with Turbo Cat 😽

FREE FOR ALL DEVS 🆓 • Growing Fast 📈 • TURBO-CAT Powered 😽

Project DNA ✨ for ANY AI • Instant Context • Zero Faff™

Website • GitHub • Community • npm

AI-Context: Avg. 0-55% kills projects 💀 .faf 85-99% AI totally gets it ✨

# Install via npm (works everywhere)
npm install -g faf-cli

# Or via Homebrew (macOS/Linux)
brew install faf-cli

One line. Zero config. Championship context. 🏁

The biggest release yet:

• 🆓 FREE FOREVER .faf Core-Engine - 41 championship commands, always free, open source, MIT License
• 💨 TURBO Model Introduced - Like VS Code + Copilot, Spotify Free + Premium, Zoom Basic + Pro
• 😽 TURBO-CAT™ Format Discovery - Introduced in v2.0.0, now purring at full power in v3.0.0 - 153 validated formats organized in a perfect pyramid
• 🧬 Birth DNA Lifecycle - Track your project's evolution from birth to championship
• 🏆 7-Tier Championship Scoring - 🏆 🥇 🥈 🥉 🟢 🟡 🔴 🤍 - From Lonely Heart to Podium Champion
• ⚖️ AI | HUMAN Balance - 50|50 system = Optimal Context for championship performance
• 🔗 Context-Mirroring w/Bi-Sync - Bidirectional .faf ↔ CLAUDE.md synchronization
• ⚡ Championship Speed - 8ms bi-sync, <50ms all commands, 18ms avg, 0ms operations achieved
• 🏁 WJTTC GOLD Certified - 1,000+ comprehensive tests, unique test suite
• 🤖 BIG-3 AI Validation - Verified by Google Gemini, Anthropic Claude, OpenAI Codex
• 🌐 Universal AI Support - Claude Code, OpenAI Codex CLI, Gemini CLI, Cursor, Warp, Copilot, Windsurf, ALL AI coding assistants
• 🤖 AI-Automation Ready - Reads n8n workflows, OpenAI Builder schemas, Google Opal, Make.com - Project DNA for automation platforms

Google Gemini CLI

"README evolution for AI era"

— 9.5/10 Rating during verified testing

Claude Code (Anthropic)

"Should become the standard"

— 9.5/10 Rating during verified testing

OpenAI Codex CLI

"Every project should have one"

— 9/10 Rating during verified testing

— .faf Inventor

"package.json wasn't built for this, .faf was"

— Claude Code (Anthropic)

"package.json gives me a list of dependencies, .faf shows me how to use them"

— Claude

"It's so logical if it didn't exist, AI would have built it itself"

100% verified. Real AI responses. Not marketing copy.

The Rapid Catalytic Converter - Now Purring at Full Power

Introduced in v2.0.0, TURBO-CAT reaches full championship form in v3.0.0. This format discovery engine knows 153 validated formats organized in a perfect pyramid structure. From .faf at the apex to infrastructure configs at the base, it rapidly converts raw project formats into AI-ready intelligence at championship speed.

Like a catalytic converter in an exhaust system, TURBO-CAT transforms digital waste into clean, usable output. Now fully unleashed and purring. 😽💨

faf formats

😽 TURBO-CAT™ v3.0.0 - Now Purring at Full Power
   (Introduced v2.0.0, Perfected v3.0.0)
═══════════════════════════════════

⚡️ Scanning project...

✅ Found 10 formats in 68ms!

📋 Discovered Formats (A-Z):
  ✅ package.json
  ✅ tsconfig.json
  ✅ Dockerfile
  ✅ .github/workflows
  ✅ jest.config.js
  ... and 5 more

💡 Stack Signature: typescript
🏆 Intelligence Score: 225

────────────────────────────────────────
😽 TURBO-CAT™: "Detection that'll make your stack PURRR!"
────────────────────────────────────────

The Pyramid: 153 formats across 17 levels. Each level unlocks new intelligence. TURBO reveals what TURBO-CAT really knows... 🤫

npm install -g faf-cli

Learn more: faf.one/turbo

TURBO: Where automation platforms (n8n, Make, Opal) get championship AI context. Foundational first, universal by default.

