Trust is work
    we can show.

    A proposed framework for evaluation, control and clear reporting. This is a documentation structure, not a certification or a claim that every programme is complete.

    An asymmetric engraved lunar crescent with cool cyan rim-light and a faint amber counter-impression.

    Define quality
    before deployment.

    The proposed framework starts with a task-specific evaluation set and an agreed quality bar. Changes should be compared against that bar, with the evaluation context recorded.

    A safety floor
    under the model.

    The proposed framework places a safety floor outside the model, with checks for safety drift on each build. Its scope and operating protocol require review before becoming a published commitment.

    Framework draft. The detailed policy, enforcement design and operating protocol require review before this becomes a published commitment.

    What is checked before promotion?

    The intended protocol records task quality, out-of-scope behaviour and safety drift. Concrete checks and acceptance criteria belong in the reviewed protocol.

    How are limits communicated?

    Record where a model was evaluated, its known limitations, and the work it should decline. Keep those limits alongside the model version and its results.

    Control the behaviour.
    Understand the terms.

    Define what the model should do, what it should know and what it should decline. Deployment choices, data responsibilities and operating controls belong in the agreement for the work.

    By default models run on the Ertas platform. Model ownership and weights handover are available with a minimum engagement commitment; the terms must be agreed for each engagement.

    A model record
    you can examine.

    Proposed model-card structure. Fields below describe what a record should contain; they are not claims about a deployed endpoint.

    Proposed model documentation
    RecordWhat to document
    IdentityBase model, task, version and release date
    TrainingApproach, data provenance and permitted use
    EvaluationHeld-out set, baseline, metric and acceptance criteria
    LimitsKnown failure modes and out-of-scope work
    OperationDeployment responsibilities and version history
    Ask the lab about evaluation

    Discuss the requirements
    of your work.

    Talk to the lab