AI app for creatives · no coding needed
Visual production and review workspace
Reduce tool switching and review cycles while keeping creative control.
Made for: Creative teams producing landscape images, 3D renders and videos for clients

What it does for you
The problem
Visual production and review are split across separate generation, rendering, editing and feedback tools, so assets, versions and comments drift apart.
What it gives you
Approved visual deliverables linked to versioned project files
What you give it
Licensed source assetsscene parametersrender settingsreviewer comments
Build your own version of Scenery, RenderFit and more
One app with what these 4 AI tools do, yours to keep and change: Scenery, RenderFit, Google Vids, Flask.
Everything these tools do, in one app
- AI-assisted content creation Uses AI to automate parts of creating images, renders, or videos.Found in Scenery, RenderFit, Google Vids
- Customizable visual parameters Lets users adjust settings like weather, lighting, terrain, style, or mood to control the final look.Found in Scenery
- Multiple output resolutions Exports visuals at different resolutions for web or print use.Found in Scenery
- Fast rendering and generation Produces high-quality visuals quickly so users can experiment and iterate.Found in Scenery, RenderFit
- Automated scene optimization Improves rendering speed and quality by automatically optimizing the scene.Found in RenderFit
- Adaptive resource management Balances computing power during processing for efficient rendering.Found in RenderFit
- 3D file format support Works with multiple 3D file formats and popular rendering engines.Found in RenderFit
- Real-time progress tracking Shows rendering progress and provides previews as the job runs.Found in RenderFit
- Customizable presets Offers preset configurations that can be tailored to different project needs.Found in RenderFit
- Timeline-based editing Arranges video clips and assets chronologically on a timeline for editing.Found in Google Vids, Flask
- Cloud storage integration Connects to cloud storage to access existing video and media files.Found in Google Vids
- Real-time collaboration Allows multiple users to work on the same project simultaneously.Found in Google Vids
- Workspace integration Fits within an existing productivity suite for workflow continuity.Found in Google Vids
- Time-based comments Lets reviewers leave comments and visual annotations tied to specific points on the video timeline.Found in Flask
- Asset versioning Manages and compares multiple iterations of the same video.Found in Flask
- Tagging and filters Enables reviewers to focus on specific elements or versions using customizable tags and filters.Found in Flask
- Shareable pre-filtered views Creates shareable links that control what collaborators see when they open a review.Found in Flask
How it works, step by step
- Generate candidate images, renders or video clips from a brief
- Adjust weather, lighting, terrain, style and mood parameters
- Export at multiple resolutions for web or print
- Render and regenerate quickly for iteration
- Optimize scenes automatically for speed and quality
- Balance compute resources during rendering
- Import and export common 3D file formats and engines
- Track render progress and show previews
- Apply and tailor reusable presets
- Arrange clips and assets on a timeline
- Connect to cloud storage for existing media
- Let multiple users edit the same project at once
- Fit into the team's existing workspace tools
- Anchor comments and annotations to timeline points
- Version and compare asset iterations
- Tag and filter review items
- Share pre-filtered review links
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned approved visual deliverables linked to versioned project files 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 Visual production and review 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 Visual production and review 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 links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare29 KB
- prompt-vps.mdThe same build on your own server (Docker)29 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria16 KB
- demo/index.htmlThe working demo on sample data193 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 review cycles while keeping creative control. For creative teams producing landscape images, 3D renders and videos for clients, convert licensed source assets, scene parameters, render settings and reviewer comments into approved visual deliverables linked to versioned project files. The benefit is a testable hypothesis, measured through approved visual assets per production hour and corrections after client review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed source assets, scene parameters, render settings and reviewer comments, then follow this sequence: 1. Generate candidate images, renders or video clips from a brief. 2. Adjust weather, lighting, terrain, style and mood parameters. 3. Export at multiple resolutions for web or print. 4. Render and regenerate quickly for iteration. 5. Optimize scenes automatically for speed and quality. 6. Balance compute resources during rendering. 7. Import and export common 3D file formats and engines. 8. Track render progress and show previews. 9. Apply and tailor reusable presets. 10. Arrange clips and assets on a timeline. 11. Connect to cloud storage for existing media. 12. Let multiple users edit the same project at once. 13. Fit into the team's existing workspace tools. 14. Anchor comments and annotations to timeline points. 15. Version and compare asset iterations. 16. Tag and filter review items. 17. Share pre-filtered review links. Resolve uncertain cases with qualified reviewers, approve approved visual deliverables linked to versioned project files, and measure approved visual assets per production hour and corrections after client review 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 fixed output format and licensed asset set; final creative direction and brand 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. Creative leads approve substantive changes and publication scope. One fixed output format and licensed asset set; final creative direction and brand 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 output format and licensed asset set; final creative direction and brand checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate candidate images, renders or video clips from a brief; adjust weather, lighting, terrain, style and mood parameters. Support the third module with operator review: export at multiple resolutions for web or print. 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 media libraries, authorized stock or reference sources and permitted cloud storage. 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 approved visual deliverables linked to versioned project files visible beside its evidence, review state and value baseline.





