''' I’ve built two companies that have been acquired, invested in over 200 startups, including some of the biggest names in AI like Anthropic and OpenAI, and everyone assumes I have some incredibly complex, automated system running my life. The truth is, my early attempts at AI automation were a complete disaster. I wasted months and thousands of dollars trying to build the perfect, all-encompassing AI assistant, only to realize that the most effective solutions were often the simplest. I’m going to share my journey, my failures, and the handful of tools that actually work for me. Forget the hype; this is what real AI productivity looks like.
The Allure of the "Perfect" AI System
When I first started experimenting with AI, I was obsessed with the idea of creating a fully autonomous system. I imagined an AI that could manage my calendar, answer my emails, and even draft my articles, all without any human intervention. I hired a team of developers and we spent six months trying to build a custom solution. We used a combination of natural language processing (NLP) libraries, machine learning models, and a whole host of APIs. The result was a clunky, unreliable system that required more maintenance than it was worth. It was a classic case of over-engineering. I was so focused on building the "perfect" system that I lost sight of what I was actually trying to achieve: to be more productive.
My "perfect" system was a Frankenstein '''s monster of code, a chaotic jumble of scripts and APIs that barely functioned. It was a solution in search of a problem. I had fallen into the classic trap of becoming so enamored with the technology that I had forgotten the purpose.
The Turning Point: From Complexity to Simplicity
The turning point came during a particularly stressful week. I was juggling investor meetings, product deadlines, and a mountain of emails. My "perfect" AI assistant was more of a hindrance than a help, constantly crashing and requiring my attention. I was about to give up on AI altogether when I decided to try a different approach. Instead of trying to build a single, all-encompassing system, I decided to focus on a handful of simple, effective tools that could solve specific problems.
I started by identifying my biggest time-sinks. For me, it was email, scheduling, and writing. I then looked for AI tools that could help me with each of these tasks. I wasn't looking for a "game-changer" or a "paradigm shift." I was looking for simple, reliable tools that could save me a few hours a week.
My Simple, Effective AI Toolkit
Here are the tools that I use every day to manage my life and my business. They're not fancy, but they get the job done.
For Email: Superhuman
I get hundreds of emails a day, and for a long time, I was drowning in my inbox. I tried all sorts of email clients and plugins, but nothing seemed to work. Then I discovered Superhuman. It's an AI-powered email client that helps you get through your inbox twice as fast. It has a bunch of features that I love, like keyboard shortcuts for everything, a built-in calendar, and a "triage" feature that helps you quickly sort through new messages. But the real magic of Superhuman is its simplicity. It's designed to be fast, efficient, and distraction-free. It's not trying to be your personal assistant or your project manager. It's just a really good email client.
For Scheduling: Calendly
Scheduling meetings used to be a huge pain. I would spend hours going back and forth with people trying to find a time that worked for everyone. Then I started using Calendly. It's a simple scheduling tool that lets people book meetings with me based on my availability. I just send them a link to my Calendly page, and they can pick a time that works for them. It's saved me countless hours and a lot of frustration.
For Writing: Grammarly and Hemingway
I do a lot of writing, from articles to emails to investor updates. I'm not a natural writer, so I rely on a couple of tools to help me improve my writing. The first is Grammarly. It's an AI-powered writing assistant that checks your grammar, spelling, and punctuation. It also gives you suggestions on how to improve your writing style. The second tool I use is Hemingway. It's a simple app that helps you make your writing more clear and concise. It highlights long, complex sentences and common errors. I run all of my writing through both of these tools before I publish it.
The 1% Rule: Small Improvements, Big Results
What I learned from my failed AI automation attempts is that the most effective solutions are often the simplest. It's not about building a perfect, all-encompassing system. It's about finding a few simple tools that can help you solve specific problems. It's about making small, incremental improvements that add up over time. I call this the 1% rule. If you can find a way to be 1% more productive every day, you'll be amazed at what you can achieve over the course of a year.
I still believe in the power of AI to change the world. But I also believe that we need to be realistic about what it can and can't do. We need to focus on building simple, effective tools that solve real-world problems. And we need to remember that technology is just a tool. It's up to us to use it wisely.
I'm still experimenting with new AI tools and workflows. I'm always looking for new ways to be more productive. But I'll never go back to trying to build the perfect, all-encompassing AI assistant. I've learned that the secret to AI productivity is to keep it simple. ''' '''
The "10-80-10" Rule for AI-Powered Productivity
I've developed a simple rule that I call the "10-80-10" rule. It's a framework that I use to decide when and how to use AI in my workflow. Here's how it works:
The first 10% is for brainstorming and outlining. I use AI to help me come up with ideas, create outlines, and do initial research. For example, I might use a tool like ChatGPT to brainstorm a list of potential article topics or to create a rough outline for a presentation. This is where AI can be a huge time-saver, helping you to get started and overcome the "blank page" problem.
The middle 80% is for deep work and critical thinking. This is where I do the heavy lifting. I take the ideas and outlines that I've generated with AI and I turn them into a finished product. This is where my own expertise, experience, and creativity come into play. I'm not just mindlessly following the AI's suggestions. I'm using my own judgment to decide what to include, what to cut, and how to structure the final piece. This is the part of the process that can't be automated. It requires focus, concentration, and a deep understanding of the subject matter.
The final 10% is for editing and polishing. Once I have a finished draft, I use AI to help me edit and polish it. I use tools like Grammarly and Hemingway to check my grammar, spelling, and punctuation. I also use them to get suggestions on how to improve my writing style. This is where AI can be a huge help, catching errors that I might have missed and helping me to make my writing more clear and concise.
By following the 10-80-10 rule, I'm able to get the best of both worlds. I'm able to use AI to save time and be more productive, but I'm also able to maintain my own voice and my own unique perspective. I'm not letting the AI do the thinking for me. I'm using it as a tool to help me think better.
A Final Thought: The Future of AI is Human-in-the-Loop
I'm a huge believer in the potential of AI. I've invested in some of the most promising AI companies in the world, and I'm convinced that AI is going to change the world in ways that we can't even imagine. But I also believe that the future of AI is not about replacing humans. It's about augmenting them. It's about building tools that help us to be more creative, more productive, and more effective. It's about creating a future where humans and AI work together to solve the world's biggest problems.
So, if you're feeling overwhelmed by the hype around AI, don't be. You don't need to be an expert in machine learning or natural language processing to use AI to your advantage. You just need to be willing to experiment, to learn, and to find the tools that work for you. And most importantly, you need to remember that technology is just a tool. It's up to you to use it wisely. '''
Frequently Asked Questions
How long did it take to see results?
Most meaningful business results take 3-6 months to materialize. Anyone promising overnight success is selling something. The companies in my portfolio that grew fastest were the ones that stayed patient and consistent.
Can these results be replicated?
The specific numbers will vary, but the underlying patterns and principles are transferable. The key is understanding the context behind the results, not just copying the tactics. Every company has unique constraints that shape what works.
What was the biggest challenge in this case?
Almost always, the biggest challenge is people and alignment, not technology or strategy. Getting the right team focused on the right problem is harder than any technical challenge I've encountered.
What would you do differently looking back?
I'd move faster on the things that were working and cut the things that weren't sooner. Most founders, myself included, hold onto failing strategies too long because of sunk cost. Speed of learning is everything.