Transform Ideas Into Engaging Visual Stories with Gamma

Full video transcript

Thank you all for tuning in with us here and we are getting ready to rock and roll with our platinum sponsors, Gamma, who are set to take the stage and show us what this incredibly powerful tool can do. I’m really excited about the visual storytelling that we’re going to dig into. With that said, subscribe to our YouTube channel, GenAIU, for more videos like this related to Gamma. And check out Gamma at gamma.app to give it a shot yourself. Amanda and team, stage is yours.

Awesome. Thank you so much and it’s awesome to be here. I’ve heard a lot about Scale with AI Summit. So I’m really pumped to be sharing about Gamma. So what we’re going to be talking about today specifically is exploring some of Gamma’s newest features to help you craft some engaging visual stories to help captivate your audience. So, I’m seeing a few familiar faces and this might feel a little bit repetitive for you, but hopefully this is something that resonates with you, and certainly I encourage a lot of discussion if folks have questions. I don’t have the chat open, but feel free to just stop me if you have any questions or anything you want to cover.

I am making some assumptions here that most folks here know Gamma already, but just to do a quick little elevator pitch about what Gamma is before I dive in: at Gamma, we’re building tools for the imagination. The purpose behind what we’re trying to do is build these powerful AI tools to help you share your thoughts in beautiful presentations, sites, social posts, and anything else that you can think of. One of the reasons why we’re building Gamma is because we believe in the creations that you’re making.

Okay, so Darby already did a little introduction, but this is the team on the call today. I’m Amanda, I run our power user community. We have Hillary on the call, she’s our head of customer experience and she’s going to be involved a bit later in a Gamma demo. And then we also have Dae-Ho.

From there the session moves into a live rebuild of a sample cat-cafe pitch deck. The team uses the edit-with-AI sparkle icon to try a new layout on a projected-impact card, generating five alternative options and previewing them together, ultimately settling on a version that breaks content into clearer sections without an overly busy accent image. They repeat the process on a text-heavy competitive-landscape card, first condensing the copy with AI, discussing the value of speaker notes for supporting detail, and clarifying — after an audience question — that generating AI notes never changes the card’s existing text, only adds notes based on what’s already there.

They then work through adding visuals thoughtfully rather than automatically, removing a Venn diagram that didn’t support the message and deleting an unhelpful column. Using the chat-with-AI panel (opened with the Command+E shortcut), they ask it to add a graph to the financial projections section, and Gamma pulls the numbers already on the card into a rendered chart. An audience question from Tina prompts a demo of the split-card shortcut — typing the asterisk key three times (***) — with Command+Z available to undo, and a note that cards built from tables or complex smart layouts may need the layout adjusted before splitting works.

Moving into the chat-with-AI feature more broadly, the team asks Gamma to search the web for the three most popular cat cafes and add the results as a new card. After a brief retry, Gamma returns a card with real business names, locations, offerings, and even posted hours — which the presenters verify against an actual web search and confirm is accurate. They note this web-search capability is currently in beta. They then ask AI to add an executive summary, and Gamma generates one with color-highlighted key numbers, plus an unprompted “key success factors” section drawing on strategic-partnership details from the cat-cafe research — a result the team says they hadn’t seen from Gamma before. They test asking AI to highlight key numbers on another card directly, noting it works better when a specific card is selected first.

Feeling the deck still looks visually bland, the presenters use chat-with-AI to request a more playful theme, and Gamma returns multiple color options, including seafoam and peach; they settle on seafoam for its vibrancy, producing what they describe as a much-improved look compared to the deck’s starting point.

The session continues with further best practices for custom themes, advanced customization options, creating consistent branding, generating marketing materials from a deck, and a walkthrough of Gamma’s new Studio view, before closing with live Q&A. The team closes by encouraging anyone who hasn’t tried Gamma to visit gamma.app, and thanks Hillary, Amanda, and Dae-Ho for joining the session.