← The ChatGPT Experiment - Simplifying AI For Curious Beginners
The ChatGPT Experiment - Simplifying AI For Curious Beginners
Ep 101 - Creating Your Own Personal Review Editor
00:17:47
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- [00:01]
Odoo Representative
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AT&T Business Wireless Spokesperson
had AT&T business Wireless coverage, our delivery GPS wasn't the most reliable. Once our driver had to do a 14 point turn to get back on route. A 14 point turn. An influencer even livestream the whole thing. Not good for business. Now with AT&T business Wireless, routes are updating on the fly and deliveries are on time. And the influencer did get us 53 new followers though.
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Odoo Representative
AT&T business Wireless Connecting changes everything
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Kerry Weston
hey, it's Cary. Hey. This week on the show I'm talking about how to build a review editor and scoring matrix for work either you're doing or doing for other people to help you be consistent, thorough and scalable. And I've got a winner in our AI Business world giveaway. So if any of that sounds interesting to you, stick with me and I'll see you on the other side of the music. Hey, welcome to the ChatGPT experiment. This is the podcast designed to help you better understand tools like ChatGPT so you can find a thing, you can find a nugget to get some value for your personal or professional needs. My name is Kerry Weston. I'm your host. How you doing? We are in March, March in Maine. It's that in between season. We're starting to get hope, a little optimism that the snow that's all around us is going to go away soon. And with it comes not green grass. In Maine we call it mud season. It's an official season up here in Maine. And just to share with you a little bit of the optimism, I probably did one of the most Maine things I've ever done this week. My boat. I have a pontoon boat and it's stored on the lawn out at camp. And on that lawn at the moment is 10 or 11 inches of snow. And I want to get the boat. I need to do a couple things before sun comes, right before the sunshine and the boat season comes. But I also want to be ahead of everybody else, because if you wait too long, then you're going to be in line. And honestly, the boat's going to be sitting in someone's parking lot when it should be on the lake. And I don't want that to happen. So I took the snowblower, I loaded up the snowblower on the truck, took it out to camp. Snow blowed a path on the lawn so I could get my truck on there and hooked up the boat and dug it out, and just this afternoon dropped it off down at the marina. And probably goes without saying that I was the only boat that got dropped off this early in the season. But early bird, right? Early bird gets the worm. So I'm hoping that I can be up and running and totally ready when that first sunshiny day comes. That's what's keeping me going as we look out the window to the snow. Hey, I've got a winner in the AI Business World ticket Contest giveaway. That. That trip I was telling you about the end of April that Michael Stelzner, their social media examiner, was kind enough to offer up. I've got. I drew a name. I'll share with that here in a minute. And the thing I want to talk about today is. Let's just call it a scoring matrix. It's a review, kind of an editor. It's a scoring matrix. Okay. And I guess that's the best way to put it. Think about this way. Do you have something that you produce over and over again, or do you have something that someone else produces that you have to review over and over again before it goes out or before it gets sent to somebody? Right? Put yourself in a situation to think about this. Do you have a document or a process or something that you do over and over again that either you're reviewing your own work before you give it to somebody or you're reviewing it on behalf of somebody else? Okay. If you do, then you probably have, let's say, standards or categories or aspects or something that you're looking for, Right? Maybe we don't think about it that way very often because a lot of the stuff that we do over and over again is just kind of instinctual, right? Not many of us have a checklist. Some of us do, but not many of us have an official checklist that we go through a lot of. It's just experience and instinct. But I'm sharing with you that if you can create some sort of checklist on. If you were to replicate how you review, if you were to replicate how you evaluate how you edit, what are the things that you're looking for? If you could create that checklist, then you have the opportunity of creating a scoring matrix tool or review or an editing or critiquing tool in a tool like ChatGPT or Claude. I found myself using Claude a lot, especially for writing. I find that it's more. It's warmer, it's more human, it's more empathetic, it's better writing. I use ChatGPT a lot for. For brainstorming and for functional purposes. But I've found that over the last, I don't know, four to six months, more and more of my writing is being done in Claude. In fact, I even compare the two or have the two compete, right? That's what I want, is if I create something in Claude, I'll share it with ChatGPT and vice versa. And I'll say, chat created this. Can you review it? And let's make it better, and the other way around. And it's amazing how competitive the two can come. But I also get what I find some. Some analytical and some empathetic kind of advantages by doing that, because it's almost like two different brains. And sometimes you'll find something using ChatGPT as a reviewer that Claude missed, and vice versa. And so in a lot of the work that I'm doing with clients, we're getting to becoming more and more comfortable and consistent in using tools like ChatGPT and the work that we're doing to create outputs. Now we're evolving to. Let's