Complete AI Training

AI app for real estate and construction · no coding needed

Building energy fault localization service

Turn consumption anomalies into actionable professional investigation.

Made for: Facilities engineers

What Building energy fault localization service looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Meter anomalies do not reveal which approved subsystem to inspect.

What it gives you

Engineer-reviewed energy fault investigation brief

What you give it

Authorized submeter dataengineer-provided asset topology

How it works, step by step

  1. Locate correlated deviations
  2. Compare operating contexts
  3. Prepare technician investigation priorities
  4. Compare the reviewed result with the recorded baseline and value assumptions
  5. Capture corrections and named-owner approval before consequential use
  6. Export a versioned engineer-reviewed energy fault investigation brief 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 Building energy fault localization service 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 Building energy fault localization service 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 Cloudflare27 KB
  • prompt-vps.mdThe same build on your own server (Docker)27 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
  • demo/index.htmlThe working demo on sample data194 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

Turn consumption anomalies into actionable professional investigation

Confirm the buyer's problem and scope, collect authorized submeter data and engineer-provided asset topology, then follow this sequence: 1. Locate correlated deviations. 2. Compare operating contexts. 3. Prepare technician investigation priorities. Resolve uncertain cases with qualified reviewers, approve engineer-reviewed energy fault investigation brief, and measure verified metered savings minus investigation and repair cost 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. No automatic building controls or safety-critical diagnosis. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Verify property facts and scope assumptions. Clearly label visual alterations. Professional reviewers retain responsibility for contracts, engineering and legal interpretations. No automatic building controls or safety-critical diagnosis. 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: No automatic building controls or safety-critical diagnosis. Implement one approved input format, a bounded representative case set and the first two task modules: locate correlated deviations; compare operating contexts. Support the third module with operator review: prepare technician investigation priorities. 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

Property records, construction documents, project photos and supplier quotes. Permitted feeds, published document sources, email digests and internal briefing channels. Verify collection rights and source reliability before selling coverage commitments. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Permitted sources and watchlist, Dated change evidence, Reviewed alert and action history. Use a watchlist with source health and last-checked dates, a chronological change feed, and a reviewable briefing editor. Display original evidence beside each alert. Let users mute irrelevant topics and record whether a change led to action. Make the task-specific outcome engineer-reviewed energy fault investigation brief visible beside its evidence, review state and value baseline.