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Fact-checking & verification

Jottler employs a dedicated Fact-Checker AI agent to ensure the accuracy and credibility of all published content. This anti-hallucination engine is a critical component of Jottler's 12 specialized AI agents, working to produce deeply researched and publication-ready articles.

How Fact-Checking Works​

The Fact-Checker agent operates by:

  • Cross-referencing claims: Every statistical claim, date, and factual assertion within an article is cross-referenced against the original research sources.
  • Removing unsourced data: Any unsourced or hallucinated data is flagged and removed before publication.
  • Flagging unsupported assertions: Claims that cannot be verified by the provided sources are identified and addressed.

This rigorous verification process ensures that Jottler's content maintains credibility and trust, making it suitable to become source material for AI models and to outrank competitors.

Technical Accuracy for SaaS Topics​

For technical SaaS topics, Jottler's multi-step pipeline includes a dedicated fact-checking pass to ensure accuracy. The system researches each topic using web sources and your provided product documentation to maintain technical correctness.

Speed and Efficiency​

Despite the thorough verification process, the entire 4-phase pipeline—research, digest, outline, and write—typically completes in around 60 seconds. This includes crawling 14+ sources, planning 12 sections, and fact-checking 23 claims before publishing the final article.