# How to make AI that actualy provides Value Lab

> In the lab, Zach walks through an N8N workflow that integrates AI agents to automate researching and generating LinkedIn shout‑out posts for creators in the data‑engineering space. He explains how the workflow calls the Google Search API and an OpenAI model to gather up‑to‑date information about cr…

- Web page: https://www.dataexpert.io/lesson/using-mcp-to-build-more-powerful-agents-oct2025-p737-l1520
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 5: End-to-End AI Applications
- Access: Requires enrollment in AIExpert
- Length: 1 h 5 min video
- Academy: DataExpert.io Academy

## About this lesson

In the lab, Zach walks through an N8N workflow that integrates AI agents to automate researching and generating LinkedIn shout‑out posts for creators in the data‑engineering space. He explains how the workflow calls the Google Search API and an OpenAI model to gather up‑to‑date information about creators, ensuring that each month the system highlights new voices without repeating previous mentions.

## Navigation

- Previous lesson: [How to make AI that actualy provides Value Lecture](https://www.dataexpert.io/lesson/leveraging-mcp-and-tools-to-integrate-effectively-oct2025-p737-l1519.md)
- Next lesson: [Big Picture AI Applications Lecture](https://www.dataexpert.io/lesson/building-end-to-end-ai-application-day2-lecture-oct2025-p737-l1521.md)