This video introduces and demonstrates Retriever AI, an advanced AI agent capable of performing a wide range of tasks. The presenter highlights its ability to automate complex workflows, navigate websites, fill out forms, run code, scrape data, and integrate with other platforms like Cloud and WhatsApp. The video showcases various real-world use cases to illustrate the tool's power and versatility.
You can access and use Retriever AI through three primary methods:
Certainly. The video provides a detailed example of a complex multi-step workflow:
The prompt given to Retriever AI was: "Go to ycompinator.com/compies and filter for summer 2025 batch and keep scrolling till all companies are loaded and then extract two sheets for each company listed the name location tagline industries and URL."
This workflow involves Retriever AI performing the following actions:
This task automates what would typically take a person at least an hour to complete manually.
Retriever AI integrates with other tools, such as Cloud, through MCP (Master Control Program) support.
Here's how it works and the functionalities it enables:
In essence, the MCP integration allows Retriever AI to act as a powerful backend engine for other applications, extending their capabilities by providing advanced AI-driven automation and task execution.
The "teach a trick" feature in Retriever AI allows users to train the AI agent to perform specific, potentially complex workflows that might not be covered by its existing capabilities or presets.
Here's how it works:
This feature essentially allows users to create custom automation routines for repetitive or intricate tasks, enhancing the AI's ability to handle personalized workflows.