've been watching the AI agent space for a while now and something keeps bothering me that nobody really talks about.
Every week there's a new model. Smarter reasoning, longer context, better tool use. The benchmarks go up. The demos look incredible. And then you actually deploy one of these agents and watch it work and you realize — it's spending half its time fighting infrastructure that was never designed for it.
Your GPT-4o or Claude agent is out there scraping HTML. Hitting rate limits. Parsing through noise to find the three numbers it actually needed. Retrying dead endpoints. It's like giving someone a sports car and then sending them down a dirt road.
The web was built for humans. Browsers handle all the ugly stuff — rendering, parsing, session management — so we never had to think about it. Agents don't have that buffer. They hit the raw reality of how chaotic internet data actually is, and they deal with it on every single request.
This isn't a model problem. The intelligence is there. The bottleneck is the pipe.
