The GNL Podcast, Q&A

Episode 41, Q&A: CGM Testing Standards, What Grace Is, and AI in Healthcare

John spent two weeks on other people’s podcasts. Diabetech, then Tomorrow’s Medicine. He came back with listener questions that had not been answered on GNL before: what the international CGM testing standards debate means for people with diabetes in the UK, what Grace is at the architecture level, and where AI is going in healthcare work over the next two years. This is the Q&A.

Ask Grace

Curious what the IFCC stress test actually measures, what the bounded model means for how Grace reasons, or what the evidence says about AI and clinical roles?

Listen

Episode 41 cover, CGM Series Review and Grace Update with Anjanee Kohli and John Pemberton, The Glucose Never Lies Podcast

Available on Buzzsprout, Apple Podcasts, and Spotify. Host: Anjanee Kohli. Guest: John Pemberton.

Why this episode exists

Listener questions came in after John’s two external podcast appearances in May 2026. On Diabetech, Gary Shiner’s show hosted by Justin, the conversation had been about CGM international testing standards: the IFCC stress test protocol that exists and works, the committee about to decide whether to require it, and the gap between what CE marking guarantees and what sensors are actually used for in insulin dosing. On Tomorrow’s Medicine with Arseniy Arsentyev, the conversation had been about Grace: the bounded model, the via negativa approach, and the near-bankruptcy moment that almost ended the project before it launched.

Both appearances left threads open. This episode closes them, in Q&A format: Anj puts the questions, John answers. No external guest. Forty minutes.

In this episode

There is no external guest. Anjanee Kohli hosts and John Pemberton answers listener questions across three topics: the CGM international testing standard debate (the IFCC stress test, what CE marking does and does not guarantee, and what listeners can actually do), what Grace is at the design level (bounded model, via negativa, no memory by design, and why), and AI and the future of healthcare work (which roles will adapt and which will not).

The episode was prompted by questions that came in after John’s appearances on Diabetech and Tomorrow’s Medicine. Both appearances are linked in the key themes section below.

Episode chapters
  • 00:00, Introduction: a first-ever Q&A from listener questions
  • 01:30, CGM testing standards: why the international debate matters and what you can do
  • 15:13, What Grace actually is: architecture, philosophy, and no memory by design
  • 25:49, The near-bankruptcy moment and the pay-it-forward model
  • 31:28, AI and the future: which roles will adapt and which will not
  • 39:13, Close

Watch or listen

Key themes

CGM international testing standards: the IFCC debate

The international committee that designs the standard for CGM accuracy is about to make a decision affecting everyone who uses an insulin-dosing sensor outside the United States. The IFCC has developed a stress test protocol for CGMs: a measurement of sensor performance during rapid glucose changes, with real insulin doses in the circuit. It tests the conditions that actually matter when a sensor is used to make dosing decisions. It exists. It has been validated. The committee is now considering whether to make it mandatory or optional.

The car crash analogy is the one that lands. Two cars, both approved, both passed the 30mph crash test. One also passed at 70mph. If your children were in that car, you know which one you would choose. The question is whether the people designing the standard think about it that way before the vote. The arguments for optional are that it is expensive and inconvenient for testing centres and requires manufacturers to run longer studies. The argument for mandatory is that sensors are being used to dose insulin during exactly the conditions the stress test was designed to measure.

John covered this on Diabetech, Gary Shiner’s show hosted by Justin, ahead of this episode. Watch that conversation: Diabetech episode on YouTube.

What Grace is: bounded model, via negativa, no memory

Grace is not a general-knowledge AI applied to diabetes. It is a bounded model: a defined evidence base, a defined scope, and a defined reasoning approach. The via negativa principle shapes how it reasons, working through what can be confidently excluded before stating what might apply. That is a different architecture from a tool that retrieves the most probable answer; it is one that removes the least defensible answers first.

The no-memory design is the one that still surprises people. Grace does not retain anything between conversations. That is not a product limitation: a tool with memory is one step closer to personalised recommendation, and the line between population-average educational guidance and personalised clinical advice is where Grace is designed to stay. Grace gets 80 per cent of the way there; the final 20 per cent requires the person with T1D and their diabetes care team.

John explained the Grace architecture on Tomorrow’s Medicine with Arseniy Arsentyev ahead of this episode. Watch that conversation: Tomorrow’s Medicine episode on YouTube.

