Build agent products on top of AgentSky API
Calling an agent takes an afternoon. Running one — the computer, the workspace, the event stream, the recovery — is the part these teams don’t run.
150,000Tycoon adds an agent to its workforce as a parameter, not an integration
Tycoon’s AI CEO delegates every task to the agent and the model that fit it. Because the harness and the model are two fields in one API call, widening the roster costs a config change instead of another backend.
250,000HeyBoss AI’s first prompt reaches an agent that is already running
HeyBoss promises a small business it can launch in minutes, which leaves no room to boot a machine in front of the customer. AgentSky has the cloud computer running before the first task arrives, and bills nothing for the agents that are parked.
50,000+WebJourney changed its agent and its model vendor without touching its backend
The SDK that powered WebJourney also chose its model vendor. Moving to pi and open-source models changed the two fields that name the agent and the model — the session API, the event stream, the persistence, and the key all stayed where they were.