How to Use AI to Save Time, Make Money, and Simplify Your Life

Mel Robbins (00:00:03):

It has exploded, it has accelerated, and I don't want to get left behind. I don't want women in particular to lean back and get left behind.

Allie K. Miller (00:00:12):

My hope is that these groups see AI as a source of agency and not of anxiety. Let's start at the beginning. What is AI? AI at its core is just a system attempting to do a human-like thing that could be as crazy as self-driving cars. Your Roomba in your house. AI is actually so much more than everything that we've seen in the last couple of years. These systems are so accessible. We have never had tech be as accessible as it is today. Every single job that we already have out there, marketing manager, legal, finance, will be AI supported and you'll have a switch in the types of things that you are doing.

Mel Robbins (00:00:56):

Maybe instead of saying, AI is coming from my job, the reframe is AI is a part of my job, and if you're worried about it, don't sit back. If you're worried about it, this is when you lean in.

Allie K. Miller (00:01:07):

People that take advantage of it now are going to gain this velocity that is going to be really hard to catch up on in the next two years. If you have not been using AI, use it not because I'm telling you you have to use it every single day or else the world will explode, but I'm saying I want your voice in the conversation.

Mel Robbins (00:01:28):

Allie Miller, welcome to the Mel Robbins podcast.

Allie K. Miller (00:01:30):

Thank you for having me.

Mel Robbins (00:01:32):

I am really excited to talk to you because I know this is going to be a conversation where I selfishly am going to learn so much. This is a topic I have been dying to have an expert on. I'm so glad we could pull you off all the stages where you're speaking around the world and have you here in our Boston Studios. I would love to start by having you tell me how is my life going to be different if I take to heart everything that you're going to teach me today about AI and I put it to use in my day-to-day life?

Allie K. Miller (00:02:05):

If you take everything that I'm about to share to heart, you are going to learn how to use AI, which is the most basic value that I could deliver to you. You are going to save time. You are going to get more support that you need in your life, in your work. You are going to expand your capabilities and your superpowers and you are going to be shocked by what you can actually get done with these systems.

Mel Robbins (00:02:31):

I love that because you talk a lot about the fact that you can use AI and the thing you're most excited about is that it can help you become the best version of yourself.

Allie K. Miller (00:02:40):

Yes.

Mel Robbins (00:02:41):

You actually believe that?

Allie K. Miller (00:02:41):

Hundred percent because I've seen it in my own life. I teach millions of people how to use AI. I've seen it in their lives too, whether you are a 91-year-old grandmother, whether you are just out of college and you're freaking out not even knowing what to do. I've seen the change happen, so I am sharing with you every single thing that I've shared for the last 10 years online, hopefully as fast as humanly possible, and I can't wait to share it. In addition to saving you time, I always want to do that. Efficiency is key. There are some transformational ways that you can use AI to improve your life, to lead the life that you want to be leading, whether that is getting research done on a topic you've always been interested in, whether that is developing a workout plan in the way that you've always wanted to do it, whether that is having a better relationship with your kid. I want you to live the life you want to be living and not be held back by the environment or context around you.

Allie K. Miller (00:03:41):

Great.

Mel Robbins (00:03:42):

What is AI?

Allie K. Miller (00:03:44):

If I could give the most simple explanation,

Mel Robbins (00:03:47):

Dear God, please, because it's over overwhelming, Allie. I wanted you here because every time I turn on the tv, I don't even watch the tv. Every time I log on, especially, especially YouTube, AI is coming and the robots are going to kill you and steal your jobs and we're doomed and it's already on and I'm like, well, hold on a minute. I'm not even sure I understand what it is and how to use it, and so let's start at the baseline thing. What is it and how does it work? Can you just explain it for those of us that kind of think we know?

Allie K. Miller (00:04:24):

Yes, so AI as an umbrella term has been around for decades. The term AI was invented in the fifties, so AI at its core is just a system attempting to do a human-like thing that could be as crazy as self-driving cars. That could be your Roomba in your house, that could be your spam filter in Gmail. All of that counts as AI. Obviously

Mel Robbins (00:04:52):

Don't come after my vacuum, that's all I'm going to say. I don't even have one of those.

Allie K. Miller (00:04:55):

Your vacuum might come after you. We don't know.

Mel Robbins (00:04:56):

I don't want that, okay. You could think about AI as any computer program that is attempting to do what a human being typically does.

