Auto-Reply to LinkedIn DMs with Human Review
AI Summary
This video showcases the creation and setup of an AI-powered LinkedIn message automation tool called “Request Router.” The tool leverages UniPile to receive LinkedIn messages, Slack as a human-in-the-loop approval interface, and Notion as a backend directory for routing responses. The video explains how incoming LinkedIn messages are processed: first received and parsed via UniPile, then routed based on user or organization context using data stored in Notion. The AI generates personalized, context-aware message responses which appear in Slack for review before sending, allowing manual edits. It demonstrates setting up the UniPile webhook, Slack app with required permissions, and API key configurations, including detailed guidance on populating the Notion directory and updating credentials. Conditional responses are highlighted, such as automatically sending different replies based on the sender’s follower count. The system aims to reduce message overwhelm by automating thoughtful, professional LinkedIn replies while keeping human oversight in the loop to ensure accuracy and appropriateness. The approach is adaptable for similar workflows such as email automation. The video includes a behind-the-scenes segment and invites viewers to customize the tool.