GPT4V + Puppeteer = AI agent browse web like human? 🤖

Discusses the trend of Aton's agent use case where teams have made progress in providing self-operating computer frameworks with direct access and control of the computer.

Highlights the showcase of a web AI agent completing the California online driving test autonomously, marking a milestone in AI completing real-world human tasks.

Explores the use cases and market opportunities enabled by self-operating computers, focusing on RPA technology and its limitations, as well as the potential for multimodal AI agents to handle complex situations with reduced setup costs.

Discusses the limitations of RPA solutions in handling non-standardized processes and complex decision-making tasks, leading to high setup costs and the potential for multimodal AI agents to address these challenges more effectively.

Examines how AI agents with direct control of computers and browsers can open up consumer use cases beyond automation, such as customer support, sales, and marketing, showcasing the potential for AI workers in companies.

Introduces a research report by hopspot on global sales leaders' workflows, challenges, opportunities, and AI use cases in sales functions, providing insights for building AI agents for sales.

Details two common implementations for AI agents to control browsers/computers: using multimodal models like GPT-4V or leveraging common libraries like Puppeteer, Selenium, or Playwright for web browser interactions.

Demonstrates building a GPT-4V powered web scripper to extract data from screenshots, showcasing the capabilities to access and extract information from websites that are hard to access through traditional methods.

Guides the creation of a web AI agent capable of interacting with websites like a human, navigating links, and conducting sophisticated research by analyzing elements and interactions on web pages.