Key points
The article separates useful agent behavior from broad automation claims by examining task boundaries, tool access, source grounding, human checkpoints, and observable outcomes.
- Agents should have clear tasks and boundaries
- Sensitive actions need human review
- Logs and fallback paths matter
How i-360 applies this thinking
An AI agent is useful when it has a bounded task, approved context, restricted tools, observable actions, exception handling, and a defined point where a person reviews or takes control.
Next step
Choose one repeated workflow and document its trigger, inputs, systems, decisions, permitted actions, exceptions, approval authority, and the result that marks safe completion.
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