FIELD NOTES · DECISION ESSAYS
Field Notes
Essay archive for the founder decision library
Featured article
I optimized an AI workflow so people could see results sooner. Then it began producing more than they could meaningfully judge.
Read the essay
The essay archive behind the decision library: practical notes on choosing what to build, validating demand, prioritizing the next bet, and changing direction.
Archive
Contents
Choose a problem worth the cost
Choose
Validate behavior, not approval
Validate
- 04
Cheap Clicks Are Not Product EvidenceProduct validationRead the essay - 10
How to Validate an AI Startup Idea Without Building an MVPPre-MVP validationRead the essay - 11
Customer Interest vs. Product Evidence: What Actually Counts?Reading validation signalsRead the essay - 12
When to Stop Validating and Start BuildingFrom validation to buildingRead the essay
Prioritize the next reversible bet
Prioritize
- 01
AI Is Generating Faster Than Humans Can ReviewHuman–AI collaborationRead the essay - 02
Most AI Products Confuse Approval with ControlHuman-AI collaborationRead the essay - 03
The Missing Layer in AI Products: Intermediate ArtifactsExplainable AI workflowsRead the essay - 05
A Visual Bible Is More Valuable Than a Better Image PromptGenerative design systemsRead the essay - 06
Your Most Sophisticated User Can Pull Your Product in the Wrong DirectionProduct feedbackRead the essay
Stop when evidence calls for a narrower bet
Stop
The working premise
AI makes shipping cheaper. Product judgment and evidence become the bottleneck.
Field Notes follows that bottleneck: the choices, checks, and evidence that turn generated output into progress people can understand and own.
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