Learn how to build an AI support agent that not only answers questions but learns from every customer interaction, making your support team faster, smarter, and more scalable. 📌 Timestamps: 00:00 – Intro: Smarter AI Support Agents 00:14 – How the Recursive Learning System Works 00:43 – Demo: AI Answers a Known Question 01:29 – Demo: AI Learns from a Human Agent 02:44 – AI Agent Responds with Learned Knowledge 03:25 – How the Postman Flow Is Built 04:00 – Webhook Setup and Ticket Handling 04:46 – Human Escalation and Answer Capture 05:21 – Updating the Vector Database with AI Embeddings 05:44 – Try It Yourself + Join the Community 🔗 Find this flow in the public workspace: Join Sterling and learn how to create a self-improving customer service agent using Postman Flows, Zendesk, Pinecone, and OpenAI embeddings with no complex backend setup required. 💡 Discover how to: - Automatically respond to tickets using an AI agent - Capture human support answers and turn them into live training data - Continuously update your agent’s knowledge base with semantic search - Build a recursive learning loop that improves with every solved ticket With Postman’s new Flow Actions, you can automate and evolve your support workflows — cutting response times, reducing manual work, and delivering better customer experiences. 📣 Join the Community: 🔔 If you find this helpful, like and subscribe for more AI, API, and automation tutorials.