<p>When we first start experimenting with AI agents in our automation workflows, it is easy to fall into the trap of building a generalist. We spin up an agent, give it access to half a dozen tools, point it at a vague prompt, and hope it figures out the rest.</p> <p>Most of the time, this approach fails. The agent gets lost in its own context window, misinterprets a tool output, or takes a destru
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