> At a Glance
> – Abbott’s Libre Assist, unveiled at CES 2026, predicts how meals affect glucose before you eat.
> – Snap or describe food; the app flags impact as green, yellow, or orange.
> – Post-meal CGM data refines advice, accounting for stress, activity, and meds.
> Why it matters: It removes guesswork for people with diabetes who must balance diet and blood sugar.
Abbott has embedded a generative-AI nutrition coach inside its FreeStyle Libre ecosystem. The add-on, free within the Libre app, forecasts glucose swings from any plate and then checks its own math against real sensor readings.
How Libre Assist Works
Open the Insights tab, take a photo or type “poke bowl.” The algorithm identifies ingredients, runs them against your saved food preferences, and returns a color-coded forecast: green for minor, yellow for moderate, orange for major expected impact.
After you eat, the CGM stream uploads actual glucose traces. If stress, a workout, or an extra drink threw the prediction off, the app logs the discrepancy and tunes future advice.
Personalized Coaching in Action
Suggestions pop up instantly:
- Swap flavored Greek yogurt for plain to cut a predicted spike.
- Add a walk after pasta to blunt the curve.
- Split a large rice portion across two meals.
All tips respect dietary settings you pre-load-vegan, low-sodium, gluten-free, etc.-so recommendations stay practical.
Availability and Safety Notes
Libre Assist is live today at no added cost for users of Abbott’s FreeStyle Libre CGM line. Because generative AI can misread meals, the company stresses it complements, not replaces, medical guidance.
Key Takeaways
- CES 2026 debut puts predictive meal coaching inside Abbott’s Libre app.
- Color ratings and ingredient-level tips aim to flatten dangerous post-meal spikes.
- Real CGM feedback loops continuously refine the AI’s advice.
For millions already wearing a FreeStyle Libre sensor, the update turns everyday food photos into actionable glucose insight-before the first bite.
