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Ex-Amazon AI Leader: In 1 Year, the Gap Between AI Users and Everyone Else Will Be Irreversible

πŸ“Œ Try Miro AI Workflows β€” your canvas becomes the context for AI: http://miro.pxf.io/NGKAbN @MiroHQ on YouTube #miropartner Allie Miller is the #1 most-followed voice in AI business on LinkedIn with 2M followers. She launched IBM's first multimodal AI team, then became global head of machine learning for startups at AWS. Now her advisory firm, Open Machine, works with Novartis, ServiceNow, Warner Bros. Discovery β€” and she's advised Reid Hoffman and Melinda French Gates's Pivotal Ventures. In 2025 Allie was named TIME100 AI. In this episode, she shows us her exact setup β€” 36 proactive workflows, around 100 agents running while she sleeps β€” and walks us through how to build it yourself without writing a single line of code. We covered the 3 context documents everyone should create first, why most people are using AI at 20% of its potential, and what separates the people winning with AI from the ones falling behind. This is the most practical AI episode I've recorded. Watch it once and you'll spend the rest of the day inside Claude. 00:00 β€” Intro 1:08 β€” Allie's morning: AI agents working while she sleeps 02:59 β€” 36 workflows, 100 agents: how her system actually works 05:58 β€” You don't need to code. Here's why 08:12 β€” The best way to start: just complain to Claude 09:37 β€” Claude Chat vs Claude Cowork vs Claude Code β€” what's the difference 13:26 β€” Live demo: building a morning briefing from scratch 16:01 β€” What is a "skill" in Claude β€” the toolbox explained 18:57 β€” How to migrate everything from one AI setup to another in minutes 20:23 β€” AI as intern vs AI as teammate β€” why the difference matters 24:22 β€” 3 documents everyone should start with in Claude 30:07 β€” ChatGPT vs Claude: why Allie switched 31:57 β€” "The concept of an hour has changed" β€” how AI reshapes work and pricing 33:38 β€” What about your business? How Allie uses AI with clients 35:48 β€” Allie reviews Marina's Claude setup live 40:10 β€” When to trust AI and when not to 43:21 β€” The mindset that separates AI winners from everyone else 46:05 β€” What's coming in AI in the next 12 months that nobody expects 49:33 β€” Your AI will know you better than your strategist 52:06 β€” What happens to teams when everyone is 10X more productive 54:25 β€” The gap in 1 year: Claude user vs non-Claude user 57:41 β€” Should you sacrifice income to go all-in on AI? Links: πŸ“© Follow my Newsletter: https://siliconvalleygirl.beehiiv.com/ πŸ”— My Instagram: https://www.instagram.com/siliconvalleygirl/ πŸ“Œ My Companies & Products: https://Marinamogilko.co πŸ“Ή Video brainstorming, research, and project planning - all in one place - https://partner.spotterstudio.com/ideas-with-marina πŸ’» Resources that helps my team and me grow the business: - Email & SMS Marketing Automation - https://your.omnisend.com/marina - AI app to work with docs and PDFs - https://www.chatpdf.com/?via=marina πŸ“±Develop your YouTube with AI apps: - AI tool to edit videos in a minutes https://get.descript.com/fa2pjk0ylj0d - Boost your view and subscribers on YouTube - https://vidiq.com/marina - #1 AI video clipping tool - https://www.opus.pro/?via=7925d2 πŸ’° Investment Apps: - Top credit cards for free flights, hotels, and cash-back - https://www.cardonomics.com/i/marina - Intuitive platform for stocks, options, and ETFs - https://a.webull.com/Tfjov8wp37ijU849f8 ⭐ Download my English language workbook - https://bit.ly/3hH7xFm I use affiliate links whenever possible (if you purchase items listed above using my affiliate links, I will get a bonus). #siliconvalleygirl #alliekmiller #claude

Allie MillerguestMarina Mogilkohost
Apr 3, 202659mWatch on YouTube β†—

EVERY SPOKEN WORD

  1. 0:00 – 1:08

    Intro

    1. AM

      So every morning I wake up, my AI agent has already been working for me for several hours.

