AI app for real estate and construction · no coding needed
Neighbor daylight scenario workspace
Reduce repetitive early design revisions by making tradeoffs visible.
Made for: Architects evaluating early-stage infill building options
What it does for you
The problem
Design teams struggle to explain how massing choices affect neighboring daylight conditions.
What it gives you
Architect-reviewed daylight comparison package
What you give it
Authorized site modelsmeasured orientationsupplied surrounding geometryagreed simulation settings
How it works, step by step
- Prepare traceable massing variants
- Compare shadow and daylight scenarios
- Produce stakeholder-readable assumptions and views
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned architect-reviewed daylight comparison package 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 Neighbor daylight scenario 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 Neighbor daylight scenario 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 links1 KB
- questions.mdQuestions to answer before you build3 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 criteria13 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
Reduce repetitive early design revisions by making tradeoffs visible
Confirm the buyer's problem and scope, collect authorized site models, measured orientation, supplied surrounding geometry and agreed simulation settings, then follow this sequence: 1. Prepare traceable massing variants. 2. Compare shadow and daylight scenarios. 3. Produce stakeholder-readable assumptions and views. Resolve uncertain cases with qualified reviewers, approve architect-reviewed daylight comparison package, and measure design-review cycles and preparation hours per accepted comparison 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. Concept design only; validated specialist tools and professionals handle formal compliance conclusions. 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. Concept design only; validated specialist tools and professionals handle formal compliance conclusions. 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: Concept design only; validated specialist tools and professionals handle formal compliance conclusions. Implement one approved input format, a bounded representative case set and the first two task modules: prepare traceable massing variants; compare shadow and daylight scenarios. Support the third module with operator review: produce stakeholder-readable assumptions and views. 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. Learning portals, calendar scheduling and authorized session exports. Make recording, sharing and retention controls explicit in the product. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Scenario designer, Interactive replay, Evidence and debrief. Use a scenario catalog with clear goals and difficulty settings. The main session area supports text, optional voice and visible context. Follow it with a replay or decision map, annotated feedback and a next-practice plan. Facilitators can author scenarios and review participant-selected sessions. Make the task-specific outcome architect-reviewed daylight comparison package visible beside its evidence, review state and value baseline.
