What is Agent onboarding?
Also called: Role engineering, training an AI agent on a job, agent briefing
Agent onboarding means handing a recurring task to an AI agent the way you would brief a new colleague: with a goal that can be checked, the background it needs, firm rules and examples of good work.
Example
Instead of “Handle the customer emails”, you write: “Answer questions about delivery times. A reply is done when it names the order number and a date from the delivery sheet and stays under 120 words. Send nothing yourself. Here are two replies that worked well.”
For pros
Onboarding adds to prompt engineering rather than replacing it: clear instructions remain the basis, and longer, recurring tasks also get a proper briefing. Proven building blocks are a goal in SMART form (specific, measurable, achievable, relevant, time-bound) so the agent can check on its own whether it is finished; context on purpose, audience and rules; one or two real examples of good work; and feedback on the first results that flows back into the instructions. The agent guides from OpenAI and Anthropic recommend similar steps: clear instructions, curated examples and tests on real cases. The label “role engineering” is used for this only occasionally so far; in IT security it means something else, namely designing roles and access rights. An onboarded agent is still a tool: a person approves steps that have consequences.
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Written by AI Compare Ninja with AI assistance and edited by us. Every explanation is our own text.