Grace in 2026: prices locked

Grace is free to try for everyone with type 1 diabetes, then GBP 5 a month or GBP 50 a year, with sponsored free accounts for the people who cannot pay. The model that keeps the platform open has three inbound routes: a personal subscription at GBP 5 a month or GBP 50 a year after the free trial; a Grace HCP licence at GBP 20 a month or GBP 200 a year per licence for clinicians, ICBs, and manufacturer teams; and sponsorship at GBP 5 per free account via Buy Me a Coffee, up to GBP 50 for ten, for anyone who wants to open a free account for someone with T1D who cannot pay. The free seat is structural, not aspirational.

AI and the future of work in healthcare

The third listener question was about AI and jobs. The framework John uses references Harari’s Nexus: the roles that will change soonest are the SOP-driven ones, where following a defined protocol is the primary task. Data processing, documentation, protocol-following. The roles that cannot be automated are the ones that require reading what is unsaid in a room: communication, clinical judgement from context, and the ability to be genuinely present with another person.

For healthcare professionals, the question is not whether change is coming. It is whether you will be in the 20 per cent who build and direct these systems, or the 80 per cent who adapts. The investment should go toward the skills that AI cannot reach.

No memory, by design. Grace does not remember previous conversations. That is not a limitation to be solved later. A tool that remembers your patterns and adjusts its answers accordingly is one step from giving advice that is personalised rather than educational. The absence of memory is part of how that line is held.

The CGM Series: context for the testing standards debate

The IFCC stress test debate connects to the GNL CGM Series. Episodes 35 and 36 built the accuracy-evaluation framework. Episodes 37, 39, and 40 applied it to three devices. The argument running through the series is that a consistent accuracy standard matters regardless of brand. The IFCC committee debate is the same argument at the international policy level: who decides what counts as a good enough test, and why it matters for the people using these sensors to dose insulin.

The GNL CGM Series 2026, episodes 35 to 40 Six episodes from March to May 2026. Episodes 35 and 36 built the accuracy-evaluation standard. Episode 37 reviewed the Dexcom G7 and ONE+. Episode 38 was the Q1 2026 Quarterly Review. Episodes 39 and 40 reviewed the Abbott FreeStyle Libre and the Accu-Chek SmartGuide. 35 CGM Study Design Why study design comes before performance. Prof Othmar Moser, ATTD. Mar 23, 2026 36 CGM Accuracy DSN reality checks. The DTN quality standard. Five questions, every sensor. Mar 29, 2026 37 Dexcom G7 and ONE+ The CGM behind the AID revolution. Adam Dawes, Dexcom UK. Apr 13, 2026 38 Q1 2026 Review Quarterly catch-up. Site rebuild, Grace launch, six explorers. Apr 20, 2026 39 Abbott FreeStyle Libre 2 Plus and 3 Plus. Michael Skarlatos, Abbott. LibreView, ketones, size. Apr 27, 2026 40 Accu-Chek SmartGuide MDI’s second generation. Amy Jolley, DTN UK. 17 adopters in one week. May 11, 2026 41 Q&A: CGM Testing Standards, Grace Architecture, and AI in Healthcare Listener Q&A. IFCC debate, bounded model, via negativa, no memory, AI and future of work. Episodes 35 and 36 built the accuracy standard. Episodes 37, 39, and 40 applied it to three sensors. Episode 38 was the quarterly review.
Six CGM Series episodes from March to May 2026. The accuracy standard (episodes 35 and 36) is the thread that connects every device episode that follows it.
Episode 39, Abbott FreeStyle Libre 2 Plus and 3 Plus

Michael Skarlatos from Abbott. The 70 per cent size reduction and what it means for daily wear and stigma. The LibreView data nuance: a treated hypo does not appear in the low-glucose event log if glucose recovers before the 15-minute continuous threshold. The all-in-one applicator. Continuous ketone monitoring in development: simultaneous glucose and ketone measurement on the same sensor, alert-based rather than a continuous trace. Listen to episode 39.

Episode 40, Accu-Chek SmartGuide with Amy Jolley, DTN UK

17 people on the SmartGuide in one week, group onboarding, asked to report back. Night Low Predict: RAG system, purposeful rather than panicked responses, first-half versus second-half-of-night distinction. Glucose Predict’s 45-minute look-ahead versus the 15-minute trend arrow. The rage bolus named honestly. The DTN quality framework: five questions any CGM should answer, including 90 per cent in the 20/20 band and less than one per cent outside the 40/40 band. Listen to episode 40.

