Checks AI claim/source packets before human review: missing references, quote mismatches, weak lexical support, and unmatched numbers. CLI, Python API, and MCP.
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Updated
Aug 14, 2026 - Python
Checks AI claim/source packets before human review: missing references, quote mismatches, weak lexical support, and unmatched numbers. CLI, Python API, and MCP.
Agentic Legal RAG / MCP Harness for Taiwan Law.
Open-source verifier for document citations, source evidence, RAG, and agents, with built-in document parsing.
Turn contested questions into interactive, source-grounded evidence maps.
Local-first, source-grounded prompt library & workflow toolkit for Gemini Notebook (NotebookLM). 90 prompts · 30 themes · 3 audiences · 10 workflows.
A source-grounded, multi-tradition debate council for Claude Code, Codex, and MCP—with structured claims, citation verification, fail-closed boundaries, and traceable authority rendering.
FastAPI service that checks extracted knowledge graphs on two axes: deterministic SHACL conformance (keyless) and LLM source-grounding (BYOK). Azure Container Apps, OIDC CI/CD, OpenTelemetry.
Production-oriented template for building AI agent skills as verifiable software components — offline eval harness, source-grounding validators, structured logs/traces/metrics, replay artifacts, and a CI quality gate. Runs fully offline with a deterministic mock model.
AI feedback triage pipeline with traceable outputs, evaluation, source grounding, and human review.
A minimal laboratory prototype for legal AI safety boundaries: source grounding, jurisdiction limits, service-boundary refusal, QA metrics, and Active/Shadow update discipline.
A full-stack AI-powered platform for verifying whether generated claims are supported by source documents.
Leadership notes on trusted financial AI, platform strategy, and governed agentic systems.
High-precision information extraction framework.
Trusted financial AI, agentic workflows, and senior AI product/platform architecture.
Chinese financial news to structured events, with independently verified source grounding
Local-first AI job discovery workflow with source-health checks, job-card matching, and human-review application gates.
Source-backed developer-tool research agent with Firecrawl, OpenAI, LangGraph, explicit unknowns, and verifiable exports.
Full-stack AI financial research assistant with FastAPI, React, local RAG, source citations, portfolio risk summaries, and a deterministic RAG evaluation harness.
Source-backed healthcare cost explainer with privacy-safe demos, public guidance, and a polished Next.js workflow.
A standalone MCP suppressor that enforces grounding by validating references, rejecting unsupported claims, and stabilising model outputs.
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