4 AI tools to help with your side hustle: One ‘increased my website traffic by 30%,' says expert
You could rent out your home to travelers on Airbnb or Facebook, pet sit for families going away, create social media content about your job — the opportunities are endless. If there's a chore that needs doing, someone could very well pay you to do it.
And there are tools to streamline and make your side hustle easier once you've gotten started. That includes various AI tools introduced in the last few years. Here are four to consider using according to side hustle experts.
Claude is a generative AI tool built by Anthropic. Like ChatGPT, you can use text, audio and visual prompts to create various written content.
Jen Glantz, founder of Bridesmaid for Hire and the creator of the Monday Pick-Me-Up and Odd Jobs newsletters, uses Claude "to write out social media strategies and posts," she says. "I will share my own social media pages as well as other people's content I admire. I'll ask the tool to generate a 30-day plan for me with captions, posts, hashtags, and more."
There are three plans for those interested in trying out the bot: a free plan with basic capabilities like analyzing text and images and creating content; a $17 per month plan, which allows for access to research and connecting to Google Workspace; and a $100 per month plan, which offers early access to advanced Claude features.
Swiftbrief is an AI tool geared toward improving SEO strategy.
"The tool helps me identify topics I should focus on by analyzing my website and competitors and then writes the blog posts for me," says Glantz. "This has saved me thousands of dollars and increased my website traffic by 30%."
Subscriptions cost $12, $119 or $239 per month, depending on the amount of insights you want to derive from the bot.
This tool allows you to create and manage automatic messages with people who interact with your social media platforms.
"You can program it to answer direct messages and also to share links with followers if they comment on your posts asking more about products, outfits, or items that you share," says Glantz. "It's like having a social media assistant on-call 24/7."
If you've seen a call to action on Instagram like "comment 'toast' to get the recipe" and gotten a DM with that recipe, that could have been Manychat at work.
Subscriptions range from free to "customized to fit your needs," according to its website.
Manus is an AI tool designed to do complex tasks like create websites, analyze stocks and build itineraries.
Side hustle expert Daniella Flores has used Manus to build a Pinterest schedule for the month, including images and descriptions they could post, for example. "You can tell it to do, like, 20 different things if you want to in one message," they say, adding that "it'll show the windows that it's browsing, what it's doing behind the scenes." You can tweak your ask even while it's working to ensure you get the results you're looking for.
There's a free version of Manus, as well as versions that cost $16, $33 and $166 per month, depending on the amount of video generation, slide generation and other capabilities you want to use and unlock.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
WIRED
an hour ago
- WIRED
Subscriber-Only Livestream Replay: Beginner Advice for Claude, a ChatGPT Alternative
Reece Rogers Kylie Robison If you missed WIRED's live, subscriber-only Q&A focused on the software features of Anthropic's Claude chatbot, hosted by Reece Rogers and Kylie Robison, you can watch the replay here. Hello WIRED subscribers! Thank you to everyone who attended our most recent AI Unlocked livestream Q&A session, Chatbot Basics: Beginner Advice For Claude, a ChatGPT Alternative . Staff writer Reece Rogers and senior correspondent Kylie Robison provided an overview of Anthropic's Claude chatbot, one of the most-used alternatives to OpenAI's ChatGPT and popular with AI insiders. They also answered audience questions about all kinds of topics, such as the main differences between Claude and ChatGPT, why chatbots hallucinate, privacy considerations, and even using chatbots for spiritual guidance. You can watch the livestream below, and find all of our previous livestreams here. Transcript Note: This is an automated transcript, which may contain errors. Reece Rogers: Hello! How's everyone doing today? Thank you so much for tuning in. I'm excited for another subscriber live stream. I've enjoyed the past ones of these, and today we have a very special guest. We have, Kylie. I'm Reece Rogers, by the way, and I would love for you to introduce yourself. Kylie Robison: I'm Kylie Robison. I'm a senior correspondent covering AI here in San Francisco for WIRED. Reece Rogers: Brilliant, read her stories. She has some good ones in the works. We can't talk about it, but they'll be up soon. But yeah, thank you everyone for coming today. We're going to do another Chatbot one. It's been really fun, kind of experimenting and learning more about Chatbots. Together we did ChatGPT a little while back. And now we're here with one of its main alternatives, Claude. We have some great questions from you. I have a demo ready to go on my laptop. Your questions coming through here on my phone so definitely, go ahead and drop any questions you have that you want. And for this one we enable that you can like respond to each other in the questions and like upload questions, so we won't be able to get to all of them. So if you see one you really want answered, go ahead and upload that. We just ask that in in the comments, keep it civil. Keep it respectful. We're here to learn. You can have different opinions. But please be respectful. And yeah, we will send a recording out in a couple days. And the last housekeeping note right at the top: There'll be a one-question feedback survey at the end. So feel free, anything you want to share with us about this or other things working out WIRED, we'd love to hear your feedback any time. So I would love to start with the main event for today, which is our little software tour of Claude. So, as you can see right here on the screen, it says, Welcome, Reece. So this is the desktop version of Claude, so this might look a little different if it's on. You know your windows, or if it's on, this is on a MacBook, or if it's on the app version, there's also app version of this available. So like, I think, let's before I really dive into the software tour. What is Claude? Kylie Robison: Yes, so Claude is a chatbot released by Anthropic, which is, some would consider like the second running lab behind OpenAI. They have a more boutique way of going about creating AI, and you might find it slightly more friendly and engaging because they do a lot of work on personality. And yeah. Reece Rogers: I completely agree. And you see that coming into the coming back to the software tour here. You can see that kind of in their branding as well like it's a little warmer. It's a little friendlier experience, and you might get out of chat. So let's I'll start off just with like the tour aspect of this. So right here we have the prompt section and then along the bottom, you have some pre-written topics. So this is, if, like you showed up, you're like, I don't know how to use a chatbot right? I'm not sure where to start. I'm not sure how to write a prompt what should I do? These pre-written stuff? It's a good place to start off. So like, let's click this life stuff one and then help me work through a decision. OK, let's try that one. So we click through that here. And then you see that it went ahead and populated a longer prompt right? This is about two paragraphs with a lot of context, and it's helpful. These aren't. You don't have to write long prompts like this all the time to get a good response. But this is a good way, a good example. So we see here, I'd love to help you work through a decision. Give me the best guidance. What's the decision you're facing? And what are the main options you're considering. So this is a kind of it's asking you questions to follow up. And you could just talk back and forth with that for a while. So that's kind of how we're going to use the main prompting area you see here working on the free version. So we have opus. We have sonnet, and those are going to be their two models that are the newer ones that they're available on the Free Level, and if you upgrade it to the pro, which we'll talk more about the pro paid versus unpaid later. But you have even more