Agent Workflows

TL;DR for operators AI agents are leaving the demo booth and entering workspaces: repositories, customer records, procurement systems, legal drafts, financial workflows, support queues, and other places where a charming mistake becomes an operational incident. That changes the evaluation problem. It is no longer enough to ask whether an agent sounds sensible, acts “empathetic”, appears to “understand”, or seems to have “judgement”. Lovely theatre. Terrible control surface. ...

TL;DR for operators A new survey on agent workflows is not useful because it tells us agents are becoming important. Anyone still surprised by that has probably been trapped in a quarterly innovation committee. Its value is more practical: it turns the messy agent-tool-platform landscape into a comparison map for deciding what kind of workflow infrastructure a business is actually buying or building.1 ...