Zero to Agent in 30 Minutes: Build a YouTube Analytics Agent with Vicki Reyzelman

On the most recent episode of Zero to Agent in 30 Minutes, Vicki Reyzelman, senior solutions engineer at Akamai Technologies, drew on more than 25 years in technology and a background in software engineering to build an agent for her Chat About AI YouTube channel. Vicki wanted the agent to monitor channel performance, identify bottlenecks, and recommend ways to grow subscribers and improve click-through rates. She defined the requirements, designed the workflow, built the agent, tested it, and revised the instructions following the same iterative process used in software development. How to build a YouTube analytics agent, step by step Define the goal. Start with the problem the agent should solve. Vicki wants to understand which videos perform well, where channel performance falls short, and what actions could help more viewers discover and subscribe to the channel. Review the available data. Examine each source before designing the workflow. YouTube Studio exports include metrics such as impressions and click-through rates. The YouTube Data API provides information about channels, subscriptions, comments, and activity, but it doesn’t include every metric available through YouTube Studio. Choose how the agent will receive the data. Vicki downloads her analytics as CSV files instead of connecting the
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