Examples, iteration and getting past “average”

Beginner⏱ 11 min
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Use examples and short feedback loops to push the AI from generic to excellent.

In this lesson you’ll learn to

  • I include examples of what good looks like
  • I iterate: many options → best → variations
  • I ask for different angles
  • I restart with a clean brief when results drift

Show, don’t only tell

Giving one to three examples (“few-shot prompting”) teaches tone and structure better than adjectives. Paste your best-performing ad or email and say what makes it good.

Iterate in small steps

• Ask for many options (10–20 headlines).

• Pick the best three and explain why.

• Ask for variations of those three only.

• Ask the AI to critique its own work against your checklist, then improve it.

Give it a point of view

Ask for different angles: “one pain-focused, one outcome-focused, one proof-focused, one urgency-focused”. Or ask it to argue against your plan to find weak spots.

Start fresh when needed

Long conversations can drift. When results degrade, start a new chat with a clean, complete brief that includes what you learned.

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