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Learn · reusable decision methods

AI Methods & Guides

Use a clear sequence, inspect the supporting evidence, and leave with a template you can apply to the next task.

These are working checklists—not universal rules. Every method states when to use it, where it was tested, what it produces, and where its conclusion stops.

← Back to LearnBrowse methods

Three maintained methods

Choose the decision record you need.

Each method links back to a real Case or Playground and includes a reusable Markdown artifact.

Method10–20 min

Judge an AI answer without guessing the model

Review task fit, claims, evidence, uncertainty, and usability before model identity can influence the decision.

Use when
You have two or more AI outputs for the same task, or one consequential output that needs a defensible acceptance decision.
Reusable output
AI output review record
Used at RichBay
Use the method →
Method10–15 min

Separate observations from inference

Turn sparse results into a decision without presenting labels, causes, or forecasts as observed facts.

Use when
You are interpreting pilot metrics, interviews, experiments, research notes, or AI-generated summaries that can easily overstate what the evidence shows.
Reusable output
Observation–inference ledger
RichBay tested
Use the method →
Method5–10 min

Audit an AI-generated calculation

Rebuild the arithmetic from source values, preserve intermediate precision, and accept the answer only when the path and result reconcile.

Use when
An AI answer contains arithmetic that affects a budget, estimate, report, comparison, or operational decision.
Reusable output
Calculation audit worksheet
RichBay tested
Use the method →