Slack AI Question → Research with Perplexity → Update Notion Database

Set up a dedicated #research-requests channel or configure Slack AI to identify when messages contain research questions (using keywords like 'research:', 'find out about', or specific emoji reactions). Train the AI to recognize when a question needs external research rather than internal knowledge.

Create a Zapier automation that triggers when specific messages are posted in the research channel or when messages receive a specific emoji reaction (like 🔍). Configure it to extract the question text and relevant context from the Slack message.

Use Zapier's Perplexity integration to automatically research the question. Configure Perplexity to provide detailed answers with sources, focusing on recent information and industry-specific context. Set up the prompt to request structured output with key findings, sources, and actionable insights.

Automatically create a new page in your Notion knowledge base with the original question as the title, the Perplexity research as the content, source links, date researched, and the requester's name. Tag entries with relevant categories for easy filtering and searching.

Send an automated reply in the original Slack thread with a summary of the research findings and a link to the full Notion page. This keeps the conversation flowing while building your searchable knowledge base for future reference.