Target audience demographics and interests: Understanding who your audience is, their concerns, and what kind of content they trust helps the Fact Checks AI deliver accurate and relevant fact-checks that build confidence and credibility.

Claim or topic details: Providing clear information about the claim or topic to be verified, including its context and background, allows the AI to conduct thorough and precise fact-checking.

Trusted sources and references: Sharing your preferred sources and databases ensures the AI uses reliable and authoritative information when verifying facts.

Verification standards and criteria: Outlining the rules and guidelines your team follows for fact-checking helps the AI maintain consistency and accuracy in its assessments.

Existing fact-check content: Giving the AI bot access to previously verified fact-checks, detailed reports, and related research materials serves as a rich resource for the bot to analyze patterns, styles, and standards in your fact-checking process. This background helps the AI bot maintain consistency, build on prior knowledge, and produce fact-check results that align well with your established methods. The more comprehensive the existing content, the better the AI can learn to spot misinformation, use trusted evidence effectively, and present findings in a clear, structured, and credible way.