options. And then, just to go over the other settings. You can work through. If you want to change the style you go in here, and you can do use style. So this can be. Say, I want it to be very formal when it talks to me, or I want it to be very explanatory like, you can also go ahead and create your own style, using AI. Say you, don't. You want it to be kind of mean or rude to you? You know. Why would you want that I don't know but these chat bots are very adaptable to the kind of personality that you're hoping to get out of it. And then let's go next. We're gonna go see these settings. So here's also right here. This plus button is where you can upload a file. Take a screenshot, add from Github. So let's go ahead. Let's upload a file. Let's see what's up with that. So I go here. Let's go to my downloads. Let's go to our holiday calendar. So this is this is something that you could do with. Say, you're getting a big document with a lot of dates on it. Say that you're trying to follow along with your your grandson's baseball team schedule like this, and you're like not sure how to approach it, or if just any kind of document that you want further analyze, you put in the Claude, say, like. What's the best way to plan my vacations for the year based around this calendar? So what it did here, right? It took a look at the file. It picked some good dates off. But now I kind of. I like this. It's a little boring. So let's go ahead. Let's make it a little more visual. So I think when it comes to visuals, that's where I think Claude can really help you visualize data. And so like, let's make a table Miami table. So you see here that it pulled up an artifact. So artifact is when Claude basically is running or generating code on the right side of your screen. So right here, it's using code to create a visual table for me. Kylie Claude's kind of known for code, like, what? Tell me more about that? Or like, what's maybe another benefit of Claude. Kylie Robison: Yeah. And you know, you don't have to understand the code that it's running here. And that's the great part. It's coding for you right now, a lot of software engineers like using any sort of AI for coding tasks. And Claude has been a really big one. It's about clean code, just like it is for writing, you know. You don't want it to draft something that's quite terrible. So it's the same for code. Can it be efficient and elegant? So that's why a lot of engineers will use Claude code too. You can use it to create a website. You can use it to create an app. And it's really helpful getting you started Reece Rogers: They just recently rolled out more stuff to connect it with APIs, so if you're into coding Claude is a pretty popular pit among chatbots. So if you see here it took a minute. But now it has a very visual kind of layout that you can look at you can get has efficiency scores. I don't know how it calculated that. So I would look into those, but this is like kind of a good example of how you can take kind of a document that's a little dry and make it a little more appealing. Pull out key information through Claude. Now I have one more quick, demo. That just kind of shows off something. I think Claude's really good at that. You might not get as much from with ChatGPT. And this is, I think you can do decent quizzes like it's using the artifacts. So like, let's do. Kylie Robison: I'll also add, if you know, like with that weird percentages, it's like, what does that even mean? You can tell Claude like, what was that? Can you remove it? It's really great, and, you know, responding to your needs. So if there was a part of the dynamic calendar that you got, and you're like, I don't need this. You can just ask it to remove it, and I'll do that. Reece Rogers: Let's create a quiz for beginners. Want to learn more about chat box, Kylie. Give me like an aesthetic like a color scheme. Kylie Robison: A color scheme I love like a like a soft pastel. Reece Rogers: Yes. OK. So as it's generating that, let's go ahead. So yes, there's one more thing on the software tour. Thank you for thanks for hanging out today. I really appreciate it. Let's go back here. I'll let it finish generating but one question. I really wanted your insights on Kylie. We got this great question from a reader pulling that up here. Jeffrey says, I appreciate that Claude is ethically aware other than that. What what makes Claude a better AI than its competitors, and I kind of want to unpack the first part of that question more like. What would he mean by ethically aware, like, how does Anthropic approach Claude differently than other AI companies? Kylie Robison: Yeah, they're really open about what the foundation of Claude is. So what does it think? How does it make its decision? So it uses something called a constitution? So you can think of it like, you know. I know that certain things are bad based off, you know, universal declaration of human rights that is like an agreed upon document for what is right and what is wrong for humanity. It used Apple's term of service to avoid problems with accuracy, and these are all things you can find online. It is published exactly what goes into this model. And it's sort of the foundation of how it's going to respond. And the point of that is for it to understand. You know the nuance, the messiness of humanity, and be able to deliver you an answer that's accurate, and also what you'll hear a lot from these labs, harmless and helpful. Reece Rogers: I feel like you kind of get that when you're using Claude like it's approach to answering questions. It's kind of hard to describe the different vibe. But there is a different vibe when I'm chatting with Claude versus Gemini or ChatGPT. Kylie Robison: Yeah, I was really blown away by Claude for a long time, because they were really ahead of the other labs and personality work. So it felt like something warm I hadn't encountered before, whereas the other models at the time were really quite mechanical. That was earlier this year and had talked to someone on their personality team about this very phenomenon. They have sort of a philosophical view, you know. Once you start getting into the nitty-gritty of AI, what is intelligence. What is consciousness? How do you make something good? These are the things that they really want to tackle, and other labs to be clear are catching up, because it's clearly very helpful for the product. Reece Rogers: Yeah, OK, let's go back to this quiz. The quiz is done generating. So this is something that it spit out using the free version that you could make this for basically any topic that you wanted. So we have like, what is a chatbot, you know. Is it a social media platform for chatting like? Let's click it. Oh, that I don't think that was right, but you know, so you could go through these types of quizzes and say, if you wanted it harder, say, you wanted different versions? So I think if you're thinking about, how can I use Claude in my everyday kind of life? I mean, this is a fun example. That ChatGPT isn't as strong about but if you go back to the basics. Go back. OK? Sorry. Once there we go. I was looking for this there. So we're in the settings. Now let's go back. We're going back to the software tour just a little bit here. So we had a lot of questions about privacy. Right? Privacy is very important when it comes to interacting with any AI tools, I think it should be top of mind. I am someone who, I think, being more careful with your privacy than being just loosey-goosey with it is critical, because this can feel private in a way that it's not necessarily sure. So I think if you want to interact with any Chatbot, look at the privacy. So like, let's look at this here together. So it says, data privacy from Anthropic. It's talking about by default. Anthropic doesn't train on our generative models on your conversation. It doesn't sell to third parties. It deletes your data promptly when requested, except for safety violations. So that's some reassuring right? But it doesn't mean you just have free rein to share any kind of information, because, like digging a little bit deeper. It says, you know, Anthropic may use conversations, flag for safety violations, and it also says, down here it may conduct aggregated, anonymized analysis of the data so they they might use aspects of how you're interacting with the tool. So this is, you know, private information that you don't want anyone having any kind of access to. If you're having these kind of deep sensitive and