AI app for creatives · no coding needed
Managed visual canvas production workbench
Reduce tool switching and style drift while keeping one reviewed visual pipeline.
Made for: Creative teams and studios producing visual artwork for print and social channels

What it does for you
The problem
Visual work is split across a canvas tool, a style tool and a generation tool, so files, styles and approvals drift apart.
What it gives you
Reviewer-approved visual assets linked to export-ready frames
What you give it
Licensed referencessketchesbrand style guideslayout constraints
Build your own version of CanvAi, Causal and more
One app with what these 3 AI tools do, yours to keep and change: CanvAi, Causal, Stylar.
Everything these tools do, in one app
- Infinite canvas workspace Provides a boundless surface for arranging and composing visual elements.Found in CanvAi, Causal
- Layer-based composition Lets you manage layouts precisely using canvases and layers.Found in Stylar
- Frame-based workflow Compose scenes within frames and export specific areas.Found in CanvAi
- Drag-and-drop interface Enables intuitive placement and manipulation of elements on the canvas.Found in Stylar
- Sketch-to-image generation Converts rough sketches into refined AI-generated art.Found in CanvAi
- Generative canvas AI actively creates and arranges files, notes, and images directly on the board.Found in Causal
- AI-assisted prompt generation Translates design ideas into effective AI prompts through interactive dialogue.Found in Stylar
- Coherent stylization Applies consistent styles automatically across elements while preserving composition.Found in Stylar
- Style library Offers a wide range of built-in visual styles to choose from.Found in Stylar
- Reference image import Allows importing reference images to create variations or standalone assets.Found in CanvAi
- Image editing tools Enables inserting or removing image parts without affecting the rest of the composition.Found in Stylar
- High-resolution export Exports finished images at high resolution suitable for print and social use.Found in CanvAi
- Multimodal spatial context AI understands the entire workspace and the relative positions of elements.Found in Causal
- AI organization and brainstorming Organizes scattered ideas, suggests new directions, or generates a roadmap from board content.Found in Causal
- Custom widget creation Creates functional elements like habit trackers, bar charts, or interactive games on the canvas.Found in Causal
- MCP connections Hands off project plans to external agents, preserving spatial context.Found in Causal
- Credit-based generation Charges 1 credit per image generation, with failed generations not consuming credits.Found in CanvAi
How it works, step by step
- Arrange elements on an infinite canvas workspace
- Manage layouts with layer-based composition
- Compose scenes within frames and export selected areas
- Place and manipulate elements by drag and drop
- Convert rough sketches into refined generated art
- Let AI create and arrange files, notes and images on the board
- Translate design ideas into prompts through interactive dialogue
- Apply consistent styles across elements while preserving composition
- Offer a built-in library of visual styles
- Import reference images to create variations or standalone assets
- Insert or remove image parts without affecting the rest of the composition
- Export finished images at high resolution for print and social use
- Read the whole workspace and the relative positions of elements
- Organize scattered ideas, suggest directions and draft a roadmap from board content
- Create functional widgets such as charts or interactive elements on the canvas
- Hand off project plans to external agents while preserving spatial context
- Charge one credit per image generation, with failed generations not consuming credits
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved visual assets linked to export-ready frames 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 Managed visual canvas production 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 Managed visual canvas production 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 links3 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare28 KB
- prompt-vps.mdThe same build on your own server (Docker)28 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data192 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 tool switching and style drift while keeping one reviewed visual pipeline. For creative teams and studios producing visual artwork for print and social channels, convert licensed references, sketches, brand style guides and layout constraints into reviewer-approved visual assets linked to export-ready frames. The benefit is a testable hypothesis, measured through accepted assets per creative hour and corrections after client approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed references, sketches, brand style guides and layout constraints, then follow this sequence: 1. Arrange elements on an infinite canvas workspace. 2. Manage layouts with layer-based composition. 3. Compose scenes within frames and export selected areas. 4. Place and manipulate elements by drag and drop. 5. Convert rough sketches into refined generated art. 6. Let AI create and arrange files, notes and images on the board. 7. Translate design ideas into prompts through interactive dialogue. 8. Apply consistent styles across elements while preserving composition. Resolve uncertain cases with qualified reviewers, approve reviewer-approved visual assets linked to export-ready frames, and measure accepted assets per creative hour and corrections after client approval 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 brand style set and licensed reference library; final art direction and publication checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, asset accuracy and usage permissions. Clients approve substantive changes and publication scope. One fixed brand style set and licensed reference library; final art direction and publication checks 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 brand style set and licensed reference library; final art direction and publication checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: arrange elements on an infinite canvas workspace; manage layouts with layer-based composition. Support the remaining modules with operator review: compose scenes within frames and export selected areas; place and manipulate elements by drag and drop; convert rough sketches into refined generated art; let AI create and arrange files, notes and images on the board; translate design ideas into prompts through interactive dialogue; apply consistent styles across elements while preserving composition; offer a built-in library of visual styles; import reference images to create variations or standalone assets; insert or remove image parts without affecting the rest of the composition; export finished images at high resolution for print and social use; read the whole workspace and the relative positions of elements; organize scattered ideas, suggest directions and draft a roadmap from board content; create functional widgets such as charts or interactive elements on the canvas; hand off project plans to external agents while preserving spatial context; charge one credit per image generation, with failed generations not consuming credits. 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
Client-owned brand assets, authorized references and permitted stock sources. Cloud asset storage, design-file import/export and publishing 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: Creative brief and references, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewer-approved visual assets linked to export-ready frames visible beside its evidence, review state and value baseline.