Grace in 2026: the three tiers

The Q1 quarterly review (episode 38) introduced Grace. Since then the model has been refined and the prices are locked. Three inbound routes fund the platform; sponsorship at Buy Me a Coffee opens free accounts for the people who cannot pay.

GNL Grace pricing model Three inbound routes fund the platform. Personal subscription at 5 pounds per month or 50 pounds per year after the free trial. Grace HCP at 20 pounds per month or 200 pounds per year per licence. Sponsorship at 5 pounds per free account via Buy Me a Coffee, up to 50 pounds for ten. Sponsorship opens free Grace accounts for people with T1D who cannot pay. Personal £5/mo or £50 a year Anyone with T1D, after the free trial. 60-day trial first Grace HCP £20/mo or £200 a year, per licence Clinicians, ICBs, manufacturer teams. full access included Sponsorship £5 = 1 free account, up to £50 for ten Anyone. Via Buy Me a Coffee. Family, charity, clinic, you. opens a free seat Every £5 of sponsorship opens one free account, up to £50 for ten. Grace: free to try for anyone with T1D All 6 explorers. 6 modes. No upsell. Free seats for those who cannot pay. Single inbox for every licence or sponsorship enquiry: john@theglucoseneverlies.com. Volume negotiated in conversation.
Three inbound routes fund the platform. Sponsorship opens free Grace accounts for people with T1D who cannot pay; the prices are what keep the platform open.
What the free trial includes

Grace is free to try for everyone with type 1 diabetes: 60 days if you live with T1D, 30 days for healthcare professionals. The account includes all six explorers, six modes, up to 2,000 tokens per response, one PDF per session, and 30 days of conversation history. No upsell, no countdown during the trial. After the trial it is GBP 5 a month or GBP 50 a year, and sponsored free accounts are available for the people who cannot pay.

What Grace HCP includes

Grace HCP is for clinicians, ICBs, named clinical teams, manufacturer-sponsored teams, and individual clinicians who want to recommend Grace in clinic with confidence in what it does. £20 per month or £200 a year per licence, with a 30-day free trial first. Full access is included; complete all thirty Learn with Grace modules and the deepest reach opens at the same price. Enquiries to john@theglucoseneverlies.com.

What personal access includes

Personal access is for anyone living with T1D after the free trial: £5 per month or £50 a year. All six explorers, six modes, the full evidence base. Complete all thirty Learn with Grace modules and full access, the strongest model and the deepest modes, opens at the same personal price, no separate upgrade. Enquiries to john@theglucoseneverlies.com.

Sponsoring a free account

Anyone can sponsor a free Grace account for someone with T1D who cannot pay. £5 per free account via Buy Me a Coffee, up to £50 for ten. Family members, charities, clinicians, manufacturers, and foundations all use it. Recipients are drawn from the free waiting list; there is no visibility of who receives a given account.

Practical exploration

For people living with type 1 diabetes and their families

Three things from this episode worth acting on.

  • The IFCC stress test debate matters for people using insulin-dosing CGMs. If you want to influence the outcome, Diabetes UK and Breakthrough T1D are the organisations to contact. Their members are the people this decision affects most.
  • Grace is free if you are living with T1D. The app is at app.theglucoseneverlies.com. Grace does not remember previous conversations; every session starts fresh, and that is deliberate.
  • If someone you know with T1D would benefit from Grace and cannot pay, you can sponsor a free account for them for £5 a month at Buy Me a Coffee, up to £50 for ten.

For clinicians and educators

Two things worth taking from this episode.

  • The IFCC stress test debate is a patient-safety question in clinical language. If you work with people who use CGMs for insulin dosing, the gap between what the current CE standard tests and what sensors are used for in practice is worth knowing. Diabetes UK and Breakthrough T1D are the route if you want to influence the outcome.
  • The Grace HCP licence is £20 per month or £200 a year per licence, with a 30-day free trial first and full access included. Enquiries to john@theglucoseneverlies.com.

About this episode

Anjanee Kohli is GNL’s Co-Director and Creative Lead, and a Specialist Diabetes Dietitian. John Pemberton is a paediatric Diabetes Dietitian at Birmingham Women’s and Children’s NHS Foundation Trust, GNL’s founder and director, and lives with T1D himself. This is a host-guest format with no external speaker: Anj hosts, John answers.

Related reading on GNL

Episode 41 of the GNL Podcast

CGM Series Review and Grace Update

This content is for educational exploration only. It describes average responses and general principles. It is not medical advice and cannot replace individual clinical guidance from your diabetes care team.

Ask Grace