Heuristics
Claim Review
What source verification requires. Rigorous assessment of primary citations, evidence tracing, and evidentiary reliability before sign-off.
Reference Documentation & Protocols
Knowledge Categories
Structured classification taxonomy for forensic AI audit, empirical source verification, assumption detection, and contextual risk analysis.
Heuristics
Workflows
Missing Context
What was missing from the input data. Identifying structural context gaps, incomplete premises, and omissions that distort AI model conclusions.
Heuristics
Assumptions
What appeared in the output without a clear reason. Isolating ungrounded assumptions, speculative extrapolation, and unprompted logic jumps.
Protocols
Audience Fit
Is the result correct for the intended reader? Evaluating tone calibration, domain expertise alignment, cognitive load, and communicative clarity.
Protocols
Decision Risk
Can a decision be made based on this? Critical frameworks to assess liability, operational exposure, and risk before strategic implementation.
Workflows
Revision Cases
How human review improved the result. Step-by-step case histories demonstrating how editorial refinement transformed erroneous outputs into verified assets.
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Standard Forensic Evaluation Framework
All review categories adhere to the verified diagnostic taxonomy codified in our methodology documentation and clinical case library.