evidence-verification

专门为 agent 打造的开源 agent 搜索工具，具备 200+的搜索源及多语言搜索能力，覆盖中文/英文/学术/代码/购物/金融/新闻/百科。

Score any document. Prove every claim.

Evidence-grounded AI research workflow for traceable claims, explicit uncertainty, causal-language checks, and reviewable JSON, Markdown, and Excel exports.

Pi-native execution contracts for AI agents — evidence-gated completion, ordered plans, atomic decomposition, and compaction-safe resume.

Open-source verifier for document citations, source evidence, RAG, and agents, with built-in document parsing.

A concise, clear description helps others quickly understand your project. Example: Automated Web3 smart contract auditing toolkit—scalable, extensible, and AI-augmented.

A file-based governance harness that turns loose research ideas into proposals that hold up. Makes three things checkable: which page a claim rests on, what would refute it, and what the AI just changed. Human stays the sole adjudicator. Bilingual (EN / 繁中).

Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.

Research on evidence and verification in multi-agent systems. Papers, proofs, code, and reproducible results.

Trace every claim to its source. Identify every hallucination. Before the report reaches your client.

AI-powered fake news detection and evidence-aware verification system for analyzing news articles, claims, and source credibility.

Researching how consequential commercial commitments can be defined, evidenced, verified, and reconstructed — starting with enterprise software implementation milestones.

Agent-run post-task audits with independent ChatGPT review, evidence binding, and verified finding closure.

Staged operating-picture system for source health, research signals, and auditable decision workflows.

Evidence-bound AI governance — verification, provenance, governed action, human authority, and explicit knowledge boundaries.

Agentic entity search engine that converts natural language queries into source-grounded entity tables using web search, scraping, LLM extraction, evidence verification, deduplication, ranking, and observability.

Harness-neutral academic research kernel with deterministic evidence, provenance, reproducibility, scientific-compute, literature-analysis, and multi-agent review primitives.

Codex Plugin with typed Jev judgments for risk review, evidence checks, context screening, and reranking.

Built with Jev: how Fake / Real (fake-real.live) uses TypeSafe Jev to check claims against cited evidence.

Dual-profile prompt-as-mental-model harness for LLM agents — advisory generator profile in the working agent, blocking verifier profile in a separate audit agent; six-rung evidence ladder, hash-chained records, publicly failed measurement kept on the record.