make sure that you're reviewing consistently, that we're editing it consistently, that we're critiquing it consistently. So I share with you this, the ability for you to create that checklist and to think about what are the elements that I look for, what are the things that I would critique, what would be the feedback that I would give somebody, even if that somebody is yourself in terms of what standard you're writing or creating for. Okay, so that's the first thing you want to do is think about that for a second. Because in order for a person, Remember, we call ChatGPT our amazing intern, and we think of it in terms of a person rather than a piece of computer software, because it helps us kind of have Conversations and think about how to work with it, right? So in order for us to do that, in order for us to scale any sort of activity like a reviewing or scoring matrix or something like that, we have to give it the structure. We have to give it the information that we want it to review. So think about that for yourself. What would I do if I were to create a checklist on the categories or the attributes or the elements of this? Right? And you might come up with four or five. And then, you know, you can do one of two things. You can try to give some depth to those four or five things, those attributes, or you could feed those attributes into ChatGPT and say, I need to create, you know, structure around my reviewing process because I want to create a scoring matrix. So here's how we'll do it. You have heard me say before that I have a four part framework for having productive conversations with tools like ChatGPT. And that four part framework is this. Number one, always identify what we're doing. Number two, why are we doing it? Number three, what does success look like? And number four, giving it permission to ask me questions. Do you have any questions for me? So in this instance, if we want to follow that framework under the guise of the review, we would share with it. Listen, I create. This is like the conversation I would have, right? I create and let's just call it a sales proposal, okay? We'll just follow that matrix at the moment. I create sales proposals over and over again, or someone else creates sales proposals that I review before they go out. And I want to make sure that not only are we being consistent and true to what needs to be done, but we're doing our very best work. So I want your help. I need to create a review editor and I want to create a review editor that will review and assess on the following elements or attributes or areas. And this is the, you know, the areas that you've just determined. Okay. And you'll list them. Okay. And again, this is the same conversation. This is just one conversation. And I want you to help me score the work from zero to five on each of these elements or categories or attributes. Zero being not even close and five being absolutely perfect. And obviously there's variance between. My goal is to always have at least a 4 on all categories. Okay. How would you suggest that we proceed? Okay, what questions do you have for me? How would you suggest that we proceed? And I would leave it at that. Now, that's not an exact prompt, but you can see the conversation going. I've shared with them what we're doing, and I'm showing why we're doing it. And I've determined what success looks like, and then I've given it permission to ask me questions and I'm asking for its feedback. Okay, so again, I want to create this. I want to make sure we do our best work. I want to create a review editor. I want to review on the following elements or categories. I want to score each of the categories 0 to 5, 0 being the worst, 5 being excellent. My goal is to always be at least a 4 on all categories. How would you suggest we proceed? Now, here's what's going to happen. When you have that conversation with ChatGPT or Claude or the tool that you're using, it's going to understand what you're doing. It's going to understand the context, it knows now what output looks like. And in some form or fashion, it's going to start to suggest that in order for me to score, I need to know what the categories are. Maybe you've told it, but I need to know what good looks like. So it's going to walk you through questions. Help me understand what good looks like. Help me understand how you perceive in each of these categories what is or not good work. And then when you're done, you're going to walk through, it's going to interview you, you're going to talk about it, and you're going to end up with a long list of instructions. Okay? Now here's the kicker. When you're done, when they've interviewed, you ask, how can I use this? How can I use this? Can you export or can you create a final output that I can save and use over and over again? Or perhaps I'm going to go over and create a custom GPT and if you're using ChatGPT or a project, if you're into projects, if that's the case, then again, give it to directions. I want to take what we've just done and I want to add these as instructions to a project or add these as instructions to a custom GPT. Or perhaps you just want to have one final output that you can save and use over and over again in the same conversation. If you're using claude, this could be, they call it a skill. In Claude, you can literally say, okay, let's take the work that we just did and create a skill from it and kind of like a custom GPT and ChatGPT, Claude will create a skill which is a reusable component that it refers to over and over again to help you do the work. Or just like ChatGPT and Claude, you can perhaps put instructions into a project. But the key here, no matter how you use it, the key here is to tell ChatGPT or the tool that you are in need of creating this editor, give it the elements and then have it work with you to pull from you, have it interview you, to pull from you, what good looks like. Okay? And it may ask you. It did. When I did