Allie K. Miller (00:05:08):

A system attempting to do a human thing, whether it does it in the method that a human does, it kind of open for question.

(00:05:16):

But it's whether the end user upon seeing the final writing, the final tweet, the final image, the final video goes, yeah, okay. A human could have done that. Generative AI is a subset of that which has also been around for decades. The new thing now is good generative AI, high quality generative AI, generative AI that changes the way that we might check emails, write emails or completely build our business. Generative AI is an AI system that is looking at big amounts of patterns. Picture the whole internet picture like all of Wikipedia and a whole bunch of the internet thrown into this model, and the model picks up on patterns and so it's looking at patterns that we as humans are probably going to miss out. It might be picking up on Every time you say the word zebra, the word black and white tends to be around that word and horse tends to be around that word, but penguin is nowhere near it, so it's picking up on a bunch of these patterns and then it is using all of that pattern recognition to very awesomely generate net new things, so it's not copying and pasting, it's generating brand new stuff, brand new images, tweets, emails, novels, movies, blog posts, whichever.

(00:06:29):

So generative AI, subset of AI where it makes new stuff. What about a plane flight? What about a plane flight?

Mel Robbins (00:06:37):

So in the old days, like three years ago, well, in the old days you would call a travel agent. Then in the next iteration of that you would go to the AIrline website. Then in the next iteration, which is where I am, so I'm stuck in the kind of modern way of doing it. I go to Google, I go to the Google and I put in my flights on a date and then I get a list, but then when I get the list, I have to look and pick out the flight.

Allie K. Miller (00:07:11):

You're not going to do that anymore.

Mel Robbins (00:07:12):

Okay, what am I going to do and can you explain how AI is making my life easier?

Allie K. Miller (00:07:16):

Yes,

Mel Robbins (00:07:18):

Go.

Allie K. Miller (00:07:18):

Okay, let's say that the reason you're looking up a flight, let's say that you're planning a family vacation or something. Okay. Instead of what we used to do for the last 20 years when we've Googled these things, you would Google flights from Boston to Atlanta. You would then have to filter nonstop, one-stop different AIrlines because you got points there, points there, whatever, and you would still have to be that big filter mechanism, new age, you're going to go into one of these systems, it's going to have access to the internet and instead of going pull me all the flights from Boston to Atlanta, you're actually going to say, my family of five wants to go somewhere warm in September. We are thinking about Charleston, Savannah, but we want to try something new. We're thinking three days, maybe it's five, we've already gone to Scottsdale. Here's three reasons why we liked it. Here's two reasons we like Texas. Here's four reasons we're thinking about Bermuda. My son's allergic to strawberries. My daughter really wants to stay hydrated, my other daughter wants to do yoga, whatever. You're going to be able to feed in that amount of context and before you even decide that you wanted to pick Atlanta, it's going to act as that copilot because you're bringing in all that context. So in addition to it finding your flights, which again, you could totally Google that. I still Google things to be clear. In addition to finding those flights, it is going to help you create an entire action plan around this vacation,

Mel Robbins (00:08:49):

So it's basically going to make a recommendation based on all the things you told it and crunching all the data and what other people have searched for and given a thumbs up and thumbs down?

Allie K. Miller (00:08:58):

Based on not even things that people have searched for based on just anytime people have written about things that are kind of similar to Atlanta or Savannah or someplace that is totally not similar a sauna. It might be some sort of relation where people go, okay, in warm places maybe you do this hobby instead of that hobby, so that would be so helpful. It's incredibly helpful and what I think a lot of people miss is that these systems can add so much more action into your life.

Mel Robbins (00:09:31):

It also immediately made me feel as a mom because managing so many different variables on anything that you're actually searching for that being able to turn all of those concerns and variables, but this that, but this versus what are the right flights to get us to the same AIrport or train station at roughly the same time. I felt like a giant exhale and one of the reasons why I was so excited to talk to you is it's already here. We use it in just about every aspect of the way that we work at the Mel Robbins podcast in 1 4, 3 studios and I have not started using it in my day-to-day life.

