CDTMP Agent Protocol
把 Prompt 技巧变成可复用协议，任务成功率 +18pp
+18pp
Success Rate Lift
94%
JSON Compliance
120
Tasks Tested
-29%
Rework Rounds
Most teams treat prompt engineering as art—ad-hoc tricks that work for one task but break on the next. CDTMP turns it into engineering: a structured protocol with task decomposition, state machines, retry strategies, and auditable intermediate states. Every step is inspectable, every failure is recoverable.
Tested across 120 cross-domain tasks, the protocol lifted success rate from 63% to 81% (+18 percentage points), pushed JSON compliance from 72% to 94%, and cut rework rounds by 29%. It’s framework-agnostic—plugs into LangGraph, Semantic Kernel, or custom executors. The insight: reliability in AI agents comes from protocol design, not prompt tricks.