Independent AI consulting for founders and operators who want agents, LLM workflows, and autonomous systems that actually ship. No agency. No slide decks. Just working software and an honest second brain on the call.
Most "AI consulting" is a deck, a Notion doc, and a handoff. That's not consulting. That's procurement.
Real AI consulting answers three questions for your business, in order:
An AI consultant who stops at question one is selling strategy. A good AI consultant answers all three - and can code the third themselves if needed.
You probably need AI consulting if any of this is true:
Loop design, tool use, planning, self-correction, evaluation. From a first agent to one that can run overnight without blowing up.
Model Context Protocol servers that connect Claude and other models to your real systems. Built, reviewed, or rescued.
Skills, hooks, slash commands, custom harnesses. The canonical surface for autonomous coding agents, done right the first time.
Chunking, embeddings, retrieval eval, production hygiene. Why your RAG hallucinates and how to make it stop.
Offline eval, regression testing, trajectory grading, gold-set discipline. So you know when a prompt change is an upgrade, not a coin flip.
Headless agents, scheduled loops, budget controls, failure routing. Moving from copilot to autopilot without losing the brakes.
I am one person. That's the pitch.
Depending on scope, a typical engagement delivers some combination of:
Different tools for different jobs:
| Situation | Right move |
|---|---|
| You have one hard problem, no AI team, want it solved in weeks. | AI consultant |
| AI is core to the product, you will ship features monthly for years. | Full-time hire |
| You have an AI team but nobody senior; direction is drifting. | Advisory consultant |
| You want a discovery pass before committing to a hire or vendor. | Consultant, short engagement |
| You need 40 hours a week of AI engineering for 12+ months. | Hire. Do not retain a consultant. |
AI consulting is advisory and implementation work that helps a team figure out where AI fits in their business, what to build, how to build it, and how to keep it running. Good AI consulting produces working systems, not slide decks.
Engagements range from a single paid discovery session (a few thousand dollars) to multi-week build engagements (five figures and up). The right shape depends on whether you want strategy, architecture review, or hands-on implementation. Reach out and I will quote the specific problem.
Both. Advisory work is short and outputs direction. Build engagements produce working agents, MCP servers, Claude Code harnesses, or retrieval pipelines running in your environment.
Claude and the Anthropic API, Claude Code, MCP servers, agent frameworks (LangGraph, Claude Agent SDK, CrewAI), vector stores, evaluation tooling, and whatever glue the specific problem needs.
Founders, operators, and engineering leaders at seed-to-series-B companies shipping AI features, plus established businesses exploring where generative AI fits without burning a year of budget learning in public.
Yes, happy to. Most engagements start with one.
Remote by default. On-site for a kickoff or a stuck-point intensive, case-by-case.
That's literally question one of the intro call. If the honest answer is "automation with no AI would be faster and cheaper," I will tell you that. It's saved clients more than AI ever has.
Free. No deck. Just the problem and an honest read.
LinkedIn →Prefer email? See contact.
The definition that shapes every decision downstream.
The Model Context Protocol, the USB-C of AI.
ReAct, planning, reflection, tool use. The shapes that ship.
How to tell whether your prompt change helped.
The definition, minus the hype.
The most valuable page in the agents section.