You've just completed Week 2 of the ChatGPT Course. Over the past seven days, you've learned to generate and edit images, collaborate in Canvas, have voice conversations, create videos with Sora, write professionally, and analyze data with Code Interpreter.
That's not a list of features. That's a complete creative toolkit — one that replaces a half-dozen separate apps and puts everything in a single interface. Today we'll recap what you've learned, show you how to combine these tools into powerful workflows, and set you up for Week 3.
Here's a quick summary of what you now know how to do:
Day 8 — Image Generation & Analysis — You can create images from text descriptions using DALL-E, analyze uploaded images (screenshots, charts, documents), and edit images through conversation. You learned the prompt formula: subject, setting, style, lighting, composition, color, and mood.
Day 9 — Canvas — You discovered ChatGPT's side-by-side workspace for writing and coding. You learned inline editing, tone adjustment, reading level controls, and how to export in multiple formats (PDF, Word, Markdown, code files).
Day 10 — Voice Mode — You learned to have hands-free conversations with ChatGPT across mobile, desktop, and web. You explored use cases like commuting, cooking, and exercising. You discovered Record mode for capturing meetings and turning recordings into structured documents.
Day 11 — Video Generation with Sora — You learned to create HD 1080p video clips up to 60 seconds using Sora 2. You explored Character Cameos for consistent characters and Video Stitching for narrative storytelling across connected scenes.
Day 12 — Writing Like a Pro — You mastered the generate-critique-refine workflow for professional emails, blog posts, and social media content. You learned the multi-platform adaptation technique for creating content across LinkedIn, X, Instagram, and more.
Day 13 — Code & Data Analysis — You learned to use Code Interpreter to upload data files, run analysis, and generate presentation-ready charts and visualizations — all without writing code yourself.
The individual features are useful on their own. But the real power comes from combining them into workflows that accomplish in minutes what used to take hours across multiple apps.
Workflow 1: Research to published article
1. Use ChatGPT's browsing to research a topic and gather key facts
2. Brainstorm angles and create an outline in the chat
3. Open Canvas and write the full article section by section
4. Generate a header image with DALL-E to accompany the article
5. Export the article as Markdown and the image as PNG
6. Publish to your blog
Workflow 2: Data to board presentation
1. Upload your data CSV to Code Interpreter
2. Ask for analysis and generate presentation-ready charts
3. Use Canvas to write an executive summary of the findings
4. Generate a professional cover slide image with DALL-E
5. Export everything and assemble your slide deck
Workflow 3: Video content campaign
1. Write your script in Canvas with tone and audience adjustments
2. Generate video clips with Sora using Character Cameos for a consistent spokesperson
3. Create thumbnail images with DALL-E
4. Adapt the script into social media captions for each platform
5. Export everything for scheduling and publishing
Workflow 4: Client proposal
1. Research the client's industry and challenges using browsing
2. Draft the proposal in Canvas with professional formatting
3. Upload your pricing data and generate comparison charts with Code Interpreter
4. Export as a polished PDF
Each of these workflows would previously require switching between 3-5 separate applications. Now it all happens in one interface.
Let's be specific about what ChatGPT's creative toolkit replaces:
Before ChatGPT (5+ separate tools):
- Canva or Photoshop for image creation and editing
- Google Docs or Word for document writing and collaboration
- Excel or Google Sheets for data analysis and charts
- Premiere Pro or CapCut for video creation
- Buffer or Hootsuite for social media content creation
After ChatGPT (1 tool):
- DALL-E replaces basic image creation
- Canvas replaces document drafting and editing
- Code Interpreter replaces spreadsheet analysis and chart generation
- Sora replaces basic video creation
- Chat replaces content adaptation for social media
This doesn't mean you should delete all your other apps. Specialized tools still excel for specialized tasks. But for the 80% of creative work that most professionals do — first drafts, quick visuals, data summaries, social posts, short videos — ChatGPT handles it all in one place.
The shift is from tool-switching to conversation-flowing. Instead of exporting from one app and importing into another, you simply continue the conversation.
What's coming in Week 3 — Advanced Features:
Next week, we dive into ChatGPT's most powerful capabilities:
- Deep Research — comprehensive, multi-source research reports
- Custom GPTs — building specialized AI assistants for specific tasks
- Memory and personalization — how ChatGPT learns your preferences over time
- The GPT Store — discovering and using GPTs built by others
- Automation and integrations — connecting ChatGPT to your existing workflow tools
These features take you from using ChatGPT as a tool to using it as an intelligent system that adapts to how you work.
Today's challenge:
Create one piece of content that uses at least 3 ChatGPT features from this week. Here are some ideas:
- Write a blog post in Canvas, generate a header image with DALL-E, and adapt the post into social media captions
- Upload a data file to Code Interpreter, generate charts, and write an executive summary in Canvas
- Use Voice Mode to brainstorm an idea, write it up in Canvas, and generate an accompanying video concept with Sora
- Draft a client proposal in Canvas, create a professional visual with DALL-E, and export as PDF
The goal is to experience the combined workflow — not just individual features. When you see how smoothly they work together, you'll understand why this is called a toolkit, not just a chatbot.