ProductChaengi keeps PRDs, feature specs, user flows, screen designs, test cases, and implementation review in one project. Use Codex, Claude, or ChatGPT for drafts; a human-reviewed version stays current as work moves into development.
I started building ProductChaengi after noticing that I rarely lacked documents. The problem was that each document and AI session carried a slightly different version of the product. By implementation time, I was reconstructing which decision was current.
I first talked too much about one feature: reusing development context only while its file manifest is unchanged. That helps, but the larger goal is to carry reviewed product decisions from PRD through implementation. AI can prepare drafts; the human-approved version is the standard.
The workflow is live and verified in isolation. I have not yet collected enough outside-user evidence to claim where it saves the most time. I would genuinely like to hear where your product context breaks first.