I keep hearing about platforms offering access to 400+ AI models, and while that sounds impressive, I’m genuinely puzzled about the practical value for browser automation.
Most browser automation tasks are pretty straightforward: navigate, scrape, validate. You’re not usually doing complex language understanding or multi-modal analysis. So why would you need access to 400 different models?
I understand having options is nice—maybe one model is faster, another is cheaper, another handles edge cases better. But I’m wondering if having 400 options is actually solving a real problem or just creating analysis paralysis.
For specific browser automation needs, like OCR on a screenshot, or detecting if extracted text contains certain sentiment, sure, having access to specialized models makes sense. But how often does that actually come up? And when it does, do you really need 400 options to pick from?
I’m trying to figure out if this is a genuine advantage for teams like mine, or if I’m just overthinking it. Does anyone actually switch between multiple models within the same workflow? Or do you pick one and stick with it?