Complete AI Training

AI app for it and development · no coding needed

Small-business automation maintenance

Ongoing operational reliability across a defined automation estate.

Made for: Small agencies using many business integrations

What Small-business automation maintenance looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Automations break silently after upstream changes.

What it gives you

Maintained workflows and monthly reliability report

What you give it

Authorized workflow definitionsexecution records

How it works, step by step

  1. Monitor executions
  2. Detect schema changes
  3. Retry safe operations
  4. Reconcile duplicates
  5. Alert workflow owners
  6. Update runbooks

What you see on screen

  • Health dashboard
  • failure queue
  • maintenance history

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 Small-business automation maintenance 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.

Sign in Become a member

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 Small-business automation maintenance with you.

Have Nexibeo build it

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 criteria14 KB
  • demo/index.htmlThe working demo on sample data198 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 small agencies using many business integrations, turn authorized workflow definitions and execution records into maintained workflows and monthly reliability report. Address the recurring problem: automations break silently after upstream changes. The pilot measures successful runs and recovery time against the buyer's current method, before the larger build.

Scope one technical task, inspect authorized material, propose an implementation, build in a controlled environment, run relevant checks, obtain the required change approval, deliver with recovery instructions, and monitor the agreed operating scope. Start with authorized workflow definitions and execution records and finish with maintained workflows and monthly reliability report.

How the AI works

Explain code or configuration, draft transformations and propose technical changes. Execute deterministic validation and meaningful tests. Engineers review correctness, access handling and failure behavior before deployment.

Safeguards

Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

What to build first

Begin with small agencies using many business integrations and one recurring use case. Build the first two modules: monitor executions; detect schema changes. Provide operator assistance for the third module: retry safe operations. Deliver maintained workflows and monthly reliability report through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

What it can connect to

Authorized repositories, technical documentation, application APIs and logs. Approved repositories, application APIs, execution platforms and monitoring systems. Validate current API access and behavior during discovery before promising compatibility. These are candidate integration categories, not verified supported connectors.

The screens in detail

Show a work backlog, proposed changes and verification results. Link each item to its source configuration, code or data mapping. Provide execution logs and an owner-facing health view. Keep environments and approval states clearly separated so a draft cannot be mistaken for a live change. In this product, the first view is health dashboard, followed by failure queue and maintenance history.