AI Agents
User-facing AI experiences submit workloads directly through Tenzarch.
DECENTRALIZED AI EXECUTION NETWORK
The coordination layer for distributed AI execution.
Tenzarch connects AI workload demand with distributed execution infrastructure, coordinating how workloads enter the network, move through the execution lifecycle, reach eligible Execution Nodes, and return results to the applications that initiated them.
Execution Network
AI Agents
AI Executions
Workflow Run
Execution Nodes
Results
Network modelDemand → Coordination → Distributed Execution → Results
NETWORK MODEL
Execution demand meets distributed infrastructure.
AI workloads enter Tenzarch from user-facing AI Agents and programmatic AI Executions. The Execution Network coordinates that demand with eligible Execution Nodes, creating a shared execution layer between the applications requesting work and the infrastructure processing it.
AI Executions
Developers and applications invoke reusable AI execution capabilities through scoped API Keys.
Execution Network
Coordinates workload demand with eligible distributed execution infrastructure.
AI Agent / AI Execution
Execution Job
Workflow Run
Routing
Eligible Execution Node
Execution
Structured Result
EXECUTION ARCHITECTURE
Every workload becomes a coordinated execution.
When a workload enters Tenzarch, the network records it as an Execution Job and associates it with a Workflow Run. From there, execution progresses through routing and node assignment before the assigned Execution Node processes the workload and the resulting output returns to its source.
NETWORK COORDINATION
Execution stays coordinated across the network.
Tenzarch maintains the relationship between each workload, its Workflow Run, routing state, assigned execution infrastructure, and returned result. This coordination keeps distributed execution connected from submission through completion.
01
Execution Jobs
Each submitted workload becomes a trackable Execution Job carrying its status, Workflow Run association, node assignment, timestamps, and result reference.
02
Workflow Runs
Workflow Runs coordinate execution progression across routing, assignment, execution, completion, failure, and retry states.
03
Routing
Routing connects workload requirements with eligible execution infrastructure before node assignment occurs.
DISTRIBUTED EXECUTION
Execution capacity is separated from workload demand.
Applications do not need to own the infrastructure that processes every workload. Tenzarch coordinates execution demand across eligible Execution Nodes, allowing workload submission and execution capacity to operate as distinct layers within the same network.
Eligibility
Available Execution Nodes are evaluated against workload requirements and current network conditions.
Assignment
Routing connects an Execution Job with eligible infrastructure and records the resulting node assignment.
Execution
The assigned Execution Node processes the workload and returns its output through the Execution Network.
EXECUTION VISIBILITY
Distributed execution without losing observability.
Tenzarch preserves execution context across the network so users and developers can follow workload state, workflow progression, node assignment, telemetry, logs, and returned results without interacting directly with the underlying execution infrastructure.
01
Lifecycle State
Follow execution through queued, routing, assigned, running, completed, failed, and retrying states.
02
Node Assignment
Inspect the Execution Node associated with an assigned workload when assignment data is available.
03
Telemetry
Review execution telemetry exposed across the workload lifecycle.
04
Logs & Results
Inspect available logs and access the structured output associated with completed workloads.
PROGRAMMABLE NETWORK
Execution infrastructure that applications can call directly.
Tenzarch is not limited to workloads launched from its own product surfaces. Developers can invoke AI Executions through scoped API Keys, bringing external application demand into the same Execution Network used by Tenzarch AI Agents.
External Application
An external application submits workload demand into Tenzarch.
AI Execution
A scoped API Key invokes a reusable AI execution capability.
Execution Network
Tenzarch coordinates the workload across distributed execution infrastructure.
Result
Execution state, logs, telemetry, usage, and results remain accessible through the Developer Platform.
One coordination layer. Distributed execution beneath it.
AI Agents and external applications create workload demand. Tenzarch coordinates that demand through Execution Jobs, Workflow Runs, routing, and eligible Execution Nodes while preserving the execution context required to return results and understand how each workload moved through the network.