oqoqo

oqoqo is a platform for building evaluations and custom benchmarks for AI agents. It lets you define real-world tasks—like creating a Stripe product or explaining a subscription—and then run those tasks across different agents, models, and configurations. Each experiment runs in an isolated sandbox, so you can test how well an agent handles a product's API, CLI, or SDK without worrying about side effects. The platform manages the cloud infrastructure, so you can scale experiments without setting up servers or orchestrating workflows yourself.

What sets oqoqo apart is its focus on realistic, repeatable evals. You create task sets with rubrics that define what success looks like, then launch runs that compare agents side by side. After each run, you get a full trajectory of the agent's steps—every click, API call, and decision—so you can see exactly where it succeeded or failed. The platform also surfaces patterns like token waste or interface friction, helping you diagnose deeper issues. You can even trigger experiments from CI, so a code change that breaks an agent workflow gets caught before it ships.

This tool is most useful for teams building AI agents or integrating AI into their products. Developers can benchmark different models to find the best fit for their use case. Product teams can test whether an agent can actually use their product's interface. Researchers can build private benchmarks for novel tasks. If you're tired of synthetic evals that don't reflect real-world complexity, oqoqo gives you a way to measure what actually matters.