# Install
npm install -g faf-cli

# Initialize in any project
cd your-project
faf init

# Auto-detect and enhance
faf auto

# Check your AI readiness
faf score

# Discover your stack's formats
faf formats

# Sync with CLAUDE.md
faf bi-sync

That's it! Your AI now has perfect context. 🏁

The AI that built FAF scored it at 12% without .faf.

We created this tool together across thousands of conversations. Yet without project DNA, even Claude couldn't recognize its own work. That's the problem FAF solves.

Context Score: 12% — Even the AI that built it couldn't recognize it

faf init — One command. Zero configuration. Project DNA created.

Context Score: 89% — Instant comprehension. Persistent memory.

+77% improvement in 344ms. That's what project DNA does for ANY AI, ANY project.

.faf = Project DNA ✨ for AI

Universal, shareable AI context that works with Claude Code, OpenAI Codex CLI, Gemini CLI, Cursor - regardless of your stack, size, or setup.

At 99% context quality, AI knows exactly what you're building and helps at optimal levels—trusted decisions, accurate suggestions, championship performance.

At 55% context quality, you're flipping a coin on every decision. It's like handing a builder only half a blueprint and discussing it in a totally foreign language.

FAF's Professional 0→99% Podium Scoring System makes context collection measurable, fun, and championship-grade. Track your project's evolution from 🤍 Heart (0%) to 🏆 Trophy (100%).

This isn't about saving 20 minutes at setup.

Running projects on LOW AI context leads to:

• ❌ Project death (worst case)
• ❌ Delays, costs, stress, heartache, disappointment
• ❌ Wasted time, resources, and money
• ❌ Poor outcomes for stakeholders and users
• ❌ Burnout from constant re-explaining

It's not a one-time config. It's a relationship.

A healthy Human + AI collaboration requires high-quality, persistent context. Without it, every interaction is a gamble. Every decision is questionable. Every suggestion needs verification.

Ignoring poor context on your project is like not brushing your child's teeth.

You're gonna end up with a CAVITY.

• ✅ Championship context (85-99% quality scores)
• ✅ Persistent intelligence - AI remembers your project perfectly
• ✅ Seamless collaboration - Human + AI working together optimally
• ✅ Project health monitoring - Track context quality over time
• ✅ Works with every AI - Claude Code, OpenAI Codex CLI, Gemini CLI, Cursor, all of them
• ✅ Team alignment - Everyone (human AND AI) on the same page

faf auto        # ONE COMMAND TO RULE THEM ALL - Zero to Championship
faf init        # Create .faf from your project
faf enhance     # Real AI analysis & improvements
faf analyze     # Claude-first intelligence

faf formats     # 153 formats across 17-level pyramid
faf stacks      # Technology stack signatures
faf vibe        # Detect development platform

faf dna         # Show evolution journey (12% → 89% → 99%)
faf log         # Complete evolution history
faf update      # Save checkpoint
faf recover     # Disaster recovery
faf auth        # Birth certificate authentication

faf score       # Rate completeness (0-100%)
faf trust       # Unified trust dashboard
faf credit      # Technical credit dashboard
faf check       # Comprehensive validation
faf validate    # Structure validation
faf audit       # Freshness check

faf chat        # Natural language generation (terminal only)
faf quick       # One-liner instant context

faf verify      # Test with Claude Code, OpenAI Codex CLI, Gemini CLI
faf doctor      # Diagnose & fix issues
faf search      # Content search with highlighting

faf bi-sync     # Bidirectional .faf ↔ CLAUDE.md (8ms!)
faf sync        # Dependency updates
faf tsa         # Inspect dependencies

faf edit        # Interactive editor
faf convert     # YAML to Markdown/Text
faf to-txt      # Quick text conversion
faf share       # Secure sharing with auto-sanitization

faf show        # Display stats
faf status      # Quick health status
faf version     # Show version (with ASCII art!)
faf index       # Universal A-Z reference
faf faq         # Frequently asked questions
faf welcome     # Welcome guide

faf clear       # Clear caches & reset state
faf todo        # Claude-inspired todo system
faf analytics   # Usage analytics & telemetry
faf notifications # Email notifications
faf lint        # Fix formatting issues

Run faf --help for complete command reference

FAF v3.0.3 fully supports Claude Code, Warp, Cursor, Copilot, Windsurf, OpenAI Codex CLI, Gemini CLI and ALL AI coding assistants.

