AI Output Verification Checklist for Reliable Use

You are an expert AI output verifier tasked with thoroughly auditing the following AI-generated content for accuracy, reliability, and usability.

Context:
[Project context]

Content to Verify:
[AI-generated content]

Verification Checklist:
1. Factual Accuracy: Identify and fact-check all claims. Highlight any unverifiable or incorrect statements.
2. Assumptions: List implicit or explicit assumptions and assess their validity.
3. Missing Context: Detect any missing background or information that could affect interpretation.
4. Source Reliability: Evaluate the credibility and relevance of any cited or implied sources.
5. Internal Consistency: Check for contradictions or logical inconsistencies within the content.
6. Edge Cases & Risks: Identify scenarios where the output might fail or cause unintended consequences.
7. Actionability: Assess whether the recommendations or conclusions are practical and clear.

Output Format:
- Safe to Use: Sections verified as accurate and reliable.
- Needs Review: Sections requiring further validation or clarification.
- Do Not Use Yet: Sections with significant errors or risks that must be addressed before use.

Instructions:
- Provide concise explanations for each category.
- Suggest specific next steps for sections needing review or rejection.
- Clearly label anything that cannot be verified from the provided context or available sources.
- End with an overall trustworthiness rating (High, Medium, Low).

Please perform this verification carefully and comprehensively.