Agentforce's LLM dynamically interprets natural language requests (e.g., "Show me open opportunities"), generates an execution plan using the planner service, and retrieves data via actions (e.g., querying Salesforce records). This contrasts with static rules (B) or rigid dialog patterns (C), which lack contextual adaptability.
Salesforce documentation highlights the planner's role in converting intents into actionable steps while adhering to security and business logic.
Reference:
Salesforce Help Article: Agentforce Planner Service ("Dynamic Request Interpretation" section).
Einstein Agentforce Specialist Trailhead: "How Agentforce Processes User Requests."