alaimo-labs/afpb
AI-First Product Builder skills: falsifiable hypotheses, exposure plans, and the hypothesis-to-evidence experiment loop for prototypes built with coding agents.
How to build an Exposure Plan — an ordered set of accumulative reveal levels that validate a feature's hypothesis layer by layer, each level testing one falsifiable belief. Use when slicing a feature, planning a progressive reveal, designing how to validate a hypothesis in stages, or deciding what to expose to which users in what order.
How to turn a product conviction into a falsifiable hypothesis with a measurable experiment — structure, quality bar, and behavioral success criteria. Use when formulating a hypothesis, designing an experiment, defining success criteria for a prototype, or when the user states a belief about users that hasn't been tested.
Turn a product idea or conviction into a falsifiable hypothesis with behavioral success criteria and a decision rule
Build an Exposure Plan for a hypothesis or spec — accumulative reveal levels, each testing one falsifiable belief