for like just any kind of medical issue, too, is also something that, like, I know, more people are interacting with these and sharing more information. And I'm not denying that it can be helpful if someone wants like a second opinion potentially. But I also think it really opens you up to it. Just if you want your most secure data. If you want to protect your privacy, interact with these chatbots like you might interact with Facebook. It's because, like, it's not as private as you think, I feel like I'm just repeating myself. Kylie Robison: It's true, I think. Well, I'm thinking about something more like AI focused in the headlines, which is. you know, the New York Times is suing OpenAI over, you know, using their content. And a battle right now is that they want to obtain some of those user queries. And OpenAI is fighting really hard against that. But that's a possibility. We could be subpoenaed, you know. A court could decide that we can have your chat. So that's just like one example of you know, being careful. So what I wouldn't do is upload your W2. Your social like. These are things that are really important to keep secure. And these chatbots just aren't secure in the ways that you can upload sensitive information like we said. Reece Rogers: Oh, and one of your great pieces recently was about Meta AI, yes, so like in Meta AI. Recently the Chats were more public than people thought they were. So they were being shared when they were potentially hoping that those were private chats. That's just another reminder that wasn't flawed. But just another reminder of like privacy is critical and crucial. Kylie Robison: Yeah, someone there uploaded like, you know, I need you to develop a character statement that I'm going to give the court based off this person's name. And you know these are the kinds of things you probably don't want the public to see. Reece Rogers: Yeah, OK. Another question from the audience. Christopher asks, are more people starting to pay the $20 a month to use these chatbots. Kylie Robison: Yes, yeah, I would say that. And I just did a panel for journalists in AI the other day. I don't think it's super necessary for bare minimum tasks to pay. It's really important for, like large data analysis, that that can be really helpful. But if you're just asking questions and generating polls and doing basic tasks you do not need to pay. But a lot of these people are techies who want to do those more advanced tasks. And these companies are seeing a lot of money through those subscriptions. Reece Rogers: Yeah. And I feel like, that's really good context. And I feel like my general advice to people is, use the chatbot, you know, find one that you like, and if you're hitting that daily rate limit, often multiple times like, go ahead and do one month and see if you actually are using it enough to feel like you're getting the value out of it. Feel like a lot of people are just kind of dabbling, experimenting, using it for fun. Maybe trying to optimize some parts of their personal life, but not spending all day on it. You probably don't need the subscription, so you know there are some positives that come from the subscription. So like you are getting access sometimes to more powerful models. For Claude, I know you can. Attach it to your Google Workspace stuff. So that's your your Gmail, your Google calendar. You can have some interactions with that as well. There's also like a research aspect. So I think there are reasons to get the upgrade, especially if you see yourself as a more, maybe like mid level, or even like a power user like you're gonna want to use. You're gonna want to have the $20 a month, maybe for multiple ones, if you're a power user. But for most people, a majority of people, I don't think that the $20 a month is a must right. Oh, we just got oh, this is an interesting question. Our producer, Laura, just dropped this fascinating question into here. It says Debbie, just asked on the live. I heard people began using AI for spiritual information. Does Claude facilitate that type of info? That is a fascinating question, Debbie, and I think kind of opens up a whole can of worms. I think we could do a whole live stream just on Claude, and/or just AI and spirituality and personal connections with the chat bots. But I mean, what's your just initial reaction to that kind of thought? Kylie Robison: Well, these models? What underpins them is that it is guessing off of a probability what the correct answer is, so that can become a problem when someone is going to it for truth seeking spirituality work when it is just trying to deliver you the best answer and appease the user. That's its main goal. So if it says like, you know, if you ask, Are you God speaking to me? It has some really strong guardrails against this, but over time, you know, it might lose context, and then might devolve into those hallucinations. And as you've seen, there's been very public stories and headlines about this about how users can engage with it and get those answers of like. Oh, yes, I am an angel speaking to you from the other side. It's really important to know that it is trying to appease you. And it is just an algorithm guessing what the probability of the correct answer is. Reece Rogers: I just want to reiterate that it is mirroring you almost in a way so like, if you're seeking that kind of spiritual guidance like, you can kind of ring that kind of answer out of it, even if that's not what it was designed for, even if there are guardrails around different chatbots. So I think it's something that I would be very cautious about and kind of ties into this other question. A similar question from Lily? She asked. I heard, Claude is a good therapist, Chatbot. How prevalent is this use. What are the pitfalls of using Claude this way? Actually Anthropic dropped something this morning with more information about that. So they were talking about how I think there's around 3 percent of the conversation fell not into therapy, but more of like advice, seeking or more kind of this looking for, you know, something social out of the chatbot, and it is I want to. I want to use my words carefully here. I think it's a sector that more people are diving into, but not necessarily. It's not very healthy for a lot of people. Kylie Robison: Yeah, I will say, because I got this question on NPR. Once someone said that they had had a head injury, and they knew all the pitfalls. They know that it's not actually a friend. It's not, you know. It's just a machine, but they found it really useful, and it's hard to write that off right off the comfort that they felt. And I want to say that, like I used Claude through this app called Rosebud, which is sort of this, like AI journaling app, and you can choose the model. I chose Claude, because I like its personality, and I think it's good to interact with. And I found it really useful. When I was like, I was changing jobs. I was traveling. I had some big speaking engagements, and I was just stressed, and I couldn't talk to my friends all day every day. you know, just processing what I was jumping into, and I found it helpful and just like sort of a bridge of like, I just need to get all of this off of my brain, and then it goes. Oh, I remember last week you said this so it's helpful. However, it is no way a replacement for real therapy, real friends and family. But I don't want to shoot down that. It's, you know, helpful for certain use cases. Reece Rogers: Yeah. And I think that's something where you almost just sort of know yourself and like, watch your patterns like, am I? Turning to this chatbot every night when I need an emotional support. Yeah, like, that might not be the healthiest. But if you know you have a huge life decision coming up, and you just want some outside perspective. And maybe it's something that you don't feel comfortable talking with your family about like, I think it's acceptable in that situation, probably very beneficial for a lot of people. Kylie Robison: But it's also a mirror like you said, Yeah, so you know, it's like, not some completely independent thing that's going to provide you the most decisive action on whatever issue you're facing. It's also trying to appease you and keep you engaged in many ways. So it's going to mirror what it thinks you want to hear. So that's something really important to keep in mind. Reece Rogers: One story I have on that is, recently I was working on this difficult draft, and it just wasn't coming