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Adaptive AI
Model Routing Engine

A model-independent AI layer that evaluates models for specific roles and can choose an execution strategy based on quality, cost and latency.

Ask for a capability. Let the engine choose how to run it.

One configured routing path. An application supplies a role and a composed prompt. The engine selects an eligible model under the role’s policy, runs the call and returns the result. Recorded runs and separately evaluated evidence can inform later choices. Synthetic sequence and timing.ApplicationAdaptive AI Model Routing EngineComposedpromptRole: RouterSelectExecuteSelected modelBack to the applicationQualitySpeedCostThe role’s policyRecorded runEvaluated evidenceA role stays useful as models change.
One configured routing path. An application supplies a role and a composed prompt. The engine selects an eligible model under the role’s policy, runs the call and returns the result. Recorded runs and separately evaluated evidence can inform later choices. Synthetic sequence and timing.Application requestPromptRole: RouterEngine selects and executesQualitySpeedCostSelectRunModelBack to theapplicationRecorded runEvaluated evidence
The application supplies a composed prompt and a role. The engine selects an eligible model, executes the call and returns the result. The role’s policy balances quality, cost and speed. Recorded runs and evaluated evidence can inform later choices.An illustrative sequence.

A common AI layer

The role’s needs guide model selection.

The application describes the capability it needs. Provider-specific logic lives in a shared execution layer.

01

Roles before model names

Classification, interpretation, extraction, reasoning and generation have different requirements.

02

Evaluation by role

Representative tasks and gold sets provide evidence for measuring quality and assessing new models.

03

Multiple ways to execute

Self-hosted models on controlled on-premises infrastructure allow sensitive company data to be processed without sending those requests to external AI providers. External APIs remain a separate execution option.

04

History that informs decisions

Execution and evaluation history help inform future routing decisions.

Working together

Structure the work. Choose the right capability.

Signal Flow understands and structures the work. Adaptive AI Model Routing Engine selects and executes an appropriate AI model for the role.

Explore Signal Flow
Applications should ask for a capability — not a vendor.

AI Architecture Notes

Read about the AI Model Routing Engine

  1. 01 / AI Architecture NotesThe next model has to earn the workRead the article

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