(00:10:22):

And it is kind of everywhere, and I notice that, and maybe you notice as you're listening to Allie or watching this right now, that your phone needs more updates than ever because every app is having an update because it's got AI in it, and so it's already here, and so I was excited to talk to you because it has exploded, it has accelerated, and I don't want to get left behind. I don't want women in particular to lean back and get left behind,

Allie K. Miller (00:11:10):

I like to think of it in a couple different categories. The obvious one that I think people read a lot about and pick up a lot more quickly is the productivity side is doing things that you're already doing today faster. Give me a couple quick examples. Writing emails faster, writing blog posts faster, taking your blog posts, creating a video out of it faster, the idea that just speed and the idea that we can synthesize an article, all of that is things that you would already be doing. You'd already read the article, but it's able to do it a lot more quickly and at a bigger scale as well. I can synthesize 10,000 pages in a paragraph in like a minute. That is the category of doing things faster. Second category is doing things better, and this is what everyone is missing out on, which is, yes, I could use it to cheat on my college essay.

Mel Robbins (00:12:10):

You are not recommending that.

Allie K. Miller (00:12:11):

I am never going to recommend that, but to think that you should not use AI in that process might also be wrong. So anytime that I'm coming up with a big plan, right? Let's say that I'm coming up with a plan for how I want to show up to this podcast. I might ask AI to interview me and go full Mel Robbins on me and just say, Hey, ask me 20 questions to get out more information that I can work from. I might say, here's my plan. What are five risks that I might not be thinking about and what are ways to mitigate those risks? I might say, what are 10 crazy ways to make this more interesting and maybe it tells me to bring a yellow pen. It's all male branded and obviously that's a small example, but your work can be so much better and I think so many people fall into this productivity trap, whereas my team, we put on this AI first conference, we ran our entire agenda through AI and said, think from the viewpoint of these five different people, we had these synthetic personas think from the viewpoint of the busy CEO, the really busy parent who has too much stuff going on with their work and their kids and their parents, think from the viewpoint of these three other people and now review my entire conference plan and give me 10 ways to improve it, 20 new ideas we haven't thought of 30 ways that it could go wrong, 40 ways to make it a better bonding experience for the team, and so making it better, not just faster so that you also don't feel like a drone trapped behind your computer with all these thousand popups. And the third, which is even harder to figure out is doing new stuff, so doing things that you're already doing today but faster things you're already doing today but better. And then net new, holy cow, can you even believe I did that? And I'll give you one example here just because it's personal life, it's not life changing, right? When you hear it, but then you hear a little bit of value around it, you go, wow, they really did. That woman that I taught, I joined like a Mahjong club in New York, obviously.

Mel Robbins (00:14:18):

Shout out to my mother. She taught me Mahjong.

Allie K. Miller (00:14:19):

Really?

Mel Robbins (00:14:20):

I love the clicking noise and I love playing it. Okay,

Allie K. Miller (00:14:23):

Heck yeah, you and your mother and I are going to be best friends. So this woman wanted to become a better Mahjong player because it allowed her to bond better with these people in this club.

(00:14:34):

She used AI as a non coder to create an entire app to teach her how to play Mahjong, to drill her on the tiles, to drill her on the combinations so that she wasn't using her time buried in this little notebook of the different rules such you could spend that time actually hanging with these people and creating lasting friendships. So again, the AI component of that is not the coolest part of that story. The AI component generating her own app building in a couple days and now she uses it literally on the subway to train. It allowed her to create more value in her life that could not exist as a non coder before. These systems are so accessible. We have never had tech be as accessible as it is today. We've never had the ability for non coders to jump in and women are adopting AI 25% less than men, and I just think about what societal opportunities we're missing out on, what economic opportunities we're missing out on. It is such a big jump that people feel that they have to take and actually it's really just about opening up this thing, testing out a few prompts and just getting your feet wet. Your gears are going to start turning right. Your listeners are brilliant people. I read your comments. They are brilliant, brilliant folks. It is all about giving yourself the best chance of being able to capitalize on these tools and build the value that you want in your life.

Mel Robbins (00:16:02):

What do you say to the person who's nodding along and is like, that sounds really cool. Never thought about how I could use it to be faster, better, or do things I never even imagined, but they're not sure and they're waiting for the right moment to jump in and learn AI. Allie, what do you want to say? If that's you?

