Shuhao Zhang, founder Tiny Fish: How to Turn Any Website into an API for AI Agents

ConTejas Code

Links

- Codecrafters: https://tej.as/codecrafters

- Tiny Fish: https://tinyfish.io

- AgentQL: https://www.agentql.com/

Summary

In this conversation, we discuss AgentQL, a framework designed to enable AI agents to access the web using natural language. Together, we explore the technical aspects of AgentQL, its advantages over traditional web access methods, and the challenges faced in its development. The discussion also covers the role of TinyFish, the parent company of AgentQL, and the future direction of their products.

Key use cases for developers are highlighted, showcasing how AgentQL can simplify web scraping and automation tasks. We deep dive into the integration of Playwright with AgentQL, the engineering decisions behind its development, and the importance of maintaining consistency across different SDKs. The conversation also touches on the challenges of remote browsing, security concerns, and the complexities of navigating data structures. Additionally, the various operating modes of AgentQL are explored, highlighting the trade-offs between speed and accuracy.

Chapters

03:25 Introduction to AgentQL

06:33 The Technical Framework of AgentQL

09:34 Challenges with Traditional Web Access

12:35 The Role of TinyFish and Future Products

15:25 Technical Hurdles in Building AgentQL

18:26 Interacting with the DOM

21:29 Use Cases for Developers

24:21 Building with AgentQL

27:35 Disambiguation and Query Context

30:32 Balancing Precision and Flexibility

33:30 Future Directions and Enhancements

36:36 Integrating Playwright with AgentQL

38:56 Building Infrastructure for Remote Browsing

39:30 Engineering Decisions in AgentQL Development

45:05 Web Test Automation and AgentQL

45:55 SDK Development: Python vs JavaScript

47:39 Maintaining Consistency Across Languages

51:40 Cross-Browser Support with Playwright

54:17 Security Concerns in Remote Browsing

59:14 Navigating Complex Data Structures

01:03:36 Operating Modes of AgentQL

01:04:20 Understanding Browser Fingerprinting and Anti-Bot Measures

01:06:31 Exploring AgentQL's Browser Toolkit for Langchain

01:09:15 AgentQL's Potential in Automating Workflows

01:10:17 The Future of Email Automation with AgentQL

01:11:34 Navigating the Challenges of Building a Startup

01:16:20 Achieving Success on Product Hunt

01:19:30 Implementation Pitfalls for New AgentQL Developers

01:21:37 Founder's Playbook: Lessons Learned

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