Anbe AI Anbe AI

Welcome back to Anbe AI Diabetes Care

AI diabetes doctor portrait

Dr Sara AI

Your AI clinician partner for glucose, nutrition habits, and day-to-day follow-through

You're enrolled in our diabetes-focused program aimed at tighter glucose patterns and clearer next steps across the next months. Continue in the Diabetes Analyst to review timelines, spikes, summaries, and questions with your AI Doctor—or pick up Diet and Exercise Planner from the Agents bar anytime.

Your Diabetes Analyst experience is offered at no additional fee through this program tier: no per-message copayment, no insurance billing for the AI clinician surface, no monthly membership tied to chat, and no card required at sign-in here.

Continue to Diabetes Analyst

Shape how your AI Doctor shows up

Design your AI doctor experience

You can tune how conversations feel—text-first, richer guidance, reminders that match your schedule, and tones that suit you. Preferences carry across check-ins so the AI recognizes your rhythms and sticks with outcome-focused pacing while you're managing pre-diabetes or Type 2.

Your clinician sets measurable program targets

Doctor setting measurable diabetes goals

Your physician—or the supervising clinician coordinated on the platform—anchors the program in labs, medication changes, symptom history, and current risks. Targets for HbA1c, weight change, LDL, blood pressure, sleep, and other markers are clarified for each three-month sprint so Analyst insights line up with the plan they expect you to pursue.

Devices you connect sharpen what the AI sees daily

Connected wearables and diabetes data flow

When you onboard supported wearables—or bring yours—glucose excursions, overnight trends, medications, nutrition logging, sleep, activity, and heart signals stream into the Analyst view. Fewer gaps mean meal patterns and escalation risks surface earlier.

100 140 180 220 0:00 2:00 4:00 6:00 8:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 Hour of day Glucose (mg/dL) Meals

Once streaming data is flowing, you get sharper same-day overlays between glucose swings and logged meals—not just static ranges.

Meal 1: breakfast at 15:10

Calories: 345 | Carbs: 38.7g | Fat: 15.63g

Protein: 11.4g | Sodium: 817.8mg

Next 2h: Spike +140 mg/dL, settled in 130 min

Illustrative: this pattern often flags large post-meal glucose shifts.

Meal 2: lunch at 20:00

Calories: 169 | Carbs: 0g | Fat: 7.53g

Protein: 23.6g | Sodium: 432mg

Next 2h: Spike +51 mg/dL

Illustrative moderate response window.

Meal 3: dinner at 02:35

Calories: 115 | Carbs: 19.6g | Fat: 2.6g

Protein: 2.87g | Sodium: 310mg

Next 2h: No significant spike in the 2-3 hour window

Illustrative stable response.

Meal 4: snack at 05:25

Calories: 182 | Carbs: 16.5g | Fat: 13.3g

Protein: 13.9g | Sodium: 402mg

Next 2h: No significant spike in the 2-3 hour window

Illustrative stable response.

Use these illustrative cards as a glimpse of Analyst outputs: when your own device stream is connected you'll iterate with meal-specific deltas that reflect your physiology, preferences, and the goals your clinician set.

Interpretation pattern

Analyst summaries can correlate logged meals with CGM segments (example dated 2026-02-08): highlight where spikes clustered by daypart, quantify average spike height in the trailing week, and call out outliers worth discussing with your care team inside the quarterly review.

Coaching focus - reinforce

Double down on meals and pacing that produced flatter excursion curves paired with hunger management.

Coaching focus - adjust

Where excursions repeat, tighten portion strategy, carbohydrate pairing, timing around activity, or discuss titration nuances with your MD.