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How-to 9 min read

How to Make a Presentation With AI

By Chatday Editorial Team ·

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How to Make a Presentation With AI

You have the meeting on Thursday, a rough idea of what you want to say, and a blank first slide that has been staring back at you for twenty minutes. Somehow the thinking part took an hour and the slide part is about to take three.

This is exactly the job AI is good at. Not because it magically knows your topic, but because the slow, fiddly work of turning your ideas into a clear running order, tight slide text and notes you can actually read out loud is the kind of shaping AI does fast. You still decide what the talk is about. AI handles the part that usually eats your evening.

Here is the honest, start-to-finish way to build a presentation with AI, and where you should keep your own hands on the wheel.

What AI can and cannot do for a presentation

Worth being clear up front, because it decides how you use it.

AI is genuinely good at four things here: turning a messy brain-dump into a logical running order, writing tight text for each slide instead of paragraphs, drafting speaker notes in a natural talking voice, and pressure-testing your flow (“where does this drag, what is missing”). That is most of the grunt work of a deck.

What it cannot do is know your meeting. It does not know your numbers, your audience’s mood, the one thing your boss actually cares about, or the story only you can tell. If you hand it a title and ask for a full presentation, it will produce something that looks finished and says nothing, because it had nothing real to work with. The quality of your deck is decided by the quality of what you feed in.

So treat AI as a very fast junior who is great with words and structure, and hopeless at mind-reading. You bring the substance. It brings the shape.

Build your deck in five steps

Here is a flow that keeps you in control and still saves you the whole afternoon. Most of the time is you thinking and choosing, not typing.

1. Brain-dump before you touch slides. In plain words, tell the AI what the talk is, who it is for, how long it should run, and every point you might want to make, in any order. Rough is fine. “15 minute update for the leadership team on the new onboarding flow, we cut signups drop-off, here are the before and after numbers, I want budget for phase two.” That messy paragraph is gold. It is the raw material everything else is shaped from.

2. Agree the story before the slides. Ask for an outline first, not a deck. A presentation is an argument, not a pile of slides, and getting the running order right on one screen is far quicker than fixing it across twenty slides later.

Read that outline like an editor. Move slides around, cut the ones that do not earn their place, and only move on once the story actually flows.

3. Now draft the slide copy. With the running order locked, ask AI to write what goes on each slide. The rule that keeps it good: short. Slides are not paragraphs.

4. Get your speaker notes. This is the step people skip and then regret on stage. The slide is the headline. The notes are what you actually say.

5. Read it back and make it yours. Go through the whole thing once out loud. Anything you would never actually say, change. This is also where you drop in the real detail AI could not know: the anecdote, the caveat, the number you were saving. If a section still sounds like a brochure, our guide on how to make AI writing sound human covers the exact tells to strip out.

Got a long report or a spreadsheet behind all this? Paste it in and ask AI to pull out the three points worth presenting first. The same trick works for any long source, which is really just summarizing it down to what matters before you shape it into slides.

Which AI model for which part

You do not have to pick one model and stick with it. The quiet advantage of having them all in one place is that you can hand each part of the job to whichever one is best at it, without copy-pasting between four apps and four logins.

The jobReach forWhy
The outline and the argumentClaude Opus 4.8Strong at structure and keeping a clear thread across the whole talk
Punchy slide copy and rewritesGPT-5.6Fast, sharp phrasing when you want text trimmed to the bone
Pulling points from a long reportGemini 3.1 ProComfortable with long, messy source material and mixed media

None of this is a hard rule. The genuinely useful habit is to run the same outline through two models and keep the version that sounds most like you, because they phrase things differently. That is a thirty-second experiment inside one chat, not a project.

Make the slides actually look good

Words done, you still need slides a room will not fall asleep in. A few things AI genuinely helps with:

  • A design theme in plain English. Ask for “a simple, modern look: one accent colour, lots of white space, one idea per slide” and it will suggest a colour and layout approach you can apply in your slides app.
  • Custom visuals instead of stock cliches. You can generate a clean, on-brand image for a title slide or a section break rather than reaching for the same tired stock photo. If you want to go further, we compared the options in which AI image generator to use.
  • A ruthless declutter pass. Paste a slide’s text back and ask “what can I cut so this is one clear idea.” AI is very good at spotting the two bullets that were really just nerves.

Where making slides with AI falls short

Being honest about the limits is what keeps you from getting burned in the room.

It does not know your data, so it will happily present a trend confidently in the wrong direction if your notes were vague. Every number on a slide is yours to verify, on every pass.

It flattens the memorable bits. Your one sharp line, the surprising stat, the joke that lands, is exactly the thing AI smooths into a tidy generic bullet. Protect those on purpose.

And it has no read on the room. Tone that works for a casual team standup can be wrong for a board or a client pitch, and the model cannot feel that line unless you tell it who is in the audience and what they care about. When the stakes are high, a human who knows the room still beats any draft.

Mostly the text, and it does that part very well: the outline, the on-slide copy and the speaker notes. You then assemble the slides in your own app like PowerPoint, Google Slides or Canva. AI can also generate custom images for your title and section slides.
The more real material the better. Tell it the audience, the length, and every point you might make, and paste any source document behind the talk. Give it only a title and it fills the gaps with generic filler, which is what makes AI decks feel hollow.
The strong general models all do it well, and they are good at slightly different parts. A model like Claude is great at the structure, one like GPT is sharp at trimming copy, and one like Gemini handles long source documents. Running your outline through two of them and keeping the best is the fastest route to a deck that sounds like you.
Only if you let AI write it from a title. Feed it your real points and audience, then do a read-through out loud and swap in your own anecdotes and caveats. Used to shape your material rather than invent it, the result sounds like you, just finished faster.
For a normal work presentation, an afternoon of real thinking becomes closer to an hour: most of it spent choosing the story and adding your real detail, with AI handling the drafting and tidying in between.

The short version

A presentation is really two jobs: deciding what to say, and doing the slow work of turning that into slides and notes. AI cannot do the first for you, and it should not try. What it does brilliantly is the second. Give it your real material and your audience, get the story right on one screen before you build anything, then let it draft the copy and the notes while you keep the judgement.

Do it in that order and the blank first slide stops being a wall. You spend your time on the thinking that only you can do, and get your evening back.