Not every automatic action needs an agent. If a task always follows the same pattern, a fixed rule can be clearer, cheaper and easier to maintain. An agent becomes useful when the next step depends on content and circumstances.
Anthropic distinguishes predefined workflows from agents where the model has more control over choosing actions. It recommends starting with the simplest solution and adding complexity when needed. Source: Building Effective Agents.
Three different tasks
Copying a form response into a spreadsheet is usually ordinary automation. Identifying an email's topic and drafting a reply needs an AI step. Searching several sources, identifying missing material and adapting a plan may suit an agent.
For a weekly report, a fixed workflow can calculate figures and put them into a template. AI explains the significant changes. If the sources and questions vary each time, more autonomy may be justified.
Define where the work stops
Specify allowed sources, cost limits, permitted actions and when a person intervenes. “The agent handles marketing” is too broad. “The agent prepares three drafts from an approved content plan and leaves them for review” is a task you can evaluate.
A human check can come before an external action. n8n covers these approval steps in its production AI guidance. Source: n8n human oversight.
Evaluate the trial through completed work and exceptions. Repeated clarification requests may point to a missing instruction or source. Errors in business rules mean the boundaries need improvement.
AILithe helps choose the right level of autonomy. A useful solution behaves in a way you can understand and can be stopped when necessary.