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AI Prompt Engineering · Lesson

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

  1. Reading and Evaluating AI Outputs
  2. Writing Effective Follow-Up Prompts
  3. Building on Previous Responses
  4. When to Refine vs Start Fresh
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