AI in practice, from operators who actually ship it.
A working library of how we install AI inside real companies, the operating model, the agents, the investing lens. No theory theater. The same thinking we use in the practice, published as we learn it.
We rebuilt a back-office workflow with agents, here's what actually held.
New episode · 22 min
The library.
Field notes, teardowns, and working sessions, published as we learn them. Filter by what you're working on.
We rebuilt a back-office workflow with agents, what actually held.
A live teardown of moving a real recurring process onto agentic workers, and the parts that broke first.
22 minWhy bolting AI onto an old operating model fails.
Tools multiply, advantage doesn't. Where AI-native advantage actually comes from.
16 minReading the AI stack like an operator, not a spectator.
How we separate durable infrastructure bets from narrative-driven hype in the AI market.
19 minStanding up your first managed agent, a working setup.
The same scaffolding we run in-house: scoping the job, guardrails, and a feedback loop that compounds.
27 minThe AI-readiness diagnostic, explained.
What we actually look for, adoption, resistance, leadership assumptions, and the first workflows worth rebuilding.
14 minAI proficiency for finance teams that move capital.
Practical AI enablement for capital markets, M&A, PE, and valuation work, from operators who have done the work.
23 minHigher output per person, without breaking the team.
Sequencing AI into the org so capacity compounds instead of fragmenting.
18 minWhat we learned operating an in-house agent org.
The honest version, where agents earn their keep, and where a human still has to own the call.
25 minGet new field notes as we publish them.
One email when a new episode or teardown drops. The operating thinking, the agents, the investing lens, no filler.