Wow, sometimes monitoring and handling AI Agents can feel like babysitting, or should I call it AgentSitting.
You give a /goal prompt to your agent, it starts well, you are getting good results, and yet it leads to some basic issues which need attending to.
You then realise it is time for a model update, then a server update, then a Agent update, which turns into a failing error for which Doctor --fix is not enough and you end up prompting until it survives the update and restart.
It is a process, and you learn along the way until you trust it (and yourself) enough to update cautiously but confidently as you do have backups and a good memory system in place.
How do you deal with updates and improvements?