AI app for creatives · no coding needed
Pattern repeat engineering desk
Production-oriented repeat checking before fabric sampling.
Made for: Textile surface designers

What it does for you
The problem
Attractive motifs fail at repeat seams and production scale.
What it gives you
Printer-reviewed repeat proofs
What you give it
Owned motifsprinter specifications
How it works, step by step
- Build repeat alternatives
- Detect edge seams
- Preview scale
- Check color limits
- Record printer feedback
- Export proof tiles
What you see on screen
- Motif canvas
- Repeat inspector
- Production proof
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 Pattern repeat engineering desk 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 Pattern repeat engineering desk 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 links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 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
For textile surface designers, turn owned motifs and printer specifications into printer-reviewed repeat proofs. Address this specific problem: attractive motifs fail at repeat seams and production scale. The aim: production-oriented repeat checking before fabric sampling. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.
The buyer creates a project, supplies owned motifs and printer specifications, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final printer-reviewed repeat proofs before use. Retain source links and a version history for the next cycle.
How the AI works
Suggest repeat arrangements; use geometric seam checks. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
Safeguards
Protect supplied asset rights, client approvals and product fidelity. Do not reuse private client assets across accounts. Raster tile export for one printer profile. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.
What to build first
Costed pilot: Raster tile export for one printer profile. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: build repeat alternatives; detect edge seams. Support the third task through an assisted review queue: preview scale. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of printer-reviewed repeat proofs. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
What it can connect to
Existing artwork, campaign systems and client approval processes. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Begin with uploads and exports of owned motifs and printer specifications. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
The screens in detail
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. Open with motif canvas; move into repeat inspector for the detailed task; finish in production proof for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.





