Embracing the Assistant: How AI Fits Into My Daily Stack
Before we dive into a piece about AI, I want to state that the climate impact shouldn't be considered when reading this. I'll have a whole other think piece on that. Plus, I'm vegan. So, not only am I better than you, I'm offsetting my carbon footprint.
There’s a lot of noise right now about what artificial intelligence is, what it isn’t, and what it’s going to take from us. But when you spend your days navigating the human side of business and your evenings tinkering with server racks and code, the reality of AI looks a lot less like a sci-fi dystopia and a lot more like a highly capable, always-on collaborator. My workflow relies heavily on the Google ecosystem, and the recent integration of AI tools has completely shifted how I tackle projects. For example:
Opal
For everyday automation and task-switching, custom AI personas are invaluable. Having specialized AI mini-apps helps me cut through the busywork and get straight to the fun, creative, work.
NotebookLM
When working on dense, research-heavy projects, NotebookLM acts as a synthetic research assistant. It allows me to upload a mountain of source material and instantly query it.
Where AI really gets interesting for me is when it bridges the gap between software and the physical world.
I run a fairly robust home lab on enterprise hardware, which gives me the computing power to self-host and experiment. But my favorite application of this tech isn't entirely digital. I am currently building a AI-integrated housing structure. Using AI to monitor environmental controls, individual tracking, and habit automation is the perfect intersection of physically building and high tech.
My Philosophy on AI Adoption
- Augmentation, Not Replacement: AI should eliminate the friction in our workflows, not the human element.
- You should hire those who are strategic and offload the administrative / lower level work to AI.
- Accountability Remains Human: You can outsource the drafting, the coding, or the data synthesis to an AI, but you cannot outsource the accountability.
- If I use an AI tool to help develop a workshop or draft a policy, I still own the final output.
- Continuous Learning is Non-Negotiable: The tools are moving fast. Being an adopter means being a perpetual student. The willingness to jump into a new IDE, learn how to prompt effectively, and understand the underlying mechanisms is what separates those who use AI as a gimmick from those who use it as a true multiplier.
The Financial Reality of the Cutting Edge:
As much as I lean on Gemini and other tools for my personal projects and high-level structural thinking, I draw a hard line when it comes to my day job. I strictly comply with corporate data policies and never expose proprietary company information or sensitive data to public AI models. At work, we are restricted to the approved enterprise Copilot environment which, candidly, leaves a lot to be desired right now. But maintaining that strict boundary is crucial; you have to know when to leverage the open ecosystem and when to keep the vault locked.
The Only Constant is Change
If there is one absolute truth in all of this, it's that my workflow today will not be my workflow tomorrow. The way I use AI now is fundamentally different from how I approached it even a year ago. As the technology continues its rapid, relentless evolution, I fully expect my methods, my tools, and my viewpoints to shift right alongside it.
AI isn't magic; it's a tool. And like any tool, its value comes entirely from the hands, and the mind, wielding it, staying curious, and adapting to whatever comes next.