Every AI tool promises to save you time. Most of them save you time on the wrong step. Ask ChatGPT or Claude to help with a presentation, and you’ll get sharp, well-argued text back in seconds — and then you’re on your own, copying that text into PowerPoint, picking a theme, resizing images, and wondering why slide four looks like it was designed by a different person than slide five.
That’s not a knock on the models. Claude in particular writes a better argument than most humans I’ve briefed. But an argument isn’t a deck. The gap between a “good paragraph” and a “deck a client would sit through” is design, layout, and formatting — and that’s a different job than writing, one large language models were never built to do on their own.
Gamma fills that gap. It’s a free, browser-based tool that takes a prompt and outputs a finished, styled deck — title slide, structure, visuals — rather than a block of text you still have to build something from. Where ChatGPT hands you a script, and Claude hands you a well-reasoned outline, Gamma hands you something you could present in the next meeting. You can get there and export to PDF, PowerPoint or a shareable web link without opening a design tool at all.
None of this makes Claude or ChatGPT redundant; I’d still draft the actual argument in Claude first if the stakes are high, because the writing is better. But for turning that argument into something visual, fast, Gamma is doing a job neither of them is built for.
Getting started
No install, no local software. Go to gamma.app, sign up with an email or Google account, and you land in a workspace showing everything you’ve built. From there: click “New,” choose what you’re making, describe it, and Gamma does the rest.
How it actually works
Start a deck by clicking “New” → “AI Presentation” and giving it a brief, something specific, like “a presentation on AI in e-commerce for personalised product recommendations.” Gamma returns a title slide, a structured outline and suggested content for each section. That’s your starting point, not your finished product.
From there you’re editing, not building from scratch. Each slide is a scrollable card ,and click any text to change it, or use the built-in AI tools to summarise a section that’s run long, rephrase something clunky, or expand a point you left too thin. Everything saves as you go.
Design comes next: pick a theme, then layer in media; images, embedded YouTube or Vimeo, charts pulled from Google Sheets, code blocks, links. This is the step that used to eat an afternoon in PowerPoint and now takes minutes.
If you’re not working alone, Gamma supports real collaboration: invite people by email, leave comments on specific slides, and pull up version history if someone’s “quick edit” turns out not to have been quick. When it’s ready, share it as a live scrolling link, present it full-screen, or export to PDF, PowerPoint or Google Slides.
Worth a caveat here: Gamma’s free plan gives you a one-off batch of credits, not a monthly allowance — roughly enough for eight to ten decks before you’re upgrading or referring friends for more. Paid plans start around €11 a month. Check the current numbers before you commit; pricing on tools like this moves.
Where it actually gets used
In marketing, it’s client proposals with embedded video and campaign decks that don’t look like they were finished at 11 pm the night before a pitch. In education, it’s lecture slides with enough visual structure to hold attention past minute ten — a low bar, but one most decks don’t clear. Content creators use it to turn a blog post into a carousel or a portfolio into something scrollable, instead of redesigning the same content three times for three formats. On the technical side, it handles research summaries, model evaluations, and architecture overviews well enough that teams use it to walk through progress live rather than dumping a doc nobody reads.
The common thread across all four: the writing was never the bottleneck. The formatting was. Gamma removes that step. Claude and ChatGPT are still the better writers; use them for that, and let Gamma turn the result into something you’d actually show someone.
