Test-Connection -Mind

How Working with Machines Has Changed the Way I Think
Working with machines rewires you, slowly. It’s not loud. But it happens. When I first started writing scripts and building basic automations, I assumed these tools were just means to an end—shortcuts to get a job done faster. Over time, however, I discovered they were doing more than executing commands: they were reshaping my thought processes.
From Impulse to Logic Trees
In the early days, my creative process was almost entirely impulsive. Ideas would strike like lightning: a burst of inspiration, followed by frantic note-taking or sketching. There was beauty in that spontaneity, but also chaos. When I learned scripting, I began to break problems down into discrete steps. A single task transformed into a series of decisions: "If this condition is met, run this branch. Otherwise, take that action." Before long, even non-programming challenges started to feel like logic trees in my mind. When choosing a restaurant or planning a weekend project, I found myself mapping out if/else scenarios, mapping consequences, and pruning branches for efficiency.
Seeing Patterns Everywhere
Automation tools taught me to notice patterns—those repetitive rhythms hiding in plain sight. Writing a macro to format dozens of spreadsheets made me realize how similar many tasks truly are. I started spotting templates in emails, workflows in team meetings, and loops in daily routines. My brain grew hypersensitive to repetition. Rather than tackling each problem anew, I searched for the underlying pattern I could abstract and automate. This shift didn’t remove creativity; it repurposed it. I now see first how tasks can be generalized, then where human judgment adds nuance.
Sequencing Creativity
Creative work used to feel like an unstructured cascade of ideas. Now, I find myself thinking in sequences: flows, conditions, and triggers. Drafting an article feels like coding a pipeline: outline → research → draft → review → publish. I build in checkpoints and decision points: if the tone feels off, loop back to research; if a section reads well, advance to editing. This doesn’t strip spontaneity—it devices a scaffold that holds creative impulses in place, channeling them toward completion.
Gut and Scaffold
I still trust my gut. There are moments when a flash of intuition outpaces any logical analysis. The difference is I have a scaffold now—a logic framework that organizes and tests my instincts. When I get a hunch, I follow it, but I also know how to validate it: What assumptions underlie this idea? What conditions would prove it right or wrong? It’s like having a debugger for my thoughts, letting me step through my reasoning line by line.
The Reciprocal Relationship
Tools don’t just execute—they shape us. When we build machines to think our thoughts, the experience reverberates back. My mind now mirrors the tools I use: structured, conditional, pattern-aware. This isn’t a passive byproduct but an active dialogue: each script I write and each automation I deploy plants seeds in my neural garden.
What I’m Still Learning
I’m still exploring what this rewiring means for the future of work and creativity. Will we all become more algorithmic in our thinking? Can we preserve human spontaneity in a world of logic scaffolds? As I continue to tinker with tools—AI models, workflow engines, custom scripts—I watch how my mind adapts. And I stay curious about where this journey will lead.
Working with machines changed more than my to-do list; it changed my to-think list. And in that transformation, I’ve found unexpected clarity.