OverviewRouteGroundAssureFoundationPhysicalRoadmapEvidenceDemo

Track C · research agenda

Assure

How do we know each output is good enough, at runtime, before it ships?

Orchestration manages where a request runs. Quality orchestration manages whether the result is good enough, as a control loop. Quality is treated as a managed service level.

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Directions

  1. Quality contracts: acceptable quality, error cost, abstention rule.
  2. Runtime estimation: verifiers, self-consistency, cross-provider agreement, graph consistency.
  3. Cascades with contracts: cheap model first, escalate below contract, calibrated methods.
  4. Judge reliability and drift monitoring.
  5. Closed learning loop back into Route and Assure.

Picture

ConceptualQuality cascadeCheap model firstQuality estimatePassEscalateAbstain
View as table
Cascade decisions
StepOutcome
Cheap modelDraft answer
Quality estimateCompare to the contract
Pass, escalate or abstainShip, try a stronger model, or refuse

Planned metrics

Values stay Pending until we publish logs.

Cost per correct answer

Spend divided by answers that meet the quality contract.

Value: Pending

Abstention-adjusted accuracy

Accuracy after counting allowed abstentions separately.

Value: Pending

Calibration error

Gap between estimated quality and adjudicated quality.

Value: Pending

Escalation rate

Share of requests sent to a stronger model.

Value: Pending

Time to detect drift

Delay from a distribution shift to an alert.

Value: Pending

Connects to

Route · Ground · Foundation · Physical

Questions? Email contact@ehopn.com

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