adam hevenor
AI, search, and agentic engineering consulting.
I help CTOs turn their engineering org into a technical staff that directs agents toward outcomes. Recent work: 500M clinical-note chunks, in production.
consulting case study
Trio Health builds custom datasets for highly specific rare diseases. How we designed an agentic search system capable of extracting meaningful insight from billions of clinical patient notes.
no decks
I don't pitch with a slide deck. When we talk about working together, I send a proposal you can actually interrogate — an agent that's read your context and the work I'm proposing, and answers your team in my voice. Hire me and it stays: every engagement keeps its agent as the leave-behind, fed by everything we produce.
training
Cohort courses and team trainings for leaders and builders who need practical AI engineering fluency. The flagship: Make Your Product Agent-Ready, a 3-week cohort. Build an Agent course launching September.
June 25 — free lightning lesson on Maven: Three Patterns for Better Agentic Search -> co-hosted with Doug Turnbull & Trey Grainger (AI-Powered Search)
The practice funds focused search-infrastructure R&D, shipped under the hev brand.
First entry in a series on the search tech I actually reach for. TopK gets the 2026 architecture right — multi-vector late interaction, object-store-native plus NVMe, LSN read-after-write consistency, and Postgres-compatible SQL. Not enterprise-ready yet, and I say where.
I haven't reviewed a line of code in over a decade — not because I can't read it, but because I learned in 2008 that trust comes from outcomes, not from meddling in output. That's the same lesson every engineer handing work to an agent is about to learn.
Racing is the ultimate expression of engineering, and the privateers — people building their own agent harnesses and competing at the frontier — are where the real innovation in AI is happening in 2026. A field guide, from F1 and downhill MTB to Geoffrey Huntley, OpenClaw, and Pi.
Doug Turnbull's Cheat at Search course inspired me to build hev ask — agentic Q&A search for Astro docs sites. No vector DB, a committed digest Claude builds offline, and a constrained four-tool-call agent loop at query time.