Learn Agentforce
AI agents, prompt engineering, multi-agent architecture, and human handoff patterns.
67 questions in this topic
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Showing 14 of 67 Agentforce questions
What is Agentforce and how is it different from a traditional chatbot?
A hiring manager asks you to explain Agentforce during a junior consultant interview. They want to know how it differs from the old Einstein Bot their company tried years ago.
What is an Agent Topic and why does it matter?
Your team is scoping a service agent. The BA lists fifty things customers ask about. You need to explain how topics organize that work.
What is an Agent Action?
A customer asks the agent to look up their order number. The interviewer wants to know what actually executes that lookup behind the scenes.
What is grounding in Agentforce?
Leadership worries the agent will make up return policies. You explain how grounding keeps answers tied to approved content.
What are guardrails in an AI agent?
Legal asks what stops the agent from discussing competitor products or sharing internal pricing. You explain guardrails at a high level.
How does human handoff work from Agentforce to a live agent?
Customers complain about repeating themselves after the bot transfers them. The interviewer asks how handoff should work.
What is the Einstein Trust Layer in simple terms?
Security team asks how customer data is protected when prompts go to an LLM. You give a plain-language overview.
What channels can Agentforce support?
Marketing wants the same agent on the website, mobile app, and SMS. You explain channel basics.
What is prompt engineering in the context of Agentforce?
A teammate asks why their agent sounds too casual. You explain how instructions shape tone and behavior.
What metrics measure Agentforce success?
After launch, leadership asks if the bot is working. You name basic KPIs a junior should track.
What is the difference between Agentforce and Einstein Copilot?
A client confuses the employee-facing Copilot on the Salesforce UI with the customer-facing service agent. You clarify.
What sandbox steps should you take before deploying an agent?
You are asked how you would test a new returns topic before production go-live.
Configure agent persona and tone for brand consistency
Marketing requires the support agent to match brand voice guidelines across regions while remaining professional during complaints.
Implement agent feedback collection from end users
Product wants thumbs up/down after agent conversations to identify bad responses quickly.