💬 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...
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