Practical AI, entrepreneurship, and investing for faster decisions.
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Recent notes by workstream
How founders should evaluate AI workflows before buying automation
A practical checklist for separating durable leverage from expensive novelty, with a six-factor scorecard you can run in under an hour.
The practical AI stack: tools worth standardizing first
Where small teams should put AI before chasing bespoke automation, using a three-layer stack that compounds instead of sprawling.
A better cadence for founder experiments
How to separate learning velocity from random activity with a Monday-to-Friday operating rhythm that makes every experiment pay for itself in decisions.
Build the research architecture before the investing decisions
Why a clear research system matters more than any single market call, and the five components that make conviction auditable.
The minimum viable AI investing workflow
A lightweight four-step research loop for using AI in investment research without outsourcing judgment, with the counterargument as the control surface.
When to hire before automating
A decision framework for founders choosing between people, process, and software, plus the documentation step that makes either choice cheaper.