Instruction Drift: Why AI Forgets Your Rules Mid-Draft.
AI starts on-brief. Then it slowly forgets. By paragraph six it's doing exactly what you told it not to. That's drift — and it's built into how these models work.
What instruction drift is
Instruction drift is the gradual erosion of your rules as an output gets longer. The model's attention on your early instructions shrinks relative to the new text it's generating. The rules don't get rejected — they fade. The longer the draft, the further it slides back toward generic patterns.
- ›Instructions get diluted in longer prompts
- ›Tone shifts over multiple edits
- ›Structure breaks when content is expanded
- ›Details get rewritten unintentionally
Why it happens
None of this is a prompting mistake. Models are built to generate plausible language, not to hold a rule across thousands of tokens. A single prompt can't fight drift — it's the thing that drifts.
How OpusDraft stops the drift
OpusDraft doesn't rely on a single prompt. It separates what you want written from what is allowed, then audits every result against your rules: tone, structure, key facts, formatting. What drifts is repaired where the repair pass can do it, and reported where it could not.
See it catch a mistake
An AI that audits every output against your rules — and repairs what it can before you see it.
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