Nikhil is an applied data science & cloud professional with over a decade of experience in developing and implementing ML, Deep Learning, and GenAI solutions for a variety of industries like Finance, Retail, Energy, etc. He is passionate about the use of data science to solve real-world problems and is always looking for new ways to use data & AI to make a positive impact on the world.
The industry is reaching a consensus: Agent = Model + Harness. While the LLM provides the reasoning, the harness provides everything else—the state, the tools, and the memory. But as model providers move toward closed, stateful APIs, a critical risk has emerged. If your agent’s memory is locked inside a proprietary harness, you aren't building a product; you are renting a relationship.
This talk explores why Harness Engineering is the most critical discipline for AI practitioners in 2026. We will break down the anatomy of a harness and explain why memory isn't just a plugin—it is the harness.
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