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How should a model lab scope a first pilot for set-up material?

A useful pilot is narrow: one domain, a small set of policies, a stated exception mix and a defined way to judge the sample before any wider commitment is made.

Keep the first step small and testable. Four decisions shape it.

**Domain.** Choose one, such as lending, utilities connection or professional services engagement. Mixing domains early makes quality harder to judge.

**Use.** State whether you want trajectories for training, tasks for held-out evaluation or an environment for interactive runs. Each needs different fields, and the answer decides what is built.

**Content.** List the record types, the policies and the exception types you want. Specify the share of clean cases against hard ones, and any failure modes you most want to probe.

**Review.** Agree beforehand how you will assess the sample: structural checks, policy walk-throughs by your own staff, a grounding and disclosure review and a trial run against a model you already evaluate.

Also settle practical limits. Ask what format and schema you will receive, how versions are identified, and what the licence permits for training, evaluation and redistribution. Timelines, volumes and terms are set in discussion with MirrorFirm, not assumed.

All output is generated, so treat the pilot as the point to find out whether it is grounded enough for your needs.

A narrow pilot with agreed review criteria shows whether the material suits your pipeline before you spend effort on volume.

Audience:
Model labs
Content type:
Explanation
Buyer question:
Scope and getting started

Content release: r-a220eb6e099b243b

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