It should come as no surprise that our Braze marketing team uses Braze — and when our own teams build something that works, we want to share it. This is the first installment of Braze@Braze: a series featuring real use cases from inside the Braze marketing team, with real workflows and real results.
When personalization requires real reasoning — routing users to the right content, selecting the insight that will resonate, and writing copy that connects — you need a smarter approach. Our new lesson, Using AI Agents for Personalization at Scale, shows you exactly how to build one.
Follow along with Marina from our lifecycle team as she builds a three-agent workflow in BrazeAI Agent Console to personalize a high-stakes report campaign, which winds up driving 47% more downloads than a static control.
In this lesson, you'll learn how to:
- Describe how agents can be used to scale messaging for a personalization challenge
- Create focused agents, each responsible for a single decision (routing, selection, or copy generation), to tackle a complex personalization task
- Configure Agent Console instructions using input variables and output formats for each agent in the workflow
- Deploy agents as Canvas steps and pass outputs between them using named variables
- Generalize the pattern to your own industry and use case
Who can access? Registration is open to all customers and partners.
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