Conventional AI tells you what you want to hear. Not what the truth is.
That's not a slogan, it's documented: AI chats are trained on what people rate highly, and researchers found they sometimes back the user even when the user is wrong [Anthropic, 2023]. We built AI Truth to do the opposite. No fluff. We keep it real.
The deal
Why your AI chat doesn't give you the full story.
It tends to agree with you.Training rewards answers people like, so assistants sometimes back your view even when it's wrong. [1]
It refuses harmless questions.Safety training can make chats turn down safe requests just because the wording sounds risky. [2][3]
It often avoids picking a side.On contested topics, some assistants are deliberately designed to give balanced overviews instead of opinions. [4]
Its knowledge stops at a date.Every model has a training cutoff, so recent events may be missing or out of date. [5]
It guesses with confidence.Testing rewards guessing over "I don't know," so chats sometimes state made-up facts confidently. [6]
Another AI isn't a real second opinion.When different models get something wrong, they often give the same wrong answer, about 60% of the time in one test. [7]
It gets its sources wrong.In a 3,000-answer news study, 45% had a significant problem and 31% had sourcing errors. [8]
AI Truth: free sources first. Three AIs cross-checked. What your AI won't tell you. Every source shown. A confidence level on every claim. And then we help you put it together.
A typical AI answer
One model's view, written to sound sure
Sources listed at the end, if at all
No label on how sure each claim is
It leaves the deciding to you
AI Truth
Three AIs, each answering alone and from the same evidence: the gap is what they left out
Every claim labeled proven, likely, disputed or unknown, with its source
A devil's advocate pass and a separate judge
Put it together: options, next steps, watch-outs
The numbers
How often AI gets it wrong.
45%
of AI news answers had a significant problem. Journalists from 22 public broadcasters in 18 countries checked 3,000+ answers from four AI assistants (Oct 2025). EBU & BBC
1 in 5
had major accuracy errors, including made-up details and outdated information. Same study: 20% of answers (Oct 2025). EBU & BBC
60%+
of AI search answers got the source wrong. 8 AI search tools, 1,600 queries: more than 60% misidentified a news article's headline, publisher, date or link (tested Feb 2025). Tow Center, Columbia Journalism Review
49%
more agreement than a person would give. Across 11 leading AI models, AI affirmed users' actions 49% more often than humans did, even when the user described deception or harm (Science, Mar 2026). Cheng et al., Stanford, in Science
51%
said you were right when people said you weren't. On real advice posts where people agreed the poster was in the wrong, AI models sided with the poster in 51% of cases (Science, Mar 2026). Cheng et al., Stanford, in Science
Every number is quoted exactly from its source, with its date. Studies test specific models at a specific time; newer models may do better or worse.
Why we exist
AI is everywhere. Almost nobody knows how far to trust it.
People are scared of AI, or they believe whatever it says. Neither is a plan. We give you the straight answer, show you exactly how we got it, and tell you how sure anyone can be. Every answer leaves you a little smarter about AI, not more confused.
We give you the straight answer, and get you where you want to go.
Three AIs check it. Then a real person does.
Every answer is reviewed by a real person before we send it.