Agentic Prompting in GPT‑5: The Top 1% Single‑Pass Prompt (3 Real Demos)

Speaker A: Today I am going to walk you through how to get GPT5 to act as an agent for you simply by prompting. Now there's three examples that I'm going to walk through and by the end of this video, what you'll be able to do is accomplish three things. Number one, you'll be able to prompt basically agentically coding a front end app within GPT5. Number two, you'll be able to finish a long term project within minutes of, of something that would take on average probably four to five hours to do if done manually. And number three, I am going to show you how to do automation from end to end or a pretty complex task through a combination of different SOPs and different areas within a project. Those of you don't know me, My name is Ryan Staley and I have helped thousands of people specifically go to market executives with AI transformation so they can multiply the capacity, become a 2x3x, even 10x employee in terms of what they're doing. So happy to be with you today. And I'm going to. Let's get right into it. Okay, so I'm going to share my screen and I know that there's been a lot of aggravation and frustration with GPT5. I think the hype, hype world was, I don't know, overboard in terms of what the expectations were for it. Um, however, one of the things that I realized is like there's really specific ways you got to use this model if you want to have asymmetrical results. So, so what I'm going to do first is I'm going to walk you through and basically identify all the way to the beginning on um, how we create effectively a full project prompt that's created. So what I did here is I'm like, all right, act like a chief revenue strategic advisor for a full stack generative AI platform writer. What I did is I pasted in some things about them. They just had a $200 million Series C round and gave additional details within there. Right. So that was all contacts. Now what I said is I said systematically analyze the entire funnel from lead generation. Don't stop at service metrics. Now remember that. I'm going to go back to that and pull up the exact prompt sheet I have that I designed specifically for GPT5 with the 12 cheat codes that they have. Ah, this is really, really critical because a lot of people don't know how to use this yet. Right. So only complete your analysis when you have five specific revenue optimization strategies. Once again, remember this Language only. Complete your analysis. These are simple words that they're going to have a massive impact on how the model works with you. So what you're going to see here is a plan and it's like, all right, um, what I asked is how could we 2x ARR in 36 months? Uh, they're probably about 200, 300 million if I had a guess. So um, what you're going to see is it gives a snapshot with the ground truth, it gives gold math. It goes through funnel diagnostics and KPI targets everywhere from top of funnel, middle funnel, pipeline, sales velocity. And it, what it's starting to do is highlight ideal target rates that they want to hit. Now the other thing that was really interesting is it has five plays specifically for revenue impact or projected impact. They have the PQL engine which is really like product behavior. And so it's really interesting on how they're um, basically pql, for those of you who don't know is product qualified leads. So what that means if it's a product like growth company or, or a user can sign up, then basically those are identified and understood and qualified and then reached out to if they're appropriate. So that was one cloud marketplace co sell was two vertical agent packages which is really interesting, uh, to package different agent blueprints that they have and then on top of it, POV factory and expansion machine. Okay. So um, in addition, what it gave is an operating model scorecard and why that fits. Now what you're going to see here is at the end it's also asking like, hey, do you want me to do more for you? Right? I said yeah, please drop the one page plan. So what it does is it'll then put it in a canvas style format and just gives a one pager of that entire summary which you can see it's pretty solid and you can edit it within here. So that's step number one. So do that whole project that would take multiple hours to do. Now what I'm going to do is uncover the insights behind that. Right. One of the things that you're like, all right, great, Ryan, this is just another prompt, but what I'm going to walk you through is a GPT5 framework prompting cheat sheet that you could get actually if you click on the link below. Sorry about that, I run into an issue. If you click on the link below, you can get access to this and what you're going to see is what we're focusing on is the agentic persistence frame. There's all These other frameworks within here, uh, reasoning instruction, verbosity, context grounding, self reflection, fixed tool, multi turn, structured XML prompting, meta prompting, and parameter highway control. Very technically orientated. These are taken directly from what OpenAI, uh, has about how to prompt with this model. But what I did is I took it 10 levels deeper and used an agent to identify and create use patterns specifically for this, for sales, marketing, and then even a Chief Revenue Officer prompt. Okay, so what I want to show you in here is this. And we're going to really focus on the agentic persistence framework today. What you're seeing within here is what it has very specific language. Keep going until you have complete profiles. Never stop when you uncover uncertainty. Research deeper until you find the information. Only terminate when you have actual intelligence for all targets. Okay, now the caution with this is if you are using an API plan, which means you're paying with credits. Um, I don't know if I would necessarily use this language. I would test this, um, but set limits because otherwise it could go on for a really long time. Um, and burn a lot. If you're on a normal paid account like a $20 plus user or a teams user or pro, you, uh, don't have to worry about it. Okay, another example, as you can see in here, only terminate when you have concrete action. Don't stop at surface