The AI agent looked great in the demo. Then real users touched it and everything broke. I build the kind that hold up — retrieval grounded in your own data, real tool-use, a human checkpoint on anything uncertain — and I prove it on your use case before you commit.

The difference is the boring, load-bearing work most builders skip: retrieval that stays grounded in your own data with citations, real tool-use where the agent queries your APIs and updates your records, a human checkpoint on anything uncertain before it acts, and an audit trail on every action. Smart routing across Claude, GPT, and Gemini for the right cost and accuracy at each step.

I came up running operations and finance before I built software, so I build the way an operator does: approval gates, audit trails, fallback paths — not a black box you have to hope works.

Before you commit, I build a working slice on your own example and show you the measured result. If it doesn't hold up, you don't proceed.

What's included

Scoping Session and Roadmap — a working session where we pin down the job, the data, the actions the agent takes, and where a human must approve. You leave with a clear build plan and a fixed quote.

The Agent or RAG Build — retrieval grounded in your own data (vector DB with citations), multi-step tool-use that queries your APIs and updates your records, state tracking, and smart routing across Claude, GPT, and Gemini for the right cost and accuracy per step.

Human-in-the-Loop — clean actions run through; anything uncertain is held for a person to approve before it touches anything that matters. Nothing risky happens silently.

Reliability and Audit Trail — timeout handling, fallback paths, and an audit log on every action, so failures stay safe and traceable.

Your Integrations and Deployment — wired into your stack (n8n, your APIs, Slack, your DB) and deployed in your environment. You own all of it. No lock-in.

Pre-Build Demo on Your Use Case — before you pay, I build a working slice on your real example and show you the measured result. If it's not right, you don't proceed.

Handoff and Fix Window — written handoff, a walkthrough, and 7 days of free fixes after delivery.

Who this is for Founders and teams who need an AI agent that does real work in production, with a human checkpoint where it matters — not a chatbot that looks good in a demo and breaks on contact with real users and real data.

How it works

Free 20-min mapping call. You tell me the job and the data; I tell you if I can build it.

I build a working slice on your use case and show you it running, measured.

If you're in, I build it DFY in 1-3 weeks: agent, retrieval, human-in-the-loop, deployment.

Written handoff, walkthrough, and 7-day fix window. Optional monthly run-and-maintain.