Travis Call 15D AGO

The ETHOS™ Framework (Evaluation Through Hierarchical Oversight of Sources) is a multistage forensic audit system designed to transform AI-generated research into “audit-ready” ground truth. Its five-stage lifecycle is designed to ensure technical precision: Step-by-step: 1. EXTRACT (Stage 1): Using the Ground Truth Manifesto and the six-tier Authority Ladder, ETHOS extracts structured tax reports from multiple LLM archetypes: Technical Specialists, Strategic Advisors, and Operational Drafters. This forces their initial findings to follow a strict legal hierarchy. 2. TEST (Stage 2): The Tax Citation Auditor subjects the reports to a three-pass forensic review, testing every citation for existence, pinpoint accuracy, and application fit. Any citation that cannot be verified in a primary repository is immediately downgraded or flagged. 3. HEAL (Stage 3): The Post-Audit Correction Protocol (PACP) repairs the evidence chain by requiring the LLM to resolve flagged citations, replace fabrications with 3–15-word verbatim micro-quotes, and revalidate all “knock-on” effects across downstream computations and thresholds. 4. ORGANIZE (Stage 4): The Human-in-the-Loop (HITL) controller organizes the pre-audit and post-audit artifacts in a consolidated AI sandbox, such as Google Notebook, Claude Cowork, or Perplexity Spaces. This manages the collectively exhaustive data, elevates mutually exclusive advisory angles, and maintains institutional version control. 5. SYNTHESIZE (Stage 5): ETHOS applies MECE principles (Mutually Exclusive, Collectively Exhaustive) and the Weighted Authority Confidence Index (WACI) to adjudicate model conflicts and synthesize a single ground-truth memo. Every load-bearing conclusion is certified for release.