The Glucose Never Lies®

GNL Grace
A diabetes educational advisor

Built by a team with skin in the game. Grace gets you 80% of the way there with 20% of the effort; the final 20% takes self-discovery, guided by human expertise and trial-and-error learning.

~850
Papers fully ingested across 13 clinical domains, every claim graded A to D
96
Evidence-graded concept pages, each anchored to a topic-level map
~500k
Patient-days of real-world data from approximately 1,300 people, run through 77 safety tests

For the curious, and the rightly cautious

How Grace was built, and how she is governed

Six questions. The ones a serious reviewer should ask of any AI tool in type 1 diabetes care. Here they are, answered in plain prose. The small thing Grace is. What she is not. How she was built. How she is governed.

What Grace is

An educational advisor for type 1 diabetes, resting on a locked, version-controlled evidence base curated over more than a decade. She sits alongside your diabetes care team. She is free at the point of use for people with type 1 diabetes, their carers, and the people who support them. She is available outside clinic hours because diabetes does not keep them.

What Grace is not

Not a medical device. Not a clinical decision-support system. Not a replacement for your care team. Not personalised; every figure she gives is a population-average estimate at your total daily dose, and your own correction factor stays with the care team who set it. Not a substitute for the human relationships at the centre of care.

Grace runs against a locked evidence base built and curated over more than a decade. Every paper she draws from sits in our Mendeley reference library, exported as a BibTeX file, used as the source of truth. She does not cite from model memory.

Her clinical policies, the cohort framing, the age-band routing, the correction-dose framing, the AID Optimiser positioning, are written down, version-controlled, and published in our open wiki for anyone to read. The retrieval layer pulls from 880 pages of curated content across 7,349 typed chunks, routed by document metadata so the right policy reaches the right question. Phillip Hayes, our Technical Director, built that layer in May 2026.

She is not validated in the regulatory sense of a medical device, because she is not a medical device. She is validated as an educational advisor, against the evidence base she rests on.

I am a paediatric Diabetes Dietitian at Birmingham Women’s and Children’s NHS Foundation Trust, supporting over 300 children and young people with type 1 diabetes and their families. I am also a person living with type 1 diabetes, a husband, and a parent. Grace’s framing, what she covers and how she covers it, is shaped by the questions families ask in clinic, on weekends, and at three in the morning. It is also shaped by the questions I have asked myself.

That is one form of patient and public involvement. We have not yet run a formal service-user advisory panel, and we are open about that. The early review group on the patient and coach side includes Vanessa Haydock and Beth Kelly. On the clinical side, Carmel Smart, Peter Adolfsson, Othmar Moser and others are reviewing against their specialisms. Public feedback channels open on 1 June 2026.

Grace has been live to a closed group since late April 2026. As of early May, over 850 people are registered. The Birmingham Children’s Hospital paediatric diabetes operations team have first refusal ahead of public launch, so the team who taught me how to listen to families get to use her before anyone else does.

Named clinicians across the UK, Europe, Australia and the US hold Grace Max seats and are testing her against their specialisms, from AID and exercise physiology to paediatric dietetics, alcohol and type 1 diabetes, and psychosocial outcomes. The full picture, who is reviewing what and when, is documented openly in our project repository.

Via Negativa. Clarity by subtraction, not coverage by addition. Grace is built by removing what does not serve the central argument, not by adding more reasons until the argument feels safer.

She is an educational advisor. She is not a clinical decision-support system. She gives population-average estimates at a person’s total daily dose. She does not give a personalised correction dose. She refers every clinical decision to the person’s care team. She uses banned-list language to avoid prescriptive framing.

The theoretical frame for what she is for sits in the work of the diabetes psychology and structured-education communities: that the conversations between people with type 1 diabetes and their clinicians become softer ones about them as a person, not just the numbers. Grace is one tool to help make that happen. She is not the whole of the answer.

Grace only deals with Grades A to D evidence. Grade E content, lived experience, podcast material, FAQ answers, exists in our wiki but is never cited as proof. The wiki backbone is research-grade and feeds her retrieval. The site delivery layer, the voice the reader sees, is evidence-anchored in spirit, not citation-stacked in form. One fully-anchored citation per section is plenty; she carries the depth on demand if you ask for it.

The cohort she rests on is approximately 500,000 patient-days from approximately 1,300 people living with diabetes, run through 77 safety tests across the evidence base. That is the figure used everywhere we describe her, from manuscript to marketing, with no inflation between contexts.

