Breaking · Drinking Less
Track drinking less without an app that treats it as all or nothing
Most drinking apps are built for sobriety, so they only know two states: sober day, or failure. That's the wrong shape for someone whose goal is four alcohol-free days a week and nothing over three drinks on the others. You need a tracker that can hold a target with a number in it, and that doesn't declare the week a write-off because Saturday happened.
Why drinking less is hard to track
Not hard to do — that's a separate problem. These are the reasons the tracking itself tends to give out first, which is usually what takes the habit with it.
- Streak-based apps mark a two-drink Saturday exactly the same as a twelve-drink one
- A weekly target is the real goal, and daily yes/no can't represent it
- You reconstruct last night the next morning, not in the moment
- The thing worth knowing is what preceded the heavy nights, and nothing captures that
Worth tracking
- Alcohol-free days per week against your target
- Units or standard drinks, not just "did I drink"
- What was happening — out, home, work thing, alone
- Sleep and mood the day after
Cadence
Logged the next morning, reviewed against a weekly target
What progress looks like
First week hitting your AF-day target, first month, and the first heavy night you saw coming and rerouted
In practice
Log it in the sentence you'd have said anyway
Every operation in the app is a tool the chat can call, so drinking less gets recorded — with its context — in the time it takes to think it.
Called 4 tools
log_check_in(habit: "drink-less", units: 6, context: "work leaving do")log_related(habit: "sleep", quality: "poor")get_target(habit: "drink-less", period: "week")summarize_progress(period: "week")
Every figure here was counted from your check-ins. The model picked the tools and filled in the arguments — it never estimates a streak or invents a number.
And then ask
The question your history can answer
Weeks of check-ins about drinking less contain a genuine answer to questions you've been guessing at. The only thing that was ever missing was something willing to read them.
Ask in plain language; the model turns it into queries against your record and shows the numbers behind the answer, so you can tell a real pattern from a coincidence in eleven data points.
Called 3 tools
get_history(habit: "drink-less", window: "6m")find_pattern(group_by: "context")compare_periods(metric: "completion")
Every figure is a count or an average over your own check-ins. The model chose which comparisons to run; it produced none of the numbers.
What it does
Set up around drinking less
The same mechanics as every other habit, pointed at what actually matters for this one.
A slip is a data point, not a reset
One bad day doesn't zero six good weeks. It gets logged with what was happening around it, which is the part that makes the next week survivable.
Near misses count as signal
The times you wanted to and didn't are the most informative events you have. Units or standard drinks, not just "did I drink" is recorded as its own thing, not inferred from an absence.
Reduction targets, not just zero
Cutting down is a legitimate goal with a number in it. Set a target and a taper, and measure against those rather than against perfection.
Trend across months
One rough week reads as one rough week when it sits on a six-month line. That's the view that keeps people going, and it's the one streak counters can't draw.
The hours that actually matter
Logged the next morning, reviewed against a weekly target — so the record lines up with when the difficulty is, rather than with midnight.
A nudge before the hard part
Not a daily ping you learn to swipe away. Something at the hour your own data says is the risky one.
Early access
Start with drinking less
Tell us where it's gone wrong before and we'll set it up with you — measuring the right thing, at a cadence you'll keep.
- Founding accounts lock their price for life
- No card, no trial clock, no streak-guilt notifications
- Export everything you've logged whenever you want
Also breaking
Other habits people track
Quitting Smoking
Logged when a craving hits, reviewed every Sunday
Quitting Vaping
Counted roughly through the day, reviewed weekly against the taper plan
Cutting Screen Time
Logged at natural boundaries — morning, end of work, bed
Cutting Sugar
Logged in the moment, one line, reviewed weekly
Beating Procrastination
Logged as it happens or at end of day, reviewed weekly
Track drinking less by talking about it
Founding pricing is locked for accounts opened during early access.
Founding accounts lock their price for life. No card required.