@omarsar0: Great tips. In practice, this is how it roughly looks to run agents autonomously for hours or days. /goal or /loop to k…

Great tips.

In practice, this is how it roughly looks to run agents autonomously for hours or days.

/goal or /loop to keep it going.

Verification is crucial here.

We are going to go deep into this in the next couple of weeks in the academy.

Join us: https://academy.dair.ai/events

I wanted to add an extra note to this, as there is a bit too much hype on the agent loops stuff. This works great for maintaining codebases and things that can be verified easily (in other words, where you can set clear conditions that the agent can meet). However, for a lot of other domains and real-world use cases, human in the loop is necessary. So I think a better approach is designing loops that support autonomous runs while enabling easy human collaboration and inputs. That’s what I have been working on recently, and I think it’s important to combat AI slop, which I am afraid these naive loops will generate purely from an AI model’s capability and lack of knowledge and world understanding.

The current “loop” conversation is mostly assuming conditions that can be automatically verified. Human-verified can be baked in as well, like an escalation trigger, but from my experience with coding agents on a loop, they aggressively escalate to humans if that option is there, so this has to be set up carefully.

Exactly. Lots of sloppy code getting generated for sure.