ChatGPT with Browse/DALL-E/Code Interpreter

ChatGPT Plus and Team users have access to powerful additional capabilities: web browsing, image generation (DALL-E), and code execution (formerly Code Interpreter, now Advanced Data Analysis). These features dramatically expand what ChatGPT can do.

Overview of Capabilities

Feature	What It Does	Best For
Browse	Searches the internet in real-time	Current events, live data, fact-checking
DALL-E	Generates images from descriptions	Visual content, mockups, creative projects
Code Interpreter	Runs Python code, processes files	Data analysis, calculations, file manipulation

Web Browsing

What Browsing Enables

• Access to current information (news, prices, events)
• Real-time research and fact-checking
• Finding specific URLs and resources
• Verifying claims with sources

Using Browse Effectively

Best Practices for Browsing

Be specific about what you need:

Request sources:

Combine with analysis:

Browse Limitations

• May not access all websites (paywalls, restrictions)
• Results depend on search quality
• Still verify critical information
• Can be slower than ChatGPT's direct responses

DALL-E Image Generation

What DALL-E Can Create

• Illustrations and artwork
• Mockups and concepts
• Marketing visuals
• Diagrams and infographics
• Creative imagery

Effective DALL-E Prompts

Basic image request:

Detailed specifications:

Iterative refinement:

DALL-E Best Practices

1. Be specific about style - Photorealistic, illustration, watercolor, etc.
2. Describe composition - What's in focus, background, perspective
3. Specify colors and mood - Warm, professional, playful
4. Iterate - Refine based on results
5. Use reference styles - "In the style of..." can help

Common DALL-E Uses

Use Case	Example Prompt
Blog header	"Create a header image for a blog post about remote work, showing a laptop in a scenic outdoor location"
Social media	"Design a square Instagram graphic announcing a 20% off sale, modern and minimal"
Concept art	"Illustrate a futuristic city with flying cars and vertical gardens"
Product mockup	"Show a white t-shirt with a simple mountain logo on a wooden hanger"

DALL-E Limitations

• Cannot create text reliably (logos with words)
• Won't generate certain types of content (public figures, controversial)
• Style consistency across images is challenging
• May require multiple iterations

Code Interpreter (Advanced Data Analysis)

What Code Interpreter Can Do

• Run Python code in real-time
• Process uploaded files (CSV, Excel, PDF, images)
• Create charts and visualizations
• Perform complex calculations
• Clean and transform data

Using Code Interpreter

Upload and analyze data:

Calculations and conversions:

File manipulation:

Code Interpreter Best Practices

1. Explain your goal - What do you want to learn or create?
2. Describe your data - What columns/fields does it contain?
3. Request visualizations - Charts make insights clearer
4. Ask for explanation - Understand the analysis, not just results
5. Download results - Save generated files and charts

Common Code Interpreter Uses

Task	What to Ask
Data cleaning	"Clean this dataset: remove duplicates, handle missing values, standardize formats"
Visualization	"Create a bar chart showing monthly sales trends with a trend line"
File conversion	"Convert this Excel file to CSV"
Mathematical modeling	"Based on this historical data, project next quarter's numbers"
Image processing	"Resize these images to 800x600 and compress for web"

Code Interpreter Limitations

• Session files don't persist (download what you need)
• No internet access while running code
• Some libraries not available
• Processing large files can be slow

Combining Capabilities

The real power comes from using features together:

Browse + Analysis

Browse + DALL-E

Code + DALL-E

Choosing the Right Tool

Need	Best Tool
"What's the latest news about X?"	Browse
"Create an image of X"	DALL-E
"Analyze this spreadsheet"	Code Interpreter
"Summarize this PDF"	Code Interpreter
"Find and compare current prices"	Browse
"Generate a logo concept"	DALL-E
"Calculate X from my data"	Code Interpreter

Exercise: Try Each Capability

Practice with each feature:

Key Takeaways

1. Browse for current, real-time information
2. DALL-E for visual content creation
3. Code Interpreter for data analysis and file processing
4. Combine features for complex tasks
5. Provide specifics for better results
6. Know limitations - each tool has boundaries

These advanced features transform ChatGPT from a text assistant into a comprehensive productivity tool. Learn when to use each one, and your capabilities multiply significantly.