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Common AI Agent Mistakes and What to Do Instead

Agents & MCPAdvanced@bashi_fuirkashisaved AUG 18

◇ Could this help me?

Yes. Narrow tool scopes, explicit state outside the model, deterministic steps in real code, and a human gate before high-risk actions are the practices that actually separate a reliable agent from a demo. The advice against reaching for multi-agent by default is correct and unusually well calibrated for this format. This is a general practice.

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Audit the agent in this codebase against these criteria and report each gap with a concrete fix: are the tools narrowly scoped, is state controlled explicitly in code rather than held by the model, are deterministic steps implemented outside the model, is any multi-agent structure justified by genuinely separate roles and permissions, is there an evaluation dataset covering tool selection, task completion, cost, latency, and failure recovery, and is there a human approval gate before high-risk actions.

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