Ingress layer
Accepts workload demand from product and developer surfaces.
The coordination architecture behind Tenzarch.
The network separates workload origin, execution state, orchestration, routing, processing capacity, observability, and result delivery so the system remains understandable as it grows.
One network, multiple execution responsibilities.
Tenzarch should not be reduced to AI Agents, AI Executions, nodes, or rewards. Those are visible surfaces around a broader execution architecture. The network exists to coordinate heterogeneous workload demand with distributed processing capacity through durable execution state.
Execution-state layer
Creates durable Job identity, status, timestamps, progress, and outcome references.
Orchestration layer
Workflow Runs coordinate lifecycle progression and retry behavior.
Routing layer
Evaluates eligible execution capacity before assignment.
Infrastructure layer
Execution Nodes process assigned work.
Observability layer
Logs, telemetry, history, assignment, failures, and results explain what happened.
Execution crosses the network as a sequence of responsibilities.
01Workload Demand
02Validation & Intake
03Execution Job
04Workflow Run
05Routing
06Assignment
07Running
08Completion
09Result Delivery
A request can exist before a node is assigned. A Job can remain trackable while routing is in progress. A Workflow Run can coordinate retry behavior. A completed Job can remain inspectable after its result has already been delivered.
The architecture is intentionally larger than any one interface.
Source independence
New workload sources can use the execution model without redefining it.
Infrastructure separation
Workload submitters do not need to own routing or node-selection logic.
Observable execution
The network exposes state instead of hiding execution behind one loading indicator.
Contract stability
Product terminology can improve without silently breaking working backend routes.