AI Agent Architecture
Architectural blueprints for enterprise AI agents: supervisor-worker hierarchies, state machine routing, control governance, and multi-agent coordination.
Curated topic hubs structuring our systems engineering blueprints. Each cluster brings together foundational pillars, technical implementation guides, and operational governance patterns.
Architectural blueprints for enterprise AI agents: supervisor-worker hierarchies, state machine routing, control governance, and multi-agent coordination.
Engineering blueprints for Anthropic's Model Context Protocol (MCP). Build production Streamable HTTP gateways, legacy SSE servers, and hardened tool schemas.
Master context window economics: AST skeletonization, state handover checkpoints, negative prompt boundaries, and mitigating semantic drift in multi-turn agents.
Combat quadratic context growth and token bloat. In-depth technical guides on deterministic BPE token accounting, AST skeletonization, and transcript pruning.
Eliminate hallucinations, brittle function calls, and cascading failures. Architectural patterns for schema hardening, permission boundaries, and evaluation loops.