I Let an AI Control My Browser to Play Tic-Tac-Toe - LangChainJS Tutorials

What if an AI could **actually use the browser** — not through brittle scripts, but by *seeing* the UI and deciding where to click?

In this video, I explain how modern **agent tools** work and demonstrate it live by letting a model **play Tic-Tac-Toe in the browser**. The agent takes screenshots, reasons about the UI, and interacts with the page step by step — very different from traditional WebDriver-style automation.

I use this demo to unpack:
* How AI-driven UI interaction works under the hood
* Why **provider-native tools** enable more reliable agent behavior
* How this differs from classic, deterministic browser automation
* Where this approach makes sense — and where it definitely doesn’t

If you’ve built browser automation, testing frameworks, or agentic systems, this should give you a concrete mental model for where things are heading.

🧑‍💻 Tic-Tac-Toe demo repository:
[https://github.com/christian-bromann/tictactoe](https://github.com/christian-bromann/tictactoe)

📚 LangChain docs on native tools:
OpenAI: https://docs.langchain.com/oss/javascript/integrations/tools/openai
Anthropic:
https://docs.langchain.com/oss/javascript/integrations/tools/anthropic