1. Generation & Execution: Every process begins with an intent, which is compiled into a SAKE protocol. As our DevPartner agents execute the protocol, they emit a rich stream of MTP (Metaprogramming Telemetry Protocol) logs, creating an immutable audit trail in our ScienceBank ledger.

2. Knowledge Synthesis: A dedicated Knowledge Synthesizer AI analyzes this raw data, identifying patterns, extracting concepts, and structuring the information. It turns operational exhaust into a coherent knowledge fabric.

3. Content Synthesis & Curriculum: This structured knowledge is used as a seed to generate a vast array of valuable assets, from AI training corpora and human-readable tutorials to executable SAKE protocols that form the basis of our Citadel College curriculum.

4. Multi-Layered Auditing & Adaptation: The entire lifecycle is subject to rigorous, multi-layered audits. An external LLM audit that finds a discrepancy doesn't just generate a report—it triggers a **Reflex** that can initiate a **Metaprogramming Adaptation** to correct the system's logic, while also feeding refinement data back into the **Citadel College Curriculum**. This ensures the system and its members are always learning and improving.