Nutrinaut: AI insights from wearables and daily logs

Plan With Better Context

“AI might help people go faster.”

Alistair Brownlee

Nutrinaut learning library

Understand the data behind the insight

Wearable trends, food-photo estimates and energy calculations are useful only when their sources and assumptions are clear. Our field notes walk through examples, show the arithmetic and mark what remains uncertain.

Check a wearable trend Audit a serving size Compare energy assumptions Understand tags in context

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Your logged data, in context

Nutrinaut combines available signals from compatible wearables and connected health platforms—such as heart rate, HRV, sleep, activity and training load—with food, workout and lifestyle tags. It turns them into clear trends and daily insights; it does not diagnose illness or guarantee readiness.

Focus on the inputs you can use

Nutrinaut brings food, activity and routine information into one place so you can review a simpler plan. Its calorie and macro outputs are estimates, not guarantees of endurance, strength or health outcomes.

Flexible food and workout logging

Log food and workouts by photo, voice or quick entry, and connect compatible activity data if you choose. Automated estimates and summaries are starting points to review and edit; they do not measure recovery or replace professional advice.

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Guides and methodology

What AI Meal Estimates Can—and Cannot—Tell You

A practical guide to checking meal-photo estimates, understanding uncertainty and using the result as an editable draft.

Read meal estimates

How to Read Recovery Signals Without a Readiness Verdict

Wearable and self-reported signals can add context, but no single score can diagnose recovery or determine today’s training.

Read recovery signals

Before You Follow an AI Insight: Check the Evidence

Six questions, three worked examples and a printable evidence card. Separate what an app observed from what its recommendation can justify.

Check an AI insight

An Empty Food Log Is Not a Calorie Deficit

A low diary total can mean missing records, not low intake. Check completeness before interpreting an average or changing a plan.

Check diary completeness

Why Calories and Macros Do Not Always Match

Four worked examples show how rounding, serving sizes and the limits of a simple formula can change the arithmetic.

Audit the food arithmetic

Estimate and Calibrate Maintenance Calories

See the equation, activity assumptions and a cautious 14-day comparison without turning a trend into an exact prescription.

Read energy estimates

Protein Distribution for Active Adults

Turn a daily range into workable meals while keeping an even split in its proper role: organisation, not a hard rule.

Read protein planning

Fueling Before and After Training

Use session duration, intensity and turnaround time to choose a conservative food-first template.

Read training fuel

Read Nutrition Labels and Added Sugar

Keep US and EU or UK label systems separate, scale the declared values and make every unit explicit.

Read nutrition labels

Caffeine, Sleep and Training Recovery

Audit labelled caffeine amounts and timing without predicting clearance, safety or sleep from a single number.

Read caffeine and sleep

Grocery Planning for an Active Week

Turn servings, pantry stock, purchase increments and budget into an editable shopping list.

Read grocery planning

See the Method Before the Claim

Explore focused calculators and guides with visible arithmetic, assumptions, limitations and sources.

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Transparent Tools for Everyday Decisions

Use focused calculators for energy, labels, training fuel, caffeine, sleep and grocery planning. Each result explains its assumptions and limits.

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