Prompting well
Context, examples, structure and iteration: how to ask for what you actually want, and get it the first or second time.
6 lessons · about 1 hour
What’s inside
- 01Context: role, audience and goal
Most disappointing AI answers are context problems, not model problems: the five things an assistant can't guess about your task. · 10 min
- 02Being specific about format and length
How to describe the shape of the output you want, from length and layout to tone and where it will end up, so you edit less. · 9 min
- 03Showing, not telling: giving examples
How a few well-chosen examples (few-shot prompting) get you consistent tone, format and judgement faster than any description. · 10 min
- 04Structure: steps, headings and delimiters
How to lay out a longer prompt so the model can tell instructions from material, follow steps in order and keep the rules in view. · 10 min
- 05Iterating, critiquing and surfacing assumptions
How to turn a first draft into a strong one: specific feedback, critique against criteria, real alternatives and the assumptions behind the answer. · 10 min
- 06Reusable templates, and prompting each tool
How to turn prompts that work into templates your team can reuse, and how to adapt them to ChatGPT, Microsoft Copilot, Gemini and Claude. · 11 min
