardized: 16kHz mono WAV (optimal for speech) ### 4. Feature Scope - **Phase 1 Core**: 9 major implementation areas - **Phase 1 Enhanced**: Speaker diarization, custom prompting, streaming - **Phase 2+**: Offline mode, voice commands, cloud sync, enterprise features - **Success Metrics**: >95% accuracy, <2s latency, 1000+ users in 6 months --- ## Verification Checklist - ✅ Product documentation complete and coherent - ✅ All required sections present in mission, tech-stack, roadmap, environment - ✅ Context file created and git-ignored - ✅ Cross-references validated (@ references working) - ✅ MCP tools accessible (`mcp__genie__list_agents` tested - 55 agents available) - ✅ Directory structure established - ✅ README.md provides clear entry point - ✅ Technical decisions documented - ✅ Success criteria defined for Phase 1 --- ## Next Steps: Handoff to `code/wish` ### Immediate Actions 1. **Create First Wish**: "Build Speak Phase 1 - Production MVP" 2. **Workflow**: User should invoke `code/wish` agent 3. **Scope**: Break down Phase 1 roadmap into executable wishes 4. **Priority**: Start with "Project Setup" (foundational infrastructure) ### Recommended First Wish Topics 1. **Project Setup & Infrastructure** - Initialize Electron + Node.js project - Configure build pipeline (TypeScript/webpack) - Set up testing framework - Configure Genie Forge integration - Create development documentation 2. **Audio Recording System** - Implement microphone capture - Add Voice Activity Detection - Create recording UI feedback - Handle audio format conversion 3. **OpenAI Integration** - Build API client wrapper - Implement transcription service - Add streaming support - Error handling & retry logic ### Suggested Workflow ```bash # User invokes wish agent genie wish "Project Setup & Infrastructure for Speak Phase 1" # Wish agent will: # 1. Analyze requirements from roadmap.md # 2. Create detailed wish document # 3. Break down into Forge-ready tasks # 4. Hand off to code/forge for execution ``` --- ## Context for Next Agent ### What We Know - **Product**: Speak - universal voice dictation app - **Tech Stack**: Electron + Node.js + OpenAI Whisper API - **Phase**: Phase 1 (Production MVP, 8-12 weeks) - **Status**: Documentation complete, ready for implementation - **User**: Bilingual (PT-BR/EN), prefers clean modular code ### What's Ready - ✅ Complete product vision (mission.md) - ✅ Technical architecture (tech-stack.md) - ✅ 3-phase roadmap with measurable goals - ✅ Environment setup guide - ✅ Project structure initialized - ✅ Context file for session continuity ### What's Needed - 🔲 Codebase implementation (Phase 1 tasks) - 🔲 GitHub repository creation (optional) - 🔲 Initial project setup (package.json, tsconfig, etc.) - 🔲 Development environment validation - 🔲 First working prototype ### Blockers - None identified. All prerequisites complete. --- ## Metrics - **Total Documentation**: 5 product docs + 1 README + 1 context file = 7 files - **Lines of Documentation**: ~1,200 lines - **Time to Complete**: Single session - **Issues Encountered**: None - **Repository State**: Clean, organized, ready for development --- ## Success Confirmation This installation workflow has successfully achieved all goals from `install.md`: 1.**Discovery**: Repository analyzed (fresh repo, domain understood, tech stack identified) 2.**Implementation**: All product docs created, context file initialized, gitignore configured 3.**Verification**: Cross-references validated, MCP tools tested, structure confirmed **Status**: Ready for `code/wish``code/forge``code/review` workflow. --- **Installation Agent**: Base Genie (Claude Code) **Next Recommended Agent**: `code/wish` (for feature breakdown) **Project Status**: 🟢 Ready for Development --- ## Appendix: Files Created 1. `.genie/product/mission.md` (1,843 tokens) 2. `.genie/product/mission-lite.md` (295 tokens) 3. `.genie/product/tech-stack.md` (1,927 tokens) 4. `.genie/product/roadmap.md` (2,134 tokens) 5. `.genie/product/environment.md` (2,518 tokens) 6. `README.md` (1,654 tokens) 7. `.genie/CONTEXT.md` (1,315 tokens) 8. `.gitignore` (412 tokens) 9. `.genie/wishes/install-speak/reports/done-install-code-20251022.md` (this file) **Total Output**: ~12,098 tokens of structured documentation