- Agent Library is where you find and configure Custom Agents.
- Agent Runs is where you inspect their execution, output, recovery, and follow-up work.
What belongs in a Custom Agent
Choose work that is:- repeated often enough to justify a maintained workflow;
- driven by clear inputs and scope;
- observable through a useful output;
- safe to run with explicit tool boundaries;
- reviewable by an owner;
- valuable even when it correctly returns “no action needed.”
The agent lifecycle
1
Define the outcome
Name the decision or artifact the agent should produce and who uses it.
2
Configure the work
Choose instructions, model, tools, skills, files, scope, schedule, output, and optional judges.
3
Dry run
Test representative targets without write actions.
4
Review the evidence
Check sources, gaps, output structure, and judge results.
5
Activate
Make the agent active only after its owner accepts the behavior and tool boundary.
6
Operate
Monitor runs, recover failures, follow up in Chat, and version meaningful changes.