User stories your team can
actually build.
One persona list. One acceptance-criteria format. One click to Azure DevOps. Stop arguing about story shape — start shipping.
Or take the 30-second tour
A general AI agent can write a story. It can't run your backlog.
Generic agents are great at code. They're not built for the discipline a backlog needs — consistent shape, enforced quality, the right size, and a team that all writes the same way.
Output shape
Free-form prose. Every story looks different depending on the prompt and who wrote it.
Strict, Azure DevOps-compatible structure. Persona, goal, benefit, ACs and size — same shape every time.
Acceptance criteria
Whatever the model feels like — sometimes Gherkin, sometimes bullets, sometimes nothing.
Pick Given/When/Then or numbered ACs per story. Format is enforced, not negotiated.
Quality control
You read the output and hope it's good. No score, no checklist, no second pass.
Every story is INVEST-scored, gap-analysed, and one click away from being auto-fixed on the failing dimension.
Sizing & splitting
An agent will happily hand you a 21-point monster and call it a user story.
Fibonacci sizing built in. Anything over 8 points triggers the splitter to propose 2–4 vertical slices.
Personas & terminology
Invents personas on the fly. Calls the same role three different names across three stories.
Curated persona list per workspace. Same vocabulary across every story your team writes.
Team consistency
Every developer gets a different answer for the same prompt. No shared standard.
Multi-tenant workspace with shared rules, glossary, and DoR/DoD — your house style, applied automatically.
Backlog integration
Lives in your IDE. Output dies in a chat window unless you copy-paste it somewhere useful.
Export to Jira wiki-markup, Azure DevOps markdown, CSV, MD, or JSON. ADO push integration shipping next.
Audit & governance
Zero trail. You can't prove who generated what, when, or against which standard.
Row-level isolation, append-only audit, and revision history per story — built for regulated teams.
Who it's for
Built for developers writing code.
Built for product managers, BAs, and delivery leads writing the work that becomes code.
Bottom line: a Copilot agent helps one person write faster. User Story AI makes the entire team's backlog measurably better — and keeps it that way.
Everything You Need
Smart Story Drafting
Consistent shape, persona list, and acceptance-criteria format across every story your team writes.
Two AC Formats
Choose Given/When/Then for BDD teams or numbered Acceptance Criteria for traditional backlogs — set per story.
Validator Mode
Paste an existing story and get an INVEST score, gap analysis, and a rewritten version you can accept in one click.
Story Refinement
Tell Smart Refine what to change in plain English — it updates only what you asked for, nothing else.
Tasks Generator
Turn a completed story into a sized, ordered task list ready for sprint planning.
Process Diagrams
Auto-generate a Mermaid flowchart of the user journey for stakeholder reviews.
Translate to 12+ Languages
One-click translation of stories and tasks for distributed teams, with locale-aware terminology.
Jira & Azure DevOps Export
Copy in Jira wiki-markup or Azure DevOps markdown, or download .csv / .md / .json bundles.
Coming next
The roadmap that takes User Story AI well beyond what a generic Copilot agent can do — built in the order our customers asked for.
Story-splitting agent + INVEST Fix-it
Auto-split oversized stories into vertical slices and fix specific INVEST failures with one click.
Team glossary + custom personas
Each team defines its own personas and business terms — the AI uses them automatically in every story.
DoR / DoD per team + compliance scoring
Admins set the checklist; the validator scores every story against your team's Definition of Ready and Done.
Azure DevOps push integration
OAuth into ADO and push stories, ACs, tasks and sizes as Work Items — no copy-paste, no drift.
Backlog-aware generation
Generation reads sibling stories and epic goals so new stories stay consistent with what's already in your backlog.
Two-way Jira sync
Pull existing issues, refine in Lovable, push changes back — full round-trip with Jira Cloud.
Test-case generation
Turn acceptance criteria into Gherkin scenarios ready for Xray, Zephyr, or Azure DevOps Test Plans.
Bulk import to backlog
Drop in a meeting transcript, brief, or PRD and get a draft backlog of properly-shaped stories.
Story diff & history
See what changed between revisions, who refined what, and roll back any story to a previous version.
Reviewer & approval workflow
Draft → in review → approved, with comments and required sign-off before a story can be exported.
Team analytics dashboard
Track quality scores, INVEST trends, and refinement velocity across squads and tribes.
Workspace prompt presets
Lock in your house style — tone, mandatory sections, banned phrases — applied to every generation.
Inline AI commands, voice, share links
Slash-commands inside the editor, voice-to-story capture from refinement sessions, and read-only share links for stakeholders.
Want to influence what ships next? Email us.
Trust & Security
Straight answers to the questions buyers ask us most.
Simple, Transparent Pricing
Start free. Upgrade when you need more.
Need SAML SSO, a signed DPA, or invoiced billing? Contact us