[ STATUS: OPERATIONAL | ENCRYPTION: ACTIVE ]
Establishing filesystem-driven physical state machines.
The philosophical shift from in-memory chatbots to filesystem-driven Agent Swarms.
CORE_LOGICCode-Run-Read logic and .cursorrules Operating Model for the Swarm.
SYSTEM_V2How we added a capability layer for specialist agents without weakening governance.
LIFECYCLETracking TASK-F-82 from the PM backlog to production sign-off.
OPERATOR_ORIGINThe unfiltered origin story: from agent demo theater to systems that hold up in real operations.
REAL_TEMPLATEA practical, battle-tested template pack for teams building deterministic AI delivery workflows.
Economics, edge-cases, and token management.
Bypassing bureaucracy: The solitary agent strategy for production emergencies.
ECONOMICSRouting Claude 4.6 Sonnet vs. cheaper open-weight models for task efficiency.
VISUALIZATION5-part cinematic movie of the project state machine generated via Google Veo.
FAILURE_FILESThe failure log that turned painful incidents into durable guardrails and better system behavior.
AI_SPEED_LIFECYCLEThe real lifecycle compressed to AI-time: PM to Coder to QA to Human gate in minutes.
Sensory organs and long-term memory integration.
Granting native sight of the tasks/ state machine and programmable tool-access.
RAG_MEMORYLocal FAISS vector database integration to cure Agent Amnesia.
SYNTHESISMoving orchestration from Python supervisors to Claude 4.6 Native Subsystems.
REAL_METRICSHard numbers on cycle time, rework, incident speed, and reliability after process hardening.
Great reads I did not write, but recommend.
Pulling links from liked_articles.json.
Top AI News, agent ecosystem updates, and hot GitHub AI projects.