An AI repair assistant that autonomously checks your repair history, open recalls, and overdue maintenance before responding — and a product built end-to-end using GitHub Copilot agent mode.
Track every asset you own — vehicles, appliances, home systems — with AI that actually helps.
Point your camera at any appliance. Claude Vision extracts brand, model, serial number, and type automatically — no forms required.
Ask about a symptom. Claude autonomously decides which tools to call — checking your repair history, open safety recalls, and overdue maintenance — before crafting an answer specific to your asset.
Warranty expiration warnings, recall notifications for your vehicles, and maintenance reminders — computed from your actual asset data.
Upload manuals, warranty cards, and receipts. All stored and linked to the right asset — never lose a manual again.
Cars, trucks, refrigerators, HVAC systems, washers — every asset type in one place with asset-appropriate AI context for each.
Designed for the garage and the utility room. Bottom navigation, card-based layout, touch-friendly — works great from your phone.
Two distinct uses of agentic AI — one running in production answering user queries, one used during development to build the product itself.
get_repair_history — “you had the brakes done 8 months ago”get_open_recalls — “there’s an open recall on your brake booster — it’s covered for free”get_maintenance_status — “your brake fluid is 60 days overdue”Every production bug, wrong assumption, and wasted debugging hour is documented in the copilot-instructions.md file — 111 numbered pitfalls covering Aurora DSQL quirks, Lambda cold start gotchas, Mailgun credential types, and more. A real-world guide to agentic AI development that ships to production.
Standard AWS serverless pattern, chosen for operational simplicity and near-zero cost at indie scale.