Salesforce Playground | Architecture, Agentforce, Commerce and AI

This perspective comes from my real experience working on Salesforce projects where the challenge was not just building something that worked in a demo, but making sure it could survive real users, real data, real integrations, and real business expectations. In project environments, I have seen how quickly an impressive AI prototype can become difficult to scale if the foundation is not strong. Production success depends on more than prompt quality. It requires trusted data, clear use-case boundaries, secure actions, measurable outcomes, and a practical human handoff model. AI demos are easy to appreciate. A user asks a question. The agent responds naturally. It retrieves information, summarizes records, or performs an action. Everyone in the room sees the potential. Production is different. In production, customers ask incomplete questions. Data is messy. Knowledge articles conflict. APIs fail. Security rules matter. Escalations must work. Costs must be controlled. Business teams exp...

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...