Grace gets a person 80% of the way there with 20% of the effort. The remaining 20% takes self-discovery, guided by human expertise and trial-and-error learning. That is the strapline, and it is the mechanism we make claims about.

We are not claiming a percentage-point HbA1c change. We are not claiming a percentage-point time-in-range change. The evidence for outcomes like that takes years and dedicated trials, and we are open about not having that yet.

What we are claiming, and where we want the evidence to land over the next year, is that conversations about diabetes become softer ones about the person, not the numbers. That families feel less overwhelmed between appointments. That clinicians have more of their limited time available for the human dimension of care. Those are aspirational claims until the data lands. We say so directly.

Grace gets you 80% of the way there with 20% of the effort. The remaining 20% takes self-discovery, guided by human expertise and trial-and-error learning.

Want to hear John walk through the seven-year build in his own voice? Listen to the Tomorrow’s Medicine conversation →

Coming June 2026

Grace is launching in June

Over 200 people fed back through the build, and Grace is ready. She is launching free for everyone with type 1 diabetes in early June 2026. To be the first to know when registration opens, register your interest below.

Same Grace, same access

Which best describes you? Tap to see what Grace does

For people with diabetes and the people who support them

Grace is trained on approximately 500,000 patient-days from approximately 1,300 people, run through 77 safety tests, plus every major type 1 trial. She gives clear, evidence-graded answers on devices, insulin, exercise, food, mental load, and everyday life. She never tells you what to do with your insulin; she helps you understand what is happening and what to take back to your care team. The same answers are useful for parents, partners, family members, school staff, and anyone helping someone live well with diabetes.

All eight Explorers are open to you. The AID Algorithm Optimiser walks through how settings on a hybrid closed-loop pump might be adjusted, based on a population-average framework. It is not a medical device, it does not output a personal dose, and any settings changes should be discussed with your diabetes care team.

Grace and the Explorers are educational. Every numeric output is a population-average estimate, never a personalised dose or setting. Not a medical device.

For people working in diabetes care, research or industry

Grace is built for the 10-minute clinic question and the 10-minute literature check: what does the evidence say about this device, this regimen, this exercise plan, this edge case? Every answer is evidence-graded, cites its sources, and signposts the gaps. She is an education and research tool, not a decision-support device. The same evidence base is useful to clinicians, diabetes specialist nurses, dietitians, psychologists, researchers, and device or pharma teams scoping their next piece of work.

All eight Explorers are open to you, including the AID Algorithm Optimiser. The Optimiser is an educational tool that walks through how settings on a hybrid closed-loop pump might be adjusted, based on a population-average framework reviewed by CamAPS, MiniMed, Tandem and Insulet medical leads. It is not endorsed by any of them, it is not a medical device, and it does not output a personal dose.

Grace and the Explorers are educational. Outputs are population-average estimates. Clinical decisions sit with the care team. Not a medical device.

Questions about consultancy or partnerships? Start an assessment

Educational tools

The eight Explorers

Eight deterministic educational tools, each grounded in the same evidence base as Grace: approximately 875 graded papers, 97 concept pages, and approximately 500,000 patient-days from approximately 1,300 people, run through 77 safety tests. None of them outputs a personalised dose. Every result is a starting point for a conversation with your diabetes care team, not the end of one.

The eight Explorers in the GNL Educational Explorer Suite A two-by-four grid of eight Explorer cards, each card colour-coded by category. Activity cards in blue (Walking to lower a high; Carbs for thirty minutes of exercise; Planning before, during, and after exercise). AID Algorithm Optimiser in purple. Hypo Treatment Explorer in red. Hyper Treatment Explorer in amber. Alcohol and T1D Explorer in teal. Mealtime carb-counting builder in orange. A footer band states every output is a population-average estimate, not a personalised dose, and every result is a starting point for a conversation with the diabetes care team. EIGHT EDUCATIONAL EXPLORERS colour-coded by category; each one a separate population-average tool Walking to lower a high Estimated glucose drop when you walk for 10, 20, or 30 minutes while insulin is still active. ACTIVITY Carbs for thirty minutes of exercise How much carbohydrate you may need, based on insulin on board, body weight, and exercise type. ACTIVITY Planning before, during, and after exercise A full session plan: insulin adjustment, carb strategy, recovery carbs, and overnight cover. ACTIVITY AID Algorithm Optimiser Compare CamAPS, Control-IQ, SmartAdjust on Omnipod 5, and SmartGuard on MiniMed 780G side by side. AID Hypo Treatment Explorer Fast-acting carbohydrate estimate for a low, from body weight, glucose, and CGM trend. HYPO Hyper Treatment Explorer Four ISPAD-aligned ketone pathways, from standard correction through to DKA escalation. HYPER Alcohol and T1D Explorer Your glucose risk window across the drinking period and the overnight hours that follow. ALCOHOL Mealtime Carb-Counting Builder Build a meal; see grams of carbohydrate, fat, and protein, with patterns to watch. Never an insulin number. MEALTIME POPULATION-AVERAGE ESTIMATES, NOT PERSONALISED DOSES Every result starts a conversation with your diabetes care team, never ends one

