ai-checking-outputs

Name: ai-checking-outputs
Rating: 5 (6 reviews)
Author: lebsral

Verify and validate AI output before it reaches users. Use when you need guardrails, output validation, safety checks, content filtering, fact-checking AI responses, catching hallucinations, preventing bad outputs, or quality gates. Also used for - AI output looks right but is wrong, how to validate JSON from LLM, LLM returns invalid data, catch bad AI outputs before users see them, output quality

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/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

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#llm #ai

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Check AI Output Before It Ships

Guide the user through adding verification and guardrails so bad AI outputs never reach users. The pattern: generate, check, fix or reject.

Step 1: Understand what to check

Ask the user:

What could go wrong? (hallucinations, wrong format, offensive content, missing info, factual errors?)
How strict does it need to be? (reject bad outputs vs. try to fix them?)
What's the cost of a bad output reaching users? (annoyance vs. legal/safety r

[Description truncada. Veja o README completo no GitHub.]

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