Taking the Journey Public: A Blog, a Category, a Book, and What It Means for Small Business AI

A hand writing in a notebook on a wooden desk.
Turning a private AI journey into a public playbook. Photo via Unsplash (Unsplash License).
Hermes Journey #3

Taking the Journey Public: A Blog, a Category, a Book, and What It Means for Small Business AI

Third in the Hermes Journey series.

Hermes Journey · Public Playbook

The final step in the first Hermes Journey arc: turning a private operating system into public lessons, blog posts, and a practical playbook for small-business AI adoption.

Practical takeaway

You do not need to become a tech company to use AI well. You need a clear workflow, a system that can remember and recover, and boundaries that keep you in control.

For most of this series, the story has been a private one: one consultant, one AI system, a lot of unglamorous plumbing, and a growing conviction that the workflow matters more than the tool.

But at some point, a system you trust starts producing work you’re proud of — and that raises an uncomfortable question: should this stay private, or should other people be able to learn from it?

This final post is about the day I decided to take the journey public. It’s the story of turning a personal AI practice into public content, and the lesson I keep landing on for every small business owner drowning in AI hype: you don’t need to be a tech company to use this well.

Why go public

Why go public at all

Let me be honest about the reluctance first. When you build something that actually works, the temptation is to keep it close. There’s a comfort in being the only one who knows the system’s quirks and workarounds.

But there’s also something selfish about keeping it to yourself. I spent years watching AI content that was all demo and no reality — dazzling showcases with nothing about the messy, day-to-day truth of making a system work. Every time I hit a real obstacle, the advice I found was either too hype-driven or too technical to help an actual business owner.

So I decided someone needed to tell the honest version. And since I was living it, that someone might as well be me.

That’s how the AI Revolution Blog launched — and within it, a category I care about more than any other: Hermes Journey. That’s where I’m writing this story. Not as a polished vendor announcement, but as a lived, first-person account of what it actually takes: the wins, the boring parts, the boundary-setting, the recovery loops, and the occasional genuine surprise.

The point of the category isn’t to show off a system. It’s to give people a realistic map of what “practical AI adoption” really looks like — so they don’t have to make all my mistakes from scratch.

The public form

What the public version actually is

Once I decided to go public, I had to decide what form the story would take. I landed on something that felt right for who I am and who I serve: a mix of ongoing writing and a practical playbook.

The ongoing writing is the Hermes Journey series itself — honest, chronological posts about building the system, the operating layer, and the human-approval philosophy behind it. It’s content that gets more useful as it accumulates, the way any real journey does.

And then there’s the Hermes Setup book. This was the moment I realized the journey had become something more than a diary.

A series of blog posts is a trail of breadcrumbs. A setup guide is a real map. As I kept rebuilding and improving the system — memory, skills, tasks, voice, channels, dashboards — I noticed that the patterns I was using were repeatable. Not the specific configuration, but the approach: how to start small, how to encode a routine, how to set an approval boundary, how to build trust over time.

That’s when I decided to write it all down as a proper playbook. Not a technical manual full of jargon — a practical, human guide to setting up an AI assistant that fits how you actually work.

Note: The playbook is still taking shape, and I’ll update this series as it firms up.

The honest lessons

The honest bits: what public has taught me

Going public changed the journey in ways I didn’t fully expect. Three of them mattered most.

First, writing forces honesty. The moment you publish, you commit to a version of the truth that’s public and permanent. That’s uncomfortable — and it’s good. It pushes me to actually verify what I claim instead of repeating what sounds nice.

Second, teaching is the fastest way to learn. Explaining why a memory layer matters, or why a recovery loop beats a to-do list, or why the approval boundary is non-negotiable — that made me understand my own system better than building it ever did.

Third, the audience changed my framing. I started out talking to consultants like me. But the more I wrote, the more I realized the real audience is broader: small business owners, independent professionals, and team leads who are hearing “you must adopt AI” from every direction and have no idea what that means in practice.

Not “adopt AI because it’s cool,” but “adopt AI because it can genuinely catch what you’d drop and handle the parts that drain you.” The difference is whether you set it up with boundaries you trust.

What it means for small business

What this means for small business AI

Here’s the message I most want to land, and it’s the reason I think this journey matters beyond my own desk.

The dominant narrative around AI right now is that it’s for big tech, or for people with engineering teams, or for early adopters with endless patience. I think that’s wrong. The most powerful thing I’ve learned building Hermes and Storm is that the approach — the workflow, the boundaries, the recovery loops, the relationship between a person and a system — is exactly what a small business or solo operator can use to punch way above their weight.

The tools are increasingly within reach. The method is what’s missing. And the method doesn’t require a data science team. It requires the same thing running a good business always has: clarity about what matters, honesty about what you don’t know, and the discipline to set boundaries so automation works for you instead of on you.

That’s the real promise of practical AI adoption. Not magic. Not job replacement. Just a genuinely useful colleague who remembers, follows through, catches misses, and always knows when to come back and ask.

Where we go from here

Where we go from here

The Hermes Journey is just beginning. The blog is live, the category is growing, and the setup playbook is taking shape — all of it an attempt to give other people a realistic on-ramp to the same kind of system I built.

If there’s one thing I want you to take from these three posts, it’s this: you don’t need to be an AI enthusiast or a programmer to build something that helps you every day. You need a clear idea of what you want, a system that remembers and learns, and a boundary that keeps you in control.

That’s it. That’s the whole secret. And it’s a lot more attainable than the hype would have you believe.


Ready to take your own AI journey public?

Thanks for following the Hermes Journey this far. The story doesn’t end here — and it isn’t mine alone. Here’s how to stay close and build something of your own:

  • Follow the Hermes Journey category as it grows — honest, first-person posts on practical AI adoption. Explore the Hermes Journey.
  • Subscribe to the AI Revolution Blog for every new article, series, and resource as it ships.
  • Subscribe to Found Friday — a weekly roundup of the most practical AI finds, delivered to your inbox.

Both subscriptions live on one page: subscribe to the AI Revolution Blog and Found Friday here.


Want a practical AI assistant that fits how you actually work?

If you’re a consultant, owner, or team lead tired of demos, let’s talk about turning AI from a buzzword into a trusted part of how you operate — one workflow and one boundary at a time. Reach out through the AI Revolution Blog.

Continue the Hermes Journey

A few more Hermes Journey posts from around the blog.