Philosophy5 minSeptember 2024

Calm Technology in the Age of AI

Why we don't use notifications, streaks, or gamification.

In 1995, researchers at Xerox PARC coined the term "calm technology." They imagined computers that would fade into the background of life — available when needed, invisible when not.

Thirty years later, we have the opposite. Technology demands constant attention. Apps compete for your focus. Notifications interrupt your day. Engagement metrics drive design.

AI could make this worse. Or it could be different.

The Attention Economy

Most software exists in an attention economy. Success is measured by engagement — time in app, sessions per day, active users.

These metrics create perverse incentives. Apps that waste your time score better than apps that respect it. Features that create compulsion outperform features that create value.

The result is technology that treats your attention as a resource to extract rather than a capacity to respect.

What Calm Means

Calm technology takes a different approach. It moves between the centre and periphery of your attention as needed.

When you need it, it's there — capable, responsive, helpful. When you don't, it recedes. It doesn't tap your shoulder. It doesn't create artificial urgency. It doesn't compete for your attention.

Calm technology respects that your attention belongs to you.

Why AI Changes the Stakes

AI amplifies everything. A notification system powered by AI can be more precisely annoying. A gamification system powered by AI can be more effectively addictive.

But AI also enables new forms of calm. An AI assistant can be genuinely helpful without being demanding. It can adapt to your needs without requiring you to configure settings. It can be sophisticated without being complicated.

The question is which path we choose.

Cardana's Approach

We've chosen calm. Not because it's easy — attention-grabbing features are easier to build and easier to measure. But because it's right.

Cardana doesn't send notifications. When you return to it, that's your choice, not a response to our nudging.

Cardana doesn't use streaks or badges. Your learning matters for its own sake, not for the points.

Cardana doesn't optimise for engagement. We optimise for outcomes — did you actually learn what you wanted to learn?

The Trust Equation

Calm technology builds trust. When software respects your attention, you trust it more. When it manipulates your attention, you trust it less — even if you use it more.

This trust matters for learning. Deep learning requires focus, which requires calm. Anxious, distracted attention doesn't consolidate into understanding.

By respecting your attention, we create conditions for the deep focus that learning requires.

Against Gamification

Gamification is the opposite of calm. It adds game-like elements — points, badges, leaderboards — to non-game activities.

Sometimes this works. For routine tasks that benefit from motivation, gamification can help.

But learning isn't a routine task. Learning requires curiosity, and gamification can crowd out intrinsic motivation with extrinsic rewards. Learning requires depth, and gamification often incentivises surface coverage. Learning requires patience, and gamification creates artificial urgency.

We don't gamify because gamification undermines what we're trying to enable.

What This Looks Like

Calm technology has aesthetic consequences. Interfaces are cleaner. Interactions are simpler. The experience is quieter.

But it's not boring. Calm doesn't mean passive. It means focused, intentional, respectful.

When you open Cardana, you enter a space designed for work, not for distraction. The interface supports your purpose without demanding attention for itself.

The Long Game

Calm technology is a long game. Attention-grabbing features produce immediate metrics wins. Calm produces long-term value.

We're building for the long term. We want Cardana to be software you use for years — not because we've hooked you, but because we've helped you.

Conclusion

AI doesn't have to be attention-extracting. It can be calm — helpful when needed, invisible when not.

That's what we're building. Technology that respects your attention, supports your focus, and fades into the background when its work is done.