[mickelsen]

When you have a flow well defined, like transactions going on, it simply doesn't scale. But AI can then be used for analysis, alerts and investigating failures of such processes very nicely. Agents can also be used to prepare a transaction package that needs more human input, like a customer service case, but again with clearly defined outcomes. At least that's what I've seen in my limited experience consulting for a local online retailer.

[laxmena]

That's exactly my process I follow now.

I look at the traces of agent execution, and use that as a feedback to extract common patterns. The comment patterns are extracted out as Scripts, or Skills.

So Agent doesnt have to figure out how to do things from scratch, saving considerable amount of tokens and latency.

I also came across this paper recently: https://arxiv.org/abs/2603.25158

Which does exactly the same. Extracts traces and converts them into skills for agents to use.