How to Use Gamma AI for Presentations: A Step-by-Step Guide

In the tutorial, Gamma was used to create a presentation, but the dashboard also offered other formats: webpages, documents, and social media posts. For presentation work specifically, the main benefit is speed: you start with a topic, let Gamma build an outline, and then refine the result instead of formatting every slide manually.

Julian also showed that Gamma is not locked into a single draft. You can edit text, swap images, add new cards with AI, insert charts and tables, and export the finished file if you need to keep working elsewhere.

After signing up, you land on the Gamma dashboard. In the video, Julian notes that you can start for free and choose your language at the beginning.

To create something new, click to start a new project. Gamma then gives you several input options:

• Paste in text
• Import a file
• Import a URL
• Generate from a prompt

For many users, the prompt-based route will be the fastest. Julian also points out that pasting an essay can be useful for school projects, since Gamma can turn existing written work into a presentation draft.

Before generating the deck, Gamma asks you to set a few basics. In the demo, these included:

• Number of cards
• Page style
• Language
• Content density
• Theme
• Image source

Julian says the free version allows 8 to 10 cards. He had upgraded to Pro, and he also mentions a Premium option that can generate 25 cards. For his example, he chose eight cards, which is enough for many short school or business presentations.

For layout, Gamma offered:

• Fluid pages, with smaller and larger sections
• A more traditional 16:9 ratio

If you are comparing Gamma with PowerPoint, this is one of the first differences: Gamma asks you to think in “cards” and page styles first, then handles much of the structure automatically.

If card limits matter for your project, this related guide on how to get free Gamma AI credits may help you plan around the free tier.

For the walkthrough, Julian deliberately used a simple school scenario. His prompt was:

Give me a presentation about the five biggest national parks in the US and which one to choose for our next school trip. We are based in Los Angeles.

Gamma quickly generated an outline. Julian says he is usually happy with the outlines it creates, and in this example he kept the structure mostly as-is. If you want another section before generating the full deck, you can add another card at this stage.

Gamma also lets you decide how much text should appear on each card. The options shown were:

• Minimal text
• Concise
• Very detailed

For this school example, he chose concise.

After approving the outline, Julian selected a lighter theme. He chose a green sage look because it fit the national parks topic, but he also notes that themes can be changed later.

For images, Gamma offered three approaches:

• AI-generated images
• Stock photos from Unsplash
• Automatic, which can mix stock photos, AI images, and even GIFs

Because this was an AI tutorial, he selected AI images and used a photorealistic style rather than illustrations. He also mentions an Advanced area with more options, but did not use it in the example.

Once the settings were ready, Julian clicked Generate. Gamma then created the cards and started rendering images.

One practical detail from the demo: images can take longer than the text and layout because they still need to be generated. That delay is normal and showed up clearly in the walkthrough.

The first draft already looked polished. Gamma created a title card, slides for the national parks, and a recommendation card for which park to choose. Julian specifically liked the overall look and said the result was already “really nice” before any manual editing.

A useful part of the video is that it does not pretend the first draft is perfect. Julian treats Gamma’s output as a strong draft, then edits it where needed.

He showed that you can click directly into the content and:

• Type your own text
• Bold, italicize, or strike through text
• Add links
• Adjust formatting much like in PowerPoint

He also showed a limitation of AI imagery. One slide included a bear fishing image that he said looked “kind of ridiculous.” Instead of keeping it, he demonstrated two ways to fix it:

1. Regenerate the image with AI
2. Replace it with a more realistic photo from Unsplash

In the example, he searched Unsplash and chose a replacement image that looked more believable. That is a good reminder that Gamma can save time, but you still need to review visuals before presenting.

Gamma is not limited to the original outline. In the tutorial, Julian used the new slide with AI feature to extend the presentation after the first draft was finished.

He added a card with the instruction:

calculate the cost per individual for our trip

Gamma then created an extra slide focused on the trip budget, including items such as:

• Bus travel
• Camping fees
• Food and water

Julian liked the design of that card, including the themed image, but he immediately pointed out that the numbers still needed manual correction. He edited the transport and camping costs to make them more realistic. That is an important workflow lesson: let Gamma create the structure first, then review all factual and budget-related details yourself.

On the right side of the editor, Julian showed that Gamma supports more than plain text and images. The available content blocks in the demo included:

• Basic text blocks
• Tables
• Notes
• Buttons
• Code embeds
• Additional AI or Unsplash images
• Uploaded video
• Embedded YouTube, TikTok, and Spotify content
• Instagram, Google Drive, Figma, and Miro embeds
• PDF inserts
• Column, bar, and line charts

This is one area where Gamma can feel more flexible than a basic slide deck. If your presentation needs live media, reference material, or a more modern embedded format, Gamma gives you those options directly in the editor.

When the deck is finished, Gamma gives you a few ways to use it. In the tutorial, Julian showed that you can:

• Share it with colleagues or teammates
• Export it as a PDF
• Export it to PowerPoint
• Continue editing in PowerPoint or Google Slides
• Present it directly inside Gamma

His stated preference was to present inside Gamma. The reason was simple: he liked the built-in animations and said they looked smooth and modern as content appeared from one card to the next.

He also says the finished presentation was created in under about 10 minutes, which is the clearest practical benefit shown in the video.

The tutorial provides a useful balance because it shows both the appeal and the rough edges.

This comparison stays close to what was actually demonstrated.

That does not mean Gamma replaces PowerPoint for every use case. It means Gamma is especially strong when you want a fast, attractive starting point and are willing to review the result before sharing it.

For another walkthrough focused on the same tool, see this related Gamma AI tutorial for presentations.

Based on the demo, Gamma is a strong fit for:

• Students who want to turn a topic or essay into slides quickly
• Business users preparing pitch decks or internal presentations
• Freelancers and agencies who need a polished draft fast
• Anyone tired of starting from blank PowerPoint templates

It is a weaker fit if you need every figure, image, or recommendation to be publication-ready without review. The tutorial clearly shows that human editing still matters.

Gamma AI looks most useful when you want to go from idea to presentable draft quickly. In Julian’s test, it handled outlining, design, and slide generation well, and the deck looked polished fast. The main trade-off is that you still need to review facts, costs, and some AI-generated images before presenting.

If you want a faster way to build modern decks without starting from a blank slide, Gamma is well worth testing. You can start with Gamma AI here and see whether its prompt-first workflow fits your next presentation.