{
  "id": 12033075,
  "title": "Hola, hang tight go check it out (Hawk) AI powered panel with multiple models",
  "url": "https://urgent.news/2026/10/05/hola-hang-tight-go-check-it-out-hawk-ai-powered-panel-with-multiple",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-05T00:10:48.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/alejandro356bce/hola-hang-tight-go-check-it-out-hawk-ai-powered-panel-with-multiple-models-4a10"
  },
  "original_language": "en",
  "account": "\"Hawk\" is an AI-powered panel that facilitates multi-model debates for coding tasks. Users can summon a panel of three AI models, each addressing a question in separate terminal-style windows. The models interact with each other, reading and responding to the other's answers, and vote on the best response. This process helps users identify errors and make informed decisions by comparing the models' perspectives. The app is free to use and runs on Render's free tier, allowing users to test multiple models without incurring costs. It supports various models from providers like OpenRouter, Groq, Gemini, Mistral, NVIDIA, TokenHarbor, Ollama, Claude, and Codex.",
  "summary": "This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built Hawk is a debate room for AI models. You ask one question, and three models answer it side by side, each in its own terminal-style window. After the first round, the models read each other's answers, respond to them, and vote. You can run up to three rounds and watch the answers change. I built it for…",
  "key_points": [
    "Hawk is an AI-powered panel facilitating multi-model debates for coding tasks",
    "Users summon three AI models in separate terminal-style windows to address questions",
    "App is free, runs on Render's free tier, supports multiple models from various providers"
  ],
  "editors_take": "This development lets users weigh multiple AI perspectives on coding tasks for free, potentially reducing errors and boosting informed decision-making by aggregating disparate model outputs.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}