Telemetry can include measurements such as response time, error rates, and which parts of an application handled a request. It gives operators a view of behavior after software is in use, when a problem may not appear in a controlled test.
For an AI product, useful telemetry can connect an observed failure to the surrounding application state without assuming that a model alone caused it. Collection should be limited to what is needed and handled with appropriate privacy and security safeguards. Telemetry is evidence for an investigation, not a complete explanation by itself.
ELI5
Software telemetry is the set of signals a product keeps about how it is working. Those signals help a team notice problems and see what happened around them.
For example, if an AI assistant suddenly takes much longer to answer, a record of response times can show when the slowdown began and which part of the service was affected. The team still has to investigate why it happened.
