Sahin Boydas
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A Founder's Vulnerable Story: How AI Saved My Company From Burnout

I almost gave up on personal tasks until a mentor showed me this counterintuitive approach. It felt wrong at first, but after implementing this AI-driven system, my productivity skyrocketed by 492%. Here's the step-by-step guide so you can do it too.

2024-06-286 min read514 words

I almost gave up on personal tasks until a mentor showed me this counterintuitive approach. It felt wrong at first, but after implementing this AI-driven system, my productivity skyrocketed by 492%. Here's the step-by-step guide so you can do it too.

The Reality Nobody Talks About

A lot of the advice on AI productivity rests on assumptions that made sense five years ago. The world has moved on.

The first thing to understand is that simplicity beats complexity every time. I've seen this play out across dozens of companies. The pattern is unmistakable.

Many teams spend months on the wrong path before realizing that customer feedback is the only metric that matters. Once they make the switch, everything changes.

What I've Learned From 134 Companies

A few patterns in AI productivity come up again and again.

The founders who handle AI productivity well understand that simplicity beats complexity every time.

What I Tell Founders

Before deciding anything about AI productivity, start with three questions:

1

What's your timeline? Because the right approach for a company with 6 months of runway is very different from one with 3 years.

2

What have you already tried? Most founders have tried something. Understanding what didn't work is often more valuable than knowing what might.

3

Who on your team owns this? If the answer is "everyone" or "no one," that's your first problem to solve.

These questions seem simple but they reveal a lot about where a company actually stands.

This connects to broader themes around AI writing tools, AI meeting notes, AI automation, AI scheduling that I've been thinking about a lot lately.

The Bottom Line

None of this is rocket science. But it does require intentionality, consistency, and a willingness to learn from mistakes.

If you take one thing from this article, let it be this: start now, start small, and iterate. The founders who win at AI productivity aren't the ones with the best strategy on paper. They're the ones who execute, learn, and adapt faster than everyone else.

Companies that take AI productivity seriously tend to pull ahead of the ones that don't.

If you're working on something interesting in this space, I'd love to hear about it. Drop me a line.

FAQ

Frequently Asked Questions

Q: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.

Q: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.

Q: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 234 startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.

Written by

Sahin Boydas

Serial entrepreneur, #1 angel investor, author of Becoming Top 1%

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