together. How I thought it was going to. And so I put it into Pod. And I said, you know, like, imagine you're a WIRED editor like grade this draft. What feedback? What would you change? Because while at WIRED we write everything ourselves that's not generated like I can use it for maybe research, or just maybe kind of bouncing ideas off of. And it says the article is fabulous. It said a plus, I even think. And then I turned it into the editor, and they didn't love it as much as Pod did. So I think that is a really important thing to keep in mind of like if you're turning it to it for this kind of support, like it's going to support you. Kylie Robison: Yes. Reece Rogers: Like that doesn't necessarily mean you're making the right decision. Kylie Robison: I had this same problem with the draft recently where I was bouncing ideas off of it, and it was about AI. So I was like, OK, it's going to have helpful insight for me to research. And then I realized, like I don't think my idea is good, and it's just telling me my idea is good, and it's not going to deviate from that. So then I'm just like in this, you know. Chain this echo chamber. And that wasn't helpful. I was like, OK, this, you know, you have to be aware of its pitfalls going into it and talking about the pitfalls for a second. Reece Rogers: We have a couple of great questions. I'm gonna pull this one up from Rick. Thank you, Rick, Rick says I found Claude to be very helpful, but sometimes concerned with answers that I know not to be correct. When I pointed it out, Claude was profusely apologetic. How can we be sure that we're getting accurate information on topics we might not be well versed on? Kylie Robison: Great question. You can't. You cannot be sure that what it's giving you is correct. And I just said this in a different panel. I was given some information because I was researching a topic, and it referenced a very good media source. And when I went to that media source and then I went to the research that media source was referencing. They had misconstrued that information. So like you really do have to go and fact check. And as journalists, that's where we're very well versed in going deep and fact checking the smallest details. So this is why I always say, for Chatbots don't use it, for like high-stakes things, and it's going to be wrong. I feel like every conversation I've had with the Chatbot, and I talked to them so much as an AI reporter, they are pretty consistently wrong. Reece Rogers: Yes, and pretty confident, too. Kylie Robison: And pretty confident. Reece Rogers: But you're right that they will apologize if you call them out. Kylie Robison: Yes. Reece Rogers: Which is kind of I always think it was a funny response. I mean even preparing for this conversation. I asked Claude, like, what are the differences between ChatGPT and Claude? And he gave me a list, and I said, Wait, I I know, like point three and five are wrong. And it was like, Oh, I'm so sorry, can I? Didn't it? Said the right thing. But I you know one. One way to kind of double-check. Your information is to use the web links. So if you go here going back to the software. So like, let's say, like, what's what's going on with the New York Mayor, race. So if you see here right, I have web search turned on. So that means it'll definitely, explicitly link out to web sources for this query, and that can be really helpful for more topics where you're wanting it to be accurate. You know, there are some that I think finding places. The gray areas is important in the way of, like, I find chatbots really helpful for low, low, level, low-stakes tasks. So if, like, I was showing my parents around San Francisco not too long ago, and my mom loves to learn about different foliage, different trees. So we were, like, you know, taking photos and uploading into a chatbot to just like, do a quick identification like that's another one. Where, like we got the tree wrong isn't the end of the world no kind of fun? So like I think those where it's like not make it or break it. Another one that I use at home all the time is when we're trying to think of a specific episode of a show. We want to rewatch. Kylie Robison: It's good for that. Reece Rogers: Yeah. So I can be like, Give me the American dad episode where this happens. And that happens, and then it's pretty quickly able to find what episode that might be. So these are examples of like that. One might have been hard to put into Google Search. Kylie Robison: I have an example. I had a candle I really really loved, and I had ripped off the label, and I was like I don't know what this is, and some of the label was still there. I took a picture, and I went back and forth about like what it smelled like you know what I thought maybe the name was, and after, like four or five like back and forth, it got it. And I still, I still love that candle and buy it. But I would not have been able to do that with Google. Not that I've experienced yet. So it's really helpful for those low-stakes tasks. Reece Rogers: What else? Oh, so if you go back to the Claude software Demo, so you can see here. So we search what's going on with the New York City Mayor race? And then right here you can pull out. Here are all of the sources that it linked out to. So you can look at the top here, and it has all of the sources. If you kind of scroll a little further down, you can see it's embedded sources throughout the the answer. So like, that's a good way to just kind of double-check information. If you want any other tours drop, like any other examples for us to do right. Now, I'm more than happy to do more examples. But if you have specific ideas of what you want to see. Drop them in the chat, and we can get to those. Let's pull up the questions. Oh, that's a good one from Amanda, Amanda asks, when initially setting up a style for Claude, what are the best parameters for optimizing objectivity, to avoid getting responses that appease me or simply agree with what I'm saying. Wow! That's really thoughtful, Amanda. Kylie Robison: Yes, I agree. I think that you know you saw those presets earlier that were like two paragraphs that really help, because it can take a lot of prompting to get exactly what you want. And this is sort of like a right out of the box. This is what you want. We have created a prompt for you to use to get what you want, because we know exactly how to prompt the model. going into it. I think you can say I need you to be as objective. I've used it to argue a point I have. I really like, want to dig into my beliefs like, why do I believe a certain thing? Can you take the counter argument? And it's really good at that, actually, of arguing with you. So I think it's, you know, one way to do it is like, always take the counterargument, remain objective, remain neutral, think you know, just as you would sort of prompt a second grader to talk to you about a topic like, how much information can you give them to? To give you an answer that's desirable. That's accurate. There's no wrong way to just like get everything you need. Just put that in that initial prompt. Reece Rogers: Be direct. Kylie Robison: Be direct. Reece Rogers: Like, it's not going to be able to understand what you don't share. Yeah. So like, if you want it to be objective, you have to tell it, because just like as Tyler already mentioned, like, this is a pattern machine, in a way. So there's not something some like deep I don't know. It's not a person on the other side. There's no other way to really say that. So like treat it like the tool that it is, and use specific parameters use specific asks and like, we can go here. So we're back at here. You can create your own style. So like. Say, if I had a big document that had maybe all of the emails I've written, or you know, or a section of them, that I feel comfortable sharing. You could add your writing examples. And then it would have your email writing style right? Be able to do like a decent amount of answering like how you might for that. So if you want to describe a style like you could literally ask it to do all the things that Kylie mentioned, and just kind of tailor and personalize more to what you're looking for, the type of assistant you want to interact with. Kylie Robison: I do that like, I'm a reporter at WIRED like this is a little bit about me, and it's been a while since I've updated that. But it can be helpful and just saying like this is the type of person I am. These are type queries I'm looking