Better Or Just Busier?

Welcome back to Founder Mode!

Last Thursday, Jason and I skipped the guest list and talked about what we've actually been seeing inside companies that use AI every day.

One conversation from the past week kept coming back to me.

I asked several companies one simple question:

"What's your stack?"

Most couldn't answer it.

Some said, "That's a question for our CTO."

One company that claimed to be AI-powered turned out to be two outsourced call centers manually passing WAV files between humans.

It looked like AI.

It wasn't.

That conversation reminded me that AI isn't about having the newest model.

It's about building systems that actually work.

Let's get into it.

1. Stop Chasing the Brain. Build the Nervous System.

Everyone wants to build the next foundation model.

Very few people are building the systems that connect AI to real businesses.

As I said during the episode:

"The foundation models are smart enough. Unless you're doing incredibly hard things, it usually doesn't matter."

The real opportunity isn't competing with OpenAI or Anthropic.

It's helping manufacturing companies.

Healthcare practices.

Construction firms.

Accounting offices.

Every day, businesses that don't have AI engineers sitting around.

The money isn't in building a smarter brain.

It's in connecting the brain to real work.

2. AI Doesn't Replace Taste

One thing I've learned this year is that AI gets you close.

It rarely gets you all the way there.

The missing piece is still human judgment.

When I'm reviewing marketing campaigns or product ideas, AI often gets me 90% of the way.

The last 10% matters.

That final layer is fixing mistakes.

Improving wording.

Removing weak ideas.

Keeping what actually works.

As I said during the episode:

"Taste and error correction are the moat."

That's becoming more valuable, not less.

3. Every Company Needs an AI On-Ramp

A lot of companies still don't know where to begin.

The good news is they don't need to rebuild everything overnight.

I think there are two easy places to start.

First, improve the output.

Take something your team already creates and simply ask AI how it could improve it.

Second, improve the input.

If employees open three different systems every morning, connect them so AI can gather the information automatically.

Those two changes alone create momentum.

Once people see AI helping with real work, they naturally start finding bigger opportunities.

4. AI Makes Testing Cheap

One thing Jason shared really stood out.

He built an entire AI outbound campaign.

It generated meetings.

It generated podcast guests.

It generated activity.

It generated zero revenue.

The lesson wasn't that AI failed.

The lesson was that AI made it incredibly inexpensive to test an idea.

That's valuable.

You learn faster.

You kill bad ideas faster.

Then you spend your time on the ideas that actually work.

Speed matters.

But learning matters more.

5. Human Experiences Become More Valuable

If AI keeps driving the cost of software, content, and automation toward zero, something interesting happens.

Human experiences become more valuable.

Live events.

Personal conversations.

Handwritten notes.

Real relationships.

Those things become premium because they're harder to automate.

As I said during the episode:

"AI drives the cost of everything to zero. And then the human premium is going to go up."

That's worth remembering.

Technology changes.

Trust still wins.

Final Thoughts

Everyone is talking about models.

Very few people are talking about systems.

The companies that win over the next few years won't necessarily have access to better AI.

They'll simply organize it better.

They'll connect it to real workflows.

They'll use it to remove friction.

And they'll keep humans focused on the work that only humans can do.

That's where I think the biggest opportunity is.

5 Key Takeaways

Don't compete with foundation models. Connect them to real businesses.
AI gets you close. Human taste and error correction finish the job.
Start with simple AI improvements before trying to rebuild everything.
AI speeds up experimentation, but you still need to validate what works.
As automation becomes cheaper, authentic human experiences become more valuable.

🎧 Listen to Episode 64 here: