When we were building RemoteTeam, i spent 8 years perfecting ai culture building nearly killed us before we figured it out.
After years of trial and error, I finally cracked the code on AI culture building. I'm sharing the raw, unfiltered story of my struggles and the hard-won victories so you can skip the mistakes and get straight to the results. It wasn't easy
What I've Learned From 105 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with i spent 8 years perfecting ai culture building.
The biggest misconception is that you need to most founders overthink this and underspend on execution. That's backwards. The companies that win are the ones that timing is everything in this game.
I remember sitting with the Anthropic team early on and discussing how they thought about i spent 8 years perfecting ai culture building. Their approach was counterintuitive but brilliant.
The Reality Nobody Talks About
Most people approach i spent 8 years perfecting ai culture building with assumptions that made sense five years ago. The world has moved on. When I look at my portfolio companies, the ones that succeed are doing something fundamentally different.
The first thing to understand is that the best solutions are often the simplest ones. I've seen this play out across dozens of companies. The pattern is unmistakable.
At RemoteTeam, we learned this the hard way. We spent months going down the wrong path before realizing that the market doesn't care about your roadmap. Once we made the switch, everything changed.
The Numbers Don't Lie
I've tracked the performance of companies in my portfolio that take i spent 8 years perfecting ai culture building seriously versus those that don't. The difference is stark.
Companies that invest early in i spent 8 years perfecting ai culture building see, on average, 2-3x better outcomes within 18 months. That's not a small edge. That's the difference between raising your next round and running out of runway.
One of my portfolio companies went from struggling to profitable in under a year after they finally got serious about this. The founder told me later that they wished they'd started sooner.
This connects to broader themes around AI culture building, async communication AI, AI coworking, AI performance reviews that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But here's the thing about i spent 8 years perfecting ai culture building: you don't need to get everything right on day one. You just need to get started and keep improving.
The founders in my portfolio who excel at i spent 8 years perfecting ai culture building share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.