Agent Workflows

Agent workflows become useful when the task has explicit state, bounded tool access, observable verification, and a stopping condition. More agents do not automatically create a better system. Parallel subagents, scheduled loops, hooks, and external tools all introduce coordination costs that must be justified by clearer ownership or faster independent work.

This hub connects workflow announcements to practical patterns for delegation and loop design. Read the articles for dated capability changes, then use the guides to decide when work should stay in one agent, when a subagent can own an independent output, and how plan-execute-verify loops should stop or escalate. The pages prioritize repeatable engineering controls over theatrical multi-agent diagrams, because software still has to compile after the agents finish congratulating one another.