Open the Explorer Suite in the GNL app →

How Grace works A top-down flow diagram. A green input band at the top feeds a three-column evidence layer (papers, concept pages, cohort data). A blue arrow leads to the Grace clinical synthesiser panel. A blue arrow leads to a two-column output row (educational reply and care-team referral). A green safety band closes the bottom. A dashed return arc loops from the output back to the evidence layer. How Grace works question in, graded evidence out, care-team referral always QUESTION IN, any Grace tier, any time LOCKED, GRADED EVIDENCE BASE ~875 papers 13 clinical domains, all graded A-D 97 concept pages each anchored to a topic-level evidence map ~500k patient-days ~1,300 people, run through 77 safety tests RAG retrieval GRACE clinical synthesiser, Grades A-D only Via Negativa: remove what does not serve the reader evidence-anchored reply Educational answer population-average estimates evidence grade surfaced, gaps named Care-team referral every clinical question closes here without exception weekly curation loop NOT a medical device. Population-average only. Not personalised. Not a replacement for your care team. Population-average outputs only. Care-team referral closes every clinical question.

Under the hood

How the Grace conversation works

Every Grace conversation is encrypted in transit, never used to train the underlying model, and linked to a pseudonymous session only. No personal identifier travels with any query.

Secure texting, how the Grace conversation works A left-to-right conversation flow. The user panel on the left shows message bubbles entering Grace. The centre column shows the Grace endpoint with three security properties: TLS encryption, no training on queries, no personal identifier stored. The right panel shows the Grace reply. Secure texting, how the Grace conversation works encrypted in transit, no training on queries, no personal identifier stored THE USER question enters here What does IOB mean for exercise? Which AID setting suits a teenager? no personal identifier sent with any query TLS 1.3 GRACE ENDPOINT api.theglucoseneverlies.com Encrypted in transit TLS 1.3, end to end No training on queries conversations never used to fine-tune No personal identifier stored pseudonymous session only Retrieval from locked evidence base. No real-time internet access. No hallucination from model memory. GRACE REPLY evidence-anchored, grade-marked Grade cited on every claim Population-average only Care-team referral at close Grade A-to-D evidence cited Care-team referral closes every reply Full technical and compliance documentation available on request: john@theglucoseneverlies.com

Built with caution

Is Grace safe to use?

Grace is an educational advisor. She does not give personalised insulin doses. She does not tell you what to do with your glucose. Every numeric output is a population-average estimate at a given total daily dose; the figure that fits your day belongs to the care team who knows you.

Four hard-coded safety rails govern every Grace reply, on every tier, at every time of day.

1

No prescriptive dose language

No prescriptive dose language. Grace never says “take X units”, “your correction dose is”, or “adjust by”. She gives population-average figures at the user’s total daily dose and points back to the diabetes care team who knows the user’s personal correction factor.

2

Care-team referral on every clinical question

Care-team referral on every clinical question. Every answer that touches an insulin decision, a device setting, or a clinical strategy ends with a referral back to the user’s diabetes care team. Without exception.

3

Age-banded reasoning, not raw year

Age-banded reasoning, not raw year. Clinical decisions route through six bands: infant under 2, preschool 2 to 6, paediatric 7 to 14, adolescent 15 to 17, adult 18 to 64, older adult 65 and above. Grace reasons in the band, not the birthday.

4

Grade-marked evidence, A to D only

Grade-marked evidence, A to D only. Every clinical claim is graded A (systematic reviews, meta-analyses, large multi-centre RCTs, anchor guidelines) to D (expert opinion, GNL clinical synthesis). Grace signals the grade so the reader can weigh the evidence.

