AI Guides › Prompting

The One Follow-Up Question That Improves Almost Any Answer

By Nigel Guy · 2 min read

Most people treat the first answer as a finished object: either it's good enough to use, or it isn't and you rewrite the prompt from scratch. Neither response makes use of the fact that the model made real choices while producing that answer — what to include, what to leave out, how deep to go — and those choices are recoverable just by asking about them.

The rule: ask what was left out and why, before you ask for anything else — a single targeted follow-up does more for the answer's quality than a second attempt at the original prompt.

The mechanism: the omission question

  1. Get the first answer, as normal.
  2. Ask directly: "what did you choose not to include here, and why?" Not "is this complete?" or "anything else?" — a specific instruction to report the choices already made, not to guess at new content.
  3. Read the list of omissions on its own terms. Some will be genuinely irrelevant to your case; some will be things the model correctly guessed you didn't need. That's fine — the point isn't that every omission is a flaw.
  4. Decide which flagged omissions actually matter for what you're using this for. The model doesn't know your full context, so it can't make this call — it can only tell you what it left out.
  5. Ask for a revision addressing only the omissions you've decided matter. Naming them specifically gets a tighter fix than resending the whole original prompt.

What to skip

Skip the vaguer version of this question — "is there anything I'm missing?" tends to produce padding rather than the actual list of deliberate choices behind the first draft. Skip this step entirely for simple factual lookups, where completeness isn't really ambiguous and there's nothing meaningful to have left out.

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