TEAL: Unsupervised Tool Evolution for Data-Lake Analytics
October 18, 2026
TEAL is an unsupervised framework where two agents—an Explorer and a Critic—evolve a library of reusable tools for data-lake analytics. The system improves tool usage skills without ground-truth labels by observing and validating Worker agent trajectories.
HOW THIS AFFECTS YOU
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builderYou can build agents that learn to optimize their own data processing workflows over time.
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founderThis enables the creation of autonomous data analysts that improve with every query.