✨ AI Management Platform for Builders

Stop fighting with AI agents.
Start managing them.

Transform from solo builder to AI manager with enterprise-grade discipline. FRAIM turns chaotic AI work into production-ready results—whether you're a founder or academic racing to MVP, a developer shipping features, or a team scaling fast. Dramatically faster delivery, significantly less rework.

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Faster Delivery Speed

Less Rework

Zero Agent Conflicts

FRAIM AI Manager

$ fraim setup

✅ AI management rules installed

✅ Workflows configured

✅ Agents ready for orchestration

$ Agent: "Implementation complete. 47/47 tests pass, evidence provided."

The Problem with AI Development Today

AI development today is like having brilliant but inexperienced developers with no management structure

❌

Before FRAIM: Chaos

"Implementation complete. Solution looks good."

"I get an error on the first screen."

"What error do you see? Can you write it out for me?"

"C'mon, do this yourself. You've made no progress in 3 hours!"

🔥 "Looks good" syndrome

🔥 Quality lottery

🔥 Agent conflicts

🔥 No learning

✅

After FRAIM: Excellence

"Implementation complete. Code written, tests created, all tests passing."

Evidence provided:

✓ Test output: 47/47 tests pass

✓ API tested with curl

✓ UI screenshots attached

✓ Performance benchmarks met

✨ Evidence-based validation

✨ Structured workflows

✨ Phase-based coordination

✨ Continuous learning

What is FRAIM?

People often ask: Is it a methodology? Framework? Principles? Product?
The answer: It's all four.

Methodology: How You Manage AI Teams

A structured approach to managing AI agents like you'd manage human developers. Just as you wouldn't hire brilliant MIT grads and let them run wild, you shouldn't let AI agents work without structure. Think of it like Agile or Scrum, but for AI teams.

Framework: What You Get Out of the Box

Battle-tested components you can use immediately: 50+ pre-built jobs, 100+ reusable skills, proven rules, and templates. You don't start from scratch. You start with what works.

Principles: The RIGOR Philosophy

Reviews with evidence • Isolation between phases • GitOps as truth • Observability of agents • Retrospectives for learning

Product: The Implementation

An npm package + AI Mentor system that brings it all together. Works with any AI agent (Claude, Cursor, Windsurf, GPT). Zero vendor lock-in.

The Core: Jobs, Skills, and Rules

📋

Jobs

Multi-phase work units like "feature-implementation" or "customer-discovery"

⚡

Skills

Reusable capabilities like "evidence-evaluation" or "spike-first-development"

📏

Rules

Team standards like "mandatory-pre-completion-reflection" or "git-safe-commands"

Enterprise-Grade AI Management

The same discipline you'd apply to human developers, applied to AI agents

🚀

Full Product Lifecycle

End-to-end workflows from ideation to market launch and beyond

Strategy → Design → Build → Test → Launch → Marketing → Scale

🛡️

Agent Integrity

Mandatory evidence collection prevents "fake it till you make it" syndrome

Evidence: Test output showing 47/47 tests pass

🧪

Comprehensive Testing

Multi-layer validation with real systems, not just mocks

Database ✓ API ✓ UI ✓ Integration ✓

🎯

Spike-First Development

5-15 minute proof-of-concepts before major implementation

10-minute spike → validate → build confidently

🧠

Complete Product Knowledge

Agents onboarded with your industry, compliance, templates, and company-specific context

Your context → Agent knowledge → Better outcomes

🔄

Continuous Learning

Retrospective-driven knowledge capture and pattern recognition

Knowledge accumulates → patterns emerge → quality improves

🏗️

Architectural Discipline

Clean separation of concerns with proper boundaries

Clean layers → proper boundaries → validation

🔧

Git Safety

Timeout management and safe commands prevent agent hangs

Non-interactive commands → timeouts → log visibility

How FRAIM Works

Transform from builder to AI manager in 4 simple steps

Onboard (60 seconds)

Install FRAIM and configure your AI management rules

npm install -g fraim-framework
fraim setup

Delegate

Assign AI agents to structured workflows across the full product lifecycle

Strategy → Customer Research → Design → Build → Test → Launch → Marketing

Manage

Continuous improvement through retrospectives, feedback, and learning cycles

Retrospect → Feedback → Improve → Repeat

Improve

Don't just ship one-off tasks. Refine jobs, skills, and the systems behind them. Make your AI employees better while improving your AI management.

Grow your FRAIM Brain

FRAIM Brain preview showing jobs outside the brain and skills illuminated across internal regions

Proven Results

Real metrics from production deployments

Major

Reduction in rework

Evidence-based validation prevents broken code

Dramatic

Faster delivery

Structured workflows eliminate back-and-forth

Complete

Test coverage

Mandatory testing guidelines ensure quality

Zero

Agent conflicts

Phase-based coordination prevents chaos

"FRAIM transformed our AI development from chaos to production-ready code. We went from 3 hours of debugging to 30 minutes of structured development."

— Development Team Lead

Frequently Asked Questions

How is this different from just using AI tools?

FRAIM provides the management layer that's missing from AI tools. It's the difference between having brilliant but inexperienced developers and having a structured team with clear processes, quality gates, and accountability.

What AI agents does FRAIM work with?

FRAIM works with any AI agent - Cursor, Claude, Windsurf, GPT, and future agents. There's zero vendor lock-in. The framework provides the management discipline regardless of which AI you use.

How quickly can I see results?

Most teams see immediate improvements in code quality and reduced rework within the first week. Full productivity gains (3-10x) typically manifest within 2-4 weeks as teams adapt to the structured workflows.

Is there a free trial?

Yes! FRAIM offers a 14-day free trial on the Self-Serve plan. See the Pricing page for details.

What if my team is already productive with AI?

Even high-performing AI teams benefit from FRAIM's structured approach. The evidence-based validation, phase coordination, and continuous learning systems typically add 2-3x improvement even for teams already seeing good results.

Stop fighting with AI agents. Start managing them.