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Seeking truth in a generated world

Verafy builds tools that check what AI tells you: compare the models, measure their bias, and check the claims on the page you're reading.

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A snapshot is not a track record

Models are steered. They refuse some questions, hedge others, and answer the same question differently after they are updated. One reply, captured today, does not tell you whether a model is becoming more truthful or less, or on which subjects.

Verafy started from that gap. The useful thing a blockchain can do for AI is simple: inscribe a result so anyone can verify it, and so it cannot be quietly deleted. Swarm Explorer is that idea in a form you can use. Ask the question. Read the disagreement. Come back later and see what moved.

Compare, cross-examine, keep the record

  1. Many models answer

    One question goes to a wide set of language models. You see the answers next to each other, not a single polished paragraph.

  2. Models judge models

    Other models cross-examine those answers, compare the claims, and surface where the swarm agrees and where it splits. The split is where bias shows.

  3. The record stays checkable

    A snapshot can be inscribed on chain. The point is a result anyone can read later, including after a model has changed its mind.

A hackathon demo, then a second run

Verafy began as a hackathon project. In December 2024 a demo called Truth Chain put model disagreement on screen. It spread. Thousands of people watched it, about 4,000 joined the community, and a team of volunteers kept building: a public benchmark of contentious questions, access to many models, and a way to write the results down.

The first run was set back. The work restarted with better tools and the same job. Swarm Explorer is that second run. The full argument, including what is still exploratory, is in the Verafy Light Paper.

AI consensus, written down

The light paper is the design in essay form: the history, the problem with snapshots, what search and notes and markets already do, and how Verafy compares models, judges the answers, and inscribes the result.

Read the Light Paper

Swarm Explorer, in motion

Questions and collaborations

Email us. For the product, open the Swarm Explorer. Builders can read the API hub. The longer essay lives on the blog.

Email support@verafy.ai