Don't Trust One AI With the Facts. Make Them Argue.

A correct answer from one AI is a draft. Here is what the numbers say, and what changes when rival AIs argue it out.

How often AI is wrong in 2026

Large language models are fluent, fast, and wrong more often than they sound. In September 2026, First Page Sage ran 4,182 prompts through seven popular AI platforms. On the best platform, 8.7 percent of responses contained at least one false factual claim. On the worst, 24.6 percent did.

Two details in that study matter more than the headline rate. Questions built on a false premise produced a false claim 46.7 percent of the time, because the AI accepted the premise and built on it. Requests for citations or sources produced a false claim 27.9 percent of the time, and requests for statistics 22.6 percent. The errors read as fluently as the facts. For a college application, a legal detail, a medical question, a financial decision, or any claim that matters, a single AI response is a draft.

Why one AI answer is a draft

Most people skip the next step. They get a clean, certain-sounding reply and move on.

Michael MacDonald, the founder of AskBoard, says that habit cost him a year. The answer sounded certain, and it was wrong. So he built a process where no single AI gets the last word.

Every AI is one point of view. Each was built by a different company with its own idea of what a good answer looks like, and it delivers that view with the same confidence whether it is right or wrong. Ask one and you get one view. Ask several, blind, and the disagreement shows you where the real question is.

What happens when rival AIs argue it out

AskBoard puts eight AI models built by rival companies, one seat each, on the same question: Grok, GPT, Claude, Gemini, Llama, Qwen, Mistral and DeepSeek. Before any seat answers, a live web check settles the facts of the day the question rests on, and every seat reads the same question and the same facts. Each seat writes its first answer alone, without seeing any other. GG, the chair, puts the two answers furthest apart on stage to argue it out while a live fact-check runs. The other six watch, keep their own notes, and say whether the arguments moved them and why. You can step in at any point with context or a question of your own.

What comes back is a report that shows where each AI started, where it moved, why it moved, and what would have changed its mind. One plain answer sits at the top, with its reason and the one thing to check before you act.

What a Full Board report looks like

In the public Full Board sample, the question was a job offer that pays 30 percent more and means leaving a team and a city the person loves. Five of the eight landed on the same practical test: price the raise down to its real monthly value after tax, rent, commuting, moving and trips home, then ask whether the role and the city are still worth wanting at the smaller number.

Three seats held their positions with specific conditions: the hidden cost of rebuilding a life in a new city, the chance that the team itself looks different in six months, and what the current boss says when shown the offer. The report keeps the dissent, each seat's proposed test, and the record of who moved. Read it here: the Full Board sample report.

The seal: proof the work was done

Every report from a paid Full Board carries a seal with that report's number. The number opens a public page on askboard.ai that confirms the work went through the Board on that date; the details stay private until you publish them. The seal vouches for the process, never the answer. When someone asks whether you pressure tested a claim before acting on it, you have more than your word.

What the research says

Research on structured disagreement between models supports the intuition. In a 2024 paper from researchers at UCL, Anthropic and others, published at ICML, two models argued opposite answers to reading comprehension questions in front of a judge who had never seen the text. Judge accuracy rose from 48 percent to 76 percent for a model judge, and from 60 percent to 88 percent for human judges.

The gains depend on how the argument is run, and AIs can be wrong together as well as alone. AskBoard makes the remaining error visible and attributable, and it makes the assumptions behind an answer harder to skip past. The false-premise number above is why that matters: 46.7 percent of the time, the mistake was in the question, and nobody named it.

What it costs

A free account covers three everyday questions a day, each one fact-checked by a second AI. A Full Board is $30, or $20 on a plan, and ends with a written report you keep. Plans start at $17.95 a month. See pricing.

For decisions where a wrong answer has lasting cost, the value is a clear record of what rival AIs agreed on, what they rejected, and what still needs a person to verify. The decision is still yours. Pressure test it.

Frequently asked questions

How often is ChatGPT wrong?

In First Page Sage's September 2026 study of 4,182 prompts, 11.4 percent of ChatGPT responses contained at least one false factual claim. Claude was lowest at 8.7 percent and DeepSeek highest at 24.6 percent. Rates were far higher for questions with a false premise, 46.7 percent, and for requests for citations, 27.9 percent.

Is asking several AIs the same question better than asking one?

Asking several AIs blind shows you where they agree and where they split. Where they agree you have a floor. Where they split you have found the open part of the question. AskBoard goes one step further: the two most opposed argue it out while the others can change sides, so you see why an answer survived.

Does AskBoard guarantee the answer is correct?

AskBoard vouches for the process, never the answer. Every seat is an AI, and AIs can be wrong, together as well as alone. AskBoard makes the disagreement visible, names the assumptions, runs a live fact-check while the two argue, and seals a paid Full Board report so the process can be verified. The decision stays with you.

What does the AskBoard seal prove?

That a Full Board ran on a given date, and that the report on your screen is the one the Board wrote. It vouches for the process, never the conclusion. Anyone with the number can check it on askboard.ai.

How much does a Full Board cost?

$30, or $20 for anyone on a plan. A free account covers everyday questions. Plans and prices.

Research and references

• First Page Sage, "AI Hallucination Statistics: October 2026", 4,182 prompts, September 2 to 29, 2026: firstpagesage.com
• Khan et al., "Debating with More Persuasive LLMs Leads to More Truthful Answers", ICML 2024, PMLR 235: proceedings.mlr.press