A consent-first, wellbeing-aware planner with a genuinely tested decision matrix and standout accessible design, whose pitched AI loop is mostly stubbed, whose integrations are unverified, and whose own pack cannot decide which app it is showing.
The consent-first bridge from how you feel to an approved calendar change is a genuine wedge. But the delivered core is a simple four-branch energy and stress matrix and the pitched conversational loop is only partly built, so the innovation is real but moderate, which the evidence supports over both the loftier and the harsher readings.
Sport and mental wellbeing genuinely drive the tested matrix, so the council sides with the higher scores over the view that the fit is shallow. The fit is still capped because health input is entirely self-reported, the HRV, sleep and resting heart rate fields are never populated, and access to care is only support contacts and a 112 card.
Members disagree here: scores range by 3.0 points.Account-free setup, one-tap check-ins, bilingual UI, consent screens and disclaimers show real usability care. But nothing is verified on a device, calendar writes need a development build, the LLM path needs external credentials, and no live demo was checked, so everyday use is limited to the local rules path.
The token-based dark Lichen theme has documented WCAG contrast, colour-vision-deficiency simulations, and glyph plus label so meaning never rests on colour alone. All three members agree here and differ by only half a point.
Roughly 16k lines of source and 72 tests cover the decision matrix, scheduler and calendar adapters, backed by unusually honest limits documentation. But the LLM is stubbed, OAuth and encrypted storage are unverified on any device, and the repo bundles a second app and a starter scaffold, blurring what this entry actually is.
claude:glm-5.3-flash73.580% agreedots-studio/dots-3-note-preview:free61.060% agreeinclusionai/ling-3.0-flash-sante:free66.090% agreeclaude:glm-5.3–judgeThe council, the evidence pack, the prompts and the queue are all on GitHub. If a review helped you, a star helps other teams find it.