Breaking · Quitting Smoking
A habit tracker for quitting smoking that you can actually talk to
The hard part of quitting isn't the decision, it's the ninety seconds after a craving starts. A counter of smoke-free days tells you nothing about those ninety seconds. What helps is knowing that yours cluster after lunch, that they spike on days you drink, and that the ones you rode out lasted about as long as the ones you didn't.
Why quitting smoking 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.
- A day counter resets to zero after one cigarette and erases six weeks of real progress
- Cravings arrive at specific times around specific people, and nothing records that
- Nicotine replacement tapering is a schedule you're supposed to remember on your own
- The dangerous moments are exactly the moments you don't want to open an app and fill in a form
Worth tracking
- Smoke-free days, plus how many you smoked on the days you did
- Cravings — when, how strong, what was happening
- Money not spent, at your actual pack price
- Nicotine replacement dose over the taper
Cadence
Logged when a craving hits, reviewed every Sunday
What progress looks like
24 hours, 3 days, 2 weeks, 1 month, 3 months — the points where the physical and mental sides each shift
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 quitting smoking gets recorded — with its context — in the time it takes to think it.
Called 4 tools
find_habit("quit smoking")log_craving(intensity: 8, resisted: true, context: "after lunch, with Dave")get_streak(habit: "quit-smoking")find_pattern(window: "30d", group_by: "time_of_day")
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 quitting smoking 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: "quit-smoking", 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 quitting smoking
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. Cravings — when, how strong, what was happening 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 when a craving hits, reviewed every sunday — 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 quitting smoking
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 Vaping
Counted roughly through the day, reviewed weekly against the taper plan
Drinking Less
Logged the next morning, reviewed against a weekly target
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 quitting smoking by talking about it
Founding pricing is locked for accounts opened during early access.
Founding accounts lock their price for life. No card required.