Step-By-Step: Build Your Reviews AI Agent

Watch on YouTube

I made this video showing you how to build an AI agent from scratch. Step by step. No coding required.

Full step-by-step tutorial

The agent collects Amazon reviews, vectorizes them, and answers questions about customer sentiment. But that's just the example. The real value is learning how to build agents yourself.

You don't need to be a developer. You don't need to be super technical. But we're living in a time where everyone who works at a brand needs to level up their AI skills a bit.

Learning how to build agentic automations is becoming as basic as knowing Excel or Google Sheets used to be.

The good news is that it's way easier than you think. You're just connecting pieces that already exist. n8n gives you a visual interface. The dtc.sh MCP servers that are designed for e-commerce operations do the hard work. You just tell them what to do.

You'll learn how to connect MCP servers to your agent, set up vectorization, debug when things break, and make the agent actually useful. These same patterns work for any agent you want to build at your brand.

This is the kind of skill that makes you valuable. While others are waiting for IT to build something or buy software to do it, you can build your own AI agents that solve real problems.

Watch the video. Follow the full step-by-step tutorial. Build it yourself. You'll be surprised how straightforward it is once you see it done.

Any questions? Reply to this email or DM Bora on LinkedIn.