AI app for real estate and construction · no coding needed
Trade Triage
Tenant requests routed to the right trade the first time, cutting misrouted call-outs.
Made for: Property managers at build-to-rent operators and residential block managers
What it does for you
The problem
Tenant maintenance requests are misrouted, causing delays and wasted contractor visits.
What it gives you
Classified job list, ranked quotes, confirmed bookings, satisfaction ratings
What you give it
Tenant messagesphotosproperty filescontractor database
How it works, step by step
- Classify incoming tenant messages by trade and urgency
- Extract job details from photos and text
- Match with licensed contractors from a database
- Send standardized job briefs and parse quotes
- Present ranked shortlist for approval
- Send tenant confirmation and follow-up survey
What you see on screen
- Inbox
- Job detail
- Quote review
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 Trade Triage 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 Trade Triage 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 build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 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
For property managers at build-to-rent operators and residential block managers, turn tenant messages and photos into classified, quoted, and booked maintenance jobs. Address the recurring problem: tenant maintenance requests are misrouted, causing delays and wasted contractor visits. The value hypothesis is faster, more accurate triage and booking; the pilot must establish whether that benefit is real.
Tenant submits request, system classifies trade and urgency, cross-references contractor database, sends briefs, parses quotes, manager approves, tenant receives slot. Start with tenant messages and photos and finish with confirmed booking and satisfaction rating.
How the AI works
Use multimodal models to read text and images for classification and urgency detection. Use language models to parse contractor quotes. A property manager reviews the shortlist and approves the final booking before any commitment.
Safeguards
Limit to approved contractors, require human approval for all bookings, anonymize tenant data, and must not auto-book without manager sign-off.
What to build first
First buyer: one property management firm. Use case: inbound email triage only. Modules: classification engine and daily digest. Manual review of all classifications before any contractor contact.
What it can connect to
Email inbox, WhatsApp Business API, property management software (e.g., AppFolio), calendar systems.
The screens in detail
Use a dashboard list of incoming requests with status badges, a detail view showing tenant message, photos, classification, and suggested trade, and a quote comparison panel where contractors' responses are ranked. Allow the manager to approve with one click, triggering tenant confirmation. Display audit trail of classification and approvals.
