My account of an internal chat with Xu Hao, where he shows how he drives ChatGPT to produce useful self-tested code. His initial prompt primes the LLM with an implementation strategy (chain of thought prompting). His prompt also asks for an implementation plan rather than code (general knowledge prompting). Once he has the plan he uses it to refine the implementation and generate useful sections of code.

An experienced technical author explores using ChatGPT to assist with a number of writing projects. He finds ChatGPT can provide time-savings through drafts and prompting for additional content, but lacks accuracy and depth - as well as suffering from bubbly optimism. Overall it is useful if you work iteratively, asking for small chunks with well-crafted prompts.

Asking Stable Diffusion for "portrait of technical author"