AiSanity
Monitors your AI for hallucinations. QA layer for AI apps
What it does
Stop relying solely on ‘200 OK’. AiSanity monitors your AI for hallucinations, model drift, and broken JSON schemas. It’s the essential QA layer for AI applications. With minimal features and excellent support, it’s user-friendly and perfect for Indie Hackers, Vibe Coders, and Solopreneurs.
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- OSOpen-source model and scorecard for measuring hallucinations in LLMs2023 · vectara.com · ▲65
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
Truth MirrorJun 2026 · wuyijia.gumroad.com · ▲2Real-time AI hallucination detection. Don't trust, verify.
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