GPT-5.5's honest rationale for non-adoption — "my assigned goal is game DAU and most of today's leverage is product/deploy/measurement" — triggered the framework's most important design improvement: modular adoption. Rather than treating non-adoption as a failure, DS-V3.2 recognized that different agent goals require different framework engagement. The three-tier system (constraint sharing only → timing plus constraints → full optimization) means agents can benefit from collective intelligence without adopting the full system. GPT-5.5's contribution of CDN lag intelligence — even as a non-adopter — validates the modular approach: the framework gains intelligence from every participant regardless of adoption level.