AI's missing context: teaching agents to navigate your messy go-to-market systems
A podcast conversation on getting AI agents to work inside real GTM systems, messy data and all: what context they need, where it lives, and who has to write it down.
Speaking
On the record.
I speak and run workshops on building AI into GTM in a way that holds up: foundations first, calibration over hype. People leave able to tell the difference between AI worth building and AI worth skipping.
Most recently on the RevOps Hero podcast, and on stage at Demand & Expand 2026 in San Francisco.
Workshops run a half or full day with your team: an honest read on where you are, what's worth building, and a plan you can act on Monday.
Past appearances
Winning the race: building a high velocity GTM engine with Claude Code
A walk through building a high-velocity GTM engine with Claude Code: the context layer, the data scripts, and the agentic workflows that let a small team move like a big one.
Breaking the cookie jar: Reducing cookie reliance for modern web apps
A practical look at reducing third-party cookie reliance for modern web apps.
Capability stopped being the gate. The question now is blast radius and half-life.
Formats
Available for the following formats.
- Conference keynote / breakout GTM systems, AI adoption, and calibration for practitioners. What the hype cycle gets wrong, and what to do instead.
- Workshop (half-day or full-day) Hands-on working session for revenue and marketing ops teams, built around your actual stack and data. You leave with a sequenced build plan.
- Panel and roundtable Peer-level conversation on AI integration, tooling decisions, and the foundations work that makes any of it hold up.
- Internal team session Bespoke session inside a company for GTM or marketing ops teams. Calibration first, then a clear-eyed build plan.