No more wasting hundreds of hours creating PowerPoint presentations.
Here’s how to do it in a few minutes:
Step 1: Go to ChatGPT:
Use Prompt:
"Give me a VBA code that creates an 8-slide PowerPoint presentation on [Topic] You can run this code in the Visual Basic for Applications (VBA) editor in PowerPoint. " chatgpt.com
Step 2: Add Code in PowerPoint
- Open PowerPoint, go to 'Options'
- Choose 'Customize Ribbon' and check 'Developer'
- Click 'Developer' > 'Visual Basic'
- Insert 'Userform'
- Click 'Modules', paste code, and play
- Design your template
“Act as a senior communication specialist. Rewrite this email to sound professional, clear, concise, and polite while keeping my original intent. Improve tone, structure, grammar, and flow. My email: [paste email].”
2. The Perfect Cold Email
“Write a persuasive, short, high-impact cold email for this purpose: [insert purpose]. Include a strong hook, value proposition, credibility, and a simple CTA. Make it sound human, confident, and non-salesy.”
STOP TELLING CHATGPT TO "CREATE A PRESENTATION FOR ME".
Bad prompt = Bad result.
Use these prompts instead and see the magic:
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1. The Complete Presentation Builder
“Create a complete, slide-by-slide presentation on the topic: [insert topic]. Include title slides, key points, examples, data, metaphors, visuals suggestions, and a closing call-to-action. Structure it with storytelling flow.”
2. The Deep Research Presentation
“Create a full presentation on [insert topic] using deep research. Include real statistics, case studies, expert quotes, practical insights, and examples. Make each slide educational, engaging, and backed by credible sources.”
Here are 10 AI courses you don't want to miss in 2026
1. Introduction to Computer Science and Programming Using Python.
Topics:
• A Notion of computation
• Python programming language
• Some simple algorithms
• Testing & debugging
• Informal introduction to algorithmic complexity
• Data Structures
- ML problem principles
- Implement & analyze models
- Choosing suitable models for different apps
- ML project implementation: Training, validation, tuning, and feature engineering