validate

To fact-check a proposal draft, this Skill extracts explicit and implicit claims like numbers and dates, then cross-references them against a centralized DataStore repository to grade accuracy and flag inconsistencies. You receive a comprehensive forensic risk report for manual review.

Forensic claim extraction is the automated identification of explicit and implicit claims within professional documents, including numbers, dates, and superlatives. This process enables hierarchical validation by grading extracted claims against authoritative source documents as Validated, Unverified, or Contradicted.

Yes, automated fact-checking is designed for high-stakes professional content like investor-facing documents. The Skill performs risk assessment by assigning risk levels to unverified claims, prioritizing manual review to prevent financial or legal discrepancies in your drafts.

The best way to verify data integrity is running a comparative analysis against authoritative reference documentation. This Skill cross-references your decks and letters against a verified DataStore index, ensuring strict consistency and eliminating factual errors.

Yes, you need access to a centralized DataStore index and reference documentation to perform risk-based content audits. The Skill requires this verified source-of-truth repository to execute comparative analysis and generate accurate risk-based reporting for your drafts.

Hierarchical validation grades unverified claims by comparing them against a strict source-of-truth hierarchy within the DataStore. It assigns specific risk levels to unverified statements, allowing you to prioritize manual review for high-risk financial or legal content.