What it actually is

Eating protein at a level above the usual baseline, typically for muscle retention while losing weight, for training, or because it keeps people fuller. The evidence for satiety and for holding onto muscle in a deficit is genuinely good. The precise gram target is far less settled than the internet suggests, and for most people the difference between a good week and a bad one is not fine-tuning the number — it's whether two of the three meals had a protein source in them at all.

Why this is hard to keep track of

  • Gram counting needs scales, and scales don't survive a month
  • Packet figures and restaurant meals make most of the day an estimate anyway
  • The shortfall is nearly always one specific meal and no tracker names it
  • Fibre quietly disappears and nothing in a protein app is watching for it

Worth recording

  • Whether the meal had a protein source, and roughly what
  • Which meal it was — the answer is almost always meal-shaped
  • Training days against rest days, if that's the point
  • Vegetables and fibre alongside it, because this is where they slip

Cadence

A sentence a meal. No weighing, no barcodes

In practice

Say it once, or photograph it

The entries most worth having are the ones made at the exact moment nobody wants to fill in a form. A sentence — typed, dictated, or replaced entirely by a photo of the plate — is a much lower bar, and it carries the context a calorie field would have thrown away.

High Protein Chat

Trained this morning. Breakfast was porridge, lunch was eggs on toast, dinner was steak and chips.

Called 4 tools

  • log_meal(items: ["porridge"], meal: "breakfast", training_day: true)
  • log_meal(items: ["eggs", "toast"], meal: "lunch")
  • log_meal(items: ["steak", "chips"], meal: "dinner")
  • find_pattern(group_by: "meal", tag: "protein_source")

Logged all three. Across 28 days, meals with a protein source: breakfast 9, lunch 22, dinner 27. Training days and rest days look almost identical, which is worth knowing if the plan assumed otherwise. Vegetables appear in 11 of the 28 dinners.

Every figure here was counted from entries you made. The model chose which tools to call — it doesn't score the meal, estimate calories from a photo, or decide what any of it says about you.

And then ask

The question the log can answer

Months of entries hold real answers to the things you've been guessing at, and reading them properly has always meant a spreadsheet and a free evening — which is exactly what nobody has.

Ask in plain language. The answers come back with the counts behind them, including when those counts are too thin to mean anything yet — which is the more useful answer far more often than people expect.

Asking about the pattern Chat

Where am I actually falling short — is it the total or the timing?

Called 3 tools

  • get_history(topic: "high-protein", window: "6m")
  • find_pattern(group_by: "context")
  • compare_periods(metric: "entries")

Timing, and specifically breakfast. Your log shows a protein source at breakfast on nine of 28 days, and porridge or toast alone on 17. Lunch and dinner are consistent. The other thing standing out: vegetables are in 39% of dinners, down from 71% before you started this — that's the trade-off people usually don't notice.

Counts and averages over your own entries, nothing more. Where the data is confounded or too thin, the answer says so instead of rounding it into a conclusion.

What it does

Set up around high protein

The same mechanics as everything else here, pointed at what actually matters for this one.

Log the protocol as you're living it

What you ate, in a sentence, plus whatever this particular protocol turns on — a window, a training day, a threshold. No spreadsheet to maintain.

The parts that drift

Windows stretch, thresholds creep, and the rule you're following in month three is rarely the one you started with. Drift is obvious in a record and invisible from inside it.

Whether it's actually doing anything

The question every protocol dodges. Answered here by comparing your own weeks against each other, rather than against a claim from a website.

Straight about the evidence

Where the research is strong we say so, and where a popular claim doesn't hold up we say that too. You can get the marketing version anywhere.

The weeks it slips are the useful ones

Adherence is what separates protocols that work from protocols that don't. The days it came apart, and what was happening on them, are the most informative entries in the whole log.

Something to review with someone

Several of these interact with medication. A real record of what you ate and how it went is what makes that a conversation rather than a guess.

The reason a lot of people start

Something to actually bring to the appointment

You get fifteen minutes, and the first question is always some version of "so what does a normal week look like?" — which nobody on earth can answer accurately from memory.

What this gives you: A month of real meals for a dietitian or a coach to look at, instead of a target you're both discussing in the abstract.

  • Export the date range you were asked about, as a file you can print
  • Photos alongside the entries, which say more than any description
  • Counts and timings rather than an impression of the worst week
  • Nothing shared anywhere unless you choose to share it

What it won't do

  • Score a meal, or sort food into good and bad
  • Estimate calories from a photo and present the guess as a number
  • Set you a calorie target, a macro target, or a weight
  • Run a streak you can break, or tell you that you've fallen behind
  • Comment on your body. The photos here are of food
  • Diagnose anything, or suggest that a pattern is a diagnosis

It's a notebook that can do arithmetic and answer questions about itself. Deciding what any of it means is a job for you and the people advising you.

Early access

Start with what you're already trying to hold in your head

Tell us what you've been trying to keep track of and we'll set it up with you — recording the thing that's actually useful, at a cadence that survives a bad week.

  • Founding accounts lock their price for life
  • No card, no trial clock, no notification designed to make you feel behind
  • Export everything you've logged, photos included, whenever you want

No card required. Unsubscribe any time.

Keep the record without it becoming another job

Founding pricing is locked for accounts opened during early access.

Founding accounts lock their price for life. No card required.