Episode Transcript
[00:00:05] Welcome to Prompting Curiosity, a podcast for the AI curious. No coding background required. I'm your host, Dr. Shantae Cofield, also known as the Maestro, and I created this show to explore what these AI tools actually are really, though, are the files in the computer, how to use them, and what they might mean for how we think, work, create and move through life. Whether you're skeptical, intrigued, or already experimenting, you're in the right place. All that I ask is that you stay curious. All right, let's get into it.
[00:00:38] Hello, hello, hello, my curious people. Welcome to episode 64 of, uh, prompting Curiosity. I'm your grateful host, the Maestro, and today we're talking about a recent exposure that I had to the corporate world. Haven't been there in a long time. Technically, wasn't if you're like, really in there as a physical therapist, but it was like, obviously way more corporate than my online business, but recent exposure to said corporate world. And I want to chat about what it revealed to me about corporate versus creator AI use cases, because it was very, very, very apparent. Uh, but before we hop into that main topic, I got a few quick updates, and by a few, I believe, uh, two quick updates. Um, number one, chat GPT is scheduled to retire custom GPTs on December 11th. I realize this won't affect all of you, but, um, it may affect some of you. So if you didn't know that that's going to happen, um, they're going to replace, I should say OpenAI is scheduled to retire, um, but they're going to replace them with what they're calling plugins. I originally wrote about custom GPTs in episode 11, which was what the is a custom GPT. I will link that in the show notes.
[00:01:49] Um, I think that custom custom GPTs were honestly one of the coolest and most valuable features of chat GPT. Right. I don't think that they ever caught on to the extent that they could have. People did use them, but, um, it was a pretty niche kind of use case and it felt very much like the first go round of QR codes.
[00:02:07] Um, I actually do. I have two custom GPTs even though I no longer use ChatGPT.
[00:02:13] Um, I don't have a chat GPT account, but you can still have the GPT can live on. And I know people use it because they will DM me about it. Um, so I got to like, send out an email about that. But, um, I am absolutely not sure of the full details of, of what plugins are and how it's going to work and how you know what's required for the, um, you know, required on the part of the owner of the custom GPT and the migration.
[00:02:37] Um, but I do have a link for you to the OpenAI support article and you can go and read it if it does affect you. All right, that's. That is, uh, update number one. Update number two is that I caught an interesting thread from Boris Cherney. He is the head, head of applications at Anthropic and he's actually the creator of Claude code. And he's super, super active on socials. Super active. He responds to people, people complain about stuff. He's like, did you try this? And like, send me this.
[00:03:09] Um, but he had a post that was up and I was like, oh, this is good. I should put this in, in the episode. But, um, in the thread he wrote, I'm surprised that people are surprised that this is how I prompt Claude.
[00:03:23] Talk to Claude the way that you would a co worker. There's no secret to prompting. There's no need to be overly scaffolded or prescriptive for most tasks. Give Claude a goal and it will figure it out. Back in the sonnet 3.5 days, your prompt mattered a lot. Nowadays, it's much more important to communicate to the model the following three One, what you want it to do, two, how much effort you want it to spend, and three, how it should verify that it did the right thing. Right?
[00:03:54] Honestly, this is dope. All right. This is great. And it really speaks to the overall advancements, um, of AI. I continue to believe, and I've said this since day one, I continue to believe the most incredible part of generative AI is that it uses natural language. That's crazy. You can just talk to it, you can type to it, you can talk to it. You don't have to know anything besides how to talk and, and ride.
[00:04:20] Uh, I think that it's so profound that it actually causes it to be under celebrated and under recognized because people just take it for granted. Right? But it is truly, truly incredible that you can do that. And it's, you know, awesome to hear from, from the head over at Anthropic that this is how he's using Claude and this is how you should be using Claude. And it's the best way to be using Claude. And so to me, it's a super helpful statement. And, um, you know, definitely something to, for, for everyone that's using AI to consider.
[00:04:51] Um, um, actually, I'm realizing I had three little updates.
[00:04:56] Third update, and kind of tying into what Morris was Speaking about with effort is that Claude's Sonnet 5.5 is absolutely crushing when it comes to benchmarks and costs. And, uh, the main thing here that I want you to know is if you are an Opus or Fable user, give Sonnet 5.5 a try and save yourself some tokens. That is my workhorse daily driver. Um, if you have no idea what I'm talking about with Sonnet, Opus, Fable, I've talked about open people before, but if you have no idea what I'm talking about, that is. Okay, go and ask Claude. All right, on to today's main topic, which, as per the title, is about what is great for corporate but risky for creators. So recently I had the opportunity to submit a proposal to a company, a corporation, to build them a website using AI. Now, at the time that I'm recording this, I haven't yet heard back, but I'm stoked to have been able to throw my hat in the ring at all. Uh, and I'm pretty certain, spoiler alert, that I'm going to use this as the springboard for an AI implementation arm of my business, um, with a focus on. On training and, and custom builds for clients. So we will see.
[00:06:18] But I, I have a feeling that this is the thing that's going to launch that. Um, but what prompted this specific episode is that I used Claude to write the entire proposal. The whole thing.
