currently in private beta · v0.3

A pocket laboratory for the long, quiet work of observing yourself.

n1lab records the symptoms, foods, and conditions you choose to track, across days and weeks, until shapes emerge. It does not coach. It does not score. The evidence is yours; the interpretation stays with you.

iOS· Android· web
Today · trial day 3 fig 01 · today screen
9:41
TUE · MAY 17

Today

Logging window open until 11:00 AM

AM check-in

Sleep quality, energy, mood, any notable observations from overnight.

PM check-in
Log food
Pain map
Weekly review
Active trial
Eggs
Started Tue 06:42 · 1 of 3 windows logged
2–6h window open
0–2h 2–6h 6–24h
Last 7 days
Compliance
86%
4 vs prior
Brain fog avg
3.2
0.4 vs prior
§ 01 · Instruments

Six recording surfaces. Each one observes, none of them conclude.

01
AM check-ins
Sleep, energy, mood, anything notable from overnight. Logged within a four-hour morning window.
02
PM check-ins
End-of-day burden across symptom domains. The day closes when both check-ins are recorded.
03
8 symptom domains
Cognitive, mood, energy, gut, sleep, pain, cravings, autonomic. Each scored 0–10 on a tabular scale.
04
24h food trials
Three intra-day observation windows — 0–2h, 2–6h, 6–24h — plus a baseline band drawn from the preceding fourteen days.
05
Weight
Plotted against a chosen baseline. No goal numbers. No setpoints. The trend is the only thing the chart shows.
06
Weekly review
A Sunday-evening pass over the week's logs — callouts, possible associations, observations to repeat.
§ 02 · Method

The method is older than the app. The app is just a clean place to do it.

STEP 01

Record what you notice.

Two check-ins a day, a few seconds each. Add a trial when you're reintroducing a food. Drop a note when something feels off.

STEP 02

Watch shapes emerge over weeks.

Symptom load, foods, and trials are plotted against a rolling fourteen-day baseline. Repeated patterns surface on their own.

STEP 03

Confirm what the data is telling you.

The app records the observation, the evidence, and the confidence. It never asserts the interpretation — that belongs to you.

§ 03 · Feature

Trial close-out.

A 24h food trial ends on a single screen. The seven-day burden chart, the three intra-day windows, and one row per symptom — set against the 14-day baseline band. You record the interpretation.

trial #04 · 24h · close-out n1lab tue 06:42 → wed 06:42
Food challenged
Eggs
reaction observed
Tue, May 17 · 24h trial · 2 eggs at 06:42 · trial 2 of 2
Observation window
Tue, May 17 · trial day
burden 0–10
D−3D−2D−1D0D+1D+2D+3
D0 · intra-day
2.7
6.0
4.3
0–2h2–6h6–24h
Symptom load rose above baseline during the 2–6h window.
Symptom response
14d baseline → 24h trial
Dots: 0–2h, 2–6h, 6–24h window averages.
Brain fog
+3.7 over baseline
Gut
+4.1 over baseline
Energy
−2.3 under baseline
Sleep quality
±0.1 within baseline
Your interpretation
The app records what you observed. You decide what it means.
Tolerated
No notable change from baseline.
Reaction observed
Symptoms increased within the window.
Inconclusive
Mixed signal, or confounded by other variables.
Aborted
Stopped early. Insufficient data.
moderate confidence · 3 of 4 observations agree
Notes
"0–2h window felt unremarkable; flare came on around 3 hours in. Slept poorly the night before — possible confounder."
Confounders recorded at start: poor sleep, heavy caffeine, recent alcohol.
CAPTION · FIG 03

n=1 evidence is suggestive, not conclusive. A repeat trial in 4–6 weeks strengthens the signal.

§ 04 · Constraints

The things this app deliberately does not do.

Streaks
Adherence is not the goal. Some weeks you'll record carefully; some weeks you won't. The chart is unmoved either way.
no streaks
Badges
There is nothing to unlock. Observation is not a game; the reward is the record you keep.
no badges
Coaching
No nudges, no scripted encouragement, no "let's do this." The app is a place to notice things, not to be motivated.
no coaching
AI assertions
Where a model surfaces a pattern, it shows the observation, the evidence count, and the confidence — never a conclusion.
no assertions
§ 05 · On n=1

Why n=1 observation, when there are studies and protocols?

Population data tells you what is likely true on average; it cannot tell you what is true for you. Most people who live with the symptoms n1lab is built around — gut reactions, cognitive shifts, energy collapses, autonomic noise — have already tried the protocols. They have been told what their body should do. They are here because what their body actually does turned out to be information no study was looking for.

The aim is modest. Record carefully. Wait. Repeat the trial. Hold every reading lightly until a second reading agrees with it. The app's job is to keep that loop clean — to make sure the next observation sits next to the last one, scaled the same way, on the same baseline, so a pattern has the chance to be a pattern instead of a feeling. The interpretation, where one is warranted at all, stays with the person doing the observing.

— the n1lab note rev 03 · 17 may 2026