How I Built a Hallucination Detector for RAG Pipelines in Python

<p>Every legal-AI product on the market in 2026 will, at some point, produce a hallucination. This is not a controversial claim — it's the well-documented nature of large language

<p>Your hallucination checker only sees the final paragraph.</p> <p>That’s the bleed. A fluent wrong number often starts earlier: empty retrieval, a swallowed tool error, a stale

<p><em>This is a submission for the <a href="https://dev.to/challenges/hacktoberfest-week2-2026-10-12">Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle</a></em></p> <h2>

<h2> The Question </h2> <p>Can you get a better answer by having multiple LLMs collaborate than by just asking one directly?</p> <p>That's the thesis behind <strong><a

<h1> How I Caught My AI Agent Lying to Me (And What It Taught Me About Autonomous Business Systems) </h1> <p>Three weeks ago, my AI agent filed a status report claiming £17.97 in

<p>title: How I Stopped Hallucinations in My AI Application Built on AWS Bedrock<br /> published: false<br /> description: A builder's guide to prompt engineering, guardrails, and

<p>As a solo developer, the biggest bottleneck isn't usually the ideas—it's the time required to execution. Recently, I wanted to launch a suite of free web tools for developers