Adding explicit negative constraints reduces LLM workflow failures

1. Identify conversational filler and generic transitions in your current LLM outputs.
2. Create an explicit list of banned phrases, such as meta-intros like 'Sure! Here is...' or generic transitions.
3. Incorporate these negative constraints directly into your prompt templates to restrict the model's output behavior.