metrics, only complete your analysis when you have the targeted outcome. So what is in here? As well as I have the actual prompt template, then I have example of what the output looks like. Like. All right, so these are, like I said, three different areas and I'm going to walk you through one more in terms of marketing so you could see what that full campaign looked at. But if you want this sheet, there'll be a link in the comments below. Grab that, drop your email, I'll shoot it over to you, and then you'll have access to it. Okay, so let's go back to. I'm going to finish off and show you a really quick marketing campaign analysis. And I'm not going to spend a lot of time on it because I just went through kind of the advisory template. But I thought this was really, really good. Um, we mapped it out. And so as you can see, I, I dropped in the prompt from there, however, I said, let's do a LinkedIn organic campaign, AI skill adoption. I even spelled it wrong with a $10,000 budget. Right. So basically what it did is it mapped out an entire campaign in terms of the snapshot creative and format optimization, like how to do this and ship this within 10 to 12 weeks, everything from format matrix to percent on a prompt perk for Sonnet and problem at the same time it's got distribution, audience building and then conversion os, right? Like it even goes into like how to update your profile and what to do to optimize it for conversion. I thought that was really good because in the past I haven't seen these models get this deep and I think a big part of it is because. And by the way, these prompts took a little bit longer to run. I think on average they were taking like three to four minutes to run. And that was in the thinking mode etsy, which is GPT5. So um, on top of it too, it's got this as well in terms of like what to ask, project enablement, budget, implementation timelines and then even KPI and criteria. Now I didn't even ask it. I said send me your last. To send the last 8 to 12 weeks of LinkedIn post exports and I'll replace the estimates with actuals. I thought that was pretty solid as well. Okay, so that's number two. Number three is I'm going to go through an automation and end capability. Now this isn't very different than what I just showed you, however, it's got way more in it and I want to show you exactly how I created the prompt to do this so that you could. Oops, sorry, it updated right, so you could do this as well. Very simply. It was kind of funny because it was one of those posts on LinkedIn where it's basically like, yeah, I did this, this, this, this. And if you want a post comment, right, and basically what it'll do from there is it'll identify, um, you know, if you comment on it, I'll give you access to it. For some reason it's not populating now, which is awesome. So um, but what you're going to see is let's get this automation ended. All right, Boom. I was just about to pause. I'm like I can't make you wait. People can't wait. All right, I'm going to go all the way to the top. Now what I decided to do is I said all right, I want to design a top 1% of 1% prompt for GPT5 and I need you to do this in a single password. Once again, I fat fingered it. Right, so um, basically what you're seeing is have deep market recon with web and Reddit panes, shops to be done triggers, objection, Resource strategy, angle matrix, backlog of priorities, outline drafts, voice transfer, Fact check compliance channel packaging experiment A B with learning loop. Okay, so what I did is here I need you to do this in a single pass. So that's the instruction. So that's that key, key language that I mentioned. And what I did is I actually put that in a GPT Pro on accent. But what it did is it created this, this very involved prompt. Now GPT Pro is only available for pro users. GPT5 Pro, it's the model that takes a little bit longer. But as you can see this is very involved in terms of like what was created with this prompt. Now what you're going to see. And I said it's got a pre, pre built starter block. And I said yeah, do a pre filled starter block. And so it effectively did this for what it knows about me with my company and what it's seen. This is where I got really impressed with like the deep market recon. So it's got buying triggers, pains, jobs to be done, decision criteria, objections and then even like preferred channels which I thought was really good and then keywords as well. And it's got CRO, cmo, bpo, rep, ops, right. So I thought that was really like sharp with the way that it did it. Now at the same time it also gave examples of like specific pains and job B scoring samples. Like this would take me a really long time to surface and frankly if I didn't put this in this way I probably wouldn't think of all the details that it's posting up. Right. It's got triggers right where it's got title, um, change, earnings call, job post, pe. Like all of these are solid and I know from real world experience what I've seen work with my clients, um, objections. And then uh, it's got, that was just number one, right? It was just number one. So it did this whole capability everything from like the types, the value narrative to the efforts. I um, was blown away with this prompt in terms of. And it's kind of angle matrix, stop, AI theater, PE Playbook, EBITDA via enablement. Right? So it's like um, I was really impressed with that Deliberately, deliberately and backlog and even prioritized it with rice, which is uh, a mechanism to use to really identify what to focus on. And so um, it identifies that production uh pipeline with basically SOPs and quality gates channel packaging, six um, week schedule. And I didn't even dig into this. This is a CSV that I could export UTM builder experiment plan. And a lot of this might be over your head because it's over my head, some of it. Right. But at the same time, like the packaging, the sourcing, the UL URLs is, um, really freaking good. Okay? So that's the automation aspect. And like, like I said, I think the core key, like cheat code is like, first of all, I asked to design a top 1% of 1% prompt specific for the model. And I said do it in a single pass. So that's the key takeaway. And then boom, I just, I identified what I wanted it