Oqoqo vs Outside Agent

Run eval experiments at scale in realistic environments on fully managed cloud infrastructure. Define custom task sets to build your private benchmarks, measure how well...

Build AI agents that interact with the outside world.

About Oqoqo

Run eval experiments at scale in realistic environments on fully managed cloud infrastructure. Define custom task sets to build your private benchmarks, measure how well agents can use any product, and find the best agent-model combinations for your use cases. Generate insights on the fly, such as product interface friction, token inefficiencies, performance differences, and so much more. Oqoqo - The easiest way to build evals and custom benchmarks for real-world agentic tasks . A video-style demonstration of building and launching an agent experiment in Oqoqo: describing a task, selecting tasks, configuring agents, treatments, runs and evals, then launching runs on sandboxed machines and reviewing pass and fail results with full step-by-step trajectories.

About Outside Agent

Build AI agents that interact with the outside world. Give your AI agent a phone number, memory, and the tools to text, call, take action, and hand off to your team when needed. Agent action Start client intake Give the client space to explain . Agent Your timeline, people, and documents are ready for legal review. One URL from your console connects any editor, Claude Code, Codex, Cursor, VS Code, and more. Your coding agent builds, tests, and publishes it, then your customers talk to it on web, SMS, or voice.