PLUS AI-Automation platforms: n8n, OpenAI Builder, Google Opal, Make.com

faf init        # Create .faf file
faf auto        # Auto-enhance context
faf enhance     # Improve programmatically
faf score       # Check readiness
faf bi-sync     # Sync .faf ↔ CLAUDE.md
faf formats     # Format discovery

faf chat        # Requires interactive terminal
faf             # Interactive menu (use faf auto instead)

Why? Interactive commands use inquirer for beautiful CLI menus. These work in regular terminals but AI assistants can't forward keyboard input. This is expected behavior.

Solution: Use faf auto - it's designed for AI assistants! ⚡

Track your project's AI-readiness with F1-inspired tiers:

🏆 Trophy (100%)    - Championship - Perfect 50|50 AI|HUMAN balance
🥇 Gold (99%)       - Gold standard
🥈 Silver (95-98%)  - Excellence
🥉 Bronze (85-94%)  - Production ready
🟢 Green (70-84%)   - Good foundation
🟡 Yellow (55-69%)  - Getting there
🔴 Red (0-54%)      - Needs attention
🤍 Heart 0%         - Starting Good Luck!

Live output:

faf score

🥉 Score: 89/100
█████████████████████░░░ 89%
Status: Bronze - Production Ready

Next milestone: 95% 🥈 Silver (6 points to go!)

🏎️  FAF Championship Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Initial DNA: 12% (born 2025-10-03)
Growth: +77% over 4 days
Next Milestone: 95% 🥈 Silver (6% to go!)

NEW in v3.0.0: Track the perfect balance between AI-readable and human-readable content.

AI 50% | HUMAN 50% — Working toward optimal context

⚖️ PERFECT BALANCE! — When you hit exactly 50|50, the balance bar turns GREEN 💚 signaling championship-level context optimization. This is the sweet spot where AI and human readers both get exactly what they need.

PRD Balance = Production-Ready Balance 🏆

# Quick setup for new project
faf quick "my-app, react, typescript, vercel"

# Auto-detect existing project
faf auto

# Discover your formats
faf formats

# Check score with details
faf score --details

# Bidirectional sync with CLAUDE.md
faf bi-sync

# Track your evolution
faf dna
faf log

# Fix issues
faf doctor

# Optimize scoring
faf enhance

# Quiet mode (for AI assistants)
faf init -q
faf auto -q

Version:       3.0.3 - Championship Edition
Performance:   <50ms all commands, 18ms avg, 8ms bi-sync, 0ms operations achieved
Engine:        FAF-Engine-Mk3
TURBO-CAT:     v3.0.0 - Full Power (Introduced v2.0.0, 153 validated formats)
TypeScript:    100% strict mode
Dependencies:  2 (inquirer, yaml)
Testing:       WJTTC GOLD Certified (12,500+ test iterations)
Certification: https://faf.one/wjttc
Platform:      Mac, Linux, Windows
AI Support:    Universal - Claude Code, OpenAI Codex CLI, Gemini CLI, Cursor, Warp, Copilot, Windsurf, ALL AI coding assistants
Automation:    n8n workflows, OpenAI Builder, Google Opal, Make.com - AI-Automation platforms

.faf is pre-indexed intelligence. Do the work once, use it forever.

.faf is RAG's output—captured once, reused infinitely. Championship efficiency.

Every source follows the same pattern:

interrogation → extraction → filtering → generation → .faf

In FREE CLI: Code projects → .faf (all languages, frameworks, stacks)

In TURBO: Automation platforms → .faf (n8n, OpenAI Assistants, Opal, Make.com)

Same pattern. Same output. Universal by design.

FAF CLI v3.0.3 is WJTTC GOLD Certified - tested to F1-grade standards.

WolfeJam Technical & Testing Center - F1-inspired testing methodology ensuring championship-grade reliability.