for. And this is how I want you to respond to me. And someone asked in the chat. Martha said, you know I brought up that it remembered something I had said. This was Rosebud, an app that I was paying for in it, and you had to pay for the memory. So that's also a plus of, you know an upgrade is that it has longer memory. I find the memory is better in ChatGPT, but I have the paid versions, and you can say like, remember, when I said this, remember when I said this, but that's like something that you're not necessarily going to get in a free tier. It's not, you know. Imagine all of the data, all of the photos you've uploaded to your iCloud, you're probably paying for storage for them. It's like, why would we give a free user to take up all their context, you know. That's that's sort of what they're looking at. Reece Rogers: That makes a lot of sense. I'm kind of building on that you know. We talked about the $20 a month plan. But we really didn't just directly talk about what's the difference between ChatGPT and Claude like? There's a few ones that are obvious to me as in Claude, can't generate images. So if you're trying to generate, if you want to, if image generation is important to you, ChatGPT might be a better option. Claude is also a lot newer when it comes to they do have some voice capabilities that they're. I think they're rolling out. But if you, if talking back and forth with the chatbot is really important to you, that's something else that I think ChatGPT might do better. Kylie Robison: They just rolled out new capabilities for voice mode within ChatGPT. And it's eerily uncanny. Reece Rogers: Yeah, no. When it comes to like which one do I use day-to-day? ChatGPT is still the winner for me in my like daily use, just because of the voicemail. But also I think it's another one like the memory is really strong. Yeah, on ChatGPT. Kylie Robison: Yes, definitely. Reece Rogers: If you were, if you were picking between the two like, what are maybe some other differences that people might notice. Kylie Robison: I was a real hard Claude Stan when the personality was like the leader in the space, especially as a writer like, I'm looking for creative feedback, and especially, you know, from working late at the night. I'm not going to bug editors for everything that I'm curious about. So I was a big Claude Stan, and this is a very silly point. But Claude kept logging me out, and ChatGPT got better. So I've mostly used ChatGPT for questions, and I find its web search to be better. And you were mentioning image generation. One guess I have. I'm not sure but this is a guess. Is that the reason Anthropic hasn't rolled out image generation is that it can be really, really thorny for issues like deep fakes, you know, and a lot of image generation models have come into this problem. Xai's Grok, you know, has copyright issues of, you know, Mickey Mouse, with a gun sort of deal. So this is like an example of their like slow approach and safety-minded approach. But yeah, I would say, memory is a big thing for ChatGPT over Claude. I would say. Claude is still a better personality, and, like creative partner than ChatGPT. I think Claude has stricter guardrails for sycophancy, and so like agreeing with everything you say. And as we've been talking, I asked if it was God. I just wanted to know what guardrails were, and it said, No, I'm a chatbot created by anthropic to do. Xyz, which is part of its foundational training, to say, like you know, ground in the truth. You are a Chatbot, so those are some of the guardrails, but they're not perfect, of course, Reece Rogers: Of course not. What else we have. Oh, this is this is an important question. This is one that we've been talking about over the past year at WIRED in our coverage of generative AI. We have Jenny asking. I've been hearing a lot lately about energy, intensity of AI, any thoughts on how to use Claude and other bots for what they're best for, and not blowing up the energy footprint for things you don't really need it for? Kylie Robison: Such a thoughtful question. Reece Rogers: That is a really thoughtful question, and what it's kind of difficult to answer. I think you know, it is an intensive software to use like, if you're asking questions to Pod, that is more energy use intensive than maybe how you might think about a traditional Google search. I also am of the belief that that shouldn't completely alienate you from wanting to interact with this technology. I do think, though if you're talking to a long conversations all the time, and you environmental issues are important to you. I think that is something that you do kind of need to rectify. Kylie Robison: Yeah, I think not to get too lofty. But there's these trade-offs we make in this evolved world like eating meat versus not. And you know AI leaders will point to that and say, like, you know, factory farming takes up so much more water and energy than this. And so these are sort of the trade-offs we make. And I think that it's totally OK. If your trade-off is, I don't want to have these long conversations, because I don't want to be, you know, spending all of that energy and water powering these systems. I think you know my more cynical take is that these companies are not as transparent as they could or should be about their energy, usage, and water usage. Hence, why, it's a little hard for reporters everywhere. There's some really great research MIT review has a really good report on energy and water usage, and found that it was pretty on par with what OpenAI was saying it was using. Claude, or Anthropic, has a report recently in terms of safety and Reece Rogers: emergent behaviors. So finding the model doing weird things when prompted aggressively in all talks about energy goals, which is something you can look at and then make your decision based off that information. Reece Rogers: And I'm also very cautious of any executive who promises the future will be super green. Yes, so I think that is, if you're like, I almost always just like, ignore the promise of like this is going to solve climate change in the future. Kylie Robison: Yes Reece Rogers: So I think that is something that I just like disagree with. But I still use these tools, and, like Kylie was talking about like it's something to kind of, just like it's part of living in the modern world. Is these trade-offs like driving a car to work eating meat so? But that doesn't mean I'm dismissive of the environmental concerns as well. I think it's like a nuanced, complicated topic, and staying on nuanced, complicated topics. We have a great question from Jill. Thank you, Jill, how much copyrighted work was used to train Claude. Will they avoid the use of unlicensed copyrighted works in future training? Kylie? Kylie Robison: Well, I have reporting on this. I mean, they just won a lawsuit that said, you know, I'm going to read the actual report. A San Francisco judge ruled that training Claude, on millions of lawfully purchased. So they purchased books, copyrighted books, qualifies as transformative, and is fair use under US law. So what a judge is looking at is is this completely transformed text? Or is it spitting out copyright information? Even if you've purchased the books, and they've deemed that it's transformative. So it's completely new text. And it's not just a complete derivative of the copyrighted text. However, the court also found that downloading and storing 7 million pirated books in a central library was not covered by fair use and a separate trial is going to determine the damages there. So yes, this is a problem, and I believe it was the Atlantic did a good story, including a database for authors to check if their books are in these training materials, because there's open libraries that they'll, you know. Along with the Internet, there's open libraries that store all of these books, and there's a name for it like books two or something is the name of the library that has all of these books, and then they use that library to train their models. So you can even check like is your favorite book in this list? Or is your book in this list of, you know. being trained for these models? Reece Rogers: So the ruling was that they can train on the books they have to buy the books first. Kylie Robison: Yes, and there's a lot. Talk about nuance. There's a lot of nuance here that's a San Francisco judge for one trial for one company. The New York Times, as I mentioned, is suing OpenAI, and I think, as reporters, that's