To fact-check an AI answer, ask for sources, open each one, and confirm it says exactly what the AI claimed. Cross-check anything important against an official or independent source, and be most careful with numbers, dates, names, quotes and references. If you cannot find support for a claim, treat it as wrong until proven right.
What is an AI hallucination?
OpenAI defines hallucinations as plausible but false statements generated by language models (OpenAI). The same article explains that standard training and evaluation reward guessing over admitting uncertainty. In plain terms, the model is built to produce a fluent answer, and a fluent answer can be wrong. That is why a confident tone tells you nothing about accuracy.
Which AI answers need checking?
Not every answer needs the same effort. A birthday message does not need sources. These do:
- Numbers: prices, percentages, exchange rates, statistics, dates and deadlines.
- Names: people, companies, laws, books, court cases and research papers.
- Quotes: anything presented as what a real person said or wrote.
- Rules: tax, visa, legal, exam or university requirements.
- Health and money: anything you might act on that could hurt you if wrong.
A six-step method to check any AI answer
- Ask for sources. Follow up with: "Which sources support each claim? Give links."
- Open every link. Check the page exists and is from a real, relevant publisher.
- Match the claim. Find the exact sentence that supports it. A source on the same topic is not enough.
- Cross-check. Confirm important facts with a second, independent source, ideally an official one.
- Check the date. Rules, prices and product features change, so make sure the source is current.
- Decide. Keep what is supported, correct what is not, and delete what you cannot verify.
For facts about Pakistan, go to the source. Tax questions belong on the FBR website, exam and degree rules with your board or university, and exchange rates with the State Bank of Pakistan. An AI summary of an official page is never better than the page itself.
Warning signs of a hallucination
- A reference you cannot find in a quick search, or a link that leads nowhere.
- Very precise numbers with no source attached.
- A quote that sounds right but appears nowhere else.
- Different answers when you ask the same question again.
- An answer that agrees with whatever you suggested, even when you were wrong.
- Details that do not fit what you already know about the topic.
Tools that make checking easier
Perplexity builds answers from current web pages and cites its sources (Wikipedia: Perplexity AI). Gemini can show source links within and below its responses (Gemini Apps Help). Gemini Notebook answers only from documents you upload, which reduces the risk of made-up information when you work with your own files (Gemini Notebook). None of these removes the need to read the source. A citation is a lead, not a proof.
Prompts that reduce mistakes
Anthropic’s own guidance for Claude suggests three simple techniques: give the model permission to say it does not know, ask it to pull direct quotes from a document before it answers, and have it support every claim with a quote or remove the claim (Claude documentation). They work in ChatGPT and Gemini too. Try adding these lines to your prompts:
- "If you are not sure, say you do not know."
- "Answer only from the document I uploaded. Quote the sentence you used for each point."
- "After answering, check each claim. Remove any claim you cannot support with a quote."
Another quick test is to ask the same question twice, or in two different assistants. If the answers disagree on a fact, check that fact first. Not sure which assistants to compare? Read ChatGPT vs Gemini vs Claude vs Perplexity vs Grok.
A worked example
Say you ask an assistant for the deadline to file your income tax return. It gives a date and cites a news article. You open the article and find it is from an earlier year. You then check the FBR website, which is the official source, and find the current date there. The AI answer was plausible, sourced and still out of date. That is exactly the kind of error the six steps catch.
Build the habit
Fact-checking is a habit more than a trick, and it gets faster with practice. The SkillsVerx AI Skills course builds it into every module, from research with sources to summarising PDFs, so checking becomes part of how you use AI.
Frequently asked questions
Why does ChatGPT make up facts?
Language models predict likely text. When they lack the right information, they can produce a plausible answer instead of saying they do not know. OpenAI links this to training that rewards guessing.
Is Perplexity more accurate than ChatGPT?
Perplexity shows its sources by default, which makes checking easier. It can still misread or misquote a source, so you check it the same way.
Can AI check its own answers?
It can help, for example by finding a quote that supports each claim. It cannot replace you opening the source and reading it.
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