AI agent for real-time insights into meetings

How it works

1. 1.Receive meeting data via webhook and format it into a structured format
2. 2.Send meeting content to OpenAI model for analysis and extraction of key insights
3. 3.Save results and summaries to Postgres/Supabase with validation conditions
4. 4.Generate real-time reports containing meeting action items and critical decisions

Use cases

• Automatically summarize meetings and extract critical points and resulting action items
• Track meeting decisions and send follow-up alerts to the team in real time
• Build a searchable digital repository of meeting history and extracted insights

Requirements

• Active API key from OpenAI with advanced chat model access
• Postgres or Supabase database configured to store records and analytics
• Webhook endpoint capable of receiving meeting data from call or scheduling platforms

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.