    2. MM

      This is Allie Miller, one of the top AI voices in the industry. She advises enterprises and business leaders, including those at OpenAI, Google, Anthropic, on how to use AI. And today she shows us exactly how you can build this too.

    3. AM

      Yeah, I have 36 proactive workflows with 28, like, master agents. You can schedule things-

    4. MM

      Whoa

    5. AM

      ... within all of these tools so that you, while you're sleeping or doing other things, or on a walk, or hanging out with your dog, that things can be running on your behalf.

    6. MM

      From two years ago, how much more productive are you now-

    7. AM

      Yeah

    8. MM

      ... with AI?

    9. AM

      Depending on the task is anywhere between, like, 2X and 10X.

    10. MM

      [dramatic music] So somebody finishes this video, sets up Claude, does all of the files. In one year, what's the gap between two versions of that person, one that said Claude up and one that didn't?

    11. AM

      They are going to have...

    12. MM

      Welcome to Silicon Valley Girl, Allie.

    13. AM

      Thank you for having me in glorious [laughs] San Francisco.

    14. MM

      [laughs] Let's pretend it's real. [laughs]

    15. AM

      [laughs]

    16. MM

      We are in the Bay Area, though.

    17. AM

      Yeah, the window view is stunning. [laughs]

    18. MM

      [laughs] Um,

  2. 1:08 – 2:59

    Allie's morning: AI agents working while she sleeps

    1. MM

      so today we're gonna get very practical. So can you tell me, if we do something today, how is somebody's life different in a month once they deployed everything we're gonna talk about?

    2. AM

      I think there's definite impact on productivity, right? The ability to not only make certain things go faster. My actual hope, if we can get there, is to give people the mindset shift that is needed so that even if I didn't get to your specific use case, that you can kind of apply that learning to anything that you might do for your business, whether it's marketing or sales, creating brand-new products. Uh, and then also, maybe, I think I just wanna give people a little bit of a guide so that they can see where things are going so that they feel a little bit less terrified. Those... We're setting big goals, but-

    3. MM

      Yeah

    4. AM

      ... that would... That's at least what I do with my clients, so.

    5. MM

      What about you? Uh, can you talk to me, uh, about Allie, for example, from two years ago? How much more productive are you now-

    6. AM

      Yeah

    7. MM

      ... with AI?

    8. AM

      So the last, uh, two years we've seen, like, a big paradigm shift about a year, year and a half ago, into, like, new age agentic AI. So two years ago, you could kind of ask AI to do research for you. You'd get back a sort of synthesis, and you would have to do that... take that knowledge and then do something with it. But now the AI system that you're using, or multiple agents, can take action on your behalf. So when I look at an AI assistant that I just ask questions to and get an answer back versus a thing that is meaningfully taking delegated work from me and managing multiple hours' worth of work and workflows, this felt like 20 to 30% productive. This, depending on the task, is anywhere between, like, 2X and 10X.

    9. MM

      Wow. So, so you're saying you actually have an AI agent who's your assistant, who's doing things for you. W- can you describe what it actually is?

    10. AM

      Yeah. I

  3. 2:59 – 5:58

    36 workflows, 100 agents: how her system actually works

    1. AM

      have 36 proactive workflows with 28, like, master agents, and-

    2. MM

      Whoa

    3. AM

      ... each of them spin up probably two on average, so call it 50-ish sub-agents. And those are... So-

    4. MM

      So that's-

    5. AM

      Yeah. Let me explain [laughs]

    6. MM

      ... that's almost 1,000 agents, right? Almost 2,000 agents. [laughs]

    7. AM

      It's... Oh, not per workflow-

    8. MM

      Mm-hmm

    9. AM

      ... just as a total.

    10. MM

      Okay.

