A deterministic verification layer for AI systems. QWED verifies AI outputs using mathematics, symbolic reasoning, and formal methods (Z3, SMT, SymPy), creating an auditable trust boundary for agentic AI. Not generation. Verification.

Capable, auditable coding that runs fully offline on a 16 GB machine. A verification-first layer (hard test execution, symbolic checking, agentic repair) that takes a local 7B to parity with its 671B teacher on verifiable tasks. MIT, pre-registered, reproducible.

🎓 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.

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

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

The open-source Fable alternative — a zero-dependency harness that makes ANY LLM verify instead of assume, persist instead of quit, and reuse before reinventing, with a local failover floor you own.

Verify your Claude Code endpoint really serves GLM-5.2 — tokenizer fingerprint + 1M context probe

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

Self-verifying multi-brain reasoning harness — route to the cheapest capable model, adversarially verify with a different brain family, execute code as evidence, learn from your own runs. Zero dependencies, one file.

Deterministic 5-pass LLM verification pipeline — evidence prediction with confidence gating. Provider-agnostic CLI + Python API.

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.

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.

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure, ACL 2026 System Demonstrations.

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

Open research program on model-native inference structure in LLMs: a testable mechanism for hallucination and confidence, causal (non-LLM-judged) verification of AI outputs, and whether a multidimensional structural specification can become a portable control layer. Each hypothesis ships with its kill condition.

Privacy Act 2020 compliance auditor for ML datasets — scans CSV / Parquet / HuggingFace datasets and flags New Zealand-specific PII (IRD, NHI, driver licence, phone, address, te reo names) using a hybrid regex + NER + LLM verification pipeline.

Turn a frozen open-source model into a ~98%-verified, hands-free first-aid assistant — with inference-time compute and a deterministic verifier. Zero training.

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