// 00blueprints
System
Architecture_Library
"Architecture in AI systems is about the decisions that keep token costs from spiraling while maintaining cognitive reasonability in non-deterministic environments."
Verified_Execution_Patterns
// core_orchestration_topology
// 01
Orchestration Layer v2
Decoupled specialist tools from the core router via AgentRegistry, enabling multi-vertical scaling with zero orchestrator prompt drift.
latency_p50: 14ms · engine: adk_core
// 02
Graph-Based RAG
Deterministic self-correction loops using StateGraph. Eliminates semantic smear via Parent-Child context anchoring.
precision: 94.2% · tech: langgraph
// 03
Tiered Model Selector
Cost-aware routing logic that dynamically selects models (GPT-4o -> Flash -> Mini) based on semantic entropy and task urgency.
opex_savings: 66.7% · logic: deterministic
// operational_delta_analysis
today_status_quo
observed cycle: 6.4 days · manual touchpoints: 11
×manual reconcile in spreadsheets
×FW: FW: FW: approval chain
×audit trail reconstructed from email
×CSV exports drift overnight
orchestrated_with_agentic_layers
observed cycle: 1.6 seconds · manual touchpoints: 1 (escalation)
✓deterministic routing across 8 systems
✓structured escalation when policy demands
✓append-only audit ledger by default
✓no data migration, no shadow stores