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Pavun Kumar R

🚀 Associate Innovat... • 5m

A few weeks ago, I was running yet another AI task… and I froze. Which LLM should I use this time? GPT-4 was powerful, but expensive. Claude was cheaper, but hit-or-miss. Gemini was fast, but sometimes unpredictable. I’d waste time testing each one — copy-pasting prompts, comparing results, watching the cost counter tick up. And honestly? It was starting to slow me down, big time. So instead of repeating that loop, I built something for myself. It’s called AutoLLM. It’s a tool that takes any input (prompt, task, whatever) and automatically chooses the best LLM to handle it — based on intent, quality, and cost. One call in → smart routing → the best model out. No switching tabs. No manual testing. No API juggling. Since I started using AutoLLM, my dev workflow has become faster, cheaper, and… kinda magical. I don’t think about “which model to use” anymore — the system handles it for me. Right now, it’s just a working MVP I built for my own use, but I’m considering opening it up to others. Would this be helpful for your projects or team? Curious to hear your thoughts — happy to share early access if anyone’s interested. Just DM me. 🔁

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