Most habit apps try to be your coach. We tried something different.

Open most habit or wellness apps and within the first few days you will receive a recommendation. Drink more water. You completed your streak — keep going. Based on your activity, we suggest cutting back on caffeine after 2pm.

These recommendations come from somewhere. Averages, mostly. Population studies. General guidelines. Sometimes an algorithm trained on data from thousands of users who are not you.

The problem isn't that the advice is bad. Sometimes it's fine. The problem is the assumption underneath it: that the app understands your life well enough to tell you what to do differently.

What an app actually knows about you

An app knows what you have told it. It knows how many steps you logged, how many glasses of water you entered, whether you ticked the sleep quality box. It does not know that you had a stressful week at work, that you are recovering from something, that your schedule is completely different on Tuesdays, or that you have been drinking less coffee because of a headache pattern you noticed yourself three weeks ago.

Context is the whole thing. And context is exactly what apps cannot have.

So when an app tells you to drink more water, it may be right. Or it may be completely irrelevant to what is actually going on with you. You have no way of knowing which, and neither does the app — but only one of you knows it doesn't know.

The coaching problem

There is also something subtler happening when an app positions itself as your coach. It shifts ownership. Instead of you looking at your data and drawing your own conclusions, you are waiting for the app to tell you what it means.

That might feel helpful. But over time, it trains you to be a passive observer of your own habits rather than an active one. You check in to see what the app says about you, rather than to see what you notice about yourself.

We decided early on that we didn't want to build that relationship with our users.

What we built instead

NLife App does not give recommendations. It does not tell you what to eat, when to drink, or how to change your behaviour. It does not send you nudges that say you are falling behind, or celebrate streaks in ways that make you feel guilty for missing a day.

What it does is keep the record. Every entry you make is timestamped and stored. You can look back at a day, a week, a month. You can see what you logged before you felt a reaction. You can see patterns — or you can see that there are no patterns, which is also useful information.

The interpretation is entirely yours. We provide the data. You provide the understanding of your own life.

This is harder to build than it sounds

Building a product that deliberately doesn't do what most competing products do is an interesting design challenge. Every time we considered adding a feature, we asked: is this giving the user more of their own data, or is this us pretending to understand their data for them?

Most features that felt clever in a demo fell apart under that question.

What remained was the log. Fast to use, honest in what it records, and completely quiet about what it thinks you should do with the information.

We think that's the right thing to build. We think most people, given good data about themselves over enough time, are more capable of understanding what's going on in their own bodies than any algorithm could be.

We're trying to give people that chance.