About

We make production AI agents stop misbehaving. That is the whole business.

MQ

Moazzam Qureshi

Founder and lead engineer

Production AI agent engineer. Built and shipped agent systems on Claude Agent SDK, OpenAI Agents SDK, LangGraph, and CrewAI for early stage and growth stage teams. Started Fix My Agent in 2026 after watching the same trajectory drift and tool call failures repeat across every production agent he touched.

LinkedIn

Fix My Agent is a boutique production AI agent reliability consultancy. We audit, evaluate, fix, and monitor production AI agents for founders running businesses across every industry. We are not a general AI consultancy, not a dev shop, and not an LLM strategy firm.

The company was founded in 2026 after years of watching the same pattern. A founder ships an agent, it passes offline evals, then breaks silently the moment real users hit it. Planner loops. Tool calls with the wrong arguments. Trajectories that drift quietly week over week. Token spend that climbs without explanation. No way to measure whether the agent is getting better or worse.

Our work is opinionated. Every engagement starts with evaluation, not opinion. We benchmark your agent on task completion rate, tool call accuracy, trajectory match, hallucination rate, latency, and cost per successful task before recommending a single change. Then we fix the three things that move the needle most.

We work with founders who do not write code. You do not need to understand what a planner is or what trajectory evals mean. We translate between your business goals and your engineer’s implementation, or we handle the implementation ourselves.

The free audit is real. Most consultancies use a free call as sales theatre. Ours is a real deliverable. 30-minute discovery call to understand your agent, then within 24 hours a full written report scoring your agent against the 8 Pillar Framework, a Loom walkthrough, and the top 3 fixes. If we are a fit for paid work, the report says so. If not, you keep the audit and ship the fix yourself. No follow-up emails either way.

We cap engagement volume on purpose. The founder personally runs every audit. Not manufactured scarcity. Just a preference for doing a few engagements well over many badly.

What we believe

  • You cannot improve what you cannot measure. Every agent reliability problem starts with the absence of trajectory evals. Fix that, and everything else gets easier.
  • Specificity beats sophistication. A hand tuned planner with explicit failure mode examples beats a fancy multi agent architecture every time.
  • Cost is a reliability metric. Most teams treat tokens as a finance problem. We treat them as a signal. Runaway cost almost always means runaway retries on broken trajectories.
  • Give away the what. Sell the who. Our methodology is on the website. Our checklist is free. People hire us for execution, not secrets.

Want to see how this works on your agent.