The Command Toolkit
Most people ask AI questions. Commands work better. "Summarize," "Compare," "Rewrite," "Rank", this lesson gives you 8 ready-to-use command structures and shows you when to chain them.
The free lessons cover the fundamentals. These go into the techniques most people never learn.
Most people ask AI questions. Commands work better. "Summarize," "Compare," "Rewrite," "Rank", this lesson gives you 8 ready-to-use command structures and shows you when to chain them.
There's a difference between saying "act as a teacher" and actually building a character the AI can hold throughout a conversation. This lesson shows you how to write one from scratch.
When AI hedges or refuses, it's usually because your prompt was ambiguous, not because you hit a real limit. This lesson shows you how to reframe so you get a straight answer.
One big prompt asks the AI to do too much at once. Breaking it into a sequence of smaller prompts, where each answer feeds the next, gets you dramatically better results. This shows you how.
Once you find a prompt structure that works, turn it into a template with fill-in blanks. This lesson gives you five ready-made templates and shows you how to build your own.
Most prompts are twice as long as they need to be. This lesson teaches you prompt compression, getting the same quality output with fewer words, faster responses, and lower cost.
The AI has a limited memory. What you put in it, and what you leave out, determines whether you get a good answer or a confused one.
One prompt does one thing. A system of prompts does anything. This lesson teaches you how to build multi-step AI workflows that produce results a single prompt never could.
If you use the API or pay per message, every token costs money. This lesson teaches you how to plan your input and output token usage like a developer.
What if you could make the AI write your prompts for you? Meta-prompting is the technique of using AI to generate, test, and improve prompts. This is the endgame.
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