Einstein Copilot

💬 In plain words: A variable securely stores a specific fact for the rest of an AI conversation. Without variables, you are blindly trusting the AI model to remember things accurately. By using variables, you lock that fact in place so it never drifts, hallucinates, or disappears. Key Points Never rely on an LLM's implicit memory; use explicit state management via variables to store persistent facts across turns. Salesforce Agentforce supports multiple data types, including string , number , boolean , object , date , id , and list . Initialize default variable values at the beginning of the agent session (e.g., inside start_agent ). Use distinct syntax to reference variables in backend logic versus frontend prompt instructions. The Core Concepts Variables allow your agents to manage state reliably. When designing conversational logic in Salesforce Agentforce, understanding how to classify and reference data is crucial. ...

💬 In plain words: When building custom Apex actions for AI (like Agentforce or Einstein Copilot), never just hand the raw record to the Large Language Model (LLM) and ask it to figure out the answer. While the model will usually get it right, its occasional silent failures are impossible to catch. Instead, do the heavy lifting in your Apex code and return a clear, final decision (a verdict) alongside a plain-language explanation to the model. 📌 Example: Instead of passing a raw Service Contract and Case record to the AI to determine a refund, your Apex should process the logic and return specific outputs like: isEligible = true refundAmount = 1240 reason = "Supply was interrupted for 14 hours, which exceeds the 12-hour guarantee." Now, there is absolutely nothing left for the LLM to guess or infer. The Concept: Verdicts, Not Evidence When you expose an invocable method to an AI agent, you must strictly co...