Overcoming Agentforce Antipatterns with the Right Data Management

Anti-patterns don’t always look like mistakes. In fact, they often emerge from decisions that seem smart at first—especially when working with a powerful and evolving platform like Agentforce. Whether it’s leveraging new capabilities or following what appear to be best practices, it’s easy to fall into traps that compromise reliability, safety, or performance.

As Agentforce becomes more deeply embedded in Salesforce, the temptation grows to build agents that do it all. But without clear design principles, agents quickly become unpredictable, unreliable, or even unsafe.

In this session, we’ll break down five of the most common Agentforce anti-patterns—rooted in real-world scenarios—to help you design smarter, safer, and more effective AI agents. You’ll learn how to spot red flags early, understand the trade-offs behind seemingly good decisions, and walk away with practical guidance to avoid these pitfalls in your own implementations.