to do. So if you look at this, this is 1, 2, 3, 4, 5, 6, 7, 7 step, like, deep structured process that I basically automated and did within one prompt. And that took three minutes to create the prompt and probably another three minutes to create it. So was blown away with that. Okay, last but not least, what we're going to do now is we're going to go into coding, all right? And within the coding, like, I, by natural trade, uh, am not a coder. This, this is not what I, um, have been classically trained on. However, as I mentioned and as you know from watching my other videos, I spent a lot of time on AI tools and other capabilities. So what you're seeing here is I'm like, all right, build me a beautiful ROI tracker for AI skill adoption for ChatGPT front end in React. All right? So what I would say is, like, I used the thinking model, I didn't use the Pro. So it's available to anybody. Um, basically what you also have to do, and I just want to give you context on this, is there's different modes. You have to do this in campus. If you want to code, you have to do it in Canvas. Um, it's. The model picker is supposed to identify, uh, what you need to. Which, which model you want. I'm going to show you a bonus, by the way, at the end of this video. Um, but if you do it in Canvas, it automatically knows to go to. So what happened is. And this is what was wild. I actually did this. Like, I had breakfast this morning, and then I'm like, you know what? I'm going to try this out. And then I let it run while I was basically, like, getting ready for work, taking a shower, all that. And it didn't take too long. But as you could see, it built, uh, out all these different lines of code. So by the time I was done, I think it was 677 lines of code. Pretty fricking wild. So what happened was after you have the code and you jump in here, there's a Button that says run code and the run code will show you what it looks like. Now when I ran this example I got an error. So I was like ah, ah, great. This is like classic. Like you run something, you build something, you have an error. Okay, what happened was it, it asked me after I did this a couple questions like do you want me to tailor it right? Do you want me to? And this is based on some of the things that like I focus on in my business with the AI transformation sprints. I do. Um, and I, I said yeah. Add scenario compare chart 1 pager till I fat fingered it again. Like what it did is it created this in React and it walked through and basically what happened is when I ran it and I'm going to click run code. When I ran it, um, there's a little alert that popped up saying there was an error. If you click on that little alert, it'll ask you if you want it to fix it. I just said click it, fix it. And then it went through every single line of code, edited it and then updated it and I'll show you what came out. I was pretty impressed with this. Um, like I said, I'm not a coder. However, if this is something you're interested in, I'm starting to experiment and there's ways where we could throw this in like emergent or replit to have this instantly connected to the back end. So as you can see this is the ROI kind of front end that I developed. And like I said there's a lot that I would need to go through and update. So this, the quality is there. But I think with a simple short shot capability where I've changed the scenario, um, I could create a one pager from it. I could identify the team size. Right. Um, so I thought that was like, you know, pretty, pretty impressive. The hours per week, fully loaded, time save cost, all these different capabilities and as you can see it's like interactive. So we have in here like different scenarios, comparison monthly cash flow, benefits and other areas. Right. So that was um, basically what we created today. And I was like this is pretty cool. I know GPT5 is getting a bum wrap now. I did tell you I was going to share with you a bonus. So um, before I do that, let me put a bow on this. So basically like I said, real key is using the agentic language or the appropriate language for five. It is an insanely intelligent model if you know how to use it. Specifically number two is like ah, leverage it. Um, and basically after you use the language Use the prompt structures like I said in the chat thread, there'll be a link, um, um, then you get access to resources like this that I'm going to start including on a, on a weekly basis for when I work with folks, or I should say with the content I create. And then number three is the coding start simple, but then once you do that, have it checked. And then last but not least, I'm going to show you the bonus. Okay, so if we go into settings, this is the bonus idea that m you might be very excited about. One of the complaints about GPT5 is that like a lot of folks empower users. People that follow this, um, used to like to look through all the models. Well, what you're going to see here is there's a capability because there's such an uproar over what happened where people were like literally emotionally attached to some of the models. So if you go in here, what you're going to see is system settings. So you could have different accents to kind of customize it on what you want. You could have different system themes. Now the other area that I thought was interesting, I clicked on this little tab to show legacy models because I sometimes want to toggle back and forth to the models versus having ChatGPT decide for me what to use because I know what's best in different situations. So once you click that, check this, you go to legacy models and you can access whichever one you want. All right, so that's little bonus I have for you. Appreciate you sharing your time with me today because I don't take it lightly. I know it's super valuable, but I hope this was value packed, uh, for you so that you now understand how to use GP5 GPT5 agentically better than most people know how to use, um, any kind of AI tool at all. So if you start leveraging this consistently, you'll be the top 1% of 1% users. And that's what I'm here to share with you and be a part of. So once again, thanks for joining me. Feel free to grab those prompts. If not, I will see you all on the next video.