ai-ledger

Python Muse – AI Getting Started Toolkit

A Practical Checklist for Finance & Accounting Professionals

STEP 1: Build Your AI Foundation (Mindset First)

Read Scary Smart: The Future of Artificial Intelligence by Mo Gawdat
Reflect: How does AI actually learn?
Identify 3 ethical considerations relevant to your role
Write down 3 ways AI could improve your current workflow
Commit to experimenting – not mastering – in the first 30 days

Goal: Understand AI before trying to optimize with it.

STEP 2: Install the Core Tools

Download and install Visual Studio Code
Open it (yes, that counts)
Explore the folder structure view
Create your first project folder
Install the Python extension inside VS Code

Goal: Get comfortable navigating your files in a structured way.

STEP 3: Install Python

Download Python from python.org
During installation, check “Add Python to PATH”
Verify installation using Command Prompt (python --version)
Connect Python interpreter inside VS Code
Create and run your first simple .py file

Example first file:

print("Hello, AI world.")

Goal: Remove fear around “developer tools.”

STEP 4: Connect AI to Your Workflow

Activate Microsoft Copilot (if available in your organization)
Or subscribe to a productivity AI tool you’ll actually use
Practice rewriting one email using AI
Improve one Excel formula using AI assistance
Document one process with AI help

Goal: Move from curiosity to daily usage.

STEP 5: First Automation Project (Keep It Small)

Choose ONE:

Automate a repetitive Excel cleanup task
Generate a recurring financial report using Python
Create a simple script that renames files in bulk
Build a basic CSV data summary
Draft a reusable AI prompt library for your team

Rule: Start small. Finish something.

30-Day Commitment Plan

Week	Focus
Week 1	Read + Install
Week 2	Practice Python basics
Week 3	Connect AI tools to daily work
Week 4	Complete one automation

Common Myths (Debunked)

Myth	Reality
“This is only for developers.”	AI amplifies professionals who understand how to use it.
“I’m too late to start.”	Structure beats hype.
“AI will replace me.”	Small experiments beat big intentions.

Personal Reflection Section

What task wastes the most time in your current role?
What would “10% more efficiency” look like for you?
What’s stopping you from starting?

Final Reminder

You don’t need to become a programmer.

You need to become:

Comfortable with tools
Curious about automation
Intentional about ethics
Willing to experiment

That’s it.

By Svetlana Toohey

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