We show the work. Including the work in progress.
Most health platforms present a finished wall of advice. We show you the production line: what we're building, what's been requested, what we're reading now, what just got graded, and what shipped. The same honesty we apply to the evidence, applied to how the evidence gets made.
Building next
Forward-looking. Intent, not commitment.Direction, not promises. This is what we are building and the order we are building it in. Dates move and some of it will change. When a thing ships it drops into What shipped below, with the detail. Martin-edited.
The authoring queue
Illustrative pre-launch pipeline. The live queue fills from your suggestions.Every entry moves left to right. Nothing reaches the library until it's graded and receipted, and you can watch it get there.
Tell us what to grade next
Unsure about a supplement, a protocol, a claim you keep seeing? Send it. Requests shape the queue, and tell us where the confusion is thickest.
What shipped
Knowledge base, stories, product. New entries, regrades, and what changed our mind.
We found and fixed a set of quiet wearable bugs. Sleep that ran across midnight was being counted against the wrong day, and two different sleep-stage formats were being averaged into a number that meant nothing. It is one night, one window, one format now.
A deletion request was stopping part way through and leaving fragments behind. It now runs to the end, and the copy of your data you can ask for is complete and bounded. Privacy is not a line we write, it is a path we test.
The daily surface is now a single calm instrument. It opens with what the system noticed overnight, stands the one thing worth doing in the light, and asks only what it needs to. On a day that calls for rest, it says so and gets out of the way.
A measurement-first sweep of the parts that felt slow. Signing in no longer storms the server, the morning snapshot is fetched once and shared rather than fetched three times over, and the surfaces that stuttered now settle. Faster because it does less, not because it skips the work.
When a goal has done its work, the system retires it instead of asking you to keep proving something you have already fixed. The moment is marked, and it shows you what opens up next rather than leaving a blank where the habit used to be.
The library roughly doubled. New conditions, supplements, and diagnostics across all four pillars, plus a category and cross-reference layer so each entry links to what it touches. Every one still carries its tier, its sources, and what would change our mind.
Read the entry →Three patterns went up: the prescription stack, the optimiser, the 4am exec. Each one shows its loop, the order it comes apart in, and a graded entry behind every step. They stay marked as composites until a real tester walks one.
Four hubs, one per pillar. Each shows what that pillar does to the other three. No pillar stands alone.
The daily check-in now opens with what the system noticed overnight. One line, the most relevant signal, confirm or dismiss. Proactive without the noise.
Every entry carries its confidence tier, its sources, and what would change our mind. Tiers run Foundational through Experimental.
Read the entry →Added at Foundational. Attentional clearing as substrate work, and the receipt behind the optimiser story.
Read the entry →Every story on the site is a marked composite: mechanism and path, no outcome claims. When a tester walks a pattern with logged data showing the predicted resolution, the composite retires and the real story takes its place. That change shows up here.
Proactive nudges, filtered through your preferences. Every category can be switched off. The system earns the right to interrupt, or it stays quiet.
Twenty-one pattern detectors, each held to one rule: it only fires when the data is there. No calling a trend from three days and a hunch.
The architecture the whole system runs on. 33 vertebrae across five regions, each one a state with its prerequisites, grounded in Reflex Congestion Theory. It decides what comes next.
The first conversation places you on the spine from what you say. Back-to-baseline framing, calculated targets, no generic intake form.
Upload raw data from any major provider. It gets parsed once, then the file is deleted. After that, every recommendation passes through what your genome says about how your body responds, held to the same evidence bar as everything else.
Health Connect integration: real sleep stages, overnight HRV, resting heart rate, step rhythm. The system reads what your body did, not what you remember.
The AI never freelances. Every answer is assembled from graded knowledge-base entries, tier by tier. It interprets the evidence. It does not invent it.
Every logged meal, workout and night passes through one validation gate: range checks, cross-field consistency, duplicate detection. No silent bad data reaches the scores.
Tell the app what you already do and it tracks it, while staying honest about confidence. A self-reported habit stays marked that way until logged data or time confirms it.
The first version of the morning read that connects the pillars. It weighs sleep debt against training load against stress, then surfaces the one thing worth doing, with the reasoning.
The onboarding that reframes the whole thing: back to baseline first, then above it. Goals carry a lifecycle. They adapt when you stall, and graduate when you no longer need them.
One thesis, fixed in the first commit: restoration, not optimisation. Everything since has been building toward it.
Watch the evidence change.
One email when entries publish, tiers move, or a composite story becomes a real one. No marketing, just the changelog, in your inbox.