From vague request to observable objective
Make the decision inside the lab, observe the system response and use the explanation to transfer the method to your own work.
Observable outcomeBounded scopeEvidenceStop rule
Add what success looks like, what may change and how the result will be checked.
What to notice
A strong AI workflow exposes its objective, available context, authority and completion evidence. When one of those remains implicit, the output may look fluent while the system remains unreliable.
Use the lab result as a diagnostic, not a score. The purpose is to identify the missing contract before adding more tools or a larger model.