Quality Validation Patterns
Quality Validation reduces errors by making knowledge, decisions, and claims explicit before or after generation. It forces the model to surface assumptions, commit to positions that can be examined, evaluate its own output, and enumerate what it asserts as true. These patterns improve reliability by creating inspection points rather than hoping the first answer is correct.
Knowledge Externalization
Forces the model to generate and write down the background knowledge it will rely on, then perform the task while conditioning on that explicit knowledge.
Deferred Commitment
Forces an explicit decision early, while deliberately deferring final commitment until that decision has been evaluated.
Reflective Evaluation
Requires the model to explicitly evaluate its own output before revising or committing to a final answer.
Claim Enumeration
Requires the model to explicitly list the claims its output asserts as true, making those claims visible and reviewable without attempting to verify them.