Very Very Fucking Simple
On holiday, I kept thinking about the learning app and realized the plan might be annoyingly simple: serve 20 to 50 people well, prove the loop, then scale what works.
A quiet shelf for ideas, notes, unfinished theories, and little intellectual souvenirs. Minimal on purpose. Not grave on purpose.
On holiday, I kept thinking about the learning app and realized the plan might be annoyingly simple: serve 20 to 50 people well, prove the loop, then scale what works.
At lunch, I noticed a small status game still running in me: the urge to prove intelligence, taste, depth, and maybe even how little I care about status.
AI is making copying faster, cheaper, and more inevitable. So maybe the moat is not just execution. Maybe it is attention, taste, and a company having a flavour that can only come from the authentic nature of its leadership.
I thought I was learning AI agents. But after a week of getting my hands dirty, the real thing I noticed was stranger: maybe the business bottleneck is no longer permission, capital, or even me.
Watching Y Combinator talk about “token maxing” made me realize I was still using AI with a scarcity mindset. If intelligence is becoming abundant, the real bottlenecks are no longer tokens or effort, but aim, taste, review, and iteration.
The interface for work is shifting from clicking around apps to expressing clear intent into connected systems. If that is true, productivity becomes less about operating software and more about thinking clearly enough to direct it.
Learning starts to change when you stop watching from the stands and get back on the court.