Learning Lab
Methods you can run this week, in your own business, with your own people. Each guide states its risk level, its time cost, and exactly what you will be holding at the end — because a method that hides its costs is a demo, not a method.
A two-week field method for converting one recurring workflow into an AI-assisted process without betting anything you cannot afford to lose.
One workflow running with AI assistance, a written checkpoint design, and a go/no-go decision based on your own evidence instead of a vendor demo.
A decision method for matching AI models to tasks based on what a wrong answer costs you — not on leaderboards or launch-day noise.
A simple risk map of your AI use cases, and a defensible model choice for each one.
A one-hour working session that produces a data boundary your whole team can actually follow.
A one-page data boundary — what may, may not, and must never go into an AI tool — written in your own operating language.