How I Use AI in My E-commerce Consulting Practice Every Day

If you didn’t know, I’m really into AI. Over the past few years, it’s become an indispensable part of my daily AI has become genuinely embedded in how I work — not as a novelty, but as a tool I reach for multiple times a day across different kinds of tasks. Here’s an honest account of where it’s useful and where I’m still deliberate about not leaning on it too heavily.

Writing and communication

The most consistent use case is cleaning up dictated text. I often capture thoughts while I’m driving or between calls — rough voice notes that get the idea down but aren’t ready to send. Running those through AI produces a clean draft in seconds that I can review and send with minor edits. For blog posts, I’ll sketch out a structure or a few key points and use AI to build a first draft around that skeleton. The output always needs editing — my voice is specific enough that AI-generated drafts read like a starting point, not a finished piece — but the starting point is genuinely useful.

Code and debugging

I use AI for syntax checks, debugging support, and talking through implementation approaches before I start writing code. It’s a fast way to catch errors I might have spent an hour tracking down. That said, I’m deliberate about not outsourcing the thinking itself. There’s a real risk of cognitive atrophy when you use AI as a first resort for every technical problem. I try to work through problems myself first and use AI as a check rather than a starting point.

Financial and operational planning

When my family was working through the financial planning for buying a new home, I used AI to model different scenarios based on our current equity, mortgage rate, savings, and investment position. It asked clarifying questions, worked through the implications of different approaches, and helped me build a step-by-step plan that I could then review with our financial advisor. Complex, multi-variable problems where you know what you want to figure out but not exactly how to structure the analysis — that’s where AI earns its keep.

Where I draw the line

AI is good at pattern completion and first drafts. It’s less good at judgment, context, and strategic thinking that comes from understanding a specific business deeply. For client work, I use it to accelerate execution, not to replace thinking. The recommendations I make are still mine — informed by experience and accountable in a way that AI-generated advice isn’t.