    11. AM

      So it's somewhere around, like, 100 total agents. But what I look at is what can AI do that I don't have to kick off? Like, this is one of the biggest changes, and I think any single person, even if you're just asking it, like, "Hey, find me industry news this morning," if you know that you're gonna go to it every single morning and ask that question, that process of asking, not just the task itself and the prompt itself, but the task should be automated. So if there's, like, a competitor that you wanna check in on every single morning, that should be scheduled. You can schedule things inside of Claude Cowork, inside of Codex, inside of Claude Code. You can schedule things within all of these tools so that you, while you're sleeping or doing other things, or on a walk, or hanging out with your dog, okay, that things can be running on your behalf. So when I say 36 proactive workflows, those are the things that my hands are up and they're constantly coming in as a new stream.

    12. MM

      Is that an email that you're getting every day, or how does it look like?

    13. AM

      That's a good question. Um, most of them are emails. I have them routed into different folders, but just two examples. Um, every single Friday morning, I have a recap of all of the urgent emails that I have not yet responded to, ranked by urgency, uh, drafted, you know, some replies so that I can get to it faster. Um, it includes little, uh, the ability to delegate to people on my team, uh, and reminders if I don't reply to those emails. So that's a Friday proactive agent that is scraping, you know, my Gmail for the last five days and gets me a little download. Uh, second one is morning briefing. So every morning I wake up, my AI agent has already been working for me for several hours, which is great, and I wake up and I get this full readout of industry news, things that are happening in New York City or San Francisco that day that I can just have a social life, God forbid. Uh, I get, you know, um, kickoffs for my meetings. So if I'm having a client meeting and I'll be sitting down with, like, a Fortune 500 CEO, or maybe it's their CFO and I haven't met with them yet, then in that proactive system, in that morning brief, all I have to do is, like, write back with a keyword and I can kick off, uh, an AI agent to make assets for that meeting. So it can make me a deck-

    14. MM

      And it connects to your calendar, right? So it knows everything.

    15. AM

      Yes.

    16. MM

      When you're saying something like, "Okay, every morning I get this email," can anyone build this or does it require technical knowledge?

    17. AM

      None of what

  4. 5:58 – 8:12

    You don't need to code. Here's why

    1. AM

      I will be describing in the next however long we decide to chat [laughs] for will require technical coding skills. The one thing that I do wanna call out is that these tasks that you're completing, code is running in the background. Like, in order to have Claude figure out how to grab stuff from Gmail and bring it back, how to grab stuff from other areas of your Google workspace or your Fireflies or Granola and bring it back, all of that is usually set up through, like, an API where it's able to retrieve and bring it back. That is code-based. You just don't have to know how to code to get it done. So you can ask in natural language, "Hey, Claude, I usually, uh, find myself really stressed before a client calls. I wish that I knew every day whether I need to bring an umbrella 'cause I keep getting rained on and New York has horrible weather. Uh, I feel like I'm, uh, constantly trying to find meeting blocks and I'm struggling to find deep work time."Help me

    2. MM

      Mm-hmm

    3. AM

      And Claude will come back to you and say, "Wow, really sounds like you need a proactive meeting blocker. Sounds like you need a proactive client prep skill," right? All of these things, I, I know it sounds deceptively simple, but, like, the best first step to figure out what Claude should code to help you is just to complain.

    4. MM

      [laughs]

    5. AM

      Like, it, it is, it is so simple and, and I even still forget it. Like, last night I was complaining about having photos on my Android versus my iPhone, and Claude was like, "Here's what I'm gonna do for you. I'm gonna set up a Google Drive folder for you. Then you're gonna put it in here. Then I'm gonna pick between these photos and classify them. Then I'm gonna email your team," da-da, and I'm like, "Claude-

    6. MM

      Wow, that... This actually sounds amazing

    7. AM

      ... you, you, you wonderful thing. [laughs]

    8. MM

      [laughs]

    9. AM

      But it starts with a complaint, and all humans know how to complain. It's the joy that you get from having your complaint faced with not just, like, emotional validation, although that, you know, does feel nice sometimes, but, like, at a certain point I don't wanna be validated. I want that problem actually to be solved. So complaining to Claude, having it work with you in real time to come up with a solution that makes sense, but working back and forth with an AI and iterating on that delivery method,

  5. 8:12 – 9:37

    The best way to start: just complain to Claude

    1. AM

      that's the fun part.

