Operator Workflows
Operator workflows
The workflows that matter once Gooselake is running real agent work on a real machine.
Session lifecycle
Treat sessions as durable runtime objects, not UI conveniences.
An operator workflow usually looks like this:
- Create or reconnect to the session.
- Launch or continue turns through the runtime.
- Observe streamed events and approvals.
- Replay or inspect history when something needs explanation.
This is what lets multiple clients or operators interact with the same ongoing work without inventing custom sync logic.
Long-running execution
The runtime is where long-lived work belongs.
That includes:
- turns that outlive one client connection
- host processes that need inspection or later cleanup
- file and repo mutations that must be attributable
In other words, if it needs receipts, retries, or later inspection, let the runtime own it.
Team-style coordination
Gooselake also supports team communication patterns for multi-agent or operator-assisted flows. That matters when:
- one agent researches while another implements
- a lead needs handoff evidence
- delivery status has to be explicit
Once coordination becomes part of the runtime contract, it stops being hidden app glue.
Recovery mindset
Operationally, the right question after any interruption is:
What does the runtime already know, and how do I resume from there?
Because state is persisted, the answer should come from replay and inspection, not operator memory.