From Aspiration to Evidence: Making AI-Generated READMEs Defensible

As AI-assisted development tools like Claude become central to project documentation, unverified claims pose a real credibility risk. This article presents a five-gate verification framework—from evidence mapping to live demonstrations—that eliminates aspirational language and ensures every claim is backed by measurable proof. For developers shipping AI-assisted projects, it's a practical defense against the career-threatening credibility collapse that occurs when documentation doesn't match reality.