ChatGPT: Reliable Results
The intermediate rung: give ChatGPT structure and examples, get output in the shape you need, and verify it before you use it.
From one good prompt to a team asset
The prompt that worked is worth keeping Most people rewrite the same prompt from scratch every week. The intermediate move is to treat a prompt that worked as a small asset: save it, parameterise it, and share it. Parameterise it Find the parts that change each time — the audience, the source text, the deadline […]
Prompts that survive being handed over
The prompt works. For you Here is a pattern that repeats everywhere: someone builds a prompt that works beautifully, shares it, and their colleague gets noticeably worse results from what looks like the same thing. The reason is almost never the prompt text. It is everything the author supplied without noticing — knowing what good […]
Deciding how much checking is enough
Checking everything is as wrong as checking nothing Unit 2 gave you a sixty-second verification habit. It works well for one output at a time. It falls apart at fifty, and what people do next is the interesting part: they either check nothing, or they check everything and lose all the time they saved. Neither […]
Knowing when you have outgrown the chat window
Four signs it is time for something more than a chat box Working in the chat interface is right for most people most of the time. But there is a point where it stops being the efficient choice, and recognising it early saves a great deal of tedium. You are pasting the same prompt more […]