AI app for product development · no coding needed
Product specification and signal workbench
Reduce spec drafting and rework cycles while keeping the product team's decisions in one owned workspace.
Made for: Product managers and small product teams turning rough ideas into buildable specs
What it does for you
The problem
Rough product ideas are scattered across documents, repos and data sources, so specs, wireframes and plans are rebuilt by hand and drift out of date.
What it gives you
Reviewed product specifications, wireframes, user flows and technical plans linked to their sources
What you give it
Brief ideasrepository contentsuser feedbackmonitored signals
Build your own version of PRDKit, CodeGuide and more
One app with what these 4 AI tools do, yours to keep and change: PRDKit, CodeGuide, ChatPRD, Signlz AI: Alpha Release.
Everything these tools do, in one app
- AI spec generation Turns brief ideas or prompts into structured product specifications automatically.Found in PRDKit, CodeGuide, ChatPRD
- PRD creation Produces product requirement documents from project details or prompts.Found in PRDKit, CodeGuide, ChatPRD
- Wireframe generation Creates wireframes to visualize feature designs quickly.Found in PRDKit, CodeGuide
- User flow generation Generates user flows as part of the specification output.Found in CodeGuide
- Technical spec generation Generates technical specifications for development.Found in CodeGuide
- Prototyping instructions Creates Bolt-ready prototyping instructions to speed up development workflows.Found in PRDKit
- Social media snippets Produces social media–ready snippets to support marketing and go-to-market efforts.Found in PRDKit
- Living documents Keeps product specs flexible and up to date throughout the project lifecycle.Found in PRDKit
- Repo mapping Maps existing GitHub repositories into a structured knowledge base for AI tools to reference.Found in CodeGuide
- AI coding tool integrations Connects with AI coding tools and IDEs such as Cursor, Lovable, and Bolt.Found in CodeGuide
- Browser extension Lets users create specs directly from web pages and in-context content.Found in CodeGuide
- Agent framework Coordinates multiple AI models to pursue a single specification-driven goal.Found in CodeGuide
- Customizable templates Provides templates that can be adapted to different product types and workflows.Found in ChatPRD
- Real-time collaboration Enables team members to comment and edit documents together in real time.Found in ChatPRD
- Project management integrations Connects with popular project management and communication platforms.Found in ChatPRD
- Version control Tracks changes and maintains document history.Found in ChatPRD
- Real-time signal detection Detects signals from diverse data sources in real time.Found in Signlz AI: Alpha Release
- Customizable alerts Lets users set personalized alert settings for monitoring.Found in Signlz AI: Alpha Release
- Data visualization Provides visualization tools to interpret signal trends clearly.Found in Signlz AI: Alpha Release
- Data platform integrations Connects with popular data platforms.Found in Signlz AI: Alpha Release
- Alpha feedback system Collects early user feedback to improve features.Found in Signlz AI: Alpha Release
How it works, step by step
- Turn brief ideas or prompts into structured product specifications
- Produce product requirement documents from project details
- Generate wireframes for feature designs
- Generate user flows as part of the specification output
- Generate technical specifications for development
- Create prototyping instructions for AI coding tools
- Produce social media-ready snippets for go-to-market
- Keep specifications editable and current through the project lifecycle
- Map existing repositories into a structured knowledge base
- Connect with AI coding tools and IDEs
- Capture specs from web pages through a browser extension
- Coordinate multiple AI models toward one specification-driven goal
- Apply customizable templates for different product types
- Support real-time commenting and editing
- Connect with project management and communication platforms
- Track document changes and history
- Detect signals from connected data sources
- Set personalized alert settings
- Visualize signal trends
- Connect with data platforms
- Collect early user feedback on alpha features
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed specification set 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 Product specification and signal workbench 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 Product specification and signal workbench 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 links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data200 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 spec drafting and rework cycles while keeping the product team's decisions in one owned workspace. For product managers and small product teams turning rough ideas into buildable specs, convert brief ideas, repo contents, feedback and monitored signals into reviewed product specifications, wireframes, user flows and technical plans linked to their sources. The benefit is a testable hypothesis, measured through accepted specs per product hour and rework after development starts; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect brief ideas, repository contents, feedback and monitored signals, then follow this sequence: 1. Turn brief ideas or prompts into structured product specifications. 2. Produce product requirement documents from project details. 3. Generate wireframes for feature designs. 4. Generate user flows as part of the specification output. 5. Generate technical specifications for development. Resolve uncertain cases with qualified reviewers, approve reviewed product specifications, wireframes, user flows and technical plans linked to their sources, and measure accepted specs per product hour and rework after development starts 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 approved repository scope and template set; final product and technical decisions remain with the product team. 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. The product team approves substantive changes and release scope. One approved repository scope and template set; final product and technical decisions remain with the product team. 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 approved repository scope and template set; final product and technical decisions remain with the product team. Implement one approved input format, a bounded representative case set and the first three task modules: turn brief ideas or prompts into structured product specifications; produce product requirement documents from project details; generate wireframes for feature designs. Support the remaining modules with operator review. 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
Customer-owned repositories, authorized feedback sources and permitted data platforms. Cloud document storage, AI coding tools and IDEs, project management and communication platforms, and data platforms. 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: Idea intake and sources, Editable specification workspace, Review and handoff. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, signals, comments and constraints. Let users compare spec versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant section. Make the task-specific outcome reviewed product specifications, wireframes, user flows and technical plans linked to their sources visible beside its evidence, review state and value baseline.
