Tag: Linear Agent Benchmarking

In the development of cognitive architectures for autonomous artificial intelligence, the primary structural design decision centers on execution topology. When an agent is tasked with resolving an ambiguous, high-consequence enterprise objective—such as refactoring an authentication protocol, adjudicating a complex legal dispute, or staging a multi-cloud network migration—how should the reasoning loop be structured? Historically, the […]