Match each TRACE letter to the evaluation question it represents.

undefined (Each letter stands for a specific question you should ask before trusting AI output.)

Scenario: You ask AI for the top 3 benefits of a new diet. The answer sounds great, but when you search for the same topic on Perplexity, none of the same benefits appear. Which TRACE step caught this?

T — Truthful: the claims couldn't be verified with a second source. (Truthful is about whether the core claims hold up when you cross-reference them.)

Scenario: You asked ChatGPT to list 3 marketing strategies for a coffee shop, but half the response is about general small business accounting tips. Which TRACE step flags this?

R — Relevant: the AI wandered off-topic instead of answering your actual question. (This isn't about truth or completeness — the answer simply doesn't match what was asked.)

Scenario: AI tells you a product launched in 2019 and costs $29/month. You check and find it launched in 2021 and costs $49/month. Which TRACE step catches this?

A — Accurate: the specific dates and numbers were wrong. (The answer was on-topic and the product exists — the problem was the specific details.)

Scenario: You ask AI about the benefits of a medication. It lists 5 benefits but doesn't mention any side effects or risks. Which TRACE step catches this?

C — Complete: the AI left out critical information about risks. (Omission is a form of misinformation — the answer needs to include the full picture.)

Scenario: You use AI to write 90% of a graded research paper, then submit it as your own original work. Which TRACE step should have stopped you?

E — Ethical: you can't comfortably explain how you used AI to produce this result. (This is about whether you'd be comfortable telling your professor exactly how you produced the work.)

When should you run TRACE on an AI response?

Whenever the output will be submitted, published, or shared with someone else. (Casual questions don't need it — but anything that leaves your screen does.)

Why does learning to evaluate AI output give you a competitive advantage right now?

Because most people copy-paste AI responses with zero verification, making your reliability rare and valuable. (The advantage isn't speed — it's trustworthiness. Most people skip verification entirely.)

What is the single most dangerous habit when using AI for important work?

Copy-pasting an AI response directly into your work without any verification. (The lesson calls this the one step that every person who gets burned by AI skipped.)

Evaluating Output — Eficiencia de Estudio con IA

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Evaluating Output — Eficiencia de Estudio con IA

Módulo 3: Knowing what not to trust — Knowing what NOT to trust is huge. We'll learn how to spot when AI makes things up.

Match each TRACE letter to the evaluation question it represents.: — Each letter stands for a specific question you should ask before trusting AI output.
Scenario: You ask AI for the top 3 benefits of a new diet. The answer sounds great, but when you search for the same topic on Perplexity, none of the same benefits appear. Which TRACE step caught this?: T — Truthful: the claims couldn't be verified with a second source. — Truthful is about whether the core claims hold up when you cross-reference them.
Scenario: You asked ChatGPT to list 3 marketing strategies for a coffee shop, but half the response is about general small business accounting tips. Which TRACE step flags this?: R — Relevant: the AI wandered off-topic instead of answering your actual question. — This isn't about truth or completeness — the answer simply doesn't match what was asked.
Scenario: AI tells you a product launched in 2019 and costs $29/month. You check and find it launched in 2021 and costs $49/month. Which TRACE step catches this?: A — Accurate: the specific dates and numbers were wrong. — The answer was on-topic and the product exists — the problem was the specific details.
Scenario: You ask AI about the benefits of a medication. It lists 5 benefits but doesn't mention any side effects or risks. Which TRACE step catches this?: C — Complete: the AI left out critical information about risks. — Omission is a form of misinformation — the answer needs to include the full picture.
Scenario: You use AI to write 90% of a graded research paper, then submit it as your own original work. Which TRACE step should have stopped you?: E — Ethical: you can't comfortably explain how you used AI to produce this result. — This is about whether you'd be comfortable telling your professor exactly how you produced the work.
When should you run TRACE on an AI response?: Whenever the output will be submitted, published, or shared with someone else. — Casual questions don't need it — but anything that leaves your screen does.
Why does learning to evaluate AI output give you a competitive advantage right now?: Because most people copy-paste AI responses with zero verification, making your reliability rare and valuable. — The advantage isn't speed — it's trustworthiness. Most people skip verification entirely.
What is the single most dangerous habit when using AI for important work?: Copy-pasting an AI response directly into your work without any verification. — The lesson calls this the one step that every person who gets burned by AI skipped.