Refinement Behavior measures how effectively you iterate when AI's first response isn't perfect. The real skill is not starting over — it's giving precise feedback.
AI rarely gets it perfect on the first try. The real skill isn't "try again" — it's knowing exactly what's wrong and how to fix it. One good piece of feedback beats ten "try again" requests.
Instead of "try again," say "the tone is too formal — make it casual, like a Slack message." Point to the exact problem.
"The structure is good but change the intro" — when you separate what to keep from what to change, AI modifies only the necessary parts instead of rewriting everything.
Instead of "make it better," say "start the intro with Q3 revenue data." Concrete direction gets you to the right result in one iteration.
Before
Try again
After
The structure is good but the intro is too generic. Start with Q3 revenue data instead.
💬 Specifies what to keep (structure), what to change (intro), and the direction (Q3 data).
Before
Make it better
After
In the 2nd paragraph, you used "growth" three times. Replace with synonyms like "expansion" and "progress," and end the last sentence with data.
💬 Identifies exact location, specific problem, and solution direction.
Good refinement skills mean getting perfect results in just 2-3 AI conversations.
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