StoriesOnBoardAI
Log inStart free
ProductUse casesResourcesDevelopersPricing
AI product context

Give AI the context your product deserves.

StoriesOnBoard gives AI-supported product teams one shared context for users, decisions, plans, backlogs, and releases—so every agent contributes to coherent product development.

Start freeWhy context wins
PMUXDEV

One product context for people
and every agent in the workflow.

EV charging app live context
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
✦
Product agentReading story map context
GoalFind a charger
PersonaEV driver
ReleaseMVP

Implementation plan grounded in the full journey

THE PRODUCT CONTEXT LAYER FOR
Product teamsAI agentsCoding workflowsStakeholders
01

Beyond faster tickets

AI made execution faster.
It didn’t make direction clearer.

When agents work from isolated prompts and flat tickets, teams move quickly while losing sight of the user journey. We call that velocity blindness.

AI without product context

Fast output.
Fragmented product.

Generate login flowAdd preferencesCreate API endpointImprove onboardingHandle payment error

Every ticket can look reasonable while the product journey quietly breaks apart.

AI with StoriesOnBoard

Shared context.
Coherent decisions.

EV charging app live context
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

Agents see how each story supports a goal, a user step, a persona, and a release.

A shared context layer

Product context is the strategy.
AI makes it actionable.

StoriesOnBoard becomes the durable interface between human product thinking and agent execution. It stays visual for the team and structured for the tools.

Explore AI product context →
PRDResearchDecisions
→
✦StoriesOnBoardstructured product context
→
BacklogReleaseBuild plan
One continuous workflow

From the first uncertain idea to an implementation-ready plan.

Specialist AI skills move the product forward while the navigator keeps open questions and phase gates visible.

1 · runningDiscovery
2Journey
3Backlog
4Stories
5Release
fundamentals · users · uniqueness · journey sketch
QUESTIONS TO CONSIDER
?

What is the one thing this does meaningfully better than the alternatives?

blocking
?

Why would someone already using the strongest alternative switch?

blocking
?

What is the end-to-end journey, in 4–8 phases?

?

Who pays, and is the buyer the same person as the user?

Gate to the next phase

A brief covering all four sub-steps, each either answered or logged as an accepted risk.

Meet the AI skill pack
StoriesOnBoard MCP Server

Make product context part of your agent stack.

Give MCP-compatible agents structured read and write access to story maps. Analyze PRDs, audit backlog coverage, refine stories, and create product work in the right place.

Read hierarchyUnderstand personasCreate cardsUpdate detailsPlan releasesVerify changes
Explore MCPRead the docs
storiesonboard.mcpconnected

agent Analyze the PRD against our current MVP.

✦ Reading story map context…

TOOL CALLGetStoryMapCardsmap: ev-charging-app
release: MVP
include: personas, details

✓ Found 3 scope gaps and 2 stories that need refinement.

What agents can do

Product work grounded in the full journey.

View all use cases →
01
PRD

PRD → product plan

Turn product requirements into a visual journey and release-ready backlog.

Explore workflow →02
◎

Backlog gap analysis

Find broken journeys, missing stories, uncovered personas, and weak release slices.

Explore workflow →03
AC

Story refinement

Prepare upcoming stories with grounded narratives and testable criteria.

Explore workflow →04
↗

Implementation planning

Give delivery agents a coherent release instead of an isolated ticket list.

Explore workflow →
See the work, not just the promise

Explore maps, workflows, and product decisions.

Public story maps and end-to-end case studies show how uncertain input becomes a coherent backlog and implementation plan.

Explore resources
PUBLIC MAP · SAAS

AI meeting assistant

Open story map →END-TO-END CASE

From a 4-page PRD to a coherent MVP

Discovery · Map · Gap audit · Release · Refinement

Read the case →
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