I've been wrong about the top 3 ai productivity hacks nobody is talking about more times than I'd like to admit. But the last mistake taught me something I can't unlearn.
After burning out trying to do everything myself, I went all-in on AI. Some experiments were a disaster, but others were life-changing. I'm opening up my playbook to show you what worked, what didn't, and how to build your own AI-powered personal OS.
The Reality Nobody Talks About
Most people approach the top 3 ai productivity hacks nobody is talking about 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 customer feedback is the only metric that matters. 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 data tells a different story than your gut. Once we made the switch, everything changed.
What I've Learned From 129 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with the top 3 ai productivity hacks nobody is talking about.
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 simplicity beats complexity every time.
I remember sitting with the Anthropic team early on and discussing how they thought about the top 3 ai productivity hacks nobody is talking about. Their approach was counterintuitive but brilliant.
The AI Angle
I can't talk about the top 3 ai productivity hacks nobody is talking about in 2026 without mentioning AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.
The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.
I've seen companies use AI to 10x their the top 3 ai productivity hacks nobody is talking about capabilities. I've also seen companies waste millions on AI solutions that solved the wrong problem. The difference comes down to understanding what you're actually trying to achieve.
This connects to broader themes around AI email, AI writing tools, AI tools for founders, AI scheduling 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 the top 3 ai productivity hacks nobody is talking about: 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 the top 3 ai productivity hacks nobody is talking about 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
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
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.
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.
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.