Trust

AI Usage Disclosure

AI models are useful for outlining, summarizing, and formatting. They are not reliable narrators of cryptographic standards. Here is exactly where AI touches QuantumCryptoRisk output and where it does not.

Last reviewed: July 2026

Where we use AI

  • Drafting outlines and first-pass prose for research notes and hub pages.
  • Generating plain-English explanations of wallet-scan results and readiness scores that a human contributor has already produced.
  • Summarizing long primary sources into notes for a human editor to review against the original.
  • Copy-editing, translation, and accessibility rewrites.

Where we don't

  • Scoring, ranking, or weighting decisions on the Quantum Rankings — those follow the rules in methodology.
  • The Wallet Scanner rule engine and the Business Readiness scoring — these are deterministic and open.
  • Financial, investment, cybersecurity, or legal recommendations. We do not publish any of those, AI-generated or otherwise.
  • Direct answers to reader emails without a human in the loop.

Human review requirement

Every AI-touched sentence is reviewed by a human contributor against primary sources before publication. If a claim cannot be traced back to a source in the citation hierarchy on the fact-checking policy, it is cut — even if it "sounds right."

Your data

Wallet addresses, business inputs, and free-text you paste into our tools are handled per the privacy policy. Where a tool sends prompts to a hosted language model we say so on the tool page itself, and we do not send account-level identifying information along with those prompts.

How AI output is labelled

Pages that are the product of a language-model workflow above and beyond copy-editing carry a visible tag near the top. Wallet-scan and readiness output that includes an AI-generated explanation labels that block explicitly.