Automating KakaoTalk Recommendation Metric Analysis with AI Agents

Kakao’s social recommendation engine team automated repetitive short-form recommendation analysis with AI agents.

They kept the existing Hadoop cluster and access scripts, and added Markdown skill and context docs to guide the agent on procedures and metric definitions.

The agent now drafts analyses and candidate insights, while humans review query criteria and interpretation.

This reduces time spent on data exploration and first-pass reporting, and shows how team knowledge can be documented and standardized without changing infrastructure.