LWCExpertagentforceeinsteinhuman-in-the-loop
Design LWC contract for AI-generated UI suggestions with human approval
Real World Scenario
Agentforce suggests next-best action configurations rendered in LWC; reps must approve before any field update applies to customer records.
Expected Answer
• Separate suggestion display from commit action — explicit Approve/Reject buttons
• Show diff of proposed changes vs current record state
• Never auto-apply Agent output without authenticated user confirmation
• Log suggestion Id, model version, and approver for audit
• Timeout suggestions stale after data changes via wire refresh
• Handle partial apply when multi-field suggestion and one field fails validation
• Graceful UX when Agent unavailable — manual workflow unchanged
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Direct answer: Separate suggestion display from commit action — explicit Approve/Reject buttons Also consider: Show diff of proposed changes vs current record state In practice: Never auto-apply Agent output without authenticated user confirmation Validate against production-scale constraints and long-term platform evolution.
Architect Perspective
Human-in-the-loop is compliance and trust — architect Agent+LWC boundary before automating customer data.