Issue No. 13 - September 1, 2026

There's a course for everything now. AI for beginners. AI for operators. AI power users. AI mastery. Become an expert in a weekend. Get certified. Get ahead.

I've skipped all of them. Deliberately.

That's not because I think learning is a waste of time. It's because the framing is wrong. "Mastery" implies a destination. A body of knowledge you work through, complete, and then apply. That model works for a lot of things. It doesn't work for this.

The instructions advice that was gospel six months ago is being walked back now. The platforms that didn't exist last year are the ones worth paying attention to today. The frameworks circulating right now will look different by the time a course about them is written, produced, edited, and published. The space is moving faster than any curriculum can keep up with.

What I've noticed is that the people staying most current aren't the ones with the most certifications. They're the ones who built a practice of staying in motion. They found a small number of voices they actually trust and stayed close to them. They read. They tested. They adjusted. They didn't wait until they felt ready, because ready stopped being a useful milestone somewhere around 2023.

Curation is the skill. Not AI mastery. Knowing who to pay attention to, and why, is harder than any course makes it sound. The voices worth following aren't the ones with the cleanest frameworks or the most confident takes. They're the ones who are honest about what they're still figuring out. That's what makes the information usable, because it reflects what's actually true at any given moment rather than what was true when someone decided to package it up and sell it.

I started The Muddy Middle because I needed somewhere to document the figuring-out, not the figured-out. That distinction matters more now than it did when I started. There's more noise. More polish. More confidence from people who may not have earned it yet. The honest accounts are getting harder to find, which means they're also getting more valuable.

You don't need to master AI. You need to stay current with it. Those are different goals, and they require different approaches.

Where this lands in the three buckets

Immediately actionable: Look at your current AI learning inputs. Are they teaching you a fixed skill set, or keeping you in motion? If it's mostly courses and tutorials, add at least one voice that's documenting the journey in real time rather than packaging conclusions. The figuring-out is the useful part right now.

Start thinking about: The difference between learning AI and staying current on AI. The first has an endpoint. The second doesn't. Most of what's being sold in this space is optimized for the first. What you actually need is the second.

Next phase: A small, curated set of inputs you actually consume consistently. Not a reading list. Two or three sources that give you something useful to apply to your specific work on a regular basis. Quality and consistency beat volume every time.

Meghan Brenner is COO at JB Sales and founder of The Operator's Notebook. The Muddy Middle publishes every Tuesday.