Out of curiosity, what do you think contributed to this working better than even OpenAI agent or some of the other tools out there?

I'm not that familiar with how OpenAI and other agents like Browser Use currently work, but is this, in your opinion, the most important factor?

> An infrastructure provider that exposes OS-level controls, not just a browser layer with Playwright screenshots. This is important for performance as a number of common web elements are rendered at the system level, invisible to the browser page

Unfortunately, we didn't try it out with open source models, but you are welcome to pull the repo and try with any model that has good visual grounding! (I heard UI-TARS and the latest Qwen visual model are quite good)

Examples include form filling, sales prospecting, lead enrichment, or even just keeping track of prices of important things.

Over time, we do expect the cost of tokens on these models to decrease drastically. Powerful vision models are still relatively new compared to other generic LLM models for text. Definitely a lot of room for optimizations that we expect will come quickly!

* Accuracy (does it do what we want) * Reliability (does it consistently do what we want) * Speed (does it do what we want fast)

We're mostly focused on solving 1 and maybe in some capacity 2.

The belief here is that models are going to get better. With that smaller models will become more capable. This will result in speed ups automatically.

So yes, I will concur that speed is probably not the main strength of our framework right now, but believe that we will get there with time.

1. We have proxy support right now and most traffic are already being proxied today. Might allow fine tuning of this over time 2. We have plans to allow this, but not currently available 3. We are leveraging some anti bot/captcha solving, but I do believe this will be a never ending problem in some sense