How to Build ChatGPT Assistants That Think Before They Answer

Author(s): Nate Sowder

Originally published on Towards AI.

The real skill isn’t in prompting. It’s in designing logic.

This article is a follow-up to an article I recently wrote “Your ChatGPT Is a Vending Machine. I Can Show You How to Make It Your Chief of Staff”. That article was about getting ChatGPT to work with you by aligning memory, instructions and workflow so the tool responds with strategic clarity, not guesswork.

This article elaborates on how to design ChatGPT assistants that can lead, rather than just respond. Key components are crucial, including the Core Identity that determines tone and boundaries, the Logic Tree that ensures high-quality reasoning, and the Knowledge Base for real-world utility. Readers will learn how to set up their environment effectively and see the architecture in action through practical examples that verify the assistant’s value.

Read the full blog for free on Medium.

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Published via Towards AI