Five-tab field shell
Today, Sites, Reports, and Account around a raised Inspect action — big targets, high contrast, reachable one-handed with gloves in direct sunlight.
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K1 · Blueprint
Field-Service Companion
Capture the property once on site — AI grades the condition and the scored report is ready before you leave.
Inspectors lose the evening writing reports from a camera roll and their memory — and when a tenant disputes a deposit, there is no defensible grade to point at. The Field-Service Companion is a React Native starter built around the opposite workflow: walk the property area by area, capture against a checklist, and let a cloud vision model propose a condition grade with the photo evidence attached.
The flagship recipe is an AI site inspection app for property and facilities managers — move-in, move-out, periodic, and fire-safety templates. Construction snagging is the same shell with a pass/fail scoring model. Every screen, data model, and queue is wired the way we ship it for clients, and the repo boots on mock data with a stubbed analysis endpoint, so the full scored-report flow demos end to end before you connect a backend.
React NativeTypeScriptWatermelonDBCloud AI AnalysisMock Data
The solution
See it running.
Solution details
What’s inside the repo
The hard parts are already solved — the capture chain, the analysis queue, and the scored report are wired end to end, so you only build your domain on top.
Chain-of-custody capture
Photo, video, and burst capture with GPS coordinates, timestamp, and compass bearing stamped onto the image, plus voice notes for hands-free annotation.
Template-driven checklists
Move-in, move-out, periodic, and fire-safety templates define the areas and items. Each item carries its own state: empty, captured, analyzing, scored, or flagged.
Upload & analysis queue
Captures record locally and never wait on a signal. A retry-aware queue uploads on reconnect and reconciles the returned scores per item, so the walk is never blocked.
Cloud AI condition grading
A vision endpoint returns a condition grade, bounding boxes over the defects it found, severity, recommended action, and a confidence score. Ships stubbed with canned results — swap the URL for the real model.
AI proposes, the inspector decides
Nothing auto-finalizes. Every grade lands as a proposal with one-tap confirm or override plus a reason chip, so the human judgement is what reaches the legal report.
Downloads
Everything you need to build it.
Repo, designs, and docs in one place — the code, the Figma, the Claude design brief, and the PRD that scopes the flagship build.
- Starter repoRunnable React Native app — boots with mock data and a stubbed analysis endpoint.
- Product requirements (PRD)Scope, user stories, and acceptance criteria for the flagship build.
- Figma — UI kit & screensFull screen designs, components, and the pending/scored state system.
- Claude design briefThe prompt pack and “High-Vis Utility” design system used to generate and iterate the UI.
- Architecture docData model, upload and analysis queue, and the mocked-vs-production split.
Ready to ship Field-Service Companion?
Download the blueprint to prove the concept, then run a Trial Sprint — 1 week, 2 engineers, 50% cost — to take it to production.