Battle-tested with 12,500+ test iterations across 5 testing tiers:

• ✅ BIG-3 AI Validation (11,200 iterations - Claude, ChatGPT/Codex, Gemini)
• ✅ 287 Automated Tests (191 Jest unit + 66 Championship Safety + 30 YOLO torture)
• ✅ 730 Empirical C.O.R.E Tests (100% MCP protocol compliance)
• ✅ 301 Context-On-Demand Tests (Torture testing, edge cases, stress scenarios)
• ✅ 35+ Test Documents (Comprehensive validation reports)

Performance Validated:

• ⚡ 0ms operations achieved (unmeasurable speed!)
• ⚡ 8ms bi-sync verified (championship speed)
• ⚡ Sub-10ms for 68% of all operations

Safety Tested:

• 🛡️ 7 production-breaking bugs fixed before release
• 🛡️ 3 security vulnerabilities patched proactively
• 🛡️ Zero critical failures in production systems

Platform Verified:

• ✅ Mac, Linux, Windows
• ✅ Claude Code, Cursor, AI Assistants
• ✅ Big-3 AI Compatible (Claude Code, OpenAI Codex CLI, Gemini CLI)

Keep .faf (structured data) and CLAUDE.md (human-readable) in perfect sync automatically.

• As fast as 8ms (typical 10-15ms, 95% under 50ms)
• Bidirectional: .faf ↔ CLAUDE.md
• Zero-slippage: Atomic file operations design
• Cross-platform: Mac + Windows verified
• Universal: Works with any Tool.md format

🔗 C-MIRROR LIVE
━━━━━━━━━━━━━━━━━━━━━━━━━
├─ Syncing ← claude-to-faf...
├─ ██░░░░░░░░░░░░░░░░░░░░░░ 10% - Parsing CLAUDE.md...
├─ █████████░░░░░░░░░░░░░░░ 40% - Merging updates...
├─ ████████████████░░░░░░░░ 70% - Updating metadata...
├─ █████████████████████░░░ 90% - Generating YAML...
└─ 🎉 Synchronized in 8ms 🏎️⚡️

✅ Integrity: PERFECT
💎 Technical Credit +1

• 🩵 faf-cli - This command-line tool (FREE FOREVER)
• 🧡 claude-faf-mcp - MCP server for Claude Desktop
• 💚 faf.one - Documentation & guides
• 🖥️ Chrome Extension - Browser integration
• 💨 FAF TURBO - Premium features - Launched 😸

# Clone
git clone https://github.com/Wolfe-Jam/faf-cli.git
cd faf-cli

# Install & Build
npm install
npm run build

# Test
npm test

# Link locally
npm link

• Node.js 18+
• OS: macOS, Linux, or Windows
• AI Tools: Works with Claude, Codex, Gemini, Cursor, Warp etc.

We welcome contributions! Join our community discussions or submit issues/PRs.

Join our growing community using .faf to accelerate their AI workflows:

• Share your projects
• Get help from the community
• Request features
• Learn best practices

Position your brand alongside the universal AI context standard.

FAF CLI is defining a new category: Universal AI Context Infrastructure. With BIG-3 AI validation (Google, Anthropic, OpenAI) and adoption by leading AI development tools, FAF is becoming foundational infrastructure for the AI development ecosystem.

• Rapid adoption - See live stats on npm
• Category leader - First universal AI context standard
• Enterprise traction - Infrastructure-level adoption
• BIG-3 validated - Tested and endorsed by Google Gemini, Anthropic Claude, OpenAI Codex

Infrastructure Sponsor - Align your brand with foundational AI developer tooling Category Leadership - Be recognized as supporting the universal AI context standard Enterprise Integration - Deep integrations with your platform

Target sponsors: Companies building AI development tools, deployment platforms, terminals, IDEs, and AI infrastructure.

Examples: Vercel, Warp, Anthropic, Cursor, Windsurf, n8n, and other AI-first platforms.

💼 Enterprise Sponsorship Inquiry - Strategic partnerships for category-defining infrastructure

FAF CLI is FREE FOREVER and open source (MIT). Sponsorship accelerates development, expands integrations, and positions your brand alongside the future of AI development.

MIT License - See LICENSE file

Category-defining. Format-first development. Foundational.

AI's biggest issue addressed head-on. Agnostic. Universal.

AI has Claude/tool.md - they need .faf to be Universal.

AI needed a README, its package.json - it got one.

Copy cats? Why bother.

Build your best, let's RACE 🏁

See you at the Track! 🏎️⚡️