[00:06:33] Right. I was, however, 100% at the helm for this. You know, I was very specific about things. I was very specific about what I wanted to include, what I didn't want to include, what I wanted to emp, what I want, what I felt comfortable promising, what I didn't feel comfortable promising, like how to cover my ass, how I wanted it to be structured, how I wanted it to sound, how I wanted it to read, the deadlines, the deliverables, logistics. I was incredibly specific about it. And Claude and I went back and forth a bunch, right? The whole thing took probably an hour. Right from the time I sat down, I'm just like, hey, this is what I'm going to do. These are my thoughts around. This is what I need. What do you think?
[00:07:11] Do a first draft. Let's go back and forth. Probably took me about an hour.
[00:07:15] Uh, but Claude wrote that proposal, right? That's fucking m. Incredible. So, to me, this is a perfect use case for AI. And it really highlights the fact that for many things, at least in my opinion, for many things in the corporate world, when convention is the goal, it is honestly foolish to not use AI, Right. Like if you want to talk the doc, have the robot speak for you.
[00:07:45] The nuance here being that I supply the directions, the details, and most importantly, the judgment. But AI carried out the task, right? So again, in this corporate space, convention is the goal, and thus outsourcing the final product to AI is a very good choice.
[00:08:02] This is in stark contrast to where I spend all my time, which is the creator economy.
[00:08:08] And in that space, voice is the goal.
[00:08:12] And thus outsourcing the final product is an absolute fucking no, no. Because you're going to sound like a robot. We don't want that.
[00:08:20] Complete opposite. I have been yelling about this since episode one, right? And the fact that the best AI, uh, use cases are for non client facing tasks, right? For repetitive tasks and for tasks that can be automated, you cannot and should not automate your voice, right? AI should not be writing your copy. As a creator, what are you doing? If you want to have it schedule your content, you want to have it move your content from one folder to another, you want to have it pull quotes from your content, you want to have it generate ideas that you then and go make content about.
[00:08:52] All good, right? The caveat here, I would say as a creator, and this kind of brings into the speaker world. Speaker world is that using, uh, AI for a blurb, for a presentation, for, you know, for speaking gig big, especially at most stuffy conferences. I'm thinking back to my APTA days. My, uh, what is that? Cat association of Physical Therapy. I don't know, I don't know what APTA stands for, but I don't know. But they had conferences, I spoke at conferences and I hated writing the little blurbs. It's a perfect use case for AI. Why? Because it's very much the same as the corporate situation in which convention is the goal.
[00:09:30] So use the robots, right? Use the robots.
[00:09:34] Like I said earlier, I am, uh, so far removed from the corporate world that I don't, you know, I don't want to speak in generalizations because like I'm, I'm basing this off of my specific example, this specific thing that just happened and the proposal. So I don't want to speak generalizations and be like, it's always like this, but if I can speak, and I will speak specifically to this one proposal, it became immediately crystal clear. Or I don't like that grammar there. It immediately became crystal clear how AI has the potential for so many use cases, right? I'm gonna hold my tongue as to what I think that says about corporate structure in general.
[00:10:17] And instead I'M going to choose to highlight the hope I have that AI will be adopted for the appropriate tasks, thus creating efficiency and allowing people to do more of what they actually enjoy, like going home early, like, being done.
[00:10:35] All right, last part of the episode and then we will wrap it up, which is how I use AI this week. So each, if you're new here, welcome. Um, each episode I share a quick example of how I or someone I know used AI that week. This week, I want to share how my good homie, Delilah is using ChatGPT to learn Japanese.
[00:10:55] What?
[00:10:56] That's pretty wild, right? So the prompt she that she used.
[00:11:00] I'm, um, learning Japanese. Speak to me mostly in Japanese at a conversational pace. Ask me one question at a time and wait for me to answer. After I answer, correct my Japanese. If necessary, tell me what I said, what was wrong or unnatural, and give me a more natural way a Japanese person would say it. Explain the grammar briefly in English. The then have me say the corrected sentence again.
[00:11:24] And then at the end of the conversation, ChatGPT writes a recap and puts everything into an Excel spreadsheet so that Delilah can review it at any time. Like, yeah, I love this. This is a super duper dope ass use case. And it's a super awesome way to lean into the voice function, which y' all know. I, I, I love that it can talk back. I do think that it talks too slowly.
[00:11:50] Um, but I'm not trying to learn language.
[00:11:52] Um, so you can ask it at least on cloud. Like, I can ask it. I'm like, please speak faster. And so that is the default. And it does, but it still doesn't speak as quickly as I would like. Um, but either way, I've said this in earlier episodes. I really like that voice function, uh, that generative AI has. And so this is just a really, really cool use case, in my opinion.
[00:12:11] All right, looking at the outline, that is all for today. Hopefully you found this episode helpful if you did consider leaving a little rating or a little review. We have been stuck at 31 ratings and I want to get to 32. I'd love to get to 35. Love to get to 100, but let's just get to 32. Who wants to be that 32nd person? Give me some stars. Leave a little rating. You want to leave a review? That would also be awesome. I think the last one's from, like, four months ago. Uh, so would love a rating, Would love review a review. Would love to hear from you.
[00:12:44] Don't forget, folks, I have a companion newsletter and blog called the Curious Companion that drops every Thursday. That is basically the podcast episode in text format. So if you prefer to read or you just want a written record of the things, join the newsletter fam. You can head to prompting curiosity.com forward/newsletter or forward/ Blog. Or you can keep it simple and just check out the link in the show notes.
[00:13:10] As always, endlessly, endlessly endlessly appreciative for every single one of you. Until we chat again next Thursday, stay curious.