Allie K. Miller (00:16:31):

5, 4, 3, 2, 1. I want to dispel people of the myth that there is perfection in our lives period, in our financial decisions, in the way that we decide to make dinner that night or hang out with our kids that day. We are waiting for something that doesn't exist in our lives, and so at least when I look at people that I look up to that are successful, it's people who jumped in and did the thing. And I would also say that it's not that big of a leap. The people who are winning in AI are not these big crazy risky decision makers. It's people who are taking these quick little wins and quickly iterating and creating a little system of adaptability. It's people who actually think a little bit smaller and get their feet wet.

Mel Robbins (00:17:24):

Here's how I think about it. I think about it like having a personal executive assistant all of the things you wish somebody else could handle, whether it's coming up with the perfect workout routine, if you want to have more defined calves, learning a better walking loop in your neighborhood when you only have 20 minutes. I just feel like there's so many ways you could use it that I personally have only just scratched the surface.

Allie K. Miller (00:17:57):

I think of there's four interaction modes that I think about, and again, most people are stuck at step one, and so for the person listening, please do something to try one of these three others.

Mel Robbins (00:18:08):

Okay,

Allie K. Miller (00:18:08):

Number one, microt tasker. That's like the make a meal plan for these 20 people that are going out to dinner. Two people are gluten-free, one person only likes ham, whatever, and you're going to be able to very quickly do that. That might also be the flight search example number two is as a real-time companion,

Mel Robbins (00:18:27):

Okay, what does that mean?

Allie K. Miller (00:18:28):

You can just pull up these systems and be in a live video chat, and so as an example,

Mel Robbins (00:18:33):

Why would you want to do that?

Allie K. Miller (00:18:36):

I went to a board game bar and my friend and I had 45 minutes and I could have spent 20 of those 45 minutes evaluating every single game that existed and we'd only have 25 minutes to play. Instead, I opened up video mode and I am just scanning through and I go, we have two people 45 minutes. I want an easy game. I want to have fun. Tell me which one.

Mel Robbins (00:19:00):

What you're saying is that you can open up video mode, scan an environment, and it's almost like having a guide and a decision maker to help you assess what's happening. Could you do that if you're lost somewhere?

Allie K. Miller (00:19:14):

It's scary good at picking up on locations, especially if you're in something recognizable. If you're in the middle of nowhere and you're using Google because it has Google Maps tapped in, it might be pretty good in general. I wouldn't trust it for being lost. I would just open up Waze or Google Maps or something.

Mel Robbins (00:19:32):

Gotcha. I understand this is I think a lot of us have discovered the ability to take a photo and then search, which in the photo by putting it in a search engine, you're basically saying there's a second step where you can use the video scanning or open up the video. I didn't even know this existed, so already I'm like, you can do that.

Allie K. Miller (00:19:53):

So many people have ADHD. My willingness to get something done goes crazy high when I know that I'm not alone in that task, whatever. So I have been in a live video stream with AI where I'm screen sharing what is on my screen and I am navigating Etsy to pick out the perfect gift and I'm just having a chat back and forth, but it's like being in a Google meet with an AI that can see everything that you see.

Mel Robbins (00:20:22):

So it's literally the same as you typing in the meal plan that you want, but instead this is open up your fridge and scan it with the video AI mode and go tell me what I can make with this. I needed this 20 years ago.

Allie K. Miller (00:20:39):

We've got you Mel.

Mel Robbins (00:20:40):

How do I turn this on? This is the level at which I'm at.

Allie K. Miller (00:20:44):

So I'll give you one example. I am a terrible cook. Everyone that knows me knows this, but my sister told me that cooking is just chopping things up and heating things up, and so I'm trying to get better at this, but the recipes part eludes me and I take a photo of my fridge, a photo of my pantry, and I hit enter and it tells me exactly what I can make. It gives me a couple recipes that have ingredients that are missing and it tells me the exact grocery shopping list that if I go to Trader Joe's I can grab. So that is something that has saved me literal hours

Mel Robbins (00:21:18):

And money

Allie K. Miller (00:21:19):

And money

Mel Robbins (00:21:20):

And food that didn't go to waste

Allie K. Miller (00:21:22):

A hundred percent. I'm no longer that person

Mel Robbins (00:21:24):

And emotions that I feel because I feel like a bad person for wasting the food and then I feel like an idiot for not being organized enough.

Allie K. Miller (00:21:31):

Yes, I live in New York, so this is a lot easier for me to do. I'll walk down the street and have an entire conversation with an AI system. I'll talk through a problem just to be like devil's advocate, am I the asshole? Right? And I will just talk through this idea as if I'm on the phone call with someone.

