Many professionals hear about Claude and assume it's just another chatbot.

In reality, Claude can be used through several different interfaces -- each one offering a different level of capability. Understanding these options helps you move from simply asking AI questions to actually working alongside AI as a co-pilot.

Below is a simple overview of the three primary ways to interact with Claude.

Overview: Claude Interfaces

Figure 1: The three ways to interact with Claude, from beginner to advanced. 

Think of these as levels of capability rather than complexity.

Most professionals start at Level 1 and gradually move toward Level 2.

1. Claude Web Interface

The easiest way to start.

The browser interface at Claude's website allows anyone to begin using AI immediately -- no software installation required.

Typical Uses

• Asking research questions

• Summarizing documents

• Brainstorming ideas

• Drafting emails or reports

• Reviewing spreadsheets or PDFs

What works well

• No setup required

• Supports file uploads

• Good for quick, one-off tasks

Where it falls short

• Work is mostly manual

• Limited automation

• Harder to scale for larger projects

Example for Finance Professionals

Upload a trial balance or CSV export and ask:

"Summarize unusual variances."

"Identify large changes month-over-month."

"Explain potential drivers of margin decline."

This is where most people first experience the power of AI.

2. IDE Integration (Claude inside VS Code)

This is where things become truly transformative.

Instead of chatting in a browser, Claude can assist directly inside Visual Studio Code. This approach allows you to collaborate with AI while building real, reusable tools.

Typical Uses

• Writing Python scripts

• Cleaning large datasets

• Building dashboards

• Automating reporting workflows

• Debugging code

What works well

• Works directly with project files

• Enables automation

• Handles large datasets

• Ideal for analytics and financial modeling

Example for Accounting

Claude can help generate Python scripts to:

• reconcile bank transactions

• classify expenses

• analyze margins by product

• generate KPI dashboards

This is the approach at the heart of PythonMuse -- helping finance professionals move from AI user to AI collaborator.

3. Claude API (Embedding AI in Applications)

The most advanced interface is the Claude API.

This allows developers to integrate Claude into software products, internal tools, or automated workflows.

Typical Uses

• Automated document processing

• Financial analysis platforms

• Custom internal reporting tools

What works well

• Fully automated workflows

• Integrates with internal systems

• Highly scalable

For most finance professionals, the API layer is not the first step -- but it becomes relevant once automation projects grow.

A Simple Mental Model

Try This in 5 Minutes

If you're completely new to AI tools:

1. Open Claude in your browser

2. Upload a small CSV file -- a trial balance or sales export works well

3. Ask:

Identify unusual transactions or large changes month-over-month.

Explain possible reasons.

Then imagine what would happen if that analysis ran automatically every week.

That is the difference between chatting with AI and working with AI inside tools like Visual Studio Code.

The Real Shift

Many professionals think AI adoption begins with asking better prompts.

In reality, the bigger shift happens when you begin working with AI inside your tools.

That is when AI becomes less of a chatbot -- and more of a true co-pilot for analysis, automation, and problem solving.

If you're curious how to take the next step, the hands-on walkthrough in Article 01 shows exactly how this works in practice -- two CSV files, plain English questions, and a real margin analysis built inside VS Code.

By Svetlana Toohey

Related: Where to Start If You're Ready to Work With AI | Your AI Co-Pilot for Accounting