What to watch for
- The answer does not mention dates, versions, or current documentation.
- It recommends deprecated APIs, old commands, or retired product names.
- Recent release notes or official docs say something different.
AI mistake case study
AI giving an outdated answer
A case page for examples where AI gives information that was once valid but is no longer current.
This happens when AI gives an answer that may have been true for an older version, older policy, older API, or older market condition.
The goal is to show learners how to question AI output, verify the answer, and use human judgment before accepting a conclusion.
Case details
Outdated answers can break code, mislead learners, and create wrong business decisions when tools, frameworks, pricing, laws, or documentation have changed.
Wisen trainers have already mapped screenshot evidence for this category.
Use AI to generate possibilities, then use sources, tests, and expert judgment to decide what is true.
Evidence
These examples are already mapped to this AI mistake type.
Claude | Claude/D18
What went wrong: The AI relied on an older command, specification reading, or documentation understanding.
Correction: Check the current tool version, official docs, and recent behavior before publishing.
Lesson: Current versions matter, especially for tools, APIs, and standards.
Gemini | Gemini/G10
What went wrong: The AI relied on an older command, specification reading, or documentation understanding.
Correction: Check the current tool version, official docs, and recent behavior before publishing.
Lesson: Current versions matter, especially for tools, APIs, and standards.
Gemini | Gemini/G28
What went wrong: The AI relied on an older command, specification reading, or documentation understanding.
Correction: Check the current tool version, official docs, and recent behavior before publishing.
Lesson: Current versions matter, especially for tools, APIs, and standards.
Got Questions - Quick Answers
Focused answers for this specific AI mistake pattern.
AI may rely on older training examples, older documentation, deprecated commands, or a past version of a tool unless the learner checks the current version.
A current answer should mention the relevant version, documentation date, command syntax, and any changed behavior that affects the recommendation.
Check official documentation, release notes, installed package versions, CLI help output, or the actual runtime behavior in the current project.
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