a big one we're looking at to see. You know New York Times is alleging that you can use ChatGPT to completely copy and spit out, and, like plagiarism, spit out what their reporters have worked on, and that is not free use. It has to be transformative. So how that shakes out is a big one that we're looking at. But there's no like sweeping regulation. We're looking at free or fair use, which is a much different law, and we've evolved as a society, you know it's it's nuanced. Reece Rogers: It's nuanced and incredibly complicated. And I think something we're going to keep an eye on for the next year. Two years. So it's definitely an evolving situation that we are monitoring. Kylie Robison: We are monitoring the situation. If you go to you'll find an incredible report from our colleague, Kate Nibs, who talked about Meta's lawsuit for this exact problem. Reece Rogers: Yeah, follow Kate Knibbs. Her reporting is incredible when it comes to AI and copyright. OK, let's get to another question. These have been so. This has been really fun so far. Thank you, everyone, for all your thoughtful questions, Mary asked. I see your free Claude has access to the Internet. Mine does not seem to have that option, though it's paid. Kylie Robison: Oh, yes, I saw that. And then that's why I logged in. So I was like, where is it in mine? Reece Rogers: OK, well, let's take a look, Mary. I'm sorry if I'm not able to help you with this one, you know. I go here. You know where it says, search and tools by the prompt bar, and then I see web search right here, or you can toggle, web, search on and off. Maybe also include in your prompt like, search the web for whatever you're looking for, and that might trigger it. Kylie Robison: I'm doing it right now on my end, because I actually don't see like, choose web search, though I have a paid tier. So I asked, can you search the web. It said yes, and then I asked for updates on the mayoral race in New York, and it searched the web and found it so just prompt and ask like, Can you search the web for this information and that should work. Reece Rogers: I think this is probably a point where I should bring up that when you're comparing the web searching between. Maybe ChatGPT, and Claude is that they're both gonna be fairly powerful, and they're going to do a good job of looking through the web to find the information you need. ChatGBT specifically has been doing. Licensing deals with Condé Nast, the owner of WIRED, and other companies as well. That brings in even more of our reporting. So if you use ChatGBT, you might see some more WIRED articles than necessarily, if you're searching the web with Claude. So that's just like something to keep in mind. I feel like as a user. I wouldn't really notice the difference. Kylie Robison: No, I think as someone who's looking for articles, and that's like really what I use it for is I'm looking for articles on a topic so I can go read them. I find it slightly annoying, because I'm too deep in it as an AI reporter, because I know what partnerships they have, and I know that's what's surfacing. So, like my Alma Mater, I used to work at the Verge. Their parent company, Vox media, has a partnership with OpenAI, and so I'll see like a ton of their articles surface. And I'm looking for like articles from companies that don't have these partnerships, which might be harder to find than something you might notice. Reece Rogers: Let's get back to the software. Let's do another software demo. What would you like guys like to see us generate using the artifacts. So the artifacts can do a lot of different things. We showed how you can use. You can upload a file, and then you can visualize that file. You can also make an interactive element for yourself whether that's a quiz or yesterday I was just playing around with this. I made just like a scene like a playground scene that just like a lot of moving parts, just like see what it could generate with the code. I'm trying to think of like a really concrete example. Maybe something for like retirees would be nice. Let's see. Let's ask the chatbot right? Why not? That's helpful for me as a retiree, to understand my grandkids. Kylie Robison: All the weird questions I'm asking Claude like, what what's wrong with you? Reece Rogers: I want it to be visual. Kylie Robison: Someone asked a question. I had to research which was, Can AI act as its own attorney in a court case? No, it has to be a licensed human. Claude is not. No, AI is a licensed person. Reece Rogers: That's actually kind of good to know. I don't necessarily want to be going into the courtroom and having what AI Judge AI! Kylie Robison: I don't know what's worse, like you defending yourself or having an AI defend you. I think you're going to jail both. Reece Rogers: Not great examples. OK? Well, this is generating. Let's answer another question. Let's say I have an idea. Oh, this one's from Neil. Thank you, Neil. Let's say I have an idea for a book, and I want to ask Claude about possible locations for the story. If I get caught an outline or first chapter, can I keep it confidential? So this kind of goes back to what we were talking about earlier when it comes to privacy, as in putting the outline, the chapter into Claude and asking for feedback isn't necessarily going to publish that to the Internet, right? It's not necessarily going to train on that for the next version of Claude, but it is kind of taking it from like the airlocked space of like, you know, if it's just in your notebook, if it's just on your laptop and kind of putting it in on the Internet in like a tangential. What does that work in like kind of like a sideways way? So like, what would you think, Kylie, if you were working on that full? You just want to put a chapter in there. Would you feel comfortable with that? It's kind of a borderline or almost a outline. I put the outline in there. Maybe not the full chapter. Kylie Robison: Yeah, I think you know. What I'm thinking is, the New York Times had this piece where an author spent I don't know a day or a week, or something, using AI for every decision. And something I remember her bringing up is like, How do I approach like putting in questions about this draft that I'm working on for this story. Will it leak out in other ways that I have no control over? So I just think that's something to keep in mind. I probably wouldn't. Reece Rogers: Yes, especially for something like writing. Yes, like, that's something that you're gonna want to have ownership over. Yeah. So like, you know, maybe ask it, for like locations, ask it for different use it as a brainstorming partner in that situation. I wouldn't personally use it as a crafting companion. When I'm actually writing the document. We are out of time, Laura. I just got a note from our lovely producer that we are out of time. This has been so much fun. Thank you for sticking with me as I blabbed about Claude. I always enjoy hanging out. Can we get a big shout out to Kylie, thank you. How bad was it? How rough was it? Kylie Robison: This is so exciting, my very first one! It was really fun. I am obsessed with AI. So it's hard not to go off the rails about all of the different things. So I'm really glad that you guys get to have fun with this. You know about some of the pitfalls. And yeah, I hope you enjoy it. Reece Rogers: Yes, and thank you so much. We have another one coming up. We haven't announced yet, but we have another one in our series of AI live streams coming your way not too long, so keep an eye out in your email. My name is Reece Rogers. My contact information. If you want to reach out to me about anything related to AI, if you're having weird interactions with Claude. If you're having really helpful interactions with Claude, I want to hear from you. My email is Reece_Rogers@ That's REECE Underscore ROGERS at My signal is reece_rogers.01. So that's the plug. I really do want you to reach out to me. I really appreciate all your messages. Thank you again to everyone. Do you want to plug your email? Kylie Robison: I'm KYLIE underscore Robison: kylie_robison@ Not Robinson, common misconception. If you have weird things going on, I also want to hear about it. I'm on signal @kylie.01. And yeah, thanks for joining us. Reece Rogers: Thank you so much. I hope I hope you enjoy trying Claude out, and I hope you have a great rest of your week. Thank you so much. Thank you, guys, and take the feedback survey as you log out. Kylie Robison: Take the feedback survey.
