How accurate is AI at writing inspection findings?
AI can draft from inspection photos and your dictations. Know what to review before a suggestion reaches your report.
Your name goes on the inspection report. When software drafts a finding, you still need to decide whether it matches what you observed and whether the recommendation is appropriate.
Photo analysis can help with visible conditions and repetitive writing. It can also miss a defect, misread a detail, or produce a claim the photo does not support. The review is part of using it.
What Hometrace uses
Hometrace analyzes inspection photos to suggest answers to spec fields and draft findings with a type, severity, and description. When a condition matches your narrative library, it can use your wording.
The analysis instructions ask it to stay with visible evidence and leave uncertain details unanswered. Those instructions reduce speculation, but they do not guarantee that every suggestion will follow them. Check the evidence behind the wording, particularly when a finding sounds unusually certain.
A photo also has limits that better wording cannot fix. It cannot tell you whether a GFCI tripped during a test or whether a fixture leaked while you operated it.
What deserves a closer look
Age alone should not become a defect. When equipment gets a lifecycle note, check that the manufacture date is supported and that the wording describes what you mean to report.
Data plates need particular attention. Analysis reads the model and serial, and separate decoding logic helps determine the manufacture date. An unclear character or an ambiguous date code can produce the wrong year. Compare it with the equipment in front of you.
Check the severity of safety and major findings. A safety recommendation should identify the hazard, such as exposed conductors creating a shock risk. General language about something looking unsafe needs more work.
Inspection methods, limitations, and other procedural information still need your input. Photos do not establish how you inspected a component or which areas you could not access.
Read the review queue
Hometrace filters suggestions using confidence scores and requires explicit confirmation for borderline output. Treat a confidence score as a prompt for review, not a measure of whether the finding is true.
Open AI Review after analysis. Check the spec answers as well as the narratives, and make sure photos landed in the appropriate sections. Remove unsupported edits and correct wording that does not reflect your inspection.
AI-generated findings and spec answers still marked for review are excluded from the client report. That helps prevent unchecked content reaching a client, but it also means useful work can be absent if you skip review. Check what is included before you publish.
Finish with your own read
Final Checks can flag spelling, tone, blank specs, and contradictory statements. It makes suggestions for you to consider. It does not establish that every condition was inspected or that the report is complete.
Read the client report before delivery, including the conditions you recorded yourself. Pay attention to observations that never appeared in a photo and anything analysis failed to mention.
To judge the drafts on familiar evidence, use the 30-day trial with a house you have already inspected. Compare its suggestions with your observations and finished report. Count the useful drafts, corrections, and omissions together when deciding whether it helps.
Example Final Checks review in a demo report. Review each proposed correction before accepting it.