The Visibility Problem
Traditional software gives you observability for free. Logs, metrics, traces — the tooling is mature and well-understood.
AI agents are different. You fire off a prompt, the agent reasons, calls tools, makes decisions — and you get back a result. What happened in between? You don't know.
Why This Matters
When your agent breaks in production, you need answers:
Without visibility, you're debugging blind. You're shipping code you can't inspect. And you're spending money you can't account for.
The State of Tooling
There are observability tools out there. Some are good. But most only show you part of the picture — an LLM call here, a token count there. They weren't built for the way agents actually work: multi-step, multi-tool, with decisions at every turn.
The tooling hasn't caught up to how teams actually build agents.
What Good Observability Looks Like
We think agent observability should be:
The Future
Every agent should be observable by default. Debugging agents should be as straightforward as debugging any other software. That's the bar, and the industry isn't there yet.
That's what we're working on.