In this episode, I unpack a tension I’ve been feeling more and more as AI becomes part of my daily workflow.

AI has become incredibly useful. It helps with content, software development, problem solving, and all sorts of work that used to take much longer. In many cases, it feels almost magical. But there’s a catch.

Used carelessly, AI can make us faster while also making us lazier in the ways that matter most.

This episode is about that hidden downside. Not because AI is bad, but because it changes how we work. And if we don’t update our process along with the tools, we risk skipping the thinking that builds real competence.

I talk about this mostly from the perspective of software development and running a software business, but the same lessons apply to coaching too. Whether you’re using AI to write training plans, athlete messages, content, or admin workflows, the risk is similar: AI can produce solid output, but it can’t fully replace context, judgment, or oversight.

The real problem isn’t that AI makes mistakes. The real problem is that it can make it easier for us to approve work we haven’t properly interrogated.

That’s where bad habits creep in.

In this episode, I explore why speed can hide weak process, why review is not the enemy of speed, and why AI is starting to feel less like a tool and more like an employee or collaborator. And if that’s true, then it needs to be managed the same way we’d manage a team member: with direction, oversight, review, and feedback.

The conclusion is simple: the answer isn’t to use less AI. The answer is to build a better workflow around it.

In this episode, we cover:

Why AI can improve productivity while quietly weakening judgment
The danger of confusing fast output with finished work
How AI fills in gaps when it lacks context — and why that matters
The hidden risks of skipping review and testing
Why competence is built through process, not just outcomes
The idea of treating AI more like a team member than a tool
How coaches and business owners can use AI responsibly without losing their edge

Key Takeaway:

AI is powerful, but it still needs management. The goal isn’t blind trust or fear. It’s better process, better review, and more deliberate thinking.

“Review is what makes speed sustainable.”

Why this matters for coaches:

If you’re using AI to help with programming, communication, content, or business systems, this matters just as much for you as it does for developers. AI can save time, but it can also create a false sense of confidence. The coaches who benefit most will be the ones who combine AI speed with human judgment.

🎥 Watch the video

👁️‍🗨️ Read the blog version of this episode

Training Tilt is an all in one coaching and e-commerce platform that helps coaches get better results for the clients and their businesses. You can learn more about Training Tilt here