Prompt Engineering
The structure, context, and examples that turn a vague prompt into reliable output.
The Six-Part Prompt Order That Stops AI From Guessing
A messy long prompt fails for the same reason a messy meeting agenda fails — order, not length, is the fix. The five-part structure that gets it right first try.
Tip #017Treat AI Like a New Hire — Better Prompts in One Mindset Shift
A one-line prompt gets you a generic answer for the same reason a one-line brief to a new hire does. The context-first mindset that fixes both.
Tip #018Stop Describing the Output — Show It Examples Instead
Describing the format you want in words is slower and less reliable than showing the model two or three examples — the few-shot prompting trick, explained.
Tip #119Match the Model Tier to the Scope
Classify every task from trivial to epic before you pick a model — fast tiers for one-line fixes, deep reasoning tiers for architecture — and stop paying flagship prices for typo fixes.
Tip #120End Every Prompt With a Do-NOT Section
Why a 3-line Do-Not section at the end of your prompt stops AI agents from over-building — plus which boundaries to set and where permanent ones belong.