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Want to help make AI better at using computers? We just released a guide on creating human trajectory datasets with C/ua
Okay, so you’ve gotten your environment up and also tested a few agent runs. You’ll likely have encountered cases where your agent was successful at doing some tasks but also places where it got stuck or outright failed. Now what? If you’ve ever wondered exactly what your computer agent is doing and why it sometimes doesn’t do what you expected, then the Trajectory Viewer for C/ua is here to help! Whether you’re a seasoned developer or someone who just wants to dive in and see results, this tool makes it easy to explore every step your agent takes on your screen. Plus, if you want to start thinking about generating data to train your own agentic model (we’ll cover training in an upcoming blog, so look forward to it), then our Trajectory Viewer might be for you.
Okay, so you’ve gotten your environment up and also tested a few agent runs. You’ll likely have encountered cases where your agent was successful at doing some tasks but also places where it got stuck or outright failed. Now what? If you’ve ever wondered exactly what your computer agent is doing and why it sometimes doesn’t do what you expected, then the Trajectory Viewer for C/ua is here to help! Whether you’re a seasoned developer or someone who just wants to dive in and see results, this tool makes it easy to explore every step your agent takes on your screen. Plus, if you want to start thinking about generating data to train your own agentic model (we’ll cover training in an upcoming blog, so look forward to it), then our Trajectory Viewer might be for you.
