A recent update to the Libre 3 app in the US now enables users to snap their meal to learn how their glucose will change. At the same time the app has made it possible to see levels on a smartwatch.

Users of the Libre 3 app in the US now have access to Libre Assist which uses generative AI to help PWD understand how foods may affect their glucose levels before they eat - a point which Abbott are promoting to encourage use of the app.
Built directly into the updated version of the app, the new feature allows users to:
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Snap a photo of their meal or enter a text description of foods;
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AI then predicts the meal’s potential glucose impact, displaying a colour-coded rating system
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green for minor impact
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yellow for moderate
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orange for significant
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Receive personalised guidance on how to reduce glucose spikes — from swapping ingredients to adjusting portions; and
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See personalised glucose feedback after eating, as Libre Assist connects to a FreeStyle Libre 3 Plus sensor.
Integration
After a meal, users can review actual glucose responses captured by their sensor and learn how their body reacted in comparison with the pre-meal prediction. This feedback loop reinforces personalised insight over time, and according to Abbott, will help build confidence around food choices.
Cost
Libre Assist forms part of the updated Libre 3 app so there is no additional cost to use it. There are no separate subscriptions, additional purchases, or prescriptions required either.
User reviews
Early online comments have mainly been positive, however some users point out that it is something for "fun"; that they'll tire of the novelty; that they still need to carb count and it's not something they want to keep up as the information can be got elsewhere, for example using MyFitnessPal.
Libre Assist vs MyFitnessPal
Out of interest, we've compared Libre Assist with the most popular app, MyFitnessPal below.
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Libre Assist |
MyFitnessPal |
|
|
Purpose |
Predictive glucose guidance before meals using generative AI integrated into Libre app with CGM data support |
General nutrition logging (calories, carbs, macros, diet goals) |
|
Workflow |
Photo/text meal input → AI predicts potential glucose impact and suggests adjustments |
Manual entry - search, use barcodes, recipes |
|
Pre-meal guidance |
Designed for glucose impact prediction |
Use for planning a meal |
|
Output |
Glucose impact coded as green for minor impact, yellow for and orangewith tips |
Provides calories, carbs, macros |
|
CGM integration |
Integrates with FreeStyle Libre 3 sensors |
None |
|
Personalisation Note: this is not the same as individual guidance or recommendations |
Uses CGM feedback to refine understanding over time |
Based on user logs/goals |
|
Cost |
Free in Libre app |
Free + Premium at cost |
|
Best for |
Rapid glucose-impact decisions and learning from real glucose responses |
Macro & carb tracking, long-term diet goals |
Limitations of Libre Assist
While Libre Assist offers proactive glucose information, there are limitations to its use in terms of measurement and its use for decision-making i.e. how much insulin to inject, which is usually calculated by a PWD on the basis of carb counting.
Below we consider some of these limitations:
1. AI predictions are not perfect
Libre Assist uses generative AI to estimate glucose impact from a meal photo or description, but:
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Generative AI may not always identify ingredients or portions accurately.
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Predicted glucose impact scores can differ from actual post-meal glucose responses.
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The feature explicitly states it should not be used to make insulin dosing or medical treatment decisions.
2. Carbohydrates are only part of the story
Glucose levels are influenced by far more than just carb quantity. It's thought there are up to 42 factors affecting glucose levels, such as:
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Meal composition (fat, protein, fibre, glycaemic index/load)
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Timing of meals and portion sizes
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Physical activity / exercise
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Stress and hormonal fluctuations
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Medications
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Hydration
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Individual metabolic traits, microbiome variation, and body state
This complexity means that even with advanced AI, any prediction inherently simplifies a very complicated physiology.
3. Individual variability is huge
As many PWD know, two people eating the same meal can have very different glucose responses and even eating the same meal can be different on different days or times.
4. Doesn’t replace clinical guidance
Libre Assist is a helpful decision support tool for meal planning, but it:
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Is not a medical device for treatment decisions (e.g., insulin dosing).
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Should supplement, not replace, professional advice from healthcare teams.
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Works best alongside real CGM trends and individual insights, not instead of them.
Libre Assist's competitors
Historically, diabetes tools have focused on carbohydrate counting, but research has shown this to be an oversimplification. Carbohydrates do matter, but they are only one of many variables, with possibly 42+ factors impacting blood glucose levels. On top of this individual glycaemic responses to the same meal can vary widely, underscoring the limits of carb counting alone.
Abbott's 'selling point' for Libre Assist is that it is predicting glucose levels before food is eaten. However, glucose monitoring apps are not new in terms of carb counting and these also use AI as well as more functionality for diabetes management including some that connect to CGM. Alternatives include. These include Snaq, Mysugr, Glucose Buddy, Diabetes:M and Carbs & Cals.
Smartwatch integration
Abbott recently updated the Libre 3 app (for use in the USA) to enable PWD using an Apple smartwatch series 4 and later to see their glucose levels directly on their watch, although the phone must still be within reach.
Images courtesy of Abbott Diabetes Care.
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What CGM is not associated or affiliated with Abbott or FreeStyle Libre. Content here and on our websitewww.whatcgm.com does not constitute medical advice or replace the relationship between you and healthcare professionals nor the advice you receive from them.
The author of this blog has type 1 diabetes and uses a CGM on NHS prescription.




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