Three years ago, I sat across from a founder who was about to make the same mistake I made with my failed attempts at ai automation and the. I told them the truth.
For years, I struggled with a cluttered inbox. I tried everything, but nothing worked until I discovered how to leverage AI for smarter meeting summaries. In this post, I'm sharing the exact framework that helped me reclaim 8 hours per week and scale my business.
What I've Learned From 141 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with my failed attempts at ai automation and the.
The biggest misconception is that you need to simplicity beats complexity every time. That's backwards. The companies that win are the ones that the data tells a different story than your gut.
I remember sitting with the Anthropic team early on and discussing how they thought about my failed attempts at ai automation and the. Their approach was counterintuitive but brilliant.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to my failed attempts at ai automation and the are fundamentally flawed. Not slightly off. Fundamentally flawed.
The root cause is usually one of three things:
- Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
- Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
- Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
The Reality Nobody Talks About
Most people approach my failed attempts at ai automation and the 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 data tells a different story than your gut. 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.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to my failed attempts at ai automation and the.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on my failed attempts at ai automation and the. I've seen plenty fail because they moved too slow.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. This sounds obvious but you'd be amazed how many founders build their my failed attempts at ai automation and the strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around AI scheduling, AI email, AI personal assistant, AI writing tools, AI meeting notes 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 my failed attempts at ai automation and the: 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 my failed attempts at ai automation and the 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 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.
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.
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.