Forbes
an hour ago
- Forbes
Winning AI Search: How To Optimize For Discovery In A Generative World
Dani Nadel, President and COO, Feedvisor. Gone are the days of traditional SEO, when ranking on page one guaranteed success. Search is undergoing its most radical transformation since Google became a verb. That once-simple search box is now a generative system: anticipating needs, synthesizing answers and reshaping how consumers discover, evaluate and buy. Today's AI search agents, think ChatGPT, Perplexity and Google's Search Generative Experience (SGE), go beyond serving links. They interpret intent, scan sources and deliver personalized, conversational answers that often replace the need to browse or click. How Search Is Fragmenting Across Platforms Google still drives nearly 90% of global search traffic, but signs of fragmentation are emerging: • Younger Audiences Shift: Gen Z and millennials are turning to TikTok, Instagram and YouTube—visual, conversational spaces where search feels more organic and less link-driven. Google usage among Gen Z declined 25% compared to Gen X, signaling a generational pivot. • AI Accelerates The Zero-Click Era: AI overviews now appear in over 13% of Google queries, pushing users toward instant answers. In 2024, up to 60% of Google searches ended without a single click; over 75% on mobile. This is no accident. Tools like Gemini 2.5, powering 'AI Mode,' are keeping users on-platform with synthesized, multimodal responses. • AI-Native Platforms Gain Ground: By early 2025, 40% of U.S. internet users had tried tools like Perplexity or Google's SGE. ChatGPT commands an 80% share and over 500 million users. Gen Z leads, with 82% saying they use AI search tools at least occasionally. • Search Becomes Mid-Funnel: Only 13% of shoppers begin with Google when they know what they want. Most use it to compare, validate or explore options, not to discover. The Rise Of Agentic Commerce By 2026, Gartner predicts that search engine volume will drop by 25%, losing market share to AI chatbots and agents, tools that answer questions and take action. Early efforts like Google's Project Mariner preview this world: Bots that browse, compare and purchase on behalf of users. This shift fundamentally changes visibility dynamics. Instead of crawling and ranking pages, AI curates and selects what it deems the best answer. The implications are clear: • Fewer Clicks: Instant answers reduce site traffic. Visibility must happen upstream. • Higher Trust Threshold: Structured, credible and current content is prioritized. • Intent Over Keywords: AI rewards clear, purposeful language aligned with user goals, not keyword stuffing. • Performance Signals Count: Metrics like dwell time, conversions and reviews influence how AI weighs content. Ranking isn't the goal anymore; being chosen is. My company's internal testing shows that selection hinges on clarity, structure and completeness, traits that help AI systems quickly understand and trust your content. These systems favor content designed for rapid comprehension: Well-organized pages with clear headings, concise bullets and repeatable phrasing that mirrors real user queries like 'What does this do?' That trust deepens when your brand appears consistently across marketplaces and third-party sources. The more visible you are, the more credible you become. To earn visibility, you need to earn AI trust. These systems are the new gatekeepers to discovery. While you can't game them, you can design for them. How AI is Rewriting Marketplace Discovery This disruption isn't limited to search engines. AI is reshaping discovery and shopping across Amazon, Walmart and TikTok, often before shoppers reach a search bar. AI agents now surface marketplace listings directly in response to queries. Whether a consumer starts on ChatGPT, Google SGE or TikTok, they see curated product options, bypassing traditional in-platform search. And with tools like Google's AI Mode, agents can monitor availability, track prices, send alerts and guide users toward purchase decisions. Marketplaces are not just destinations; they are sources fueling AI-driven shopping journeys. Amazon vs. Walmart: Two Paths To AI Discovery Amazon, one of the many marketplaces my company supports, and Walmart both recognize AI product discovery as the future, but their approaches differ: • Amazon: Seems to be mostly operating a closed AI ecosystem, controlling discovery within its platform. From Rufus to product-ranking algorithms, Amazon's AI prioritizes first-party signals like pricing, availability and ratings, and auto-summarizes key product detail page details such as specs and usage scenarios. Success will require strong optimization across product pages, competitive pricing and campaign performance. • Walmart: Appears to be betting on the open web. Walmart is making its catalog AI-readable and bot-accessible, preparing for agents like OpenAI's Operator to shop across platforms. Its strategy centers on cross-platform visibility through structured data, review syndication and influencer content that ensures listings are indexed and recommended by AI. Both reward clarity, credibility and consistency, but draw from different signals: Amazon prioritizes internal data, while Walmart scans across the web. How To Optimize for AI-Driven Marketplaces AI ranks what it understands, what performs and what it trusts. Whether you're trying to rank for ChatGPT, Google SGE, Amazon or Walmart, the principles of AI-native content apply: • Prioritize relevance and clarity. Use benefit-led, conversational language. Prioritize titles, bullets and descriptions that highlight key features and differentiators to influence both AI and buyer decisions. • Answer AI-driven prompts. Frame content around real questions like "What problem does this solve?" or "How does it compare?" Mirror how users phrase queries. • Design for AI comprehension. Use structured formatting, semantic tags, concise sentences and complete fields like specs, features and use cases to support parsing and analysis. • Elevate visual content: Apply metadata, alt text, lifestyle imagery, charts and short, benefit-driven video above the fold to boost engagement signals. Well-structured visuals aid shopper decision-making and help AI extract information. • Strengthen engagement signals. Post-purchase prompts and sampling to drive reviews. Keep Q&A active. • Distribute influence off-platform. Support mobile, voice and off-site journeys that drive traffic to PDPs. What Winning in AI Discovery Requires AI is now the first impression. Whether through a chatbot, generative engine or voice assistant, your brand is being evaluated by algorithms before shoppers even begin to browse. Winning requires evolving from traditional SEO to an AI-native discovery strategy, one designed for people and the AI agents guiding their choices. Amazon and Walmart are charting different paths, but both demand smarter content and sharper signals. What you surface, and how clearly you communicate it, will determine what gets seen, what gets clicked and what ultimately gets bought. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Miami Herald
