# One AI Output Is an Example, Not an Evaluation

DevFeed: [One AI Output Is an Example, Not an Evaluation](<https://devfeed.tech/articles/one-ai-output-is-an-example-not-an-evaluation-9035.md>)

Original publisher: [Read original article](<https://www.nngroup.com/articles/eval-ai-output/>)

Author: Raluca Budiu

Published: 2026-08-14T17:00:00Z

Content type: article

Language: en

Sources: [NN/g latest articles and announcements](<https://devfeed.tech/sources/nn-g-latest-articles-and-announcements.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Human-AI evaluation](<https://devfeed.tech/topics/human-ai-evaluation.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [User experience (UX)](<https://devfeed.tech/topics/ux.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [article](<https://devfeed.tech/tags/article.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [confidence-interval](<https://devfeed.tech/tags/confidence-interval.md>), [eval](<https://devfeed.tech/tags/eval.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [nondeterminism](<https://devfeed.tech/tags/nondeterminism.md>), [performance](<https://devfeed.tech/tags/performance.md>), [research](<https://devfeed.tech/tags/research.md>), [statistical-significance](<https://devfeed.tech/tags/statistical-significance.md>), [usability](<https://devfeed.tech/tags/usability.md>)

## AI overview

One AI output is only an example, not a reliable evaluation. Because AI systems can produce different results from the same input, teams should assess them with multiple representative inputs, repeated runs, quantitative metrics, and confidence intervals.

## Source excerpt

One output cannot establish how well an AI system performs. Evaluate with multiple representative inputs, repeated runs, and confidence intervals.