Three people at home should not mean nine days of waiting.
Adapting a chore’s rhythm needed a limit that people could understand.
there is a problem with task assignement, there are currently 3 people at home and it should not stretch to 9 days cause that is way too long
The household had fewer people at home, and the interval between tasks had stretched too far. The schedule was adapting, but the adaptation was no longer useful. I asked for the cadence logic to be explained.
That is where a rule has to survive contact with its purpose. Reduced occupancy can justify less frequent work. It cannot justify a delay that leaves the shared space neglected.
See the original requestFrom the development record
More presence should not create a longer wait.
A reading guide to the recorded bounded cadence rule. This is an explanation, not a screenshot of household activity.
- 01
Start with the baseline
Keep the intended task rhythm as the reference point.
- 02
Account for presence
Use household presence to adjust the interval in the intended direction.
- 03
Apply the bounds
Prevent the adjustment from stretching the wait into the opposite of what the rule was meant to achieve.
| People home | Next interval |
|---|---|
| 5 | 3 days |
| 4 | 4 days |
| 3 | 5 days |
| 2 or fewer | 6 days, capped |
The article’s numerical example is the place to inspect the rule. A colourful availability grid would not prove the calculation.
The original request13 Jul 2026 · excerpt
there is a problem with task assignement, there are currently 3 people at home and it should not stretch to 9 days cause that is way too long
Excerpted from the development conversation. Punctuation is lightly edited; the surrounding story is an edited retrospective.
01
Nine days was the wrong kind of adaptation.
The initial diagnosis separated who gets the task from when the task should recur. Those decisions are connected to the household, but they are not the same calculation. Fewer people at home can reduce demand for a chore. It should not automatically multiply the interval so far that the shared space stops being maintained. My complaint about nine days made that limit concrete.
The later proportional rule made the behaviour inspectable. For the recorded three day example in a household of five, the interval became four days with four people home, five with three, and reached a six day cap with two or fewer. The cap is a product judgement about the practical upper limit, not a mathematical discovery that every chore should obey. It keeps adaptation inside a range the household can understand.
02
The cap is part of the feature
The adaptive interval was capped at twice the original cadence. Without a cap, an otherwise reasonable proportional relationship could produce an unreasonable practical result as occupancy approached zero.
The pause policy remained a separate consideration. Extending a cadence and pausing work are different decisions, and the interface should not make them appear interchangeable.
03
An explanation is only useful if the planner uses it too.
A preview is a promise about what the app will do. If it calculates one interval while assignment creation uses another, the interface becomes a convincing explanation of the wrong behaviour. The recorded work applied the proportional calculation in both forecasting and actual creation. That connection is the detail I want to show as an AI developer: following a rule past the screen where it is described.
I would review the boundary cases with the same small table of examples in both places. Full occupancy should preserve the base interval. Falling occupancy should change it predictably. The cap should hold, and the separate pause policy should remain separate. The diagram explains the rule without exposing private household activity. The explanation is not evidence that the rule was evaluated correctly for every household.
The calculation depends on the availability people enter. I return to that question in A week of availability, painted in a few gestures.
Where this chapter landed
What changed.
Proportional cadence with a two times cap was applied consistently to forecasts and assignment creation, and recorded as shipped.
Added while revisiting this story · September 2026
The thinking behind the detail.
Research notes to take these decisions further. These sources were reviewed for this retrospective.
Make the rule explainable
NN/G describes mental models as the beliefs people use to predict a system. My application here is to expose a bounded relationship between occupancy and cadence, then keep the forecast and actual schedule consistent with that explanation.