Tracking and personalizing AI agents with Snowplow and the Vercel AI SDK
In this hands-on workshop, we'll instrument a Next.js agentic application with behavioral tracking across three layers - client, server, and the agent's own reasoning - and then feed real-time user context from Snowplow Signals back into the agent's system prompt using the Vercel AI SDK.
We'll cover the following steps:
Set up a Snowplow pipeline and validate events against schemas in real time
Add client-side, server-side, and agent self-tracking to a travel chatbot - capturing what the user did, what the agent did, and what the agent decided
Configure Snowplow Signals to compute live session attributes from a behavioral event stream
Inject those attributes into an AI agent's system prompt so responses adapt to what the user is actually doing on the page
By the end of this workshop, you'll be able to track what your AI agent does at every layer and feed live behavioral context back into its responses using Snowplow and the Vercel AI SDK.
About the speaker:
Jordan Peck is Director of Field Engineering at Snowplow, working with the company's most complex and strategic customers to solve behavioral data challenges. He helps engineering and data teams get Snowplow pipelines into production and extract value from event streams to power real-time agentic use cases.
This event is sponsored by Snowplow.
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