I help founders ship AI products that actually feel like products.

Rapid prototyping

I take a fuzzy idea and turn it into a working product in weeks, not quarters. You get something real to put in front of customers, investors, or your team. For founders who need to validate fast and stop arguing in slides.

Agentic platform builds

I design and ship production agentic systems on a boilerplate I built and battle-test on every contract. Memory, planning, multi-agent orchestration, evals, self-healing pipelines. For companies betting on AI as the product, not a feature.

AI for operations and process

I bring process engineering rigor to AI automation. Find the bottleneck, model the failure modes, build the agent that fixes it. For operators who want fewer slides and more output.

Speed without rigor is just expensive demos. Rigor without speed is a slide deck. I do both.

Every project I take on rides on the same foundation: an agentic boilerplate I built and refine every week. The generic infrastructure stays separate from the domain logic, so new verticals ship in days, not months. Skills, agents, and workflows live in markdown files. Context loads only when it's needed.

If you have been burned by AI consultants who could demo but not deploy, you will recognize the difference quickly.

A few principles I will not bend on:

• Ship something real every week. No 12-week roadmaps before the first user touches anything.
• Process before prompt. I model the failure modes first, then design the agent that prevents them.
• Domain expertise is the moat. Code is commodity. What sticks is the encoded judgment: the playbooks, workflows, and taste behind the agent.
• Boring foundations, fast iteration. The infrastructure should be stable and predictable so the user-facing product can change weekly.