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.
A verification habit that takes 60 seconds
Checking everything is as bad as checking nothing Re-doing the work to verify the AI defeats the point; trusting it blindly eventually burns you. The middle path is risk-weighted checking: spend your attention where a mistake would actually cost something. The three things worth checking Numbers and names. Anything specific — figures, dates, people, product […]
When the same prompt gives different answers
Variation is the design, not a fault Run the same prompt twice and you will often get two different answers. People assume something is broken. Nothing is: generation involves deliberate randomness, which is what makes the output feel natural rather than robotic. The practical question is whether that variation matters for your task — and […]
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 […]