AISecOps (AI Security Operations) framework for deterministic verification of AI systems. QWED verifies LLM outputs using math, logic, and symbolic execution — creating an auditable trust boundary for agentic AI systems. Not generation. Verification.

🎓 Free course on deterministic AI verification and AISecOps. Learn fail-closed AI architecture, formal verification, audit integrity, MCP security, and trust-boundary engineering with QWED-AI.

Deterministic reasoning assurance engine for AI agents. Fast (<5ms), zero-cost verification. Best-in-class for arithmetic, logic, and hallucination detection.

MCP server that gives Claude a review council - other LLMs fact-check responses before you see them

TriTai 三才 - 零 Token AI 防幻觉引擎，基于太极哲学的 LLM 输出验证系统，集成 WFGY 规则引擎和知识图谱

Rage-quit your flaky DB regressions — modern, lightweight, multi-DB regression testing

Research-backed AI self-audit skill for Claude Code / Codex / OpenClaw. Verifies high-stakes answers via independent re-solve + cross-method probe — not by critique. Honest about limits; every design choice has a paper citation.

Reference implementation and notebook companion repository for “Verified LLM-Assisted Process Planning for Capability- and Skill-Based Modular Plants”.

Algorithmic problem generation + deterministic verification pipeline using LangGraph + Claude. 19 algorithm × 4 invariants symbolic verifier catalog. Phase 2c: 82.5% gate pass, 100% samples engaged, +55pp vs single-LLM baseline.

Verification for Universal Commerce Protocol (UCP) transactions - Catch AI math errors before payment

Verify LLM output against your source documents. Catch hallucinations in RAG pipelines and agentic workflows before they reach users.

Production-grade epistemic verification for AI agents. Checks semantic compliance, policies, adversarial risks, and reasoning lineage before irreversible actions.