Mel Robbins (00:21:45):

Wow,

Allie K. Miller (00:21:46):

I can do this at two o'clock in the morning.

Mel Robbins (00:21:47):

What's the third interaction type? So if you've got the prompting now we have sort of the live video voice thing, real time acting like an assistant like helping you out here. Okay, what's the third?

Allie K. Miller (00:21:58):

Two others, you've got delegate, which is really happening right now where you can give AI a 20 minute task and it'll come back to you with an answer. So you might say, let's say that you are a teacher and you really want to come up with a new lesson plan for chemistry. You can say to any of these agent tools, you can say, I'm a teacher. I want to be able to pull off a new thing in chemistry. I can upload screenshots upon screenshots of all of the years of reviews that I've gotten from students. I can feed it all into the system and I can say, I want to come up with a new chemistry plan, go online, find me a hundred other examples, and create an entire spreadsheet for me, an entire document summarizing this and an entire pamphlet that designs the PowerPoint around it so that I come back to it 20 minutes later and I already have this fully done report for me. So I am constantly delegating big, big planning tasks, particularly things that are rooted in research or data entry where AI is still really good.

Mel Robbins (00:23:10):

You know what's super exciting about that? For anybody that has typically kind of a business or anything that it's kind of just you. You're a realtor or you're a teacher or you're a nurse or whatever it may be, and you're like, who do I give this to? I need a website. I don't know. I don't have anybody to delegate it to. I don't have the money to do that kind of thing. You are telling us that there are tools available now for free that are your team that you can learn how to use pretty quickly, that can do all of this work that for years you've had nobody there to do, whether it's social media stuff, whether it's a business plan, whether it's a website, whether it's an app, whether it's a marketing plan, whether it's analyzing what the realtor competitor that you hate is doing that you want to do all of it. It's like a free research assistant,

Allie K. Miller (00:24:08):

And I think solopreneurs used to feel like they were deserted on an island and that no one understood them. They had no help. AI gives you 20% of a marketing person, 20% of a customer support person. We're still going to use amazing video editors for stuff like this podcast, right? But the average person is now able to record themselves for an hour, upload this video to a tool and immediately get 15 clips that they can post, and those 15 clips come already pre-cut, already captioned. I know people that are taking their Instagram videos and immediately turning them into Spanish and posting those on a second channel, the reach that you can have, the impact that you can have has increased by 20%, 10 x whatever. And so many people aren't taking advantage of it because I think deep down they feel like it's wrong or it's cheating or something like that, but people that take advantage of it now are going to gain this velocity that is going to be really hard to catch up on in the next two years.

Mel Robbins (00:25:11):

What is the fourth interaction type?

Allie K. Miller (00:25:13):

Teammate, which for folks that might be at bigger companies for folks that are maybe they're part of the marketing department or something, think about Yes. You said they all had their executive assistant. What if your entire team just got a little helper? So as an example, maybe you record all of your meetings with one of these tools, suddenly you can have an AI system that is sending out automated reports every single Friday morning to your entire team going, what did we not do today? What's the status of this project? What's the latest? Because it's able to grab from documents, it's able to read Google Drive, it's able to look at Gmail, and so it is a lifting up the tide of your entire team.

Allie K. Miller (00:26:06):

I'd say the average person is not bringing in enough context. They're coming into these systems and they're going, plan me a family vacation degrees. Who's your family? What vacations have you taken before? Or you're coming in and let's say you're building a house or you just bought a new apartment and you come in and you just say, help me fix my apartment. Help me be more organized in my apartment.

Mel Robbins (00:26:33):

So how would you do that with the apartment? Because my daughter just moved into a new apartment.

Allie K. Miller (00:26:37):

Fantastic.

Mel Robbins (00:26:37):

Every day I'm getting a call overwhelmed because you forget that when you move into an apartment, there's not a spoon, there's not a hanger, there's not a waste paper basket, and then it's overwhelming. And so how would you use it? Because you said the biggest mistake is context. So I get it with the vacation because you'd be like, my kids are these ages, this is many days. These are the dates. This is what we like to do. So the more context, the more it could help. How do you do the apartment?

