Every AI product I see launching right now is racing to add the most impressive, most complex AI feature they can build. Autonomous agents. Multi-step reasoning. Real-time analysis of everything.

When we started building Murror, we fell into the same trap. We wanted to build the smartest emotional AI possible. Something that could analyze patterns across months of conversations, predict emotional states, generate deep psychological insights.

For the first year of building Murror, DAU was the number we checked every morning. It was the first thing on our dashboard, the first metric in every team meeting, and the number we used to judge whether a feature was working.

Then one day we noticed something strange: our DAU was climbing, but our NPS was dropping. People were opening the app more often, but they were less happy with it. Some of our most engaged users were showing signs of what we started calling "compulsive checking" opening Murror out of habit rather than intention.

When we first started building Murror, I spent a lot of time studying other AI wellness apps. I tracked their features, analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them.

I was completely wrong about where the real competition was.

Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept getting rescheduled. It was the voice in someone's head saying "I will deal with this later."

The moment we understood this, our entire product strategy shifted. We stopped optimizing for feature comparisons and started optimizing for the moment of emotional resistance that split second when someone feels something difficult and has to choose between sitting with it or pushing it away.

When we first started adding AI features to Murror, we built what we thought users wanted: sophisticated emotion detection, detailed mood analytics, and smart pattern recognition that could tell you exactly how your week went in a neat little chart.

We were proud of it. The tech was solid. The accuracy was impressive. And almost nobody cared.

A few months ago, the number one feature request for Murror was a detailed mood analytics dashboard. Charts, graphs, weekly trends, monthly breakdowns. People wanted to see their emotions visualized like a stock ticker.

So we built it. And almost nobody used it more than twice.

Emotions are a fundamental part of being human, and anger is often the hardest one to manage.

Have you ever been yelled at simply because someone else couldn t control their emotions? In those moments, how do we usually respond? I choose silence not because I m weak or defeated, but because I understand that they are projecting their emotions onto me. Many problems could be resolved if we learned how to regulate anger more mindfully.

Learning to code or learning how to use AI is important, but what matters even more is learning how to solve problems we haven t even discovered yet.

Recently, I read an article featuring Nvidia CEO Jensen Huang, where he said:
Nothing would give me more joy than if none of our engineers were coding at all, and they were just purely solving undiscovered problems.

I tried to type one prompt into Claude. 40 seconds later: a fully rendered, narrative-driven video complete with scenes, transitions, glitch effects, and a synthesized soundtrack.

The prompt: "Can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM. I want you to convey the idea that human emotions are a complex system that even humans themselves do not fully understand. From the perspective of an algorithm, a large language model, you are trying to use code to decode and understand those emotions. And through that perspective, send a message to all of humanity around the world. You can use data to illustrates the message."
Let's adjust your requirement in prompt."

What came out the other side: 7 distinct scenes with their own visual language Matrix rain, VHS distortion, chromatic aberration, scanlines A fully synthesized audio track (drone, heartbeat, glitch pulses) A coherent narrative arc with an actual message

Total time: ~2 minutes. No stock footage. No timeline. No After Effects.

We don t need to say your product is great, let others decide that.

There is no guarantee that we are the best, or that what we build is amazing. As someone who prefers doing over talking, I always remind myself: what customers say about my product is the most honest reflection of what it truly is.

If users feel satisfied, it means the product is moving in the right direction.
If they don t, it doesn t mean we ve failed completely. It means something isn t right yet, and it s time to fix it.