All questions
How do I prevent repetitive outputs across runs?
Track previous outputs and provide a ‘do not repeat’ list. Ask for novel angles and enforce diversity constraints (e.g., different frameworks or audiences). For content, include a uniqueness check step where the model compares against prior items.
In practice
Seed with an example of what ‘too similar’ looks like to calibrate the model.
Where to start
- 1Store prior outputs and hash them.
- 2Add a novelty instruction block.
- 3Run a self-comparison step pre-final.
- 4Spot-check with humans monthly.
deduplicate AI outputsavoid repetition LLMnovelty prompting