this with a client, it asked me for examples of what good looks like. And that's even better because it can analyze, right? It can analyze what good looks like and bring that in. But the goal here is to define the elements and the range by which what bad and good looks like, you're going to be. You're going to be, I said, impressed or relieved or perhaps even surprised that when you take time to spell out what you think about intuitively, the ability for this to think like you, to help you, to help you be more efficient and to help you rate and score is going to make things much more efficient and consistent for you. Okay? So when you're done, the output is going to be, let's say you've got a sales proposal. This is how you would use this, in the end is I want to use my editor, my reviewer, my critique tool that we created. I upload the proposal, I share the proposal, and I say, go to work right now. Go to work could mean in the simplest form, you've just got a conversation that you use over and over again because you've created this prompt, right? Or if you've created a project or a custom GPT, you've added it to it. But you can say, listen, I want to use this reviewing tool. Here's my proposal. Go to work. And it'll give you an outline of its analysis. It'll give you the five, let's say the five categories you gave it, it'll rate it and give you suggestions on how to make it better. Now, how you do this is really up to you. What I'm giving you is not gospel. This is not a black and white copy. Paste this and everything's worked. What I'm trying to give you is the structure, the framework to have the conversation with ChatGPT, or the tool of your choice so that you can think about how you evaluate, how do you score, how do you critique, how do you review, how do you edit? Most of us don't think about that. I think that's the bottom line here, that I'm Finding is most of us don't think about how we should do it, right? And even, at the very least, even if this helps you find things that you haven't thought about, right? You're making the review process more objective and you're making it faster, more efficient for you. Okay? So think about that. How can you take something that you do over and over again and expedite the process by sharing with it why and how you review and what you review it for. Right? Let me know. I would be interested to hear how you're using something like this, this already. If you are, or if you give it a go, if you have a conversation, share with me how it went. I'm finding that it is helping others see objectively because we get so into the weeds, don't we? Like I've said it before, the crust of knowledge. Sometimes it's very hard to look objectively at something because we put so much time into it or we do it over and over again and it's hard to. I'll tell you, this is specifically. It's hard to think about the other person, right? It's hard to put ourselves in the position of the other person that this document is being meant for. I said the sales proposal was something as an example. It's difficult sometimes to put yourself in the seat of the customer and look objectively at a document and act as if we don't know everything that we know. That curse of knowledge is real. So the ability for you to define what the scoring matrix is and define the elements of what good and not good look like will help give you an objective set objectively for the audience and the purpose that you're creating. So I hope that was helpful. And again, share with me any feedback. Give it a go and let me know. Let me know how you do. Okay, let's get to the giveaway. Drew a name, and the name is Heather Thorsen. Heather Thorson of HT Artistry. I did a. Just a quick look. Looks like Heather's down in Boston. So congratulations, Heather. Tickets to AI Business World out in Anaheim, California at the end of April. Thanks to Michael Stelzner, Social Media Examiner. I think you're gonna have a fantastic time. Heather had mentioned in the entry that she came in that she has been captured by all the various ways to leverage AI, but she knows she's only scratching the surface. I would love to attend the conference so that I can learn but also share with my industry peers. I've always been fascinated with technology and I'm always looking how to incorporate new tools to expedite processes. Well, Heather, I think you're going to find there's plenty, plenty out there for you to benefit from and to learn and some great people to mingle with. So congratulations. Congratulations to you Heather. And like I said, I will send you out an email so you can get the details from me there. Okay, well that's it for today. Hope springs eternal. So as I look out the window here, hopefully the the amount of snow goes down and down and down, but I hope you find some value from here. Again. Let me know how you put this to work, let me know the kind of the outputs and what you found. I always love hearing from you. ChatGPT experiment.com is where you'll find ways to get a hold of me and all the the Episode Archives first time listeners, welcome to the show. I've heard from a number of people here, the first of the year that they're just now getting into ChatGPT kind of exploring and they've gone back into the podcast and have found it terrifically helpful. So I do appreciate that. If there's a topic that you want to hear about, shoot me a note. I'm always looking to make the show more relevant and valuable to you. So if there's something that is on top of your mind, shoot it in. Love to have a conversation about it. And otherwise, as I say, the most important element to becoming more comfortable and efficient with ChatGPT and tools like it is your own curiosity. Okay? So until we talk again, do stay curious. Bye bye.
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Ryan Reynolds
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Instacart Spokesperson
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