AI app for product development · no coding needed
Assumption-driven product requirements and story workspace
Reduce requirement rework while keeping every story traceable to its source assumption.
Made for: Product managers and product teams turning assumptions and research into reviewed stories and requirements
What it does for you
The problem
Stories, requirements, personas, maps and usage evidence live in separate rented tools, so traceability and review break down.
What it gives you
Reviewed, traceable stories and requirements with acceptance criteria
What you give it
Product briefsinterview notessession recordingsexisting backlogs
Build your own version of Story Maker by Gluecharm, UserTale and more
One app with what these 7 AI tools do, yours to keep and change: Story Maker by Gluecharm, UserTale, StoriesOnBoard AI User Story Generator, User Story Generator, Mappie AI (Beta), Requstory, Requirements AI.
Everything these tools do, in one app
- AI-assisted content generation Uses AI to generate text such as stories, user stories, or requirements from user input.Found in Story Maker by Gluecharm, StoriesOnBoard AI User Story Generator, User Story Generator and 1 more
- Customizable templates Provides templates that can be adapted to different genres, project types, or industries.Found in Story Maker by Gluecharm, StoriesOnBoard AI User Story Generator, User Story Generator and 2 more
- Collaborative workspace Allows multiple team members to contribute, comment, and refine content in real time.Found in StoriesOnBoard AI User Story Generator, Requstory, Requirements AI
- Export and sharing Enables exporting content in various formats for easy sharing and further editing.Found in Story Maker by Gluecharm, Mappie AI (Beta)
- Acceptance criteria generation Automatically generates acceptance criteria alongside user stories to enhance completeness.Found in StoriesOnBoard AI User Story Generator
- User personas development Helps detail user personas and craft narratives for UX research.Found in User Story Generator
- Concept exploration Supports teams in considering product concepts and potential features during brainstorming.Found in User Story Generator
- Story mapping integration Integrates with story mapping workflows to organize user stories visually.Found in StoriesOnBoard AI User Story Generator
- Automated requirements extraction Automatically extracts requirements from documents and communications.Found in Requstory
- Traceability matrix Tracks requirement status and dependencies to ensure clear traceability.Found in Requstory
- Version control and change tracking Monitors updates and maintains a history of changes to requirements.Found in Requirements AI
- AI-assisted requirement validation Uses AI to validate requirements for completeness and consistency.Found in Requirements AI
- Natural language map input Generates maps from natural language commands without technical expertise.Found in Mappie AI (Beta)
- Interactive map outputs Produces interactive maps that can be customized and embedded.Found in Mappie AI (Beta)
- Real-time map updates Updates maps in real time based on user modifications.Found in Mappie AI (Beta)
- Session recording Captures real-time user sessions to observe interactions and identify pain points.Found in UserTale
- Heatmaps Visualizes user clicks, scrolls, and mouse movements to understand engagement patterns.Found in UserTale
- Conversion funnels Tracks and analyzes user flow through conversion paths to detect drop-off points.Found in UserTale
How it works, step by step
- Generate stories and requirements from supplied briefs and notes
- Apply customizable templates for project types and industries
- Let team members comment and refine content in one workspace
- Export content in agreed formats for sharing and editing
- Generate acceptance criteria alongside each story
- Detail user personas and craft narratives for research
- Explore product concepts and candidate features during brainstorming
- Organize stories visually in a story map
- Extract requirements from supplied documents and communications
- Track requirement status and dependencies in a traceability matrix
- Keep version history and change tracking for requirements
- Validate requirements for completeness and consistency
- Build maps from natural language commands
- Produce interactive maps that can be customized and embedded
- Update maps in real time as users modify them
- Capture session recordings to observe interactions and pain points
- Visualize clicks, scrolls and mouse movements as heatmaps
- Track conversion funnels and detect drop-off points
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, traceable stories and requirements with acceptance criteria with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Assumption-driven product requirements and story workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Assumption-driven product requirements and story workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data197 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce requirement rework while keeping every story traceable to its source assumption. For product managers and product teams turning assumptions and research into reviewed stories and requirements, convert product briefs, interview notes, session recordings and existing backlogs into reviewed, traceable stories and requirements with acceptance criteria. The benefit is a testable hypothesis, measured through accepted stories per planning hour and requirement changes after development start; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect product briefs, interview notes, session recordings and existing backlogs, then follow this sequence: 1. Generate stories and requirements from supplied briefs and notes. 2. Apply customizable templates for project types and industries. 3. Let team members comment and refine content in one workspace. 4. Generate acceptance criteria alongside each story. 5. Extract requirements from supplied documents and communications. 6. Track requirement status and dependencies in a traceability matrix. 7. Validate requirements for completeness and consistency. Resolve uncertain cases with qualified reviewers, approve reviewed, traceable stories and requirements with acceptance criteria, and measure accepted stories per planning hour and requirement changes after development start against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed template set and one agreed export schema; final product decisions and prioritization remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve product intent, source attribution, quotation accuracy and usage permissions. Product owners approve substantive changes and release scope. One fixed template set and one agreed export schema; final product decisions and prioritization remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed template set and one agreed export schema; final product decisions and prioritization remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate stories and requirements from supplied briefs and notes; apply customizable templates for project types and industries. Support the remaining modules with operator review: collaborative workspace, acceptance criteria generation, requirements extraction, traceability matrix and validation. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Product-owned briefs, authorized interview notes and permitted research sources. Backlog and issue-tracker import/export, design-file import/export and documentation destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Assumption and source intake, Editable story and requirements workspace, Review and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, assumptions, dependencies and comments. Let users compare story versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant story or map node. Make the task-specific outcome reviewed, traceable stories and requirements with acceptance criteria visible beside its evidence, review state and value baseline.
