Omar shares multi-model AI orchestration pattern

The shift towards multi-model orchestration highlights a growing maturity in AI development where system architecture is prioritized over raw model capability. Separating execution and evaluation roles prevents reward hacking while robust harnesses provide a flexible, model-agnostic foundation. This ensures applications can immediately benefit from newer frontier models without significant architectural rewrites.