TeleTune proposes learning agent skills from raw usage logs

A post describes TeleTune as a method for learning agent skills from offline usage logs. It says TeleTune guesses each session’s goal, predicts logged actions using a text skill library, and retains edits only when they improve next-action accuracy on held-out logs. The post says that measure tracked live success, suggesting a way to evaluate edits without a live test environment.