This might be controversial, but I'm convinced most founders are using AI completely wrong. We're all chasing the shiny new tools, the automated email sequences, the AI-powered everything. I get it. I’ve been there. I spent the last 14 months and well over $5000 trying to automate my way to a more productive life. I tested dozens of AI email tools, scheduling assistants, and writing aids. The result? A lot of wasted time, a bunch of money down the drain, and a hard-earned lesson: automation isn't the answer. At least, not in the way most people think.
I’m Sahin Boydas. I’ve built and sold two companies, RemoteTeam and MovieLaLa. I’ve been an angel investor in over 200 startups, including some of the biggest names in AI like Anthropic, OpenAI, and Scale AI. I’ve seen the power of AI from the inside. But I’ve also seen how it can be a massive distraction. My journey into the world of AI automation was a rollercoaster of excitement, frustration, and ultimately, enlightenment. Here’s what I learned.
Lesson 1: The Allure of the “Magic Bullet”
When I first started exploring AI automation, I was looking for a magic bullet. I wanted a tool that would just handle my email, schedule my meetings, and write my content. I tried them all. I’m talking about the big names, the up-and-comers, the ones with the slick marketing and the glowing testimonials. I spent hours setting up complex workflows, training models on my writing style, and integrating everything with my calendar. The initial results were… underwhelming. The AI-generated emails sounded robotic. The scheduling assistants were constantly getting confused. And the writing tools produced generic, soulless content.
I remember one particularly painful experience with an AI email tool. I had spent a week training it on my past emails, hoping it would learn my voice and be able to respond to routine inquiries on my behalf. The first email it sent was to a potential investor. It was a disaster. The AI completely misunderstood the context of the conversation and sent a response that was not only unprofessional but also factually incorrect. I had to do some serious damage control to salvage that relationship. That was my first wake-up call.
Lesson 2: The 80/20 Rule of AI
After my initial failures, I took a step back. I realized I was trying to automate everything, which was the wrong approach. I started thinking about the 80/20 rule. What were the 20% of my tasks that were taking up 80% of my time? For me, it was the endless back-and-forth of scheduling meetings and the time-consuming process of drafting initial outlines for my blog posts. So, I decided to focus my AI efforts on those two areas.
Instead of trying to find a tool that would do everything, I looked for tools that did one thing really well. For scheduling, I found a simple AI assistant that could handle the initial outreach and find a time that worked for both parties. It wasn't perfect, but it saved me hours of administrative work each week. For writing, I started using an AI tool to generate rough outlines and bullet points. It wasn't writing the articles for me, but it was giving me a starting point, which was a huge help.
Lesson 3: The Power of Human-in-the-Loop
This is the most important lesson I learned: AI is a tool, not a replacement for human intelligence. The real power of AI comes from a human-in-the-loop approach. The AI can do the heavy lifting, the data analysis, the initial drafting. But a human needs to be there to provide the context, the creativity, and the final polish.
Think of it like a chef and a sous chef. The sous chef can do all the prep work – the chopping, the measuring, the pre-cooking. But the chef is the one who brings it all together, adds the final touches, and creates a masterpiece. The same is true for AI. The AI is your sous chef. You are the chef.
Lesson 4: The Myth of “Perfect” Automation
I used to believe that the goal of automation was to create a system that ran perfectly without any human intervention. I was wrong. The goal of automation is to create a system that is good enough. It doesn't have to be perfect. It just has to be better than the alternative.
My AI scheduling assistant, for example, still makes mistakes sometimes. It occasionally double-books me or misunderstands a request. But it's still a huge improvement over the old way of doing things. The time I save from not having to manually schedule meetings far outweighs the occasional inconvenience of having to fix a mistake.
Lesson 5: The Importance of Data
The market is flooded with AI email tools claiming to be the best. I spent 14 months and over $5000 testing the top contenders. This is my brutally honest, data-backed review of which tools are worth your time and money. The truth is, most of them are not very good. They make big promises, but they fail to deliver. The ones that do work are the ones that are built on a solid foundation of data.
Good AI is all about the data. The more data you have, the better your AI will be. This is why I’m so bullish on companies like Scale AI and Hugging Face. They are building the infrastructure that will power the next generation of AI applications. And it’s why I’m so skeptical of AI tools that don’t have a clear data strategy.
Lesson 6: The Future is Augmented, Not Automated
I’m a big believer in the power of AI. I think it has the potential to change the world. But I don’t think it’s going to happen in the way that most people think. I don’t think we’re going to have fully autonomous AI systems running our lives anytime soon. Instead, I think the future is augmented. AI will be a tool that we use to augment our own intelligence, to make us smarter, more productive, and more creative.
I’m already seeing this in my own life. I’m using AI to help me write better, to make better investment decisions, and to connect with people in more meaningful ways. It’s not about replacing myself with a machine. It’s about becoming a better version of myself with the help of a machine.
Lesson 7: The Real ROI of AI
After all my failed attempts and hard-earned lessons, you might be wondering if I think AI is worth it. The answer is a resounding yes. But not for the reasons you might think. The real ROI of AI is not about saving time or money. It’s about freeing up your mind to focus on the things that really matter.
Before I started using AI, my days were filled with a never-ending stream of administrative tasks. I was constantly reacting to things, putting out fires, and just trying to keep my head above water. Now, thanks to AI, I have more time to think, to be creative, and to focus on the big picture. I’m a better entrepreneur, a better investor, and a better writer because of it. And that, to me, is priceless.
So, what’s the bottom line? Don’t be afraid to experiment with AI. But don’t expect it to be a magic bullet. Start small, focus on the 80/20, and always keep a human in the loop. The future of AI is not about automation. It’s about augmentation. And the sooner you embrace that, the sooner you’ll start to see the real benefits.
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.
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.