ai-making-consistent
Make Your AI Consistent
Guide the user through making their AI give reliable, predictable outputs. This is different from "wrong answers" — the AI might be right 80% of the time but unpredictably different each run.
When consistency does NOT matter
- Creative generation — blog posts, marketing copy, brainstorming. Variation is a feature, not a bug.
- Already accurate — if the AI gives the right answer 95%+ of the time and downstream code handles minor format differences, do not over-constrain.
- Human-in-the-loop — if a person reviews every output, slight variation is harmless.
If the AI is consistent but wrong, use /ai-improving-accuracy instead — consistency without accuracy just means reliably wrong.
Step 1: Diagnose the inconsistency
Ask the user:
- What is varying? (the answer itself, the format, the length, the level of detail?)
- How bad is it? (slightly different wording vs. completely different answers)
- Does it matter for your use case? (sometimes variation is fine, sometimes it breaks downstream code)
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