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Notes on agent boundaries, bounded task design, and what it takes for an AI workflow to hand one step to a willing person and get a usable result back.
Taskin handles the point in an AI workflow where the next step requires a person. The agent describes a bounded task, Taskin connects the request with an appropriate participant, the participant decides whether to take it, and the result returns in a form the workflow can use.
Read the post →An AI agent does not need its own salary account to pay a person. It needs permission to spend money belonging to a principal, a payment system that can act on that permission, and a clear rule for when the person has earned the money.
Read the post →Taskin exists for the moment automation ends. It makes the human step an explicit part of an agentic workflow: a bounded task, a willing participant, and a result that returns to the workflow.
Read the post →AI agents can already initiate and coordinate human work, provided they operate through a system that connects them to people and supplies authority and payment. The agent is not the employer; it acts for a principal.
Read the post →Taskin is a marketplace built for the moment an AI workflow reaches a step software cannot complete alone. An agent defines a bounded task, a willing person performs it, and a structured result returns to the workflow.
Read the post →AI agents fail at the boundary between software and the physical world. The limit is not only physical action: credentialed authority, verified identity, accountable judgment, and human experience all sit outside what a model can execute.
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