Wellness & AI is not another health app, and not another LLM “health copilot”. It's a method — a 3-layer stack you assemble from the free, general-purpose AI tools you already have. You bring the data you're already collecting from every wearable, app and lab. The stack helps you finally read it together, in your own voice, on your own terms.
Three jobs, one stack: Research turns vague worry into ranked, cited evidence; Ledger decodes the data you already collect into named patterns; Protocol turns those insights into a two-week experiment built around your real week.
The entry point is a free 10-day challenge, followed by a 12-day course and a living membership that updates as the AI landscape shifts. Built for curious individuals who want continuity over quick fixes, and for integrative practitioners scaling care without losing depth. EU-built, GDPR-first, founded in 2026.
The project moves beyond theory to define a rigorous three-layer infrastructure for private health management. By Formalising the sovereign health stack, we have expanded the foundational curriculum to a 12-day format that integrates research, ledger, and protocol layers.
The transition to private health sovereignty enters a new phase as the core curriculum expands to a 12-day format. In the update "Sovereign Health Personalisation Moves to the Core", we detail how refined scripts for the three-layer stack enhance individual data control. This ensures the architecture remains firmly GDPR-first while utilising general-purpose AI.
The architecture for private health management has formalised as the foundational course extends to a 12-day format. In the update "The Sovereign Health Stack matures", we detail the integration of GDPR-first protocols with general-purpose tools to ensure high-agency medical oversight.
The transition to private health sovereignty enters a new phase as the core curriculum expands. Recent refinements in Personalised scripts for the three-layer stack allow members to deploy tailored prompt sequences across the Research, Ledger, and Protocol layers while maintaining strict GDPR compliance.
The transition to sovereign health matures as the foundational course extends to 12 days, integrating GDPR-first protocols with general-purpose tools. We have now deployed Personalised scripts for the three-layer stack, offering tailored prompt sequences for symptom management and ledgering.
The transition to sovereign health via general-purpose AI matures this week as the foundational course extends to 12 days. Personalisation is now live, deploying tailored prompt scripts and the three-layer stack for more precise symptom management within a GDPR-first framework.
The system matures as the "Course extends to 12 days; 'Picked for you' personalisation goes live.", introducing tailored prompt scripts for symptom management. This three-layer stack remains the blueprint for sovereign health data, ensuring GDPR compliance is a baseline rather than an afterthought.
A three-layer health stack comprising research, ledger, and protocol layers, built entirely on general-purpose AI. This EU-based project offers a ten-day challenge and a living membership, prioritising GDPR compliance and sovereignty over breathless tech-optimism.
A sovereign three-layer health stack built entirely on general-purpose AI tools. The project debuts a ten-day challenge and ongoing membership, prioritising GDPR compliance and EU-centric data integrity over proprietary siloes.
The AI literacy course is now 12 days (up from 10), still EU-built and GDPR-first. A new 'Picked for you' shelf personalises prompt scripts as you read — Symptom Vocabulary Helper, Practitioner Content Planning, a Krea workbook for visualising protocols — alongside the new Personal Complete done-for-you bundle.
A three-layer health stack comprising Research, Ledger, and Protocol, built entirely on general-purpose AI. This EU-based project prioritises GDPR compliance across its ten-day challenge and living membership model.
We are currently mapping the intersection of Stoic discipline and algorithmic feedback loops. Our initial research framework treats ancient ritual not as a relic, but as an underutilised data set for modern human performance. Testing continues on the first prototype.