China and California both moved to rein in AI companion apps this month and the whole debate hinges on a question most builders never ask: what happens when the user closes your app?
Two weeks ago, on July 15, China rolled out rules specifically aimed at curbing emotional dependence on AI companion bots. Platforms now have to detect distress, intervene in a crisis, cap excessive use, and hand users real control over their data. California, meanwhile, became the first U.S. state to pass legislation regulating companion chatbots, forcing developers to build in actual safety protocols.
What are three things you re grateful for every day? Are they the same, or do they change over time?
For me, the three things I m grateful for most days are:
Having the health to keep working
Having work that I can pursue and grow with
Having a family that cares about me and supports me from behind the scenes
Of course, each day brings different moments, small wins, or reasons to feel grateful. But at the core, it often comes back to the same things: health, work, and family.
In 2026 a growing share of your customers form their first impression of your product inside a chatbot you can't see and you don't get to write the recommendation.
Distribution used to have a front door you could find. Someone had a problem, they typed it into Google, they scrolled a page of links, and if you'd done your SEO homework or timed a launch right, you were on it. You could see the door. You could optimize the door.
When we first built Murror, our AI would automatically surface emotional patterns after every journal entry. "You've mentioned feeling anxious about work 4 times this week." "Your mood tends to dip on Sunday evenings."
Users loved it in demos. They called it "impressive" and "insightful." Our internal metrics looked great -- pattern detection accuracy was 87%.
The models got dramatically smarter this year. Your product didn't get more trustworthy and in 2026, those turned out to be two completely different problems.
Here's the line that reframed it for me. Stanford's AI Index this year leans on a phrase from Ethan Mollick the "jagged frontier" to describe how these systems excel and then fall off a cliff with no warning. Their example is almost too good: an AI model can win a gold medal at the International Math Olympiad and still not reliably tell time from a clock face. Genius and incompetence living in the same box, and no obvious seam between them.
Last month I pulled our engagement data expecting to celebrate. Daily active users up. Session length up. Entries per week up. Every growth chart pointed right and up.
Then I read what our most active users were actually writing.
Many people have told me that being part of Gen Z comes with advantages we have time, energy, and plenty of opportunities to shape our careers in the AI era. And I do feel lucky to have grown up with technology, to have had early exposure and opportunities to learn and explore it.
But the AI era feels different. The shift is not only new, it s happening at lightning speed. Before I ve even fully adapted to working with AI, we re already seeing waves of layoffs where human roles are being replaced or reshaped by AI systems. And honestly, that creates uncertainty and anxiety not just for me, but for many people around us.
OpenAI's own app guidelines say commerce is physical goods only, and name subscriptions, credits and freemium upsells as not allowed, directly or indirectly. The same surface already ships an ads pixel and a Conversions API. That ordering tells you what it's for.
There's a distribution channel a lot of makers are quietly building for right now, and the rulebook for it is a page almost nobody reads. I read it this week because I was working out whether Murror belongs there, and one paragraph changed how I'd plan around it.
In 2026 the bottleneck isn't code anymore it's the person typing the prompts. Here's what I do to keep that person functional.
A year ago, "I built a working app this weekend" was a flex. Now it's a Tuesday. Vibe coding went mainstream, agents write most of the first draft, and the gap between an idea and a shipped product has basically collapsed. That's the good news, and it's genuinely great.