Allie K. Miller (00:27:07):

So apartment, let's say that you give a photo of your apartment, the square footage, photos of your previous apartment, concerns that you had about your previous apartment. I didn't have enough storage. I didn't have enough place for my board games. I didn't get enough natural light at my desk. So you can share all that. You can say, and I'm also worried that someone's going to walk in and see my bed unmade. Boom. Think about how AI might solve that, and I'm concerned that people are going to think I don't have enough furniture or that I have too much furniture or that I'm going to have weird sense of art?

Mel Robbins (00:27:39):

Or how do I make it look like this is full when I have,

Allie K. Miller (00:27:40):

Oh my god, hundred percent

Mel Robbins (00:27:42):

Like the money for a secondhand, could you actually say, find me a couch?

Allie K. Miller (00:27:47):

Yes,

Mel Robbins (00:27:47):

I have this much money.

Allie K. Miller (00:27:49):

Yes,

Mel Robbins (00:27:49):

Scan online that has delivery

Allie K. Miller (00:27:52):

A hundred percent. Oh my god. I went to an AI system and I said, I want to find a watch. I want to find a watch that's less than $50 AI themed. I only want it to be square or circle. I don't like anything that's rectangle. I only like black and gold. I need it to be whatever. I gave it 15 parameters and I said, go. It is working, and by the way, I can see it working the whole time.

Mel Robbins (00:28:13):

What because the wheel is spinning?

Allie K. Miller (00:28:14):

No, because I'm literally watching it navigate websites. Imagine that it goes into another room and it opens up the laptop and it just works on its own. You're watching it just like an IT person would tap into your computer. You're literally watching it navigate and scroll and click and

Mel Robbins (00:28:32):

Wait. So is it controlling your computer?

Allie K. Miller (00:28:34):

It is controlling a virtual computer that you're just watching like an observer.

Mel Robbins (00:28:39):

Are there risks to using agent mode? I mean, this sounds amazing, but I'm just

Allie K. Miller (00:28:43):

Yeah, there are risks of everything. The main risk to think about would be, let's say that you're saying, I want to buy a couch and at some point you're going to go add it to my Wayfair cart and I want to check out, or I'm buying this thing from Ashley, how do I give it my credit card? Right? You are going to take over that screen. Got it. It's not looking in that moment, you type in your credit card details and you say, okay, I'm done. And the AI model goes, sure. And you go, yeah, yeah, yeah, I'm done. And then you come back in and you keep going. So anytime you're logging in, anytime you're giving financial details, that's going to be an extra layer of concern, but these systems are not tracking that remote control.

Mel Robbins (00:29:31):

Got it. That is so cool. I don't want to talk to you anymore. I want to go try this.

Allie K. Miller (00:29:36):

We can spin up the laptop right here. I love this stuff.

Allie K. Miller (00:29:56):

Can I give you two, one that is very easy. One that's five. Yes, go for it. Okay. The one that is very easy that everyone can start with is having AI interview you coming to it with a problem and just saying, I need to redesign my apartment. I need to come up with a plan on how to keep my mother entertained when she visits, right? You come to it with a problem and then instead of coming with this whole long prompt, you can say, I don't really know how to solve this problem. Help me help you. Ask me 5, 10, 20 questions and then you're going to turn on dictation and you're just going to talk and complain and ramble and you're going to say, I'm thinking about this. I'm worried about this. I tried this. This didn't work. Here are five things that I know I'm good a five things I think I'm bad at three ways that my boss is yelling at me, two people that I want to hire, whatever sort of contacts you need to bring in, ramble, ramble, ramble, enter. I do this when I'm at the hair salon, I just have it ask me questions and while I'm sitting there with the dye on my head, I just whisper to it for 20 minutes and I'm able to get four hours work done in 20 minutes. That is a crazy easy one, right? Go Mel Robbins mode, go Barbara Walters mode, ask for AI to interview you. The second way, weirder one that is my favorite hack is synthetic personas. It is creating fake profiles of people that you might be pitching to, people that you might be working with. I know a woman who, this is insane by the way, but I love it. I know a woman who created a synthetic persona of her husband because she wanted to have the family go to Disney World and the last time she asked, he said no. So she practiced against this synthetic persona and then was able to come to it with, Hey, here's the perfect pitch, and the husband goes, oh my God, it sounds like a great idea.