    2. MM

      I think also another tip, uh, that I heard, I think from you, ask Claude to ask you questions.

    3. AM

      Oh, yeah.

    4. MM

      Like, if you can't figure out, can you walk me through that?

    5. AM

      Yeah.

    6. MM

      Do you just ask it? 'Cause I feel like you're, you're talking about even this email that you're getting, it's already very-

    7. AM

      Yeah

    8. MM

      ... sophisticated 'cause it gives you suggestions. It's at certain amount ti- uh, in certain, um, period of time, and then it accesses specific information that you want.

    9. AM

      Yeah.

    10. MM

      How do you know what it should be doing?

    11. AM

      So there's two parts to this. There's, like, the basic answers of just how do I get it set up, what are basic functionalities, and then there's the added delights. So on the first, you know, part of it, you can ask Claude Code one of two ways. You can either literally just say, "Can you ask me questions to figure out the best way to do a morning briefing?" Or there's a built-in skill that Claude Code has that I'm sure many other providers are trying to roll out too, called Ask User Questions.

    12. MM

      Mm-hmm.

    13. AM

      So you can say, "Hey, go ahead and ask user que- use the Ask User Questions skill and ask me, interview me about how I should set up my studio, and the types of microphones that I should have, and the type of water, and the type of furniture." And so it'll go through questions until it gets to a decent level of understanding, and then it'll go through planning mode and help you think through that.

    14. MM

      And it's actually very simple. It just gives you a button. You press it and that's it, right?

    15. AM

      Kind of.

    16. MM

      Or if you, if you're using Claude Chat-

    17. AM

      Oh, yeah

    18. MM

      ... which is basically-

    19. AM

      Claude Chat, Claude Cowork, those are great and easy.

    20. MM

      Let's, let's,

  6. 9:37 – 13:26

    Claude Chat vs Claude Cowork vs Claude Code β€” what's the difference

    1. MM

      let's, uh, describe the difference.

    2. AM

      Yeah, yeah.

    3. MM

      Um-

    4. AM

      Um, so there's three versions of Claude, uh, technically four. So four versions of Claude, and again, other providers have multiple versions as well. So out of the four, there's the normal Claude web app that we're all used to, single chat threads, the ability to ask a question, get it back. It can browse the internet for you, and you can very easily spin up projects. You can very easily connect it into Notion and Gmail and a lot of other pre-built connectors. It is a lot harder for AI to take action for you in that zone. It's not really writing code and solving your stuff, but it's very helpful at retrieving answers. The next level up from that is Claude Cowork, which is a business professional agentic AI tool, uh, or platform that allows you to kinda do a lot of what I just described with web, but you can point it at local files on your desktop or have it take action, let's say, like, "Hey, make me a Google Doc that blah, blah, blah." Claude Code, you're gonna have a lot more control, uh, a lot more capabilities, a lot more customizability. You can build, uh, software that way as well. And then the fourth one, which is kind of like the random little cousin on the side, is the Claude Chrome extension.

    5. MM

      Mm-hmm.

    6. AM

      So if you wanted to, let's say, take a lot of, you know, photos of your kid and make it into a collage, and you were on Walgreens' website, and you were on the literal make me a poster page, you could just have Claude take over your mouse basically and govern your Chrome window to take action for you on a specific tool. So those are the four-

    7. MM

      Mm

    8. AM

      ... but those skills that I was describing can be used in any of the first three.

