Show the conditions
Evaluation results need the dataset, task definition, operating threshold and failure cases that make them interpretable. A research metric does not automatically describe performance in an occupied building.
Evidence before deployment
The more a system can influence the physical world, the more clearly its claims must be tied to evidence.
Separate building from acceptance
Our engineering approach values named ownership, explicit contracts and review independent of implementation. Changes should carry acceptance criteria and the evidence needed to decide whether they are ready.
Learn without concealing uncertainty
Deployment should expose meaningful faults and corrections. A platform must distinguish intended state, observed state and unknown state. This is also essential in energy systems, where a total-meter reading can conceal consumption behind solar or storage.
These principles guide research and development. They are not a claim that every described control is available in every current product.
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