Mel Robbins (00:32:02):

Well, I recently I think did this. I went to one of the models. I went to Microsoft copilot and put in, okay, I am not going to tell the long story, but I basically was trying to write a strategic apology to somebody with a very challenging personality and in order to diffuse a situation and I went to it, explained the situation, it spit out the card, it worked like a charm because it acted like the person person that I described, and then I told it the situation and said, what could I write in a card that I'm going to mail to somebody that would diffuse the situation?

Allie K. Miller (00:32:49):

I know

Mel Robbins (00:32:50):

It was genius.

Allie K. Miller (00:32:52):

This is brilliant and I want people, whether you are extremely extroverted and you feel like you're pitching all the time, you can still be better. I know of there was a gentleman that told me he was terrified to quit his job.

(00:33:08):

So terrified that he almost didn't quit his job because the fear and the shame of that moment of maybe I won't do it right, was halting his progress and ability to go to the dream job that he actually wanted, and it was so paralyzing that it was going to change the trajectory of his life if he didn't do this and he went to AI and he goes, how am I supposed to do this? How does someone do this? I've never had to quit a job. How do I deal with a boss that's going to push back? What if they offer me more money? How do I say no to that? How should I write this letter in what order should I send this letter and that sort of life change that someone can experience, and you got to get through that in a much lower stress way. You got to get back to the thing you actually wanted to do.

Mel Robbins (00:33:58):

Well, what's interesting about it is first of all, you keep reminding us the amount of context you give. It is critical and is directly related to the value of the information you're going to get back. The second thing is is that what you're doing when you take the time to think through scenarios and you take the time to get really present to either the thing that you're worried about or the thing you really want to achieve and then you utilize a tool like this to make yourself smarter and more effective is you're just using all of the foundational psychological principles called if then planning. You are using all of the things that human beings have done forever. You're just utilizing a data set to help you do it faster and better, and then that makes you more confident and more equipped to go into your real life and follow the advice that feels right for you. It's like practicing.

Allie K. Miller (00:35:03):

It is a brilliant view into this space because so many people look at it as faster Google when it's actually a prosthesis for reinvention. There is so much you can do with it that just searching faster almost feels limiting. I have this post-it on my desk that says, use AI to become the person you want to be, and it helps me get out of that productivity trap.

(00:35:34):

Where again, I'm just using it to write emails faster or I'm just using it to find information. It reminds me that the real challenge of these systems is, wait a second, how can I take all the excuses that I've had over the last, I'm not going to say hold, but how can take all the excuses and get rid of those excuses? If I had had this when I was starting my business and I could go to it and say, how do I start an LLC? What are the big concerns when I'm picking a lawyer? How do I pick a good accountant? What are 20 questions to ask my first hire? I would've been in such a better spot, and so again, it's using AI to become that person that you want to be. Not overlying on it, not misusing and abusing it, not lazily offloading to it, but using it as that method for reinvention, tool for reinvention.

Allie K. Miller (00:36:35):

Prepared to quit? We are three years into the AI revolution, and if your employer is actively banning this technology and in three years has not yet carved out a safe, responsible AI policy that allows them to use it in the work, you are at a massive disadvantage for your work, your life, your career. You're going to be less hireable in your next couple roles. Maybe if you're in manufacturing or plumbing or HVAC or something, it's fine. I'm talking about the knowledge workers who could be leveraging this. Your company, whether they're doing it intentionally or not, they are putting you at a massive disadvantage for the next several years of your career. For that person, I would say learn AI, raise your hand, try and have AI be at that company and say, can I lead it? Can I take on the first project? Right? That's an opportunity to be a big leader in your org.

(00:37:34):

If you are met with no, and they say, I don't want to use the tool, I don't trust it, you can't take on that project, leave your company, and I know that that sounds like a privileged statement and it is to a certain degree. You need to make a plan to do that, even if it means leaving and working for yourself and being a coach that uses AI that is able to be more efficient and is able to have more clients that they can help. But we are three years into this, a year into it. I wouldn't have said that three years into it, I'm saying it,

Mel Robbins (00:38:05):

Okay, we hear the call, we need to leave Now I'm looking for a job. What is the best way to use AI to help me find a job that I love?

