《Digital Employees Also Need to “Onboard”: Translating Job Responsibilities into a Manual AI Can Execute》
This is excerpted from a methods-sharing post on our company’s official account.
If you assign tasks to an AI, why do things often seem “pretty good in the first week” and then “fall apart” in the second? The problem usually isn’t the model—it’s that we never gave this “new colleague” a proper job description. In HR language, responsibilities are packed with a lot of unspoken “you already know” agreements—boundaries, terminology, handoffs, exceptions. AI won’t be able to fill in the gaps on its own. Without these, it can only rely on “guessing.”
PMTSoul wants to translate job responsibilities into a task model that’s “actionable and handover-ready”: first, break the responsibilities down into task units with clear inputs and outputs; then, for each task, complete the boundaries, terminology, handoffs, and exceptions; finally, so that once the manual is written it can run, and even when the person changes, the work can still be taken over.
Rather than rushing to make the AI smarter, it’s better to explain the work itself first. Only by thinking this through can the AI truly “onboard.”
(Excerpted from an article on our company’s official account; this article is for method sharing only and does not constitute investment advice, nor does it constitute any promise regarding results.)
#数字员工 #AI执行系统 #enterprise automation
This is excerpted from a methods-sharing post on our company’s official account.
If you assign tasks to an AI, why do things often seem “pretty good in the first week” and then “fall apart” in the second? The problem usually isn’t the model—it’s that we never gave this “new colleague” a proper job description. In HR language, responsibilities are packed with a lot of unspoken “you already know” agreements—boundaries, terminology, handoffs, exceptions. AI won’t be able to fill in the gaps on its own. Without these, it can only rely on “guessing.”
PMTSoul wants to translate job responsibilities into a task model that’s “actionable and handover-ready”: first, break the responsibilities down into task units with clear inputs and outputs; then, for each task, complete the boundaries, terminology, handoffs, and exceptions; finally, so that once the manual is written it can run, and even when the person changes, the work can still be taken over.
Rather than rushing to make the AI smarter, it’s better to explain the work itself first. Only by thinking this through can the AI truly “onboard.”
(Excerpted from an article on our company’s official account; this article is for method sharing only and does not constitute investment advice, nor does it constitute any promise regarding results.)
#数字员工 #AI执行系统 #enterprise automation