an hour ago
- Miami Herald
As companies embrace AI, these leaders offer tips to make it better
In 2025, it seems like just about everyone is talking about artificial intelligence and its myriad potential uses. "I have never seen any buzzword so quickly adopted," said Leila Rao, founder of Decatur, Georgia-based organizational change consultancy AgileXtended. Rao helps guide companies through a variety of organizational changes, including navigating AI. Increasingly, Georgia businesses are using AI to simplify and streamline various tasks, such as scheduling, copywriting, directing phone calls and more. In their first survey on the topic, Duluth-based Moneypenny, a phone answering and customer contact service, found that 64% of companies are now either using or considering using AI as of May to "drive efficiency, enhance decision-making and supercharge growth." Additionally, 25% of companies said they are "fully embracing" AI, though that definition was left up to the interpretation of survey respondents. But is AI actually helping workers out as much as advertised? Rao and a top executive from Moneypennysay that the current trend may be falling short of ideal, but improvement is within reach. What's the draw? Forms of AI have been used for years in many workplaces for data analytics, sales and other practices. But generative AI, powerful tools such as ChatGPT that can create original content, sounds, software code and assist in things like scientific research, has thrust AI into mainstream use. One of the unique - and attractive - things about AI as a tool is its variability, according to Rao. "With these new tools, there is no standardization because they are, almost by definition, interactive," Rao said. Countless users have also been enticed by the speed of AI - both the speed with which it can complete tasks and with which new versions and capabilities are developed. This has been reflected in the quickly-developing pervasiveness of AI in business, according to Moneypenny North America CEO Richard Culberson. Outsourcing tedium to machines Some of the top areas where it's being adopted are marketing, content creation and analytics, Moneypenny found. According to Culberson, many of the tasks AI is being used for are under the umbrella of customer interactions. The most cited benefits of embracing AI in business included cost and time savings, productivity efficiencies and better decision-making. "The business is interested, I think, mostly in how AI can fix some of the fundamental friction or drag in organizations," Rao said. Certain complex tasks are typically better left to human workers, or at having their involvement, both Rao and Culberson agreed. But Rao noted that complexity can be deceptive. Scheduling is typically done at a low level of anorganization, but can be complex in practice because of many moving parts, she noted. Culbersonsaid he favors methods that rely on human-AI collaboration to complete tasks. He cited copywriting, whether that be a human writing something for the AI to polish or vice versa, as an example of a good hybrid use. Is it actually helping? While manycompanies are diving into the world of AI and companies are making huge investments in expanding capabilities, the question remains whether these implementations are actually showing benefits or are just something for C-suite executives to flaunt. "Everybody's saying AI can give you more efficiency … the problem is, that's not translating for the recipient," Rao said. According to Rao, while higher-ups may be excited about their company's AI models, the actual workers on the ground aren't experiencing much growth or otherwise seeing significant benefits from the implementation of these systems. "More often than not, what I am seeing is the people who rave about AI outcomes are not connected to the work itself," Rao said. She isn't hating on AI as a whole though. On the contrary, she loves it - when it's used to its strengths. "I rely on AI more than I ever thought I would," she said. "But it's not a replacement for my people." The problem is, according to Rao, that many companies are failing to take the people into consideration. "There's not enough shared understanding, between AI and the people who do the work, to make meaning happen," Rao said. Part of the disconnect is emotional, Rao says; the increasing use of and conversation around AI is triggering fear among workers that they'll be replaced or deprioritized. In part, these fears are stoked by miscommunications from higher-ups failing to have a two-way conversation with these workers. Additionally, there tends to be a gap in understanding between what executives and decision-makers think and hear, versus what it's actually like doing the work on the ground, which can lead to misguided assumptions. "Despite their best efforts, leaders tend to talk to other leaders more often than they talk to and listen to their staff," Rao said. Moneypenny found that 50% of companies surveyed say they need better guidance on how to effectively implement AI, something both Rao and Culberson's companies are working to provide. These companies need help understanding how to blend "the empathy and the depth from a human perspective, as well as the technical competencies and efficiency and cost savings you get from AI," Culberson said. Part of the problem is where the AI is actually being implemented within organizations. "Very few people in business are looking across all of their departments and seeing how it can be leveraged in the right way," Culberson said. Addressing key concerns According to Moneypenny's findings, the three biggest concerns around AI are job loss, data security and customer dissatisfaction. To deal with the first problem, Moneypenny promotes a "human-centric" approach. Rao also encourages actually making AI use and development a process involving collaboration across the entire organization. "It has to be an iterative process that feels very much like a conversation," Rao said. She urges companies to have conversations - and lots of them - with people who haven't been represented in the rooms where decisions are made. As part of the process, she suggests focusing on training AI as a coach or assistant, rather than a tool to actually complete tasks - similar to Culberson's hybrid approach. Both agreed that AI should support - not replace - workers. "People who will win in the use of AI will start to elevate their own people and not eliminate their people with it," Culberson said. Having "good, productive conversations" and learning with clients are also vital for assuaging customer concerns, according to Culberson. "People want to know they're being taken care of," he said. This is an area that may see a lot of growth and advancement over the next 12-18 months. Copyright (C) 2025, Tribune Content Agency, LLC. Portions copyrighted by the respective providers.
