LoopZ started with a frustration I kept seeing: people have strong software ideas, but coding agents often receive vague instructions. The result is repeated clarification, unnecessary token usage, scope drift, and builds that look finished but aren’t actually verified. LoopZ turns a rough idea into a structured, execution-ready task for AI coding agents such as Codex and Claude. It helps define the scope, acceptance criteria, evidence requirements, safety boundaries, and stop conditions before the agent begins coding. The workflow is simple: Idea → Clarification → Confirmed contract → Agent task → Evidence → Assessment → Focused repair LoopZ isn’t trying to replace coding agents. It’s designed to help you give them a better assignment—and verify what comes back. This is an early release, so your feedback can genuinely shape what LoopZ becomes. I’d especially love to know: - Where did the workflow feel unclear or unnecessary? - Did the generated task improve your agent’s output? - What would make you use LoopZ for your next project? Try it with a real idea, challenge it, and tell me where it breaks. That feedback is more valuable than a polite compliment. Thanks for checking out LoopZ 🩵

LoopZ

From rough idea to verified build

From rough idea to verified build