The science
Evidence, not vibes
Consistency Calendar has one design rule: a mechanic ships only if published research backs it — and the plan compiler enforces the science, so an enthusiastic AI can't generate a plan that ignores it. These are the findings we build on, what they actually say, and where they show up in the product.
Implementation intentions
“If-then” planning roughly doubles follow-through on goals. Every habit we schedule carries an anchor.
HabitsHow long habits really take
Median 66 days to automaticity — which is why sprints run in weeks-to-months, with 2–3 habits at a time.
TrackingWhy tracking progress works
138 trials say monitoring progress improves goal attainment — more when it's recorded. Hence tick-first design.
GoalsGoals that get done
Specific, challenging, dated goals outperform “do your best” — with feedback loops and subgoals along the way.
ConsistencyStreaks break people
Rigid streaks trigger abandonment after one miss. Flexible consistency — 80% over months — sustains it.
TimingThe fresh start effect
Temporal landmarks spike motivation. We aim sprints at Mondays and month-starts to catch the wave with a plan ready.
ExamsStudy that sticks
Retrieval practice and spacing beat re-reading. Our study sessions are quiz-first by construction.
RacingThe taper
Training less before a race makes you faster. Endurance plans must taper — the compiler checks.
MoneySaving that sticks
Automation beats willpower: pay yourself first, then track the curve. How savings sprints are structured.
Applying it
A-level revision timetables
Working backwards from each paper, interleaving subjects, and the four mistakes that waste the most time.
GuideRevising with ChatGPT
The prompt that works, and the three things it reliably gets wrong.
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