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:

1. What is varying? (the answer itself, the format, the length, the level of detail?)
2. How bad is it? (slightly different wording vs. completely different answers)
3. Does it matter for your use case? (sometimes variation is fine, sometimes it breaks downstream code)