Agents
The year of the harness š¤ Harnesses are our most direct layer to turn a model into a great product experience for users by shaping model beā¦
The year of the harness š¤ Harnesses are our most direct layer to turn a model into a great product experience for users by shaping model behavior towards a goal This matters today because models have
The year of the harness š¤ Harnesses are our most direct layer to turn a model into a great product experience for users by shaping model behavior towards a goal This matters today because models have crossed an intelligence + capabilities threshold such that they can be efficiently guided via harness design techniques like: - problem decomposition and routing to subagents - long running loops with intermediate verification - skills can be applied via in-context learning and it largely just works today Let a million tailored harness variants bloom, each beautifully designed as products that make peopleās lives better š has anyone tried just asking 5.5 to think about what open problems it wants to solve for 20 hours? i honestly think it might be the year of the harness. ridiculous abstract multi-agent prompt loops just kind of work nowā¦
Source: Harrison Chase (X) | 2026-05-02