Apple AI Updates: May 2, 2026

1. Apple Proposes Inference-Time Reviewer Agent to Course-Correct Tool Calls

Apple. Apple Machine Learning Research published “Reinforced Agent,” a method that embeds a specialized reviewer agent into the execution loop of a tool-calling agent and provides feedback during inference rather than after the fact. The reviewer evaluates intermediate steps and signals when the primary agent should backtrack or change strategy, replacing the more common pattern of post-hoc evaluation followed by retraining. The framing is interesting because it pushes more agentic reliability work into runtime control rather than offline RL, which lowers iteration cost for product teams shipping tool-using agents on shifting toolsets. Source