Today on the AI Daily Brief, 11 GBT5 prompting techniques to actually get the most out of this new model.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

All right, friends, quick announcements before we dive in.

First of all, thank you to today's sponsors, Blitzy, Vanta, and Super Intelligent. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief. And if you were interested in sponsoring the show, shoot us a note at sponsors at AIDailybrief. Now, today we are taking a distinct step into the practical when it comes to GPT-5, and perhaps unsurprisingly,

it ended up going quite long, so today we will just have this main episode.

We will be back with our normal Headlines' main episode division tomorrow, but for now,

let's dig into these prompting techniques.

We are now almost a week into the GPT-5 era, and it continues to be a hugely divisive model, which is not to say that a lot of the initial complaints haven't been addressed. As you heard earlier in the week, the 4-0 Rebellion was successful, and that model is now available for people. We also have a new approach to the U.X selector, which is giving people who want it more fine-grained control over which model they're using, and a number of the complaints around limitations for Plus users have also been addressed, at least in the short term. None of which is to say, though, who's right when it comes to how good this model is? People are still struggling to figure out how to get it to do what they want it to do. And while some have just retreated back to the models that they

have already built workflows for, others have spent a bunch of time trying to really understand

how to get the most out of this particular model. Even OpenAI themselves released a prompting

guide for GPD5. And what's interesting about this is that even though we have been trending

more and more

away from having to be good at prompting.

I've discussed, for example, on this show how many different tools are effectively taking

your prompt and turning it into a better prompt, which is, for example, what ideogram

who I use to make this image does, and yet, the GPT-, at least initially, suggests that we are in for a

resurgence of prompt engineering. The TLDR background is that GPD5 seems to require some very

specific types of prompting. And so what we're going to do today, rather than endlessly debate

how good or how bad the model is, or discuss what its social ramifications

are, I'm going to share 11 techniques that come from all sorts of different sources of

people who have actually figured out how to get more value from GBT5. This should be extremely

practical in something that you can put into place right away. We're going to break it up into two

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