# Log your whole day in one line

Logging should take less time than the set it records. Type what you did the way you would text a friend, in one line, and it is matched to your own metrics: counts, hours, kilometres, kilograms, check items, meals with protein, even gut health. Anything it cannot place comes back to you instead of being guessed into the wrong metric.

## How it works

1. **Type what you did.** In plain words, the way you would text a friend.
2. **It matches your metrics.** Names, synonyms and units: slept, ran, 5k, 7h30, 72.4 kg, bristol 4.
3. **Check what it logged.** Every value shows as a chip. Anything it could not place comes back to you.
4. **Fix in a tap.** Tap a card to correct a number, or add an unknown phrase as a new metric.

## Who uses it

- On the train home: "One line covers the whole day in ten seconds."
- Low-effort tracking: "I hated forms. Now I just type the sentence."
- Through my assistant: "I tell Claude what I did and it uses the same parser."

## It understands units

"6.5h", "7h30", "5k", "1.2 km", "72.4 kg", "2.5L" and "30 sec" all convert to the metric's own unit.

- "ran 5k" logs run distance
- "slept 7h30" logs 7.5 hours of sleep

## Meals in the same line

Start a clause with breakfast, lunch, dinner or snack and the rest is the meal, with protein, calories and On plan or Off plan pulled out.

## Or let your AI type it

The same parser is a tool on the MCP server, so Claude or ChatGPT can log a sentence for you.

## Questions

### What if it misreads something?

It only matches your own metrics and shows exactly what it logged. Tap a card to fix a value, and unknown phrases are listed so you can add them as metrics.

### Can I log yesterday?

Yes. Open yesterday from the week strip on Today and log there.

### Does it work with gut and health metrics?

Yes: "pooped twice, bristol 4, 28g fibre, hrv 54" logs four metrics.

### Which units does it understand?

Hours and minutes (including 7h30), km, m, k (for steps or running), kg and lb, litres and ml, grams, seconds, reps, bpm, ms and mmHg.

### Is the parser the same for my AI?

Yes. The quick_log MCP tool runs the same code with the same checks.

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Canonical: https://revns.com/features/one-line-logging
Index of everything: https://revns.com/llms.txt
revns gives training guidance, not medical advice.