为 Claude Fable 5 设计「成本高效 Harness」 这种成本高效设计同样适用于 GPT-5.6 Sol，核心思路是：大多数任务的智能需求在 to…

The article proposes a cost-efficient design for Claude Fable 5, also applicable to GPT-5.6 Sol, based on the insight that intelligence needs are asymmetric across tokens. It introduces three allocation modes (orchestrator, advisor, verifier) and two experiments showing significant cost savings with minimal performance loss. Key design guidelines include task shape analysis, delegation heuristics, coordination cost evaluation, and prompt cache optimization.