Every session your team captures through the paper CLI lives in paper console as structured history — not terminal output. Over time, that history is what helps a team understand how AI work actually happens across people, projects, and tools: which prompts produced useful results, where agents got stuck, what cost what, and which workflows are worth repeating.
What you can do in paper console
- Inspect any session — read the full chain of prompts, turns, tool calls, and telemetry for a captured run, plus the author who ran it.
- Search and filter — find a specific session, a teammate’s work, every failed run in the last week, or the most expensive sessions of the month.
- See team activity — switch between your own captured runs and your full team’s, and read the aggregate dashboard for spend, agent time, tool calls, and completion rate.
- Switch orgs and gateways — move between organizations and gateways you have access to from the console header.
- Build a shared record — accumulated history of agent work, ready to share with teammates, compare across projects, and turn into reusable knowledge.