Start hereAI
Using AI as the execution layer, not an advisor
Most teams use AI to ask questions and then do the work by hand. The leverage is in handing it the work, and in the spec you write before you do.
Kevin Stout · 4 min read · Aug 2026
Read →The blog
RevOps and AI, written down.
AI
AI gave you 50 silos instead of 5
The old RevOps graphic had five departments and a bar tying them together. Enable a hundred people with AI individually and you get the same problem, bigger.
4 min read · Aug 2026
How I pick which AI tool to use
General-purpose models, no-code builders, specialists, and AI inside tools you already use, plus the two questions that sort any job.
5 min read · Aug 2026
I stopped letting note-takers join my calls
A bot in the attendee list changes how people talk, and it only covers calls it was invited to. Both problems go away when the recorder runs on your machine.
3 min read · Aug 2026
There's no pattern to who picks up AI
Technical roles do not predict AI adoption. Willingness to try new things does, and the gap between best and worst on one team is about 100 to 1.
4 min read · Aug 2026
RevOps
Why Your Conversion Rate Analysis Is Setting You Up to Fail
Monthly funnel math only works if your whole customer lifecycle fits inside a month. Cohort by stage date instead, then compare inside matching time windows.
3 min read · Mar 2026
What’s your biggest problem?
The revenue system →
Messy data, stalled deals, reporting nobody trusts.
The team’s capacity →
Too much manual work, no plan for AI.
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The GTM tool stack guide
What to keep, what to drop, and what you can skip until Series A.
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