Editing Openai/693343d7-a38c-8012-a67c-11cbed4c0fd9 (section)

=== Below is a compact mapping from the algebraic constructs to runtime architecture components in your platform doctrine (nandi-platform / kogi / ume): ===

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Recommended runtime architecture pattern:
# Define O terms as declarative workflow manifests (JSON/YAML) using Tree schema.
# Register EM handler implementations as plugins that know how to interpret MergeOp, SimOp, and leaf tasks. Each handler is an executable microservice implementing α : Tree A -> RuntimeResult.
# Provide a plan compiler that lowers SDELang to Tree manifests and performs static optimizations (flatten trivial bind/reflect pairs).
# Provide a simulator service for SimOp nodes and a coordinator for MergeOp nodes.
# Expose runtime APIs in kogi-hub for tracing, auditing, and reification (mapping reify_A : O A → A*).

Security & governance notes:
* EM-algebras are trust boundaries — their code enacts org policy. Sign and verify EM handlers.
* Persist Tree manifests immutably for replay, auditing, and provenance (obvious match with SDO lifecycle).
* For distributed execution, adopt deterministic scheduling semantics to support reproducible sim outputs; prefer StateT for reproducible global state threading.