Traceability
Connect a response to its context, tools, and execution decisions.
Evaluation & reliability
Quality you can inspect.
Build evaluation, tracing, and human feedback into the harness. Know what changed and why it matters.
Evaluation & reliabilityConcept architecture
SELECTED STAGE / 01
Test cases
Define the inputs and access boundaries before execution begins.
WHAT WE DESIGN
A focused approach to evaluation & reliability.
Regression testing
Evaluate representative examples before changing prompts, models, or routing.
Human review
Make consequential approvals explicit and preserve their evidence.
THE ENGAGEMENT
From diagnosis to a testable design.
A practical evaluation suite and release criteria tied to your definition of a good response.
- 01
Map the workload
Review representative tasks, dependencies, and constraints.
- 02
Design the intervention
Define responsibilities, boundaries, and expected behavior.
- 03
Validate the result
Evaluate against the agreed quality and operational objectives.
Questions worth asking.
Does this require replacing our model or infrastructure?
We start with your current system. The design may improve the surrounding harness without changing the model. Any infrastructure change should follow from your requirements and evaluation results.
How do you judge whether an optimization works?
Use representative workloads and agreed acceptance criteria. Compare response quality, token consumption, latency, and operational behavior together. No universal improvement percentage is promised.
Can human review remain part of the process?
Yes. Approval gates, reviewer evidence, and explicit revision paths can be designed into the execution lifecycle.
LET’S WORK THROUGH IT
Bring us your workload.
Start with your requirements, data, and definition of a good result.