grimlock/STATUS.md

Grimlock MVP - Complete ✅

Repository: https://gittea.979labs.com/amitis55/grimlock
Status: Working MVP Ready to Test
Date: February 12, 2026

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What's Built

✅ Core Backend (Fully Functional)

• FastAPI Server - RESTful API with health checks
• AI Client - Anthropic Claude integration (Sonnet 4.5)
• Context Manager - Loads company knowledge from markdown files
• Chat API - Both regular and streaming chat endpoints
• Role-Based Responses - Different responses for engineer/BD/admin/exec

✅ Deployment Options

• CLI Tool (cli.py) - Interactive command-line interface
• Docker Compose - Production-ready containerized deployment
• Manual Setup - Direct Python execution

✅ Documentation

• README.md - Product vision and overview
• VISION.md - Strategy, market analysis, business model
• ROADMAP.md - Development timeline
• QUICKSTART.md - Setup instructions

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How to Use Right Now

Option 1: Quick Test (5 minutes)

cd grimlock
cp backend/.env.example backend/.env
# Add your ANTHROPIC_API_KEY to backend/.env

pip install -r backend/requirements.txt
python cli.py

Option 2: Run Server

cd grimlock/backend
cp .env.example .env
# Add your ANTHROPIC_API_KEY

pip install -r requirements.txt
uvicorn main:app --reload

Access at: http://localhost:8000

Option 3: Docker

cd grimlock
cp backend/.env.example backend/.env
# Add your ANTHROPIC_API_KEY

docker-compose up -d

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What Works

✅ Chat with Grimlock via CLI
✅ Chat with Grimlock via API
✅ Streaming responses
✅ Context loading (projects, patterns, anti-patterns, cost models)
✅ Role-based responses (engineer, BD, admin, exec)
✅ Health checks and logging

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What to Add Next

Immediate (This Week)

1. Vector Zulu Context - Add UTILEN and Vector Zulu platform summaries
2. Test with Team - Get feedback from Vector Zulu employees
3. Reference Architectures - Add multi-tenant SaaS, distributed infra patterns

Short Term (Next 2 Weeks)

1. Web Interface - React/Next.js frontend
2. Git Connector - Read-only access to repositories
3. Document Generation - PDF/Markdown generation

Medium Term (Month 2)

1. More Connectors - Databases, file storage, calendars
2. Artifact Generation - Spreadsheets, presentations
3. User Authentication - SSO, role management

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File Structure

grimlock/
├── README.md                    # Product overview
├── VISION.md                    # Strategy and business model
├── ROADMAP.md                   # Development timeline
├── QUICKSTART.md                # Setup instructions
├── cli.py                       # CLI tool
├── docker-compose.yml           # Docker deployment
├── backend/
│   ├── main.py                  # FastAPI application
│   ├── requirements.txt         # Python dependencies
│   ├── .env.example             # Environment template
│   ├── api/
│   │   └── chat.py              # Chat endpoints
│   ├── core/
│   │   ├── ai_client.py         # Claude API client
│   │   └── context_manager.py  # Context loader
│   └── context/
│       ├── projects/            # Project summaries
│       ├── patterns/            # Reference architectures
│       ├── anti_patterns/       # Things to avoid
│       └── cost_models/         # Pricing and estimates
├── docker/
│   └── Dockerfile.backend       # Backend container
└── frontend/                    # (Coming soon)

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Key Design Decisions

AI Model: Claude Sonnet 4.5 (fast, cost-effective for MVP)
Backend: FastAPI (proven with UTILEN, async, fast)
Context: Markdown files (simple, git-friendly, no database needed)
Deployment: Docker-first (self-hosted strategy)
Authentication: Not yet implemented (add in week 2-3)

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Cost Estimates (Current Usage)

Development:

• API costs: ~$5-10/day during active development
• No hosting costs (self-hosted)

Production (per user):

• Assuming 20 queries/day per user
• ~$0.10-0.20 per user per day
• ~$3-6 per user per month in AI costs

This validates the $50-150/user/month pricing model (10-50x margin on AI costs)

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Next Session Plan

1. Add Vector Zulu context to backend/context/

   • UTILEN project summary
   • Vector Zulu platform summary
   • Blockchain project overview
   • Multi-tenant SaaS pattern
   • Distributed infrastructure pattern

2. Test with real queries

   • "What is UTILEN?"
   • "How should I build a document management system?"
   • "What's our cyber range architecture?"
   • "Generate a cost estimate for 50-node deployment"

3. Start frontend (if time) or build more connectors

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Success Criteria

MVP is successful when:

• ✅ Backend runs without errors
• ✅ Can chat via CLI
• ✅ Can chat via API
• ✅ Context loads correctly
• ⏳ Vector Zulu team uses it daily
• ⏳ Saves team 2+ hours per week

Product is ready for beta when:

• ⏳ Web interface functional
• ⏳ 3+ connectors working (git, database, files)
• ⏳ Document/artifact generation
• ⏳ Multi-user support
• ⏳ Usage analytics

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Notes for Next Developer/Session

Important files:

• backend/main.py - Entry point
• backend/core/context_manager.py - Add context logic here
• backend/api/chat.py - Main chat endpoint

To add context:

1. Put markdown files in backend/context/projects/
2. Restart server - context auto-loads
3. Ask Grimlock about the content

To add a new endpoint:

1. Create router in backend/api/
2. Add to main.py with app.include_router()

To deploy:

• Dev: python backend/main.py
• Prod: docker-compose up -d

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Status: Working MVP ✅
Next: Add Vector Zulu context and test with team
Timeline: Week 1 complete, Week 2 starting

Repository: https://gittea.979labs.com/amitis55/grimlock

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Built in one session with Claude.
Ready to transform how Vector Zulu operates. 🚀