MQ-EVA — Independent AI Evaluation Assurance: a framework for determining whether AI performance claims can be trusted
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Updated
Aug 13, 2026 - Python
MQ-EVA — Independent AI Evaluation Assurance: a framework for determining whether AI performance claims can be trusted
File format and JSON Schemas for TEVV-Athlon Framework assessments (NIST AI 200-2 initial public draft). Independent project; not affiliated with or endorsed by NIST.
Enterprise AI Governance & Safety Engineering Portfolio — NIST AI RMF 1.0 (NIST AI 100-1) operationalization, TEVV evaluations, and interactive web suite.
Evidence-bound verification for AI tools — specific claims, reproducible evidence, explicit boundaries.
Evidence-driven capability maturity assessment for agentic software development telemetry and controls. Built by @tristan-nextcz.
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