The four rails, safety floor for every Grace conversation A diagram showing four numbered safety rails stacked vertically on the left. A narrow navy column on the right lists insurance, MHRA classification, and IP status. A green band at the bottom invites compliance reviewers to request documentation. The four rails safety floor for every Grace conversation, every tier, every time of day 1. No prescriptive dose language Never “take X units” / “your correction dose is” / “adjust by”. Population-average only. 2. Care-team referral on every clinical question Every insulin / device / clinical strategy question closes with a care-team referral. No exceptions. 3. Age-banded reasoning Routes through six bands: infant / preschool / paediatric / adolescent / adult / older adult. Not raw years. 4. Grade-marked evidence, Grades A to D only Every clinical claim is graded A (systematic reviews, meta-analyses, large multi-centre RCTs, anchor guidelines) to D (expert opinion, GNL clinical synthesis). Grace signals the grade so the reader can weigh the evidence. COMPLIANCE FLOOR Insurance PI and media liability held; PL binding mid-June 2026 CFC eHealth v4.0 schedule MHRA classification Educational tool, not a medical device or CDSS Intellectual property GNL Grace® trademarked evidence base version-controlled open wiki, auditable Scientific governance Prof Othmar Moser (Graz) Dr Dessi Zaharieva (Stanford) Non-Executive Scientific Advisers Compliance docs available to clinical and regulatory reviewers. Email john@theglucoseneverlies.com The AID Optimiser sub-tool was reviewed by CamAPS, MiniMed, Tandem and Insulet medical leads; not endorsed by any of them. Grade D synthesis on a Grade A and B evidence base.

Grace is not a medical device. She is not registered with the MHRA as a clinical decision-support system. She is an educational advisor with a declared evidence base, a declared methodology, and declared limitations. The IP, compliance documentation, and full safety audit are available to clinical and regulatory reviewers on request: john@theglucoseneverlies.com.

Support Grace

Keep GNL Grace Free for T1D

Grace is free, forever, for anyone living with type 1 diabetes. Funded by clinical and partner licences, matched pound for pound by GNL on every donation. Skin in the game from people with T1D, manufacturers, charities, clinicians, researchers, and from us, all the way along.

Three ways to keep Grace free, all matched by GNL.

1. Plus-one sponsor (anyone)

£5 a month per slot. We match it pound for pound.

  • £5 covers your own GNL Grace.
  • £10 yours plus one for the T1D community.
  • £15 yours plus two.
  • £20 yours plus three.
  • £55 yours plus ten.

A person with T1D, a family member, a friend, a charity, a manufacturer, a foundation, a school, a clinic. Anyone can do it.

Pick a monthly tier Or one-off

2. Grace HCP licences

TBC. The complete clinic, learning, teaching and reference tool.

For Trusts, ICBs, named clinical teams, manufacturer-sponsored teams, individual clinicians. Six modes for everyday clinical use, generous monthly limits, all eight Explorers, full clinical context.

Every HCP licence funds two free Grace accounts for people with T1D (one from the licence, one matched by GNL).

Sponsor HCP licences

3. Grace Max licences

TBC. Spider-Man powers for research, deep work, manuscripts.

For research groups, manuscript leads, audit teams, manufacturer R&D, evidence-base contractors. All twenty modes, file uploads, extended thinking, deep evidence work, comparing systems, quality-assuring content.

Every Max licence funds two free Grace accounts for people with T1D (one from the licence, one matched by GNL).

Sponsor Max licences

Sponsors mix any combination of plus-ones, HCP licences, and Grace Max licences. A trust might buy 40 HCP, 4 Max, and 100 plus-ones in a single arrangement. A manufacturer might fund 50 plus-ones for a patient community. A charity might do all three. Contact john@theglucoseneverlies.com to discuss the number of licences you want.

Get in touch

Contact John directly

For research enquiries, partnership conversations, questions about Grace Max, or anything the page does not answer: email john@theglucoseneverlies.com.

Via Negativa Health handles consultancy enquiries, manufacturer engagements, and clinical-team partnerships. Details at vianegativahealth.com.

GNL platform

The full GNL ecosystem

Grace and the eight Explorers sit inside a complete T1D education platform: validated tools in the app, a clinical podcast, foundational education pages, and a growing body of content built from real-world evidence.

Get in touch

Licensing enquiries, research collaboration, institutional partnership

All go directly to John Pemberton. GNL Grace launches free for everyone with type 1 diabetes in June 2026. Wider partner and institutional access from Summer 2026.

Start an assessment

Or visit theglucoseneverlies.com

Educational use only. GNL Grace and the eight Explorers are educational tools built from clinical evidence, real-world population data, and published guidelines. They model how populations behave on average, not how any individual will experience T1D. They are not medical devices. They are not diagnostic tools. They do not give clinical advice. Any questions about your individual diabetes management should be directed to your diabetes care team.
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