Multiplayer agentic engineering — Arjun Singh, Superconductor
Superconductor uses AI agents that participate in meetings and Slack channels to capture ideas directly from conversations without requiring manual note-taking about what needs to be done.
A bot listened to a four-hour meeting, identified a customer request for clearer criteria for when work is complete, opened an issue itself, and implemented the suggestion. The company runs the agents in isolated cloud environments where they cannot accidentally access production databases, and people from support and growth can trigger actual work without needing a developer environment. Over one month, they used 10.5 billion tokens and ran 3,300 agent sessions for approximately $10,000.
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