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See the whole journey
Connect goals, user steps, stories, personas, decisions, and releases on one visual map.
AI product development
AI product development grounded in shared context.
StoriesOnBoard turns product knowledge into a visual, structured context layer that people can understand and AI agents can use.
Plan a trip
Set destination
Find route
Save journey
Find a charger
Compare stations
AI Filter availability
Check connector
Start charging
Connect vehicle
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Track progress
MVP · coherent end-to-end slice
Move from a rough idea to a coherent, release-ready backlog without losing the user journey along the way.
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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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Work with grounded AI
Give AI more than a prompt: durable product structure, real relationships, and the context behind each story.
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Stay in control
Review the map, challenge assumptions, reshape releases, and approve what becomes part of the plan.
How it works
A clear path from input to aligned action.
Each step adds context while keeping product decisions visible and reviewable.
Bring the input
Start with an idea, PRD, research notes, customer feedback, or an existing backlog.
Build shared context
Shape the user journey and organize the work into goals, steps, stories, personas, and releases.
Let agents act with precision
Analyze scope, find gaps, refine stories, and prepare implementation work from the approved map.
Frequently asked questions
Clear answers before you start.
What is AI product planning?+
AI product planning uses AI to help analyze product input, structure user journeys, create backlog items, and prepare releases while product teams review the decisions.
How is StoriesOnBoard different from planning in an AI chat?+
StoriesOnBoard keeps the product context in a visual, durable story map instead of leaving it in a conversation. People and agents can reuse the same goals, steps, stories, personas, and release context.
Can StoriesOnBoard create a backlog from a PRD?+
Yes. An AI agent can analyze a PRD, propose a story map structure, and use the StoriesOnBoard MCP server to create approved goals, steps, stories, personas, and releases on a real board.
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.
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