World’s first comprehensive evaluation, observability and optimization platform to help enterprises achieve 99% accuracy in AI applications across software and hardware.
This is the 4th launch from Future AGI. View more
Fix My Agent (FMA)
Launching today
Diagnose → Fix → Compare → Ship
When AI agents fail in prod, debugging is manual and slow. Evals show what broke, but not why or how to fix it. Teams spend weeks on root causes, testing prompts sequentially, swapping models & configs one at a time.
Fix My Agent auto-detects why your AI agents fail (system + prompt level), suggests fixes, lets you implement in one click, compare results parallely, and ship the best version. Get the most optimized agent in minutes, not weeks.
Free
Launch Team
Future AGI
Hey everyone 👋
I'm Nikhil, Founder of Future AGI. Excited to launch Fix My Agent for voice ai and chat agent builders.
Quick context on why we built this:
Debugging AI agents is painful. But here's what's worse- even when you know what's broken, implementing fixes is a grind. You tweak prompts, adjust configs, swap models, re-test. Fix one thing, break another. Weeks pass. AI teams still cannot answer- Why the agent is failing… and what should we change first?
All this because there’s no reliable bridge from “agent failed” → “here’s the fix (and proof)”.
We didn't want to build another tool that just shows you what's wrong. We wanted a system that diagnoses, fixes, and validates - automatically. That’s the gap FixMyAgent is built to close.
How it helps?
If you’re building support agents for booking, claims, onboarding, sales, fintech workflows or anywhere an agent has to survive real users and messy conversations, FixMyAgent helps you diagnose root causes automatically, generating targeted fixes (system + prompt level). Test in parallel. Ship with confidence.
Under the hood (the tech behind)-
It simulates thousands of real-world scenarios for your agent.
Run domain-specific evals (via our Turing model) to pinpoint where the agentic flow breaks,
Iterates automatically - test → fix → evaluate, until the eval scores meet the bar you set.
You stay in control: review diffs, compare outcomes, and ship what you trust.
Reducing weeks of debugging to a few hours. Been testing this in beta, now live for all.
Why we’re confident it works (IMPACT metrics)
Internally, we’ve analyzed 500+ agent optimization sessions.
What used to take teams 15+ hours of manual diagnosis now takes minutes, and what used to be weeks of one-by-one testing becomes a parallel run you can review and ship in a few hours.
A few things we cared about (a lot)
Works with any LLM (OpenAI / Anthropic / open-source)
Works with any framework (LangChain / LlamaIndex / CrewAI / custom)
Suggests prompt + infra fixes and auto-implement fixes at prompt level
You can see diff-based changes + projected improvement before shipping
Built for: AI/ML engineers, Prompt engineers & AI Product managers shipping voice and chat agents
If you’re building agents, I’d genuinely love your blunt feedback:
What part of the fix loop hurts most for you today? Diagnosis? Choosing the lever? Proving the improvement?
Try FixMyAgent today →
Colab | Docs | Try for free
Appreciate the upvote, but even more, the real feedback. 🙏
Future AGI
We’ve been using this internally for a while, and it’s been the most reliable way we’ve found to fix agents without accidentally breaking other parts.
Future AGI
now optimizing your agents is a matter of minutes!
Future AGI
The parallel trials are the real unlock.....you can test a bunch of fixes side-by-side and pick the winner.
Future AGI
We have the full package, Generate, Simulate, Evaluate and Optimize. This is one of the key feature we launched to help optimize your agents.
Agent debugging shouldn’t be trial-and-error anymore.
This turns intuition into measurable fixes you can actually trust.
Worked on the optimisation side of Fix My Agent — transforming simulation metrics into targeted fixes so your AI agents improve automatically rather than by trial-and-error. Really excited to see how folks use it!