Use cases

Built for teams who work with AI all day

Shared channels and multi-LLM access fit the way real teams collaborate.

Engineering teams

Pair-prompt across models, watch progress without watching code

Engineers collaborate in a shared AI session and compare model output in line. Managers follow along through the read-only observability feed, so they can unblock people without ever reading private code.

  • Pair-prompt Claude, GPT, Codex, and Gemini in one shared channel
  • Managers track progress through the redacted observability feed
  • See status, intent, and active files — never the private source

Research

Compare answers and keep one citable, shared thread

Researchers ask the same question of every model and compare answers side by side. The entire thread lives in one shared, citable channel the whole group can reference later.

  • Run /compare to weigh Claude, GPT, Codex, and Gemini on the same question
  • Keep the full reasoning trail in a single shared channel
  • Cite and revisit the thread — context never gets lost in DMs

Agencies

A clean, isolated channel for every client

Agencies run a separate channel for each client. Because keys are brought per org and scoped accordingly, each client's AI spend and context stay isolated from the next.

  • Spin up a dedicated channel per client
  • BYOK isolates each client's keys and AI spend
  • Keep work, context, and billing cleanly separated

Find the workflow that fits your team.