Writing Effective Follow-Up Prompts

A follow-up prompt is not a complaint — it is a correction signal that steers the model toward a better output.

Effective follow-up prompts are specific about what was wrong and what you want instead. Vague follow-ups like "Try again" or "That's not quite right" give the model nothing useful to work with.

Learning a small set of course-correction patterns lets you fix almost any type of output problem quickly.

When a response is too long, verbose, or padded, use length-reduction patterns:

• "Make it shorter — aim for 100 words."
• "Remove the introductory paragraph and any filler sentences."
• "Summarize the above in three sentences."
• "Cut this by half without losing the key points."

Specificity helps: telling the model a target word count or a specific thing to remove is more effective than just saying "shorter."