Coworker vs. Korey

Coworker is an enterprise AI platform that routes each task to the right model with the right context. Teams get frontier-quality outputs at about 82% lower cost per task, and run roughly 5x more inference per dollar than they would on direct Claude or OpenAI consumption. Overview. Coworker is built for companies whose AI usage is growing faster than their AI budget. As frontier model adoption has scaled, customers face a tradeoff between slowing down adoption and cutting headcount to control spend. Coworker takes a different approach.

Korey is an AI agent for product engineering workflows that helps teams keep work moving by handling the coordination that slows delivery down. It turns rough ideas into development-ready work by writing Stories, breaking down tasks, and structuring specs so engineers know what to build next. Korey generates clear, actionable output that follows your team’s standards. It adds acceptance criteria, suggests Sub-tasks, asks clarifying questions, and captures requirements as work evolves, reducing back-and-forth and keeping scope clear. Korey also coordinates work across tools and agents.