docs/guides/cloud-agents/from-task-to-automation.mdx
Cloud agents are powerful, but the real skill is governance: knowing what should be manual, assisted, or automated.
<Info> If you want the taxonomy first, including more information on trigger types + governance levels, check out the [Cloud Agents Taxonomy guide](/guides/cloud-agents/cloud-agents-taxonomy). </Info>flowchart TD
A[Manual / One-Off Task] --> B[Assisted Runs]
B --> C[Scheduled Automation]
C --> D[Event-Driven Automation]
B --> E[Stop / Re-scope]
C --> E
D --> E
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class A,B,C,D stage
class E exit
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*Goal: Learn the pattern and define review criteria.*
What you do
- Dispatch a task
- Review the output carefully
- Capture what “good” looks like
Exit criteria
- You can describe expected output in plain language
- Failures are understandable (not mysterious)
- The work is clearly recurring
⸻
Goal: Reduce handling cost without increasing risk.
What changes
Best practices - Require PRs/diffs as outputs - Use checklists for review - Keep blast radius small (one repo, one class of issues)
⸻
Goal: Prevent backlog by handling predictable work on a cadence.
Best fits - dependency hygiene - weekly security remediation - routine cleanup
Guardrails - bounded scope - predictable triggers - clear rollback path
⸻
Goal: Respond quickly to high-signal events.
Best fits - high-severity security findings - production regressions with clear patterns - incident triage summaries
Guardrails - tight scope - rapid feedback loops - human review of outcomes