Wayfog

AI and product practice move fast, and reading feeds pull attention away from learning. The reading tools I checked personalize from interests and reading behavior, but none of them test what I took in and use that to choose what comes next, so I built Wayfog for myself. Wayfog is a map of 25 PM and AI topics that starts dark. Each day one area appears with a long briefing that Muse Spark writes from cited web sources, and I read it inside the app. Three questions sit at the end and I answer them out loud. Two strong answers and no weak one clear the area, and the fog lifts there for good. An unfinished briefing leaves the area dim, and "I know this" marks known ground, so the map can tell known apart from lost interest. The Path tab keeps the real record: time spent, how far I read, where I stopped, skips and answer strength. My map sits behind a private link. A stranger gets a visitor map of their own, with a short landing and three onboarding screens, daily limits and a spend stop, so nobody can change my map or drain the credit. The film shows a "Demo: next day" control, which is labelled as a demo and moves the map one day so the film can show days passing. Live: https://gauravg.dev/builds/wayfog (also https://wayfog.vercel.app/builds/wayfog) It has one user till now, me, and no user research yet, so the wider claim stays a belief until other people use it.