SQUIRE IT™The product thesis
People learn one behavior—Squire It—while the governed procedure beneath it evolves. Applications provide the domain workflow. Squire provides protocol selection, challenge, Rails, and a receipt. The ambition is a reusable checking layer across applications.
Why the problem deserves attention
Generative AI risk is recognized in NIST guidance; consumer fraud is documented by the FTC. Those sources establish a problem context, not Squire’s market size, addressable revenue, or efficacy. NIST Generative AI Profile · FTC: reported fraud losses in 2025
What must be proven
Does a check identify consequential problems without overwhelming people with false alarms? Does it preserve intent? Do users return? Can useful checks run at sustainable cost and latency? Can the result and its limitations be understood? These are diligence questions, not established metrics.
What you can inspect today
Explore the consumer demos, the Constitution, and the protocol architecture. This website demonstrates the experience. Production performance requires separate evidence.
Evidence for the next diligence package
A versioned product walkthrough; benchmark definitions and raw outcomes; known failures; cost and latency distributions; retention evidence; data-flow and security documentation; and confirmed entity/IP records. This site does not publish financial projections or a fundraising offer.
If it matters, Squire it.
Explore the demonstrations ↗