Salesforce Playground | Architecture, Agentforce, Commerce and AI

Enterprise integration has traditionally been built around APIs. Applications send structured requests, services process them, and predictable responses are returned. This model has supported everything from payment processing and customer portals to mobile applications and large-scale system integrations. The rise of AI agents introduces a different integration challenge. An AI agent does not always follow a fixed sequence designed in advance. It may need to determine which system to use, discover the operations available to it, gather relevant context, and select the appropriate action based on a user’s request. This is where the Model Context Protocol, or MCP, becomes relevant. MCP and traditional APIs are related, but they solve different problems. APIs expose system capabilities. MCP provides a standardized way for AI applications to discover and use those capabilities as tools and contextual resources. Understanding this distinction is important when designing enterprise AI solut...

Salesforce Agentforce is powerful because it allows teams to build AI agents that can understand user intent, retrieve grounded information, execute actions, and support business workflows across Salesforce. But like any powerful platform, the quality of the implementation matters. A good Agentforce implementation does not start with “How many things can the agent do?" It starts with “What problem should the agent solve reliably?” That is where anti-patterns come in. Anti-patterns are common implementation habits that look useful at first but eventually create confusion, poor user experience, inconsistent answers, or hard-to-maintain agents. Below are some of the most common Agentforce anti-patterns and how to avoid them. 1. Trying to Build One Agent That Does Everything One of the biggest mistakes is designing a single agent to handle every business process, every department, and every possible customer question. At first, this feels efficient. One agent, many use cases. Bu...