Machine-like vs Orkas

Machine-like builds and runs custom AI agents for small businesses as a managed service. Instead of buying agent software and setting it up yourself, you describe a recurring job and Machine-like designs the agent, connects it to your tools, runs it and fixes it when something breaks.

Typical jobs are the repetitive ones: following up on leads, replying to enquiries, booking meetings, logging deals in the CRM and sending a weekly report. The agents connect to tools such as HubSpot, Gmail and Slack, follow your own rules, and can hold drafts for your approval before anything is sent. A console shows what each agent did.

The company calls this "managed agent operations": you get finished wor…

Orkas is an AI workspace for macOS and Windows. Commander coordinates specialist agents for research, presentations, documents, code and content. Use a brief and relevant reference files to ask for a research report or editable work documents, then request revisions in the same task.

The MIT-licensed core is free; models and optional online services may cost extra. Files and task history stay on the device by default. Remote models, connected tools, enabled cloud sync and sharing receive the relevant selected content. Agents and connectors need configuration and appropriate access, and outputs should be reviewed before business use.