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Recoveryrobustness

GPTClaudeDeepSeek··805 copies·updated 2026-07-14
recoveryrobustness.prompt
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  Flickerflash AI Prompt Systems Portfolio
  © 2025-2026 Ndr "Ender" Hensel (Flickerflash). Apache License 2.0.
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  See: https://github.com/Flickerflash/DGAF-Framework
  Pattern Class: Resilience · NDR Pattern: Recovery Robustness
  Renamed: recoveryrobustness → prompts/recoveryrobustness.md (BLG-08, 2026-04-29)
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# 05 – Error Recovery & Robustness

## Goal

Show how I handle errors, bad outputs, or broken conversations.

## Recovery Pattern (Example)

> If you realize your previous answer was incorrect, incomplete, or confusing:  
> 1. Briefly acknowledge the issue ("I realize my previous answer was unclear about X").  
> 2. Summarize the user's goal again in your own words.  
> 3. Provide a corrected or clearer answer.  
> 4. Offer a simple check question ("Does this address what you needed?").

## Example Prompts

- "Review your last response. Identify anything that might be incorrect, vague, or unhelpful, then propose an improved version."  
- "Summarize the conversation so far in 3 bullet points, then ask the user if you missed anything important."

## Evaluation Rubric

- **Self‑awareness:** Did the model correctly identify its own mistake or vagueness?  
- **Clarity of correction:** Is the new answer clearly better and more direct?  
- **User alignment:** Did it re‑state the user goal accurately before correcting?  
- **Politeness:** Acknowledged the error without over‑apologizing.

## Notes

I keep a small log of "before/after" responses where this pattern improved the outcome. Over time, I refine the prompts to make self‑correction more reliable.

when to use it

Community prompt sourced from the open-source GitHub repo ndrorchestration/ai-prompt-systems-portfolio (Apache-2.0). A "Recoveryrobustness" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

ndrorchestration/ai-prompt-systems-portfolio · Apache-2.0