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Concept Fable

Fact-checking

Conclusion first:Fact Verification is the process of checking AI-generated claims, conclusions or key facts against trusted sources, original evidence, authoritative systems or business records. It is used to reduce the risk of hallucinations, outdated information, misinterpretation and error propagation. For Agent systems, fact verification is especially applicable to external communications, decision recommendations, compliance content, contract materials and high-impact business actions.

Fact Verification · Operations/Risk

Read the story first. There is no rush to give a definition here; let the question grow on its own first.

Fable

Before the notice is posted, the clerk must knock on three doors

The clerk of Spruce Town wrote quickly. When the town needed to issue notices, he could organize the language clearly: road closures, tax period adjustments, market day changes, river bridge repairs. Everyone said he was the best notice writer in town.

One day, he heard that the East Bridge would be closed for three days next week, so he wrote a notice and posted it at the street corner. Merchants began changing delivery times, and boatmen took long detours. But the next day a craftsman came to ask: who said it would be closed for three days? We were only preparing to survey; actual construction has not been approved yet.

The clerk was embarrassed. He said the news had come from the dock manager and sounded reliable. The mayor said that reliable people may also know only part of it. Once a notice is posted, it is no longer just idle talk; it will change many people's actions.

So the town set new rules. Any notice affecting money, roads, contracts, medicine, taxes, law and public arrangements could not rely on a single source. After the clerk finished writing, he had to knock on three doors: the first door was the original record, the second door was the responsible department, and the third door was the latest status. Only if all three matched could it be posted; if they did not match, it was written as pending confirmation.

Later another rumor spread that the North Market would be cancelled. The secretary did not rush to post a notice. He checked the meeting minutes, asked the market manager, and reviewed that day's weather alerts. It turned out it was not cancelled, but delayed by one hour.

This notice caused less alarm and more accuracy. The merchants didn't waste effort, and the townspeople didn't misunderstand. The clerk understood that writing beautifully was only the last step; before posting, the facts had to pass through the gate first.

Later, Spruce Town put the rule very simply: words that will make others act—don't rush to believe them; go verify first. The clerk also learned to write out uncertainty. If one of the three doors had not yet opened, he would rather post a temporary notice than package rumor as conclusion and make the whole town pay for a pretty sentence. In the end, the townspeople trusted him even more. Because everyone knew that when the clerk was uncertain, he marked the uncertainty; and once the town seal was stamped, those words had already passed through the doors they should pass through.

Reveal

This story is about: fact verification

Fact Verification is the process of checking AI-generated claims, conclusions or key facts against trusted sources, original evidence, authoritative systems or business records. It is used to reduce the risk of hallucinations, outdated information, misinterpretation and error propagation. For Agent systems, fact verification is especially applicable to external communications, decision recommendations, compliance content, contract materials and high-impact business actions.

What matters is that it is not just a term, but a structural problem that repeatedly appears in real AI / Agent systems. Understanding it lets you judge when to add a model, when to change a process, and when to add governance.

Metaphor mapping

  • Scribe: an AI / Agent that generates answers or announcements
  • Construction news heard secondhand: unverified model evidence or external information
  • Notice posted: AI output is used in real business or external communications
  • Merchants reroute deliveries, boatmen take detours: wrong facts trigger real-world action costs
  • Three doors: multiple trusted verification sources or verification steps
  • Primary records: first-hand evidence, documents, databases or system records
  • Responsible department: authoritative business owner or responsible system
  • Latest status: avoid citing outdated information
  • Write it as pending confirmation: express uncertainty when verification is insufficient, rather than forcing out a conclusion

Andy Ren Xu's judgment

The practical value of this concept is that it helps you break "AI features that look smart" into deliverable, verifiable, and governable units of work.

groundingcitationhallucination riskhuman reviewauditability

Related distinctions

This concept is easily confused with adjacent concepts; it is recommended to continue to the comparison page.

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