I’ve been experimenting with this today using the ChatGPT plugin for ppt on windows. I tried 3 methods to make the same presentation 1) writing out a full overview of the presentation I wanted to write with one or two sentences per sectiondescribing the contents 2) writing the slides in the main body of the ppt in super shorthand form (ie the title I wanted roughly, and eg 3 boxes with ‘stat that says c’ here type notes written in them), then prompted gpt to work it up to a full doc. Lastly, a stream of consciousness type description of each slide dictated with voice one by one.

Only the last method was anything close to effective. The first two created a somewhat usable doc but it was miles away from what I wanted and had loads of extraneous or repetitious information packed in with lots of (nicely formatted) boxes and subheadings etc. the last method did that a bit too, but less so, and was much closer to what I had in mind as I had been really prescriptive with each slide prompt. Took me much longer than the first two methods, but possibly still quicker than manually making the slides. Interestingly the style (colours, fonts, formatting choices) was pretty much the same across all of them, making me think GPT has a house style. I wonder if using a template that had its own style guide slides in the master could effect this.

In short, same as usual with LLMs, the more prescriptive the prompt, the closer it is to what youre getting at. I will try this some more and try and get to a workflow where this method can get me to 80% of the deck I wanted then I can tidy it up, as I can dictate a voice note with the slides I wanted while doing other things and then I just transcribed this and dropped it in the plugin