Tesla has cracked a major challenge in scaling autonomous robotaxi fleets—letting vehicles handle their own diagnostics. Here's the clever part: instead of waiting for human technicians to interpret fuzzy passenger complaints, the system converts rider feedback into actionable maintenance signals. A rider mentions the suspension feels off? The car logs it, analyzes the sensor data, flags it as a potential issue and queues itself for servicing. This feedback loop transforms vague observations into precise repair triggers, enabling driverless fleets to operate at scale without constant manual oversight. It's automation all the way down—from the driving to the diagnostics to the maintenance scheduling. The result? Robotaxi operations become leaner, faster, and actually viable as a business model. No fleet manager bottleneck, just machines keeping themselves roadworthy.