Pit Stop
Pit Stop is a mobile-first AI vehicle diagnostic assistant that helps drivers understand car problems before visiting a mechanic.
Core trick
Asks targeted follow-up questions, validates uploaded photos with a vision model, then generates a diagnostic report with likely causes.
Description
Pit Stop is a mobile-first AI vehicle diagnostic assistant that helps drivers understand car problems before visiting a mechanic.
Instead of giving generic advice, Pit Stop runs a guided investigation. Users describe a symptom, such as brake grinding or an engine noise, and the app asks targeted follow-up questions to narrow down the issue. It then uses an interactive car model with hotspots to show exactly where the user should inspect or take photos.
The app validates uploaded evidence, rejects unclear images, and guides the user toward better photos when needed. Once enough information is collected, Pit Stop uses AI to generate a clear diagnostic report with likely causes, urgency level, safety guidance, and recommended next steps.
Each vehicle has its own saved history, so users can track past issues, revisit diagnoses, and ask follow-up questions. The goal is to make car troubleshooting clearer, safer, and less intimidating for everyday drivers.
README excerpt
# Pit Stop **Autonomous vehicle diagnostics powered by Claude Opus 4.7** Pit Stop turns a vague driver complaint into a structured diagnostic investigation. A user can say something as simple as "I hear a grinding sound when braking," and the app will clarify what matters, request the exact photo it needs, guide the user with a 3D vehicle hotspot, inspect visual evidence, and produce a garage-ready diagnostic brief. This is not a themed chat UI. Pit Stop is an Opus 4.7 investigation loop wrapped in a practical product experience. ## Why Opus 4.7 Matters Vehicle diagnosis is messy. Drivers describe symptoms imprecisely, photos are often incomplete, and a premature answer can be actively dangerous. Pit Stop uses Opus 4.7 where a smaller linear assistant breaks down: staying oriented across multiple turns, deciding what evidence is missing, rejecting insufficient evidence, and producing a structured conclusion only after it can defend the diagnosis. Opus 4.7 is used as the diagnostic engine for: | Capability | Pit Stop Behavior | Why It Wins | | --- | --- | --- | | Long-horizon investigation | Maintains known facts, prior questions, evidence requests, and final diagnosis state across turns | The agent stops looping and behaves like an investigator, not a chatbot | | Multimodal reasoning | Reads symptom text and uploaded vehicle photos in the same diagnostic context | The diagnosis is grounded in both driver-reported symptoms and visual evidence | | Evidence planning | Ask