Flagship AI-assisted triage
Upload a photo of the damage — or try a sample — and get an instant AI report: what it is, how serious it looks, what to do next.
Free · No signup · ~60 seconds
Upload photos that tell the story
Aim for one wide shot, one mid shot, one close-up of the worst area, plus a source-area photo if safe. Tag each photo so the AI knows what it's looking at. Avoid faces, mail, or anything personally sensitive.
Opens your rear camera on mobile. On desktop, opens the file picker.
Photo coverage checklist
What type of damage?
Room or area
Time since event
Water source
What do you see? (select all that apply)
No upload needed. Tap a sample to replay a real Claude vision analysis of a bathroom water-damage event — watch the scan sweep each photo, then get annotated findings, IICRC category hints, safety flags, and a 3-horizon action plan.
Triage and documentation, not an inspection. Here is exactly what happens between upload and report — and where the hard limits are.
Start with one wide shot of the full room, one mid shot showing where the damage sits in context, and one close-up of the worst area. If the source is visible and safe to photograph (the leaking fixture, the pipe, the open ceiling), add a fourth image of the source area. Tag each photo as wide / mid / close-up / source — tagging gives the AI better grounding and produces more useful per-image findings. Better lighting and context improve confidence more than more photos do.
The named phases you watch — reading each photo, identifying damage categories, checking safety flags, building the action plan — mirror the actual structure of the streamed Claude vision analysis.
It will not confirm mold species, structural safety, insurance coverage, asbestos presence, or the exact contamination category from photos alone. Photo-based analysis cannot see hidden moisture inside walls, sub-floors, or insulation — that requires a moisture meter and infrared camera on-site. Every category hypothesis ships with explicit "what would increase confidence" notes so you know what still needs hands-on confirmation.
We do not collect your submitted data for marketing. Images are analyzed server-side via Anthropic and are not stored on our servers after analysis. Anthropic states that API inputs and outputs are automatically deleted within 30 days. Past-analysis history (headlines and small thumbnails) lives in your browser localStorage only — never uploaded to our servers. This tool is built for personal planning use, provided by Palm Build (palmbld.com) and built by Nine Lives Development (ninelives.dev).
No. This is a visual triage tool that identifies visible patterns in your photos and produces a structured next-step plan. It does not replace a professional inspection, moisture survey, mold test, or structural assessment.
It can identify visible spotting, staining, and discoloration patterns consistent with possible mold growth — but it cannot confirm mold species, distinguish mold from dirt or mineral deposit in many photos, or detect mold hidden behind walls. Surface testing or air sampling is required for confirmation.
For visible signs (staining, bubbling paint, warping, water lines, active moisture, spotting) accuracy is typically high when photos are well lit and include both wide context and close-up detail. For hidden moisture inside walls, sub-floors, or insulation, photos cannot detect anything — you need a moisture meter and infrared camera on-site.
This report is a documentation aid, not a claims determination. It can help you organize evidence, capture the right photos, and prepare questions for your adjuster — but it is not a substitute for an adjuster inspection or a certified damage assessment. Insurance carriers make coverage decisions based on policy language and field findings.
Start with one wide shot of the full room, one mid shot showing where damage sits in context, and one close-up of the worst area. If the source is visible and safe to photograph (the leaking fixture, the pipe, the open ceiling), add a fourth image of the source area. Better lighting and context improve AI confidence more than more photos do.
EPA and CDC guidance say mold can begin colonizing damp porous materials within 24 to 48 hours of water exposure. The AI Damage Analyzer surfaces a live mold-prevention window countdown based on the time since your event so you know whether you are still inside the prevention window or planning for remediation.
No. Visual color is not a reliable indicator of mold species — many non-toxic molds appear dark, and Stachybotrys chartarum (the species commonly called "black mold") cannot be confirmed without lab testing. The AI will flag visible spotting consistent with possible mold but will never name a species from a photo.
IICRC S500 (the industry standard for professional water damage restoration) classifies water by contamination level: Category 1 is clean water from a sanitary source; Category 2 is grey water that may contain contaminants; Category 3 is black water that is grossly contaminated (sewage, flood water, water sitting longer than 48–72 hours). The category drives PPE, demolition decisions, and reusable-vs-disposable scope.
CDC guidance recommends against unprotected DIY cleanup of sewage or flood water because of bacteria, viruses, parasites, and chemical contaminants. If you must enter the area, wear waterproof boots, gloves, eye protection, and an N95 respirator at minimum. The AI Damage Analyzer fires a deterministic contaminated-water safety flag when you select sewage or flood water as the source.
Images are sent to the Anthropic API for analysis and are not stored on Palm Build servers after the analysis completes. Past-analysis history (headlines and small thumbnails) is stored in your browser localStorage only — never uploaded to our servers. Anthropic states that API inputs and outputs are automatically deleted within 30 days.
When you tell the tool how long ago the water event happened, we map that to the EPA 24–48 hour mold-prevention window and show a live ticking countdown of how much of the window remains. The countdown turns amber when you are inside the second half and red when the window has been breached.
Yes. Every Palm Build tool is designed to produce a polished PDF and an email-friendly summary so you can share it with a spouse, landlord, property manager, insurer, or adjuster.
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