AI writing tools are good at fluent text and unreliable about facts. They generate words that sound right, and they have no built-in sense of whether a statement is true. The result can read well and still be wrong. If you publish, submit or send AI-written text, checking it is your job. This guide gives you a routine.
Why mistakes happen
A language model predicts likely text from patterns it learned. It does not look things up unless it is connected to a source, and even then it can misread what it finds. That leads to a few typical problems:
- Invented details, such as a statistic, a date or a name that sounds plausible but is made up.
- Fake sources, including citations to articles or studies that do not exist, or that say something different.
- Misattributed quotes, with words put in someone's mouth.
- Out-of-date information, because the model's knowledge stops at some point in the past.
- Confident generalizations that are partly true but miss important exceptions.
The more specific a claim is, the more it needs checking.
What to check first
Go through the draft and mark every statement of fact:
- Numbers and statistics. Percentages, amounts, dates, rankings, sizes.
- Names. People, companies, places, products, laws, titles.
- Quotes. Anything in quotation marks, or attributed to a person.
- Citations. Every source named or implied.
- Claims about cause and effect. "X leads to Y", "studies show".
- Anything recent. Prices, policies, versions and news.
How to verify
Find the original source. For each important claim, look for a primary source: the official website, the study itself, the law, the company's own report. A second article repeating the claim is not enough.
Check that the source says what the text says. Read the relevant passage. A real study can be cited for a conclusion it does not support.
Search for quotes. Put a short piece of the quote in a search engine. If you cannot find it attributed to that person, do not use it.
Verify that a citation exists. Look up the title, author and publication. If it cannot be found, delete it.
Check the date. For anything that changes over time, confirm it is still true today.
When you cannot verify it
If you cannot find support for a claim, take it out, or rewrite it as something you can support: "Many people believe...", or simply remove the specific number. A vaguer true statement is better than a precise false one.
Be extra careful with high-stakes topics
Take particular care with health, legal, financial, safety and news content. A mistake there can hurt people. For those subjects, rely on qualified professionals and official sources, not on generated text.
Tools that summarize or answer from a document
Summaries and answers based on a document you provide are usually closer to the source, but they can still drop caveats or misread. When you use a Text Summarizer or an essay draft from our Essay Writer, compare key points with the original, and add real citations yourself.
Keep a record
For work that matters, note where you verified each claim. It helps you answer questions later and makes updating easier.
Be honest about AI use
If your school, employer or publisher requires you to disclose AI assistance, do so. Fact-checking does not replace following those rules.
A quick checklist
- Did I mark every fact, number, name and quote?
- Did I check each against a reliable, original source?
- Did I remove or rewrite anything I could not verify?
- Are all citations real and accurate?
- Is the information current?
Checking takes time, but it is what turns a fluent draft into something you can trust.