Allie K. Miller (00:38:16):

Number one is I would describe to AI what you have done in the past and talk through all of your previous roles. Describe the tasks that you took on and very specifically the tasks you liked and didn't like. I don't care if you've been a accountant for the last nine years, maybe you don't want to be an accountant anymore, so this is an opportunity to give all that weird nuance that you can't really give into a Google search. So what have you done? What tasks have you taken on? What did you like? What did you not like? What were the concerns you had at previous places? What types of companies do you enjoy? Big companies, small companies? What entices you about going into the office every five days, going to the office five days a week, working from home the whole time remote and you get to fly to Italy once a month or never traveling because you're afraid of planes, whatever the thing is, you want to add in all that context and then you're going to say, give me three jobs that I'm a perfect, perfect fit for.

(00:39:18):

Give me five jobs that you think I could be a fit for if I just told the right story. Give me five jobs that I could be a perfect fit for if I just took a couple courses, Google courses, Microsoft, LinkedIn, whatever courses, and give me five jobs that you think that I really, really want to reach for but would be absolutely nuts if I went for it and would take me a year to make that pivot into, right, and maybe that's going to tell you to go to a big bootcamp or get your master's in some degree. That is the type of action plan that you can get with AI. Once you get that back, you're going to then say, great, here's my resume. What are 20 changes I should make? What are 13 ways that I'm missing out on making this the perfect resume?

(00:40:00):

Go out and find 150 examples of great resumes. Go and find 20 blog posts from Google, Microsoft or from KPMG or B, C, G, wherever you want to get hired and have those blogs synthesize, give me five best practices and give me exactly how I should edit my resume. Great. Now you have an updated resume. Now you have a stronger action plan. Even the way you're going to do the writing and the outreach is going to be AI supported, is going to be AI first. How can I make a splash and work for you, Mel? Maybe it's going to tell me to show up at your offices and sing a telegram. We don't really know, but you can ask for ways to stand out. You can ask for ways to pitch yourself. You can ask for ways to create your narrative and even when you're in the interview, what are 20 questions I can ask this person to stand out. Every little part of that job search process can be AI first and then of course being someone that knows how to use AI is going to make your resume that much stronger.

Mel Robbins (00:41:05):

Sitting here listening, now I'm going, now I know I'm not getting hired by anybody because I'm not doing any of those things, but seriously though, isn't it also important because doing all that optimizes your resume to be scanned by AI?

Allie K. Miller (00:41:23):

Yeah. There's this weird AI eating AI moment that even when we're shopping for things online, if I have an AI agent shop for me and the car brand that I'm trying to buy from has an AI agent answering all of its sales questions, what are we doing? It's two AI agents acting as proxies for these people talking to one another. So it can feel very weird when you are creating things with AI that is then read by an AI. What I also want to advocate for is there are so many ways to stand out that have nothing to do with tech and online application. Whatever you could have AI help coach you through how to ask a common friend for an introduction. A lot of people feel very uncomfortable around that. Have it coach you through that moment of discomfort so you can push back. There are so many ways that you can use AI in the process, not just doing the work for you, writing your resume, and so having it coach you to ask for that, having it help you post on LinkedIn and say, I'm sorry I got laid off. I'm in a situation where I have these skills and I need help. I don't usually ask for help this publicly, but I need you. You've never written that post before. AI can find a thousand people who have posted that before and can help you get through that obstacle, that friction so that you can get the life you want.

Mel Robbins (00:42:58):

I love that because you're right, all of the things you just walked us through will help you leverage it for positioning yourself, but you keep reminding us that AI can also be this coach almost that can help you do the preparation, figure out how to have the conversation, practice the interview so that you're preparing so that when the real life stuff happens, you've actually prepared. Using it that way is almost more important because you're not hiding behind it. You're using it to help you be more of yourself and to be a better communicator and be more effective.

Allie K. Miller (00:43:40):

Yes, I think there's a lot of online discourse that AI is ruining our authenticity. When there are some people that could lean into using AI and actually help you live a more authentic life. I'm a weirdo in my life. I organized this big dumpling taste test from my friends. I had a friend who's a violinist come play and all of us laid down on the ground and just stared up at fake stars that I put up on the ceiling using AI to come up with weird whimsy ideas because Google is not going to be able to do that. You can live a more authentic life. Again, I'm not offloading to AI. I'm having it support me in the way that I want. So I think that's such an important idea because I'm still bringing myself into all these conversations, all these relationships, my job, my client conversations. You still have to be the person who's authentic, the person who's confident, the person who's earning trust. You're not going to until we have brain computer interfaces, it's still you no matter how much you're using AI.