How to Pick the BEST AI Model for Your Prompts in MINUTES (n8n + OpenRouter)

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Keeping up with every new AI language model release can feel like a full-time job—especially when you’re juggling OpenAI, Anthropic’s Claude, Google’s Gemini, and a dozen other “must-try” contenders. In this 12-minute walkthrough, I’ll show you how to automate the entire evaluation process using a two-layer n8n workflow, so you never have to manually copy prompts or flip between benchmarks again. First, you’ll learn how to spin up an agentic automation that cycles your prompts through every major LLM via OpenRouter—logging each output into a structured Google Sheet for easy auditing. Then, I’ll guide you through building a meta-judge agent: a dedicated LLM evaluator that reads anonymized responses, ranks them impartially, and writes its verdict back into your “Judge” tab. The end result? A living, self-updating leaderboard that continuously tests, scores, and sorts new models as they hit the market—completely hands-off. Follow along step-by-step to reclaim your time, cut through the hype, and build an always-up-to-date, outcomes-focused AI model evaluation pipeline tailored to your unique use cases.

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