Why Deep Research Breaks at Scale: An Architecture-First Investigation
Deep research reliability hinges on architectural choices, particularly in token budgeting, compression, and verification. By optimizing these subsystems and employing a two-tier evidence summary approach, teams can significantly reduce hallucination incidents and improve the defensibility of their claims.