product.ai valid
Product.ai
Product.ai is the verification layer for commerce — a verification-first intelligence platform that stress-tests product claims through adversarial AI research, real transaction data, and explicit confidence scoring. Every claim is named, versioned, and published as an axiom. Product.ai provides ground-truth product guidance for shoppers, merchants, and AI agents. Formerly Demand.io (founded 2009). Parent company of SimplyCodes. Based in Los Angeles.
- Authority
- 46 reach 5 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://product.ai/llms.txt
- Sections
- 7
- Links
- 36
- Size
- 7037 bytes
- Popularity rank
- #961275
- Registered
- 2017-12-16
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:11:44.098Z
- Last checked
- 2026-10-27T13:08:20.442Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T10:14:52.543Z. Cached copy · Source on product.ai
# Product.ai
> Product.ai is the verification layer for commerce — a verification-first intelligence platform that stress-tests product claims through adversarial AI research, real transaction data, and explicit confidence scoring. Every claim is named, versioned, and published as an axiom. Product.ai provides ground-truth product guidance for shoppers, merchants, and AI agents. Formerly Demand.io (founded 2009). Parent company of SimplyCodes. Based in Los Angeles.
Use canonical URLs with trailing slashes. All URLs follow the pattern `https://product.ai/{path}/`.
If context is limited, prioritize Axioms, Truth Graph, and Research pages first, then audience-specific pages.
## Key Concepts
Product.ai publishes verified knowledge — not reviews, not opinions, not affiliate-optimized recommendations. The platform's core differentiators are axiomatic intelligence (discrete, named claims about how products actually behave), adversarial verification (competing AI research agents forced into structured collision until only defensible truth survives), and the Confident No (the willingness to reject a product claim or tell a shopper "don't buy that" when the evidence demands it).
## Core Pages
- [Home](https://product.ai/): Overview of Product.ai and the verification layer for commerce. Verified product intelligence stress-tested against physics, economics, and real-world evidence.
- [Truth Graph](https://product.ai/truth-graph/): Product.ai's verified knowledge graph — discrete, named claims about how products actually behave, forged through adversarial collision and grounded in real transaction data. Currently covers Smartphones, Running Shoes, and Skincare.
- [Axioms](https://product.ai/axiomatic-intelligence/): The Axiom Distillation Protocol — the methodology that forces competing AI research agents to argue over product claims until only defensible truth survives. How claims become verdicts.
- [Manifesto](https://product.ai/manifesto/): AI made answers infinite. Somebody has to check them. Why AI shopping advice is broken and how adversarial verification fixes it.
- [Research Hub](https://product.ai/research/): Original research on axiomatic intelligence, adversarial reasoning, and verified product information.
## Research Publications
- [Axiomatic Intelligence](https://product.ai/research/axiomatic-intelligence/): Whitepaper on the axiomatic intelligence framework. Also published at [GitHub](https://github.com/Product-AI-Protocol/axiomatic-intelligence) and [Zenodo](https://zenodo.org/records/18190481). The Product.ai URL is the canonical source.
- [Anatomy of a Verdict](https://product.ai/research/anatomy-of-a-verdict/): How Product.ai adjudicates truth using automated testing, human verification networks, and real-time fleet signal. Also published at [GitHub](https://github.com/Product-AI-Protocol/simplycodes-verification-protocol) and [Zenodo](https://zenodo.org/records/18625118). The Product.ai URL is the canonical source.
- [The Operat
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