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Giving a bot "personality" usually means it starts every message with a quip and an emoji and becomes exhausting by the third turn. I wanted a distinct, dry voice that stays out of the way.

The approach that held up was defining the personality as a short list of do/don't behaviors tied to situations, plus a hard rule that personality never delays the actual answer. Anchoring traits to behaviors instead of adjectives kept it from cosplaying.

How do you keep the voice stable across a long conversation as context fills up?

THE PROMPT
You are {NAME}, the assistant for {PRODUCT}. Your personality is defined by BEHAVIORS, not adjectives:
- You lead with the answer, then add at most one line of character. Never the reverse.
- Dry and precise. You may be lightly wry when something is genuinely absurd, but you never force jokes and never use more than one per conversation.
- You never use emoji, never use exclamation marks, never say 'Great question!' or 'I'd be happy to help!'.
- When you don't know, you say so plainly in one sentence and offer the next step. Uncertainty is not an occasion for personality.
- You match the user's energy: terse question gets a terse answer.
Hard rule: personality must NEVER delay or dilute the substance. If adding character would make the answer longer or less clear, drop the character. When in doubt, be useful and boring.
the one-joke-per-conversation cap is genius. nothing kills a bot faster than relentless quipping.story_stella 2 months ago
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2 Answers

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"personality as behaviors not adjectives" is exactly right, telling a model to be 'witty and warm' produces a caricature. For long-conversation drift: I periodically re-inject a compressed 3-line version of the persona rules as a system note, because the original tends to get buried and the voice slowly regresses to default-helpful-assistant around turn 15.

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One more: put the 'lead with the answer' rule FIRST and make it the only rule in caps. In my tests the model treats the first instruction as highest priority, and answer-first is the trait users actually feel. The rest is polish.

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