Made for the shot

Eating on a GLP‑1 is a different problem.

Appetite is gone, portions are small, and protein is suddenly the only number that matters. Nutrician is built for exactly that, and it tells you where every figure came from.

No fabricated numbers. Every figure carries its source and a real range.

For people already prescribed a GLP‑1. Nutrician does not prescribe, recommend, or help you obtain medication. The prescription is between you and your clinician; we help with the eating.

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The Nutrician chat screen: a meal described in plain words, with protein and calories remaining across the top.

How it works

The coach cannot hand you a number
it did not source.

Most food apps show a calorie count and leave you to assume it is right. Here the model writes the sentence, and the figures are filled in afterward from what you actually logged. Anything it tries to state on its own is stripped before it reaches you.

“two eggs and toast”› broken into items› label, menu or database› stored

214 kcal source: USDA. Auditable, every time.

an unsourced guess› the gate

Blocked dropped mid‑sentence, before you see it.

This is architecture, not a prompt. Where a food is in no database at all, the app still gives you a figure, and labels it plainly as its own estimate with a range. What it will not do is dress a guess up as a fact.

From your labelYou scanned the packaging.
From a menuPublished figures for the restaurant you are sitting in.
From a databaseMatched to a reference nutrition entry.
You corrected itYour number outranks ours, and we say which ones you gave us.
Our estimateShown as an estimate, with a range.
Weakest winsA meal takes the weakest source inside it. Averaging would flatter us.

Built for the medication

Small plates and low‑appetite days
are normal here, not failures.

Protein is a floor, not a ceiling

Something to reach, not stay under. When appetite is gone the coach suggests what actually fits, and a quiet day on the drug is never called a failure.

Ate half of it? Say so

The numbers rescale by that fraction. Or photograph the plate afterward and it works out what is left, instead of counting a portion you did not eat.

Shot day, side effects, food noise

All of it in the same chat box. Symptoms that need a clinician are pointed at your prescriber, never answered with a food tip.

A check-in asking how much you are thinking about food and how your energy is, above a weight trend chart.

The rest of it

Chat is the whole interface.

A list of previously logged meals, each available to log again in one tap.

Location precise

Sitting in a restaurant, it matches the live menu for where you are and suggests what fits before you order, not after.

One tap to repeat

Yesterday's dinner is one tap at dinnertime, same numbers, nothing guessed twice.

Apple Health

Weight reads in so your trend stays current. Meals write out, each carrying its name and where its numbers came from.

Honest streaks

Rest days are free and nothing is sold back to you. Weight, water, measurements and symptoms all live in the same place.

What we will not claim

We are not the most accurate app.
Nobody can prove that one.

Portion size is the hardest part of tracking food and no app has solved it, this one included. A database entry is an average, not a measurement of what is on your plate. Even a nutrition label is a range: federal rules let the protein in a food run as low as 80 percent of the declared value, and the calories as high as 120 percent.

The claim we do make is one you can check. Every figure shows its origin, and our guesses look different from our facts.

The long version, on why AI food apps sound so certain and what we built instead: Guessing looks exactly like knowing.

Eating on a GLP‑1 is a different problem.

The coach cannot hand you a numberit did not source.

Small plates and low‑appetite daysare normal here, not failures.