Community

Share your best AI workflow. We could show it to 2M+ people.

Every day, we feature the community's top-voted AI workflow in The Rundown newsletter. One post will put you on the radar of top founders, hiring managers, and operators across the industry.

Welcome!

Use AI to Triage Commercial Vehicle Maintenance Reports

Commercial vehicle maintenance information is often fragmented across driver reports, warning lights, fault codes, inspections, repair records, and vehicle history. This makes it difficult for smaller fleets to decide whether a vehicle can continue operating, requires scheduled repair, or should be stopped immediately. We built TruckFixr Fleet AI to turn an unstructured driver report into a clear, reviewable maintenance action. The workflow begins when a driver submits symptoms, photos, fault codes, and vehicle information through a mobile-friendly form. AI and optical character recognition extract the relevant details and organize them into a structured maintenance case. The report is then evaluated alongside available vehicle history and previous repairs. The workflow provides decision support through three practical actions: continue operating while monitoring, schedule an inspection or repair, or stop and escalate for immediate professional assessment. Final safety decisions remain with authorized fleet or maintenance personnel. After an inspection or repair, the confirmed cause, work performed, and outcome are recorded, creating a more complete vehicle history for future cases. The general workflow can be recreated using a mobile form, OCR, a vehicle-history database, an AI model, automation software, and a human-review dashboard. Step-by-step: 1. A driver submits symptoms, photos, fault codes, and vehicle information through a mobile-friendly form. 2. AI and optical character recognition extract the relevant details and organize them into a structured maintenance case. 3. The workflow compares the report with available vehicle history and previous repairs. 4. The system provides one of three decision-support actions: continue operating while monitoring, schedule an inspection or repair, or stop and escalate for immediate professional assessment. 5. Authorized fleet or maintenance personnel make the final safety decision. 6. After inspection or repair, the confirmed cause, work performed, and outcome are recorded in the vehicle history. TruckFixr has used this approach to support more than 100 vehicle-issue resolutions in early fleet pilots, helping fleets identify problems earlier, prevent avoidable breakdowns, and keep vehicles moving safely.

Tools used
Industries
#truckfixr
2

Build a Driver Management System with AI and One-Click Booking

I built a Driver Management System with ChatGPT and Google. It stores client and driver information, including links, and lets me schedule jobs through a one-click booking wizard. The system also provides reports, helps me search for available drivers by licence type and other criteria, tracks available jobs, and includes a dashboard showing unassigned drivers. This is my first project with AI, and I love what I’ve been able to build. Step-by-step: 1. I used ChatGPT and Google to build a Driver Management System. 2. I added client and driver information, including links. 3. I created a one-click booking wizard for scheduling jobs. 4. I added reports and search tools for finding available drivers by licence type and other criteria. 5. I set up job tracking and a dashboard showing unassigned drivers.

Tools used
Industry
1