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Instructing an agent to write an email is a standard task, but a more effective approach involves guiding the agent in composing the email by breaking it down into distinct sections. Each section - subject line, body top, body middle, body bottom, and signature - is managed by a sub-agent under the main agent's direction.
To achieve optimal outcomes, view each LLM as a unique chip, akin to Intel or AMD, each necessitating slightly different instruction sets (LLM prompts) for peak performance. Understanding the fast-evolving landscape of "programming LLM's" resembles a layer cake framework, as shown below, with foundation models forming the base and libraries and tools appearing in multiple flavors. Pick the one that works for you.