experiment

To run auditable experiments, you plan and execute tests using a predefined baseline, governing the process with a PLAN.md and CHECKLIST.md to ensure runs are repeatable, documented, and produce durable artifacts.

Reproducible experiment runs require structured progression from planning to evaluation using plan-templates, run manifests, and checklists, enforcing governance to support paper-ready results and explicit next actions at decision points.

Yes, you need to create a PLAN.md and CHECKLIST.md before starting. These files define the predefined baseline and governance required to execute bounded pilots and record main-run results with durable artifacts.

Yes, a plan-template can govern both smoke tests and full experimental runs. It provides the structured progression needed to turn ideas into measurable evidence and ensures outcomes are comparable against the baseline.

An experiment workflow turns ideas into paper-ready results by enforcing governance via run manifests and durable outputs. It progresses from a bounded pilot to a main run, recording measurable evidence for outcome comparison.

You should avoid a structured experiment workflow if your idea validation lacks a defined baseline or cannot produce durable artifacts, as the process strictly requires PLAN.md and CHECKLIST.md to ensure reproducibility.