Workshops

A hands-on half day with your team: operating an agent factory, evals from zero, KPIs that drive behavior, or one shared vocabulary across your leadership. Your team leaves with something working.

Research Plan

A hosted plan for the question you're actually trying to answer — what to learn, from whom, in what order, and what would change your mind. Your team marks progress against it and interrogates it with an agent.

Research Program

The plan, and I run it. Six interviews with people who can answer the question, then the insight analysis: what the market said, where it contradicts your roadmap, and what to do about that.

Search & Retrieval POV

A proof of value on your own corpus. Evals first, so "better" is a number you can defend, then hybrid, reranking, chunking, and the vector database call, argued from your data. You keep the eval set and the system.

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Fractional CTO

I run a factory on your codebase. Agents do the volume, I own the review gate. Around that: architecture, vendor selection, hiring judgment, and delivery rhythm.

Hourly

Data engineering, ML, and strategy work billed by the hour — for a bounded problem, a second opinion, or ad-hoc help when you don't need a standing engagement.

Every proposal ships an agent.

I don't pitch with a slide deck. When we talk about working together, you get an agent that has read your context and the work I'm proposing and answers your team in my voice — so you can interrogate the plan before you commit. Engagements keep theirs, fed by everything we produce.

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