Customer-facing AI agents built on Google Cloud face the same problem as everywhere else: sophisticated models with no real customer context. Product and engineering teams are shipping Gemini-powered agents that still can't tell a first-time visitor from a returning customer, or a budget shopper from someone ready to spend. This guide shows how to close that gap using Snowplow Signals, Google's Agent Development Kit (ADK), CopilotKit, the stack behind AI agents that respond to what a customer is actually doing, in real time.

Download the guide to discover how you can use this stack to:

• Deliver live customer context to your Gemini-powered agent in under 50ms through a single ADK callback
• Combine real-time session behavior with historical insights synced from BigQuery through one Profiles API
• Trigger proactive agent responses, like a fraud alert or a cart-abandonment save, the moment a customer's behavior shifts
• Embed the agent directly in your product with CopilotKit, so context reaches the agent from a customer's first message without custom middleware