Writing user stories an AI app builder can actually use
A good user story is already most of a good request to an AI builder. Here is what to add: data, states, permissions, scope and checkable criteria.
Practical writing for product owners and agile teams on prototyping, refinement, discovery and shipping with AI.
A good user story is already most of a good request to an AI builder. Here is what to add: data, states, permissions, scope and checkable criteria.
Replace the slide deck with software people can click. How a product owner prepares the demo, collects feedback live and turns it into backlog items.
A prototype tests an idea, a spike tests a technical doubt, an MVP tests whether people will use and pay. Here is how to tell them apart and pick one.
An honest look at where AI app builders fit and where they do not: good use cases, poor fits, code review, security, cost control and questions for any vendor.
A spike does not need a sprint. Test one risky assumption in a few hours with a working app, a kill criterion and five real users.
Refinement goes faster when the team looks at something that runs. A practical guide for product owners: routine, meeting format, estimates and traps.