self-consistency

self-consistency shows up constantly when teams ship LLM features. Practically, it influences how you design prompts, evaluate quality, and reason about failure modes. Teams should document how self-consistency manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.