Lucid – Catch hallucinations in AI-generated code before they ship
Treats hallucination as inevitable, verifies claims instead of suppressing generation.
A Algo designed to detect AI Hallucitions
Claims to catch hallucinations with trees, but benchmarks cover only four topics.
Developers building RAG pipelines or AI agents
RAGAS · Arize Phoenix
Treats hallucination as inevitable, verifies claims instead of suppressing generation.
Peer-reviewed LLM hallucination detector using uncertainty quantification, published in JMLR and TMLR.
AST-level regex analysis with auto-fix beats string-based ReDoS checkers.
Compressed JSON bundles fit tight context windows better than pasting files.
Phonetic embeddings catch ASR-mangled names across cultures before LLM sees them.
Finally, pytest for AI tool calls when evals only test intelligence.