Four layers of information
| Layer | Examples | How we treat it |
|---|---|---|
| Primary public data | City permits, Austin Water rules, NWS forecasts, TDLR/TDI requirements | Source URL + update timestamp wherever practical |
| Property context | Address, permits, satellite view, homeowner-supplied system ages | Used to personalize the assessment; not all fields are independently verified |
| Risk heuristics | Older HVAC + cooling symptoms; known leak + persistent odor | Prioritization only, not a failure probability or diagnosis |
| Commercial data | Vendor services, contractor quotes, pricing and lead requests | Kept distinct from the risk score and disclosed where a referral relationship exists |
How we handle uncertainty
If the public source does not support a precise claim, we do not manufacture precision. The site may say that a professional inspection is reasonable, that an item should be monitored, or that no professional service is currently indicated.
Pricing methodology
Austin-specific price benchmarks will be published only when the dataset is large enough to disclose the sample size, time window, geography and scope definitions. Until then, we distinguish third-party published ranges from Austin Home Intelligence proprietary benchmarks.
Provider relationships
Provider compensation must not change the underlying risk score. When a homeowner asks to be contacted, the site can send the property file to a relevant provider. Commercial relationships should be disclosed on the provider or referral surface.
AI and automated analysis
When AI is used to summarize homeowner inputs, photos, quotes or local data, the output should be treated as decision support. High-stakes legal, insurance, structural, environmental and safety questions should route to the appropriate licensed or authoritative professional.
See the methodology applied to your house.
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