The most common way people use AI tools is to ask for one answer and accept whatever comes back. It works—but it consistently produces the most predictable version of a response rather than the best one.
Adding three words changes this: “Give me 3 versions.”
Why one answer is usually the obvious answer
Large language models generate responses by following the highest-probability paths through their training data. When asked for a single response, the model moves directly toward the most expected answer for that request—the one most statistically similar to what appeared most frequently in training. This produces responses that are technically correct and broadly appropriate, but safe and predictable.
Requesting three versions forces a different behavior. The model generates the first obvious response, then must produce two more that are meaningfully different. By the third version, it has already used the safe and expected options and is operating in less predictable territory—which is often where the most useful or creative responses appear.
How to use it
Add “Give me 3 versions” to the end of any request. The phrase works with most task types and doesn’t require additional instructions.
For more control over what differentiates the versions, specify the angles: “Give me 3 versions—one professional, one casual, one direct.” This guides the model toward specific variations rather than leaving the differentiation implicit.
When it’s most useful
The technique produces the largest improvement on creative and subjective tasks where multiple valid approaches exist:
- Writing tasks—email subject lines, opening paragraphs, headlines, taglines, calls to action. The obvious version is rarely the most compelling.
- Naming—product names, project titles, feature names. The first suggestion is almost always generic; later versions explore less obvious territory.
- Explanations—explaining a concept at different levels, from different angles, or using different analogies. Version 3 often produces the most memorable framing.
- Planning—asking for three different approaches to a problem or goal surfaces options you might not have considered.
What to do with the three versions
In practice, version 3 is often the most useful—but this isn’t universal. Sometimes version 1 is exactly right. The value is in having genuine options rather than accepting a single response. Pick the best one, combine elements from multiple versions, or use them as starting points for further refinement.
Works in any major AI
The technique functions identically in ChatGPT, Claude, Gemini, and any other major language model. The underlying mechanism—forcing the model to generate multiple distinct responses rather than a single expected one—is consistent across implementations.