Everything we've written about agent-supervision.
workflow-continuityA Linear issue is rarely a complete implementation plan. How to turn one into a scoped, supervised agent session — context assembled, repository resolved, and every diff reviewed while it is still cheap to change.
workflow-continuityA ticket that says "Add SSO support" is a starting signal, not an agent-ready task. Turning a Jira item into a bounded, reviewable agent session — with a human in control at every stage.
code-reviewRemote approval is not shrinking a desktop code review into a phone. It is a decision packet: enough context to make a defensible call, enough proof to verify it.
The expensive part is not the code an agent writes. It is the context it re-reads — so cost grows with turns, not with lines changed.
An agent can produce a diff in ten minutes. The hard problem starts at minute 45, still tracing a bug while its owner is in transit. Monitoring is a control loop.
An agent can produce a useful diff in 20 minutes, then sit idle for six hours. The constraint is not model capability — it is continuity across people and time.
agent-supervisionRemote AI supervision is the operating layer between a stranded agent session and an unreviewed merge: see the work, keep its context, and decide from anywhere.
A coding agent does not stop being your responsibility because you closed your laptop. What remote supervision really requires is context and control at the moment a decision is needed.