A lot of people think the hardest part of AI is learning the tools.
I don’t think that’s true anymore.
I think the hardest part is figuring out what actually deserves your attention.
Every day there’s another tool. Another workflow. Another expert telling you you’re already behind.
And somewhere in the middle of all of it, business owners are quietly trying to answer questions like:
Is this actually useful for me?
Am I overcomplicating things?
What happens if I build my business around the wrong system?
How do I experiment without turning my entire business upside down?
That’s the space DigiNav Compass was built for.
The problem usually wasn’t the technology. It was the pressure around it — pressure to adopt tools before understanding whether they actually fit. The more noise there was, the harder it became to hear your own thinking. So instead of chasing every new thing, I started paying attention to the decision underneath the tool: what actually fits, and what just looks impressive.
You’ll probably feel at home here if:
you’ve ever spent three days researching tools instead of making a decision
you’ve implemented systems that technically worked but drained your energy
you’re tired of advice that assumes every business should operate like a startup
you want to use AI thoughtfully without turning your business into a productivity experiment
✳︎ ✳︎ ✳︎
Most of what I write here meets you at one of four moments:
Something feels off
Everything looks fine on paper, but it doesn’t feel right. Naming what’s actually happening before deciding anything.
I need to decide
A tool, a method, a piece of advice is sitting in front of you. Figuring out what fits before you commit.
What am I missing?
The work is solid but something isn’t connecting. Finding the piece that’s absent — it’s usually context, not effort.
Why isn’t this working?
You built it. You tried it. It’s not holding up. Looking at what’s actually going wrong instead of starting over.
✳︎ ✳︎ ✳︎
What You’ll Get by Subscribing
Free subscribers receive The Weekly Signal—honest experiments and practical insights on AI and automation, along with access to the free archive.
Paid subscribers get everything included with a free subscription, plus deeper breakdowns, behind-the-scenes experiments, practical subscriber-only resources, and access to the Decision Toolkit.
✳︎ ✳︎ ✳︎
If you’re new here, start wherever you actually are:
Something still off, even though nothing’s obviously wrong? → Something feels off
Weighing a tool, a method, or someone’s advice? → I need to decide
Working hard but something isn’t connecting? → What am I missing?
Built it, tried it, and it’s not holding up? → Why isn’t this working?
Each one points to a recent piece worth reading first. You don’t need to figure all of this out at once. Most good decisions don’t come from moving faster. They come when the noise settles enough to think clearly again. That’s what I’m exploring here. Glad you found your way in.
