AI actually makes you more patient

I sat in a paid MindStudio workshop this week. Four hours. Foundational content on building AI workers and agents.

Within forty-five minutes, people were calling it a waste of time. They wanted to skip the foundation. They wanted the tactics. They wanted the silver bullet that YouTube didn't give them. Some of them got genuinely belligerent about it.

I was light years ahead of most of the people in that room. And I stayed the entire time. Still willing to learn. Still willing to say I don't know.

What people are missing about AI

The dominant narrative is that AI is about speed. Instant answers. Instant content. Instant results. And the people who buy that narrative are the same ones who can't sit through forty-five minutes of foundational instruction before demanding tactics.

But the people who will actually own what's coming? They're the ones who are okay not knowing yet. The ones who stay in the tools when they break, not just when they work beautifully. The ones who treat daily AI practice like reps at the gym. The muscles show for it.

AI has increased my patience. Over five hundred consecutive days in these tools and I'm more patient than when I started. Because the practice demands it. Context windows get cluttered. Feedback loops. Model differences you have to learn through experience. None of that rewards impatience. All of it rewards reps.

And the people getting frustrated seem to be forgetting what came before. Remember writing a newsletter and blog post from a blank page? Or spending hours on Stack Overflow debugging one script? Or manually researching a client's entire industry for half a day before a single call? That was the norm. And somehow a context window getting cluttered after thirty minutes of deep work is the thing that breaks them.

Patience is your friend. The people who internalize that are building infrastructure right now. The people who can't sit still are still looking for shortcuts that don't exist.

Some parts still need more reps

Here's the other thing I learned that week.

AI video editing is really hard.

Shorts? Absolutely. I can produce a lot of those with AI. HeyGen generates the talking head. Captions get added. Done. The volume play on short-form was solved for what I needed.

But high-quality, YouTube-ready, long-form video? It wasn't there yet. Not the way I wanted it.

I tried everything I could find at the time. Mosaic. The Opus Clip b-roll generator. Claude Code with Remotion. Every tool that claimed to automate video editing from a script.

Did I have something that was postable and better than my Season 1 videos? Yes. Was it the quality I wanted it to be? Not yet.

So I took the time to work out the kinks and figure out an automated video-editing workflow. Even if that meant the videos weren't perfect right then. They were already an improvement from Season 1 and I didn't record a single one of them. That counted.

The episodes were still delivered by my AI avatar. The content pipeline still ran on AI. The editing workflow would get there. I wasn't going to wait for perfection to publish. I was going to publish while I iterated.

That's building in public. Being in the tools when they break, not just when they work beautifully. Some things are fully automated. Some things are ninety percent there. Some things need more reps. The skill is knowing the difference and shipping anyway.

The actual opportunity in AI isn't the tools. It's the patience to stay in them long enough to build something real.

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