[jedisct1]

I use Swival’s /learn command at the end of a session to make it write down what it got wrong, how it fixed the issue, and what it should remember next time. Works pretty well.

It can update those notes automatically, but I’ve found that even with regular nudges, models are still somewhat reluctant to do it.

So manually running /learn every now and then, especially when I can tell it didn’t take the most direct path, helps.

[walmsles]

This is essentially ADRs — capturing what the agent learned and why. The manual trigger is the interesting constraint though; the hard part is teaching the agent to recognise the moment a decision worth recording has been made, without being asked. That's what the triggers/suppression definitions are trying to formalise — the when of capture, not just the what.