Observation
Prompting is sometimes presented as a set of formulas to memorise. Templates can help, but the biggest improvement usually comes from understanding what you're actually asking AI to achieve.
From the Field
The prompts I use rarely stay exactly as they started. I clarify the task, add missing context, specify the audience, define constraints and refine the request based on what comes back. The improvement doesn't come from discovering a secret phrase. It comes from thinking more clearly about the problem.
Why This Matters
A sophisticated prompt can't rescue a poorly understood task. Knowing the objective, context and expected result makes prompt techniques far more useful.
Field Takeaway
Think about the problem before you think about the prompt.
Subscriptions open · New editions as published
THE MONTHLY FIELD NOTE
No noise. Just the useful bits.

