March 11, 2026

Many finance professionals are experimenting with AI tools like Claude — but one thing I’ve noticed is that most people don’t realize how much the interface you use actually changes what AI can help you do.

In my latest PythonMuse article, I walk through the three primary ways to use Claude — from simple chat, to working alongside AI inside tools like Visual Studio Code, all the way to building automated workflows.

Understanding this progression can help finance professionals move from just asking AI questions → to actually working with AI as a co-pilot.

If you're curious where to start (or what the next step looks like), this article breaks it down.

No one formally taught us Excel.

We learned by watching others, picking up shortcuts, and using it every day.

AI in accounting is the same.
It’s not about taking a class — it’s about building rhythm.

In this article, I walk through how two CSV files and plain English questions revealed a margin crisis in under 10 minutes — and how to turn prompts into reusable automation.

If you're experimenting and want to compare notes, I’m here to help.

It took me seven years to open the tools that changed how I work — you don’t have to wait that long. Here’s the practical roadmap I wish I had when I started exploring AI in finance. 

AI is everywhere—but deciding where to invest your time and skills is harder than ever.

In this introductory post, I share my journey through automation tools, AI copilots, and experimentation—and why I ultimately chose Python as a durable, practical foundation for accounting and finance. This is the story behind Python Muse and what I plan to build next.