✍️ The Science of Prompting

Most prompting advice online is based on myths, hacks, and recycled Twitter threads.

So I read 24 research papers on prompting, reviewed best practices from Anthropic, OpenAI, and Google, and combined them with my own experience implementing AI systems inside companies, including Fortune 500 environments.

This guide shows you how to prompt AI properly: what actually works, what does not, and how to know when prompting is not enough.

Inside, you’ll learn:

✅ The prompting myths that research has debunked

✅ How to write prompts that give the model better context

✅ Which techniques actually improve output quality

✅ How to make AI answers easier to verify

✅ When to use sources, retrieval, tools, evals, or human review

✅ How to decide whether an AI output is safe to use

This is not a prompt pack.

It's a 89 pages, research-backed guide for people who use AI for work and need the output to be reliable and consistent.