ConTejas Code Shuhao Zhang, founder Tiny Fish: How to Turn Any Website into an API for AI Agents
Mar 24, 2025
Shuhao Zhang, the founder of TinyFish and creator of AgentQL, shares insights into transforming web access for AI agents using natural language. He discusses the challenges of integrating AI with web data structures and the shortcomings of traditional web access methods. The conversation highlights how AgentQL revolutionizes web scraping and automation, balancing speed with accuracy. Shuhao also emphasizes the significance of community engagement for startup success and the importance of team well-being in driving innovation.
AI Snips
Chapters
Transcript
Episode notes
AgentQL's Purpose
- AgentQL lets AI agents access the web semantically.
- It replaces traditional selectors with natural language queries, improving web accessibility.
AgentQL's Advantage
- Traditional web access methods struggle with dynamic content and UI changes.
- AgentQL offers a more robust solution by using semantic queries.
DOM-based Processing
- AgentQL primarily uses the DOM for processing web data.
- While visual models are considered, the DOM offers better performance and handles complex web structures more effectively.