AgentX Automates Recommendation Experiment Iteration
jiqizhixin · x · 2026-07-09
AgentX is a self-evolving multi-agent system designed to automatically generate, implement, and evaluate recommendation system experiments.
During its deployment at Kuaishou, three agents successfully translated 374 ideas into 10 launched experiments. This achieved an 8x increase in concurrency and a 3.7x boost in business value per engineer, resulting in a 0.561% growth in user time spent and over 100 million RMB in annualized revenue.
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