When you first create an agent—like a service agent for support queries—it can be tempting to deploy it right away. However, by following a test-driven development (TDD) approach, you write tests first, set clear expectations, and then build your agent to pass these tests. This process, combined with creating a robust test dataset and running evals, ensures your agent handles … [Read more...] about A Test-Driven Approach to Building Better Agents
Ensuring AI Accuracy: 5 Steps To Test Agentforce
Artificial intelligence (AI) agents are intelligent systems that can reason and act on behalf of customers and employees. But to realize their full potential, we need to test and configure agents without disrupting live production environments. That’s where you as an admin come in. Building an effective AI agent isn’t just about deploying advanced models—it’s about ensuring … [Read more...] about Ensuring AI Accuracy: 5 Steps To Test Agentforce
How to Create a Continuous Optimization Loop with Salesforce Einstein and Data Cloud
As a Salesforce Admin, you know how important it is to get timely feedback on solutions your users rely on. When it comes to solutions like Einstein Copilot—where the user interface (UI) is pervasive, operates in real time, and might give slightly different answers to different users—how can you stay ahead on the robustness of prompts and actions? If a user witnesses an answer … [Read more...] about How to Create a Continuous Optimization Loop with Salesforce Einstein and Data Cloud