Most AI output disappoints not because the model is weak but because the prompt is vague. Specific input produces specific output.
Role + task + audience + constraints
'You are a B2B copywriter. Write a 50-word LinkedIn post announcing X to a CTO audience. Avoid buzzwords, use one statistic.' That's a workable prompt. 'Write a LinkedIn post about X' is not.
Show, don't tell
If you have two examples of the style you want, paste them in. Few-shot examples beat lengthy adjective lists every time.
Iterate on the prompt, not the output
When the first output is wrong, rewrite the prompt rather than asking the model to 'try again'. The model can't fix what the prompt didn't specify.