Six Principles for Production AI Agents

9 months ago

Invest in clear and detailed system prompts without relying on manipulation tactics.
Split context to provide minimal initial knowledge and fetch more as needed to avoid hallucination and high costs.
Design tools carefully with straightforward interfaces and limited parameters to avoid misuse by LLMs.
Implement a feedback loop with actors for creativity and critics for strict validation to ensure quality outputs.
Use LLM-driven error analysis to review logs and improve the system by identifying common failures.
Address frustrating agent behaviors by debugging system issues like missing tools or unclear prompts rather than blaming model limitations.

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