Detects structural prompt weaknesses before they affect production outputs — improving the quality, consistency, and reliability of every future generation across the pipeline.

Responsible AI auditing for LLMs and SLMs

Lightweight Agentic Communication Protocol (LACP) & Tribunal Consensus Specification. A Layer 7 application protocol and governance standard for secure, type-safe, and consensus-driven coordination between autonomous AI agents. Includes formal JSON schemas for Context and Vote objects used in the Tribunal sycophancy detection system.

A prototype for detecting sycophancy and power dynamics in educational platforms using cross-modal sentiment analysis.

Open-source epistemic audit for your Claude conversation history. Applies eight published AI-safety research frameworks (Spiral-Bench, Sharma sycophancy, SycEval, BeliefShift, ITP, MedTrust-RAG) and produces citation-validated HTML reports.