Demonstrates how to use Anthropic’s free console tool to automatically generate more effective prompts for language models.
Transcript:
Getting a language model to work the way that you want it to isn’t always easy. Thankfully, we can use AI to actually make the job of using AI a bit easier also. What you’re looking at here is the Anthropic Console. You can create a free Anthropic.com account and navigate to the console and from there you can use it to generate a prompt for you. In this case, the prompt that I’m looking for is used to develop a document summary for a technical resource making it easier for a project manager to understand. You can see that there’s a significant difference between simply asking the language model to summarize a document versus this prompt here. So when you’re next stuck trying to get a language model to do what you want it to do, try using this tool instead.
Dispels the misconception that AI can build production-ready apps with a single prompt, emphasizing the real complexity of software development.
Transcript:
Hey everyone, today I’m going to show you how I can build an entire app in just one prompt. That’s right, no coding required, no complicated setup, just a single prompt and we are done. I’m going to use this amazing AI app builder that I found. So here it is here. Build me a complete Instagram clone for my conference with user authentication, photo upload stories, comments, likes and a discovery feed and all we have to do is click on the go button. I never really thought about all of those things. Okay, let’s be real. As someone who’s actually built platforms like these, I created this demo to highlight something important while AI tools are incredibly helpful for specific tasks. There is a dangerous misconception being spread that building production ready apps can be reduced to simply describing what you want. Building isn’t just logging with username and password. Instagram processes are a billion logins daily with sophisticated security protocols. Content moderation isn’t just remove bad posts. Meta has over 15,000 employees who are there to manage harmful content. The reality is that while AI can help with specific coding tasks, real development requires incredible complexity and business considerations. Data bases need to be resilient, backed up and be able to store and serve massive quantities of data. Security systems need to prevent data breaches. You need monitoring tools, logging systems, real-time notification systems. I made this video because I see too many content creators selling a fantasy that AI has made complex app development trivial. It hasn’t. What it has done is create powerful tools that can help with specific aspects of development. Don’t get me wrong, AI tools are amazing and I use them daily. But they’re tools, not magic. So next time you see someone claiming to build a complete Instagram clone with one prompt, remember this video. Buy all means use AI in your workflow. Just don’t fall for the myth that it’s reduced development to a single prompt.
Shows how to create personalized writing styles in Claude by analyzing your own sent emails to make AI-generated content sound like you.
Transcript:
In today’s video, I wanted to show you a technique for being able to get a language model to sound more like you when it’s generating content. One of the ways that I see a lot of people using a language model is to generate content for, could be marketing campaigns, could be an email, a response to an email, a whole range of different things. However, getting the language model to actually sound like you is a challenge. Now, in Claude, we have the ability to use writing styles. There’s four writing styles included as standard, but you can create your own writing style. So I wanted to show you the key differences between them and then give you an idea as to how to create your own writing style. In this case, it’s a pretty straightforward prompt, nothing too detailed here. We’re just asking the system to generate an email that we might use on a day-to-day basis. The initial response is okay. It’s giving you what you asked for, but it’s very generic in its response. It’s very vanilla. There’s no personality. There’s no indications that you’ve actually written this message. So here’s the same prompt, but with my own personal writing style applied to it. And you can see here that the output actually sounds like something that I would write. You may not be familiar with my writing style, but it’s generally relatively brief, bullet point related. Here’s the outcomes. Here’s what we need to do next. So let’s have a look at the writing style. This is a relatively lengthy description of how I communicate. So how did I actually generate this? The process I used was a very specific prompt that was written that analyzed emails from my sent items in Outlook. So one day I took about the last 100 emails that I’ve ever written. I anonymized them and I gave them to the language model with a specialized prompt and it then in turn developed this prompt for me. That’s a pretty common aspect of using language models in a smart way. So if you’re generating content using a language model, getting it to sound like you is critical. So let me know if you want to know how to do this.
Provides an overview of Claude as a ChatGPT alternative, showcasing features like writing styles, form prototyping, and data visualization.
Transcript:
Today I wanted to show you around my language model of choice, which is Claude. You’ve no doubt played with ChatGPT. Claude is an alternative put together by an organization called Anthropic. And most recently they released Claude version 3.7 Sonnet. The names of these language models are all a bit odd, but this is a combined reasoning and generative model. So that basically means it’ll do the same sort of things that ChatGPT will do. Combined with the sort of things that DeepSeek is doing in terms of reasoning. So it thinks its way through problems. There’s a lot of reasons why I like this tool. Firstly, it’s got writing styles. So whenever it’s generating content, you can tell it what type of content you’d like to generate and you can even apply your own writing style, which I’ll show you another day. There are some amazingly useful things, though, that Claude lets you do really easily. So here’s one quick example. I was trying to prototype a form for a customer’s website and I described the form that I needed. And in real time, Claude was able to actually build out that form for me so I can see what it might look like, even down to the point of having conditional logic here. Claude also works really well with images and screenshots. So for example, this was a problem I was having on a website I was trying to resolve. So I uploaded a picture of the screenshot, asked that where I should start with this problem, and it gave me some information as to where I should start looking. One of the other things Claude’s really good at is building out many programs. So in this case, I had some data from a spreadsheet that I copied and pasted in and I said, graph these numbers and extrapolate through the next six months. And Claude produced a nice visual for me here that allows me to see the actual data versus the projected data and it’s dropped it onto a graph so I’ve got it available to look at. The other great thing about Claude is that synchronizes between the desktop, the website and mobile, so you can take all of this with you too. So if you’re looking for an alternative to chat GPT, try Claude.
Shows how AI can build custom one-time tools in minutes, using a New York trip planner with interactive mapping as an example.
Transcript:
Today I wanted to show you how things have changed a little bit for me when it comes to solving problems. My partner and I are heading overseas shortly. We’ve got about five or six days in New York, and we’ve been trying to plan out our activities. The thing is, I don’t really know much about the York. I’ve never been there. And so trying to get a visual on where everything is has been difficult, working out how far one thing is for another. And so to help what I’ve done is I’ve built a little tool. And the important part here is not the tool, but the approach that was taken. Historically, I would have gone to Google Maps and maybe tried to create a custom map that has all of these pinpoints on it. However, now we’re at the point where we can build these one-time tools in about 15 minutes, and that’s what this tool is. I’d to go through a data collection exercise, we figured out the restaurants we wanted to go to. The shows we’ve already booked where our hotel is all of the different activities that we want to do. And to do that, I just point to AI tools at blog posts for restaurants and at something called the New York Pass for attractions. And rather than me spending time going through and taking that information and copying and pasting it and figuring out coordinates and putting them all on a map, the AI did that for me. The calculation of walking distances is done based on the speed at which we walk. It’s mobile friendly, and so I can host this somewhere and actually have it available for use. And it allows me to then turn things on and off. For example, if we’re seeing a show and we want to go to a restaurant, then you’re aware of the shows are. And here are some of the restaurants that we want to go to. And it’ll tell me how far away it is to walk to these things. My point is that AI is now giving us the power to build these one-time tools in a very short amount of time to solve very specific problems. And even though in this case, the example is personal and travel-related. The concept still applies, whether you’re solving a personal problem or a business problem.
