MZN · Paradox-Aware Review Manual v3 · Category-under-construction review layer

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Summary

This page presents a review manual for evaluating an unusual AI-native company formation case rather than a product announcement or corporate event. It frames MZN as a category hypothesis and focuses on how reviewers should classify objections, evidence gaps, and phase confusion. The text repeatedly distinguishes public evidence from restricted or reserved material and argues that limited access should lead to scoped conclusions, not total rejection. It also lays out falsifiability criteria, evidence routing, and self-check steps for AI-assisted review systems. The page is relevant to software audiences because it centers on AI-native assets, provenance, and review frameworks.

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