Trust Ladder
An AI agent engineering methodology describing a progressive strategy in which increasingly complex tasks are delegated to agents as confidence in their reliability grows. The approach also involves scheduling multiple agents in parallel, with the scope of autonomy granted to agents expanding incrementally in proportion to the trust established through prior performance.
Timeline (last 90 days)
The Trust Ladder is a progressive adoption framework proposed by Lauren Tan, which holds that trust cannot be achieved in one step and must be accumulated through verifiable small steps, with typical levels including observe, assist, supervise, delegate and full autonomy.
Matt suggests that people without a technical background learn the brakes rather than the accelerator first: at the start they should watch the agent's every move and understand each of its actions and the capabilities of its toolchain, then gradually expand to multi-agent setups, custom skills and external data source integration.
The "trust ladder" refers to the idea that as trust in agents gradually increases, increasingly complex tasks can be delegated to them and an increasing number of agents can be scheduled in parallel.
All Facts (3)
The Trust Ladder is a progressive adoption framework proposed by Lauren Tan, which holds that trust cannot be achieved in one step and must be accumulated through verifiable small steps, with typical levels including observe, assist, supervise, delegate and full autonomy.
50%UnverifiedMatt suggests that people without a technical background learn the brakes rather than the accelerator first: at the start they should watch the agent's every move and understand each of its actions and the capabilities of its toolchain, then gradually expand to multi-agent setups, custom skills and external data source integration.
50%UnverifiedThe "trust ladder" refers to the idea that as trust in agents gradually increases, increasingly complex tasks can be delegated to them and an increasing number of agents can be scheduled in parallel.
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