The age of AI agents is here. With models like GPT-4 demonstrating remarkable reasoning capabilities, the next frontier is enabling these models to take action in the real world—starting with the web.
At TinyFish, we've been working closely with OpenAI to explore how large language models can safely and reliably interact with websites. The challenge is fascinating: how do you give an AI the ability to navigate a web page that was designed entirely for human eyes?
Traditional approaches to web automation are brittle. They rely on specific element IDs, CSS selectors, or XPath expressions that break whenever a website updates its design. That's why we built something different.
Our approach treats web pages more like a human would—understanding the semantic meaning of elements, not just their technical identifiers. When a button says "Submit," our system understands that's a submission button, regardless of whether the underlying HTML has changed.
This semantic understanding, combined with OpenAI's powerful reasoning capabilities, opens up entirely new possibilities.
These aren't just theoretical use cases. Our enterprise customers are already deploying TinyFish agents to handle millions of web interactions per day, with reliability rates that exceed manual human processes.
The partnership with OpenAI represents a shared vision: AI that doesn't just think, but acts. AI that can navigate the complexity of the real world—starting with the 200 billion pages of the human web.
We're just getting started.