AI app for it and development · no coding needed
Source-linked UI feedback capture console
Reduce clarification cycles between reviewers and AI coding agents while preserving the reviewer's intent.
Made for: Product teams and developers directing AI coding agents on web interfaces
What it does for you
The problem
UI feedback for AI coding agents is scattered across screenshots, chat messages and console logs, so agents receive incomplete context and developers repeat clarification cycles.
What it gives you
Structured, agent-ready feedback linked to the live page
What you give it
Live page URLpreview environment accessreviewer accountsagent connection details
Build your own version of Agentation, Qursor and more
One app with what these 3 AI tools do, yours to keep and change: Agentation, Qursor, Patchrooms.
Everything these tools do, in one app
- Point-and-click element capture Lets users point at or click an on-screen element to select it for feedback.Found in Agentation, Qursor, Patchrooms
- Element selector extraction Produces selectors or classes that identify the exact element in the codebase.Found in Agentation, Qursor
- Style and layout inspection Shows live CSS properties, fonts, colors, spacing, and layout for the selected element.Found in Agentation, Qursor
- Multi-element annotation Allows annotating several elements on a page and compiling the feedback together.Found in Agentation, Qursor
- Text selection annotation Lets users annotate a specific piece of text on the page.Found in Agentation
- Draw-area annotation Lets users draw an area on the page to capture a region for feedback.Found in Agentation
- Freeze animations Pauses animations so a specific UI state can be captured.Found in Agentation
- React component hierarchy Surfaces the full component hierarchy for an annotated element.Found in Agentation
- Component code export Extracts the selected component formatted as HTML, CSS, or JSX.Found in Qursor
- Asset downloading Downloads SVGs, PNGs, and JPGs directly from the browser.Found in Qursor
- Console error capture Automatically records console errors for the annotated element or page.Found in Patchrooms
- Viewport and browser info Captures URL, viewport, and browser details alongside feedback.Found in Patchrooms
- Voice note feedback Lets reviewers submit feedback as voice notes.Found in Patchrooms
- Screenshot feedback Lets reviewers attach screenshots as part of their feedback.Found in Patchrooms
- Structured markdown output Copies clean, agent-ready annotations as structured markdown.Found in Agentation, Patchrooms
- MCP integration Connects to AI agents through MCP so annotations can be consumed directly.Found in Agentation, Patchrooms
- Two-way agent feedback sync Lets agents acknowledge, question, or resolve feedback in a two-way loop.Found in Agentation
- One-keystroke copy Copies the prepared annotation to the clipboard with a single keystroke.Found in Agentation
- Script-based preview integration Integrates by dropping a single script into an AI-built preview environment.Found in Patchrooms
- Drag-to-rearrange components Lets users drag prebuilt components to rearrange sections with real-time sync.Found in Agentation
How it works, step by step
- Capture a clicked or pointed element
- Extract selectors and classes for the exact element
- Inspect live CSS, fonts, colors, spacing and layout
- Annotate several elements and compile the feedback
- Annotate a specific piece of text
- Draw an area to capture a region
- Freeze animations to hold a UI state
- Surface the React component hierarchy
- Export the selected component as HTML, CSS or JSX
- Download SVGs, PNGs and JPGs from the browser
- Record console errors for the element or page
- Attach URL, viewport and browser details
- Accept voice note feedback
- Accept screenshot feedback
- Produce structured markdown annotations
- Connect to AI agents through MCP
- Sync agent acknowledgements, questions and resolutions
- Copy the prepared annotation with one keystroke
- Integrate by dropping a single script into a preview environment
- Drag prebuilt components to rearrange sections with real-time sync
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export versioned structured, agent-ready feedback linked to the live page 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 Source-linked UI feedback capture console 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 Source-linked UI feedback capture console 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 Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 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 clarification cycles between reviewers and AI coding agents while preserving the reviewer's intent. For product teams and developers directing AI coding agents on web interfaces, convert captured element context, styles, component hierarchy, console errors and reviewer annotations into structured, agent-ready feedback linked to the live page. The benefit is a testable hypothesis, measured through accepted agent changes per feedback round and clarification messages per resolved annotation; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect the live page URL, preview environment access, reviewer accounts and agent connection details, then follow this sequence: 1. Capture a clicked or pointed element. 2. Extract selectors and classes for the exact element. 3. Inspect live CSS, fonts, colors, spacing and layout. 4. Annotate several elements and compile the feedback. 5. Annotate a specific piece of text. 6. Draw an area to capture a region. 7. Freeze animations to hold a UI state. 8. Surface the React component hierarchy. 9. Export the selected component as HTML, CSS or JSX. 10. Download SVGs, PNGs and JPGs from the browser. 11. Record console errors for the element or page. 12. Attach URL, viewport and browser details. 13. Accept voice note feedback. 14. Accept screenshot feedback. 15. Produce structured markdown annotations. 16. Connect to AI agents through MCP. 17. Sync agent acknowledgements, questions and resolutions. 18. Copy the prepared annotation with one keystroke. 19. Integrate by dropping a single script into a preview environment. 20. Drag prebuilt components to rearrange sections with real-time sync. Resolve uncertain cases with qualified reviewers, approve structured, agent-ready feedback linked to the live page, and measure accepted agent changes per feedback round and clarification messages per resolved annotation against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 supported browser family and one preview framework; final code changes and accessibility checks remain developer work. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve reviewer intent, source attribution, quotation accuracy and usage permissions. Reviewers approve substantive changes and publication scope. One supported browser family and one preview framework; final code changes and accessibility checks remain developer work. 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 supported browser family and one preview framework; final code changes and accessibility checks remain developer work. Implement one approved input format, a bounded representative case set and the first two task modules: capture a clicked or pointed element; extract selectors and classes for the exact element. Support the remaining modules with operator review: inspect live CSS, fonts, colors, spacing and layout; annotate several elements and compile the feedback; annotate a specific piece of text; draw an area to capture a region; freeze animations to hold a UI state; surface the React component hierarchy; export the selected component as HTML, CSS or JSX; download SVGs, PNGs and JPGs from the browser; record console errors for the element or page; attach URL, viewport and browser details; accept voice note feedback; accept screenshot feedback; produce structured markdown annotations; connect to AI agents through MCP; sync agent acknowledgements, questions and resolutions; copy the prepared annotation with one keystroke; integrate by dropping a single script into a preview environment; drag prebuilt components to rearrange sections with real-time sync. 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
Developer-owned preview environments, authorized repositories and permitted design sources. Cloud asset storage, design-file import/export and agent 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: Capture overlay on the live page, Annotation review and export, Agent sync console. Use a thumbnail gallery for capture sessions, a large central page preview with the selected element highlighted, and a right-hand panel for selectors, styles, hierarchy, console errors and comments. Let users compare annotation versions side by side. Display draft, sent, acknowledged and resolved states. Provide a client preview link with comments anchored to the relevant element. Make the task-specific outcome structured, agent-ready feedback linked to the live page visible beside its evidence, review state and value baseline.
