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Pathway: High Synthesis, Low Agent Collaboration
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== Common Pitfalls == * '''Treating agent collaboration as "just multi-prompting."''' You're good at getting insights from AI, so you may assume agent collaboration is just more of the same. It's not β it's about designing roles, managing handoffs, and building systems. The mental shift from "getting answers" to "orchestrating agents" is the hard part. * '''Over-synthesizing, under-building.''' Your strength in synthesis can keep you in analysis mode β reading, comparing, evaluating β without moving to building actual workflows. At some point, you need to design and run a multi-agent process, not just think about it. * '''Skipping the basic agent exercise.''' If you score high on Insight Synthesis, you may feel that [[Your First AI Team Meeting|AC-Basic-01]] is beneath you. It's not. The exercise introduces a mental model (role-based AI interaction) that's fundamentally different from single-query synthesis work. Don't skip the foundation. * '''Applying old patterns to new territory.''' You may try to use your synthesis skills (asking AI good questions, evaluating output quality) as a substitute for agent collaboration skills (defining roles, managing context boundaries, designing handoffs). Both matter, but they're different muscles.
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