From a vague request to sprint-ready stories
“Customers want SSO” is not a spec. Idam AI's User Stories agent turns features, problems, and half-formed requests into INVEST-quality user stories - prioritized, edge cases included, acceptance criteria your QA team won't bounce back.
checked on every story
free trial
As a workspace admin, I want to require SSO for all members so that access ends the moment someone leaves the identity provider.
The story format is easy. The thinking is the work.
Any template can produce “As a user, I want…” The agent does what a strong PM does before sprint planning: finds the edge cases, covers every affected persona, and splits stories until each one is actually buildable in a sprint.
Edge cases before engineering finds them
The expensive bugs live in the gaps between happy paths. The agent probes empty states, permission boundaries, concurrent edits, and failure modes - and writes criteria for them.
Every affected persona, not just the loudest
A feature rarely touches one user type. The agent maps which roles the change affects - admin, member, viewer, the person being invited - and writes the stories each perspective needs.
Split small, ranked honestly
Epics get decomposed until each story is independently shippable and estimable, then prioritized - must-have, should-have, later - so sprint planning starts from a defensible order.
Stories that know what's already in the backlog
Before writing a word, the agent checks your connected project tracker, knowledge base, and design files for related work. The result reads like it came from someone who attended your standups.
Context first, stories second
Related tickets, prior specs, design explorations, and known dependencies get pulled in automatically when tools are connected - and the agent works fine from a plain description when they are not.
Lands where engineering works
Export finished stories to Jira or Linear with acceptance criteria intact - no reformatting from a Notion doc into tickets at 6pm before planning.
Builds on prior specs
Connected knowledge bases mean the agent finds the research doc and the decision record you forgot existed - and keeps new stories consistent with them.
Dependencies called out up front
If a story depends on another team's service or an unshipped migration, it gets flagged in the story - before it becomes a mid-sprint surprise.
Asked before every sprint
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