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Show the input
Start with the actual level of ambiguity: a rough idea, PRD, research notes, or an existing backlog.
End-to-end case studies
Follow the work from uncertain input to an executable plan.
See the raw material, discovery questions, generated map, human corrections, release decisions, and implementation-ready result.
Plan a trip
Set destination
Find route
Save journey
Find a charger
Compare stations
AI Filter availability
Check connector
Start charging
Connect vehicle
Confirm session
Track progress
MVP · coherent end-to-end slice
Understand where AI accelerates the workflow—and where product judgment still changes the outcome.
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Why it matters
More useful AI starts with better product structure.
StoriesOnBoard keeps strategic context understandable to people and available to the agents helping them plan and execute.
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Show the decisions
Capture challenges, rejected assumptions, scope changes, and the human approval points.
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Show the final map
Connect the narrative to a public board that visitors can inspect in context.
How it works
A clear path from input to aligned action.
Each step adds context while keeping product decisions visible and reviewable.
Discovery and framing
Make the user, problem, alternatives, risks, and desired outcome explicit.
Journey and release
Create the backbone, stories, coverage audit, and coherent MVP slice.
Refinement and handoff
Prepare selected work and turn it into an implementation-oriented plan.
Give your agents the full picture
Build the context before you build the product.
Start with a rough idea, a PRD, or an existing map. Turn it into a product plan people and agents can use together.
Start free