When to Refine vs Start Fresh
Recognizing when a conversation is stuck and a clean slate is better.
The Sunk Cost Trap in Conversations
When a conversation is not producing good results, many users keep trying to fix it rather than starting over. This is the sunk cost trap — the longer you have spent on a conversation, the harder it feels to abandon it.
But sometimes the fastest path to a good output is to close the conversation and write a better initial prompt. Knowing when to make that call is a key skill in prompt engineering.
Signal 1: The Model Keeps Repeating the Same Mistake
If you have corrected the same error two or three times and the model keeps reverting to it, that is a strong signal to start fresh.
Common examples:
- You ask for bullet points, it writes prose, you correct it, it writes prose again
- You specify a technical audience, it keeps using beginner-level explanations
- You say no disclaimers, it keeps adding them
Repeated reversion usually means the instruction needs to be in the original prompt, not added mid-conversation.
All lessons in this course
- Reading and Evaluating AI Outputs
- Writing Effective Follow-Up Prompts
- Building on Previous Responses
- When to Refine vs Start Fresh