@namastexlabs/speak
Version:
Open source voice dictation for everyone
283 lines (224 loc) • 9.45 kB
Markdown
# 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