The latest articles on DEV Community by Nazar Batrak (@nazar_batrak_6b8cc4a2d418). https://dev.to/nazar_batrak_6b8cc4a2d418 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3978398%2Fe4408d28-38a2-49d9-b733-61d9d83809e1.jpg https://dev.to/nazar_batrak_6b8cc4a2d418 en Nazar Batrak Wed, 10 Jun 2026 21:42:34 +0000 https://dev.to/nazar_batrak_6b8cc4a2d418/why-i-stopped-trusting-a-single-ai-model-3a https://dev.to/nazar_batrak_6b8cc4a2d418/why-i-stopped-trusting-a-single-ai-model-3a <p>Ask Claude, GPT, and Gemini the same question and you get three different answers — and<br> you're left guessing which to trust.</p> <p>So I built PolyHelper: send one prompt, it runs across many models at once and shows where<br> they agree, where they disagree, and a consensus — with an audit trail behind it.</p> <p>Three modes:</p> <ul> <li>Convergent — one answer + how strongly the models agreed</li> <li>Divergent — the perspectives side by side</li> <li>Artifact council — models critique and rank each other</li> </ul> <p>Open source, Apache-2.0: <a href="https://github.com/PolyHelper/polyhelper" rel="noopener noreferrer">https://github.com/PolyHelper/polyhelper</a></p> <p>What consensus method would you actually trust? Majority vote feels naive, LLM-as-judge<br> has biases. How would you approach it?</p> ai webdev programming productivity