I built Proofline because AI agents are getting too good at sounding finished

A developer built Proofline, a 5-skill Markdown pack that catches fake-ready output from AI agents before it becomes a release or handoff. The tool works as a review route after agent output, asking questions about missing references, unchecked items, and actual fixes needed. It targets builders using Codex-style agent chats, AI coding workflows, and Markdown handoffs.

AI agents are getting very good at writing final reports. The problem is not only that they make mistakes. The problem is that sometimes they make mistakes with excellent presentation. Proofline is a 5-skill Markdown pack that catches fake-ready output before it turns into a release, handoff, public post, or "yeah, looks done". It is not trying to be another giant agent. It works as a review route after the agent produces a result: Each step asks an annoying but useful question: what is missing from the references, what was not checked, where did the agent pretend everything was fine, and what actually needs to be fixed? Builders working with Codex-style agent chats, AI coding workflows, Markdown handoffs, and any process where "done" needs to mean more than a confident paragraph. Release: https://github.com/aisflows/proofline/releases/tag/v0.2.0-rc5 https://github.com/aisflows/proofline/releases/tag/v0.2.0-rc5