Generative AI prompts
Introduction
Generative AI is software that can generate text, summarize content, help write and revise documents, and assist with coding. It responds to the instructions you give it, which are usually called “prompts.”
On this page, I keep prompt patterns and reusable prompt blocks, plus links to the skills and foundations that make prompts work better in real projects. If you want prompts that support analysis work, start with Data Analytics and Statistics. If you want prompts that support coding and automation, start with Python. If you want a deeper understanding of how these systems work and where they fail, start with Machine Learning.
Platforms
These are the platforms where I have cultivated and tested prompts:
Using prompts for analysis and technical work
Prompts get more useful when you can ask precise questions and sanity-check the answers. That often means leaning on Data Analytics to define what you’re trying to measure, and Statistics to think clearly about uncertainty, outliers, bias, and whether a result is plausible.
When you want to turn prompts into something repeatable, Python becomes the bridge. It lets you run the same prompt workflow across files, evaluate outputs, and build small tools that keep the work consistent.
If you want to go beyond “prompting” and understand model behavior, limitations, and common failure modes, connect this page to Machine Learning.