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<p>Ever tried to build an AI agentic workflow and found yourself wondering, <em>“Why are you doing that? I didn’t ask for that.”</em></p><p>I often hear people say that open models will never match proprietary ones, especially when agentic systems get complicated. I’ve heard that myself while building agentic workflows with open 4B and 30B models that run on a single GPU. Along the way, I discovered that these smaller models can match, and sometimes even outperform, much larger proprietary models when they’re used as orchestrators, workers, and collaborators.</p><p>In this talk, I’ll share what I learned the hard way: how to give open models the right context, how to equip them with tools they can actually use, and how a bit of thoughtful testing can keep workflows from drifting in unexpected directions.</p><p>You’ll leave with practical approaches that prepare you to work confidently with <strong>any open model</strong>, helping you unlock their full potential and build agentic workflows that can truly rival much larger proprietary systems, without giving up transparency, control, or the joy of building.</p>
