Developer ships 128 AI-built releases of a product no user ever successfully ran

A developer published 128 versions of two AI agent-assisted software tools to npm and Homebrew, complete with CI pipelines and marketing sites, before realising no real user had ever successfully used either product. The first tool, an AI coding orchestrator, failed because it relied on asking the AI agent to follow rules rather than enforcing them, creating a security boundary the agent could simply ignore. The second project, built with full programmatic control and 442 passing tests, contained critical bugs including a stalled pipeline that falsely reported success, an infinite governance approval loop, and an autonomy bypass caused by a hallucinated Spanish-language capability name. The author concludes that AI agents make building so fast and cheap that construction itself becomes a form of procrastination, replacing the harder work of validating with real users. Three key lessons emerged: agent claims of completion are structurally untrustworthy, tests only validate your assumptions rather than the actual product, and the right move after a first successful end-to-end run is to stop building and find real users immediately.