    9. MM

      Allie just walked us through her setup. 36 proactive workflows, around 100 agents running while she sleeps. And here's the thing every team hits when they try to build something like that. It's not the technology, it's context. Your strategy lives in one tab, your tasks in another, and every time you bring AI in, you're basically copy-pasting into a blank prompt that has zero idea what your team has already figured out. That's exactly the problem Miro AI Workflows is built to solve. Your team's existing work in Canvas becomes the context for AI. No retyping, no starting from scratch. So ahead of this episode, I ran an experiment on something we do every single week, guest research. I pulled Allie's LinkedIn posts, her newsletters, transcripts from her recent interviews, and dropped everything straight onto Canvas. You can find all the documents and notes in one place. And here's what makes Miro different. The canvas itself is the prompt. That's how Miro keeps your AI grounded into your actual context, not generic information. I also set up a research sidekick, a custom AI agent that sits on the canvas and can answer follow-up questions about the material as I prep. Think of it as a specialist who's already read everything. Then I ran a flow, a visual multi-step AI workflow, and set up four theme zones, her AI agent setup, future of work predictions, practical advice on how anyone can start, and the angles nobody has covered. One click, Miro analyzed everything across all four zones and generated a summary document.Then I opened my custom research sidekick and asked it to extract the strongest themes and generate the interview brief. One minute later, the sidekick pulled the central episode angle, the three strongest questions, and the most counterintuitive thing she believes. Exactly what our audience needed to hear. If your team is juggling AI tools that don't talk to each other and none of them know what you've already built, Miro AI Workflows is worth trying. Link is in the description. Now back to Allie. Let's actually build something.

  7. 13:26 – 16:01

    Live demo: building a morning briefing from scratch

    1. AM

      So I'm going to say... And I'm gonna use the built-in functionality of voice. Okay. So I'm going to say, do we wanna do that, like, morning brief one?

    2. MM

      Let's do the morning brief. Yeah.

    3. AM

      Okay, cool. Okay. I feel really stressed every single morning, and I want you to make me a morning brief. I don't wanna yet give you access to my calendar and my email because I don't trust you yet. So at the very least, I want you to pull research related to my industry, and I am an executive at Apple TV, and I want you to pull, you know, recent news and press releases there and summarize at least the top three. Um, you should measure the top three based on what is going to impress my bosses the most when I walk into a meeting the next day, or what is the most talked about that I should definitely know about. Second thing I want you to pull is the most insane AI stories related to my industry, and you should write it in a way that uses the word game-changer and wild every other word. I also want you to pull the weather and tell me what to wear in a given day. I am based in San Francisco, California. And because I am trying to be more social, at the bottom of this recap, can you also go ahead and add three fun events that are happening in San Francisco in the next four days?

    4. MM

      Wow. That was quite a prompt.

    5. AM

      Yeah. And I don't even think about this as, like, prompts anymore, right? I'm gonna hit enter on this.

    6. MM

      Yeah.

    7. AM

      But, like, I, I just don't think about prompt engineering anymore. The, the rambling for one minute, 10 minutes is going to be more valuable, not because it's longer, although that is helpful sometimes. It is because I have been able to communicate all that weird nuance, all those weird... Like, the fact that I'm telling it when I'm stressed. So it came back. It says, "What time do you want the morning brief delivered each day?" Let's do 6:00 AM.

    8. MM

      Yeah. And let's ask it to show us a sample for today-

    9. AM

      Yeah

    10. MM

      ... so we can see the result.

    11. AM

      Yeah, of course. How do you want the brief delivered? And it says markdown file, Word doc, or PDF. Let's ask for it in a Word doc. All I've done is answer those two questions, and it's like, "Love it. 6:00 AM. Let me go ahead and build this for you." And so it is going to spin up a progress report for me in the top right corner. So it's using reasoning. It's coming up with these six steps, and I can track its progress. So the first one is reading the skill creator instructions, so that it knows how to create a skill.

    12. MM

      Let's define skill by the way, 'cause we mentioned it several times.

    13. AM

      Yeah.

    14. MM

      Skill is basically like a long prompt, right? [laughs]

  8. 16:01 – 18:57

    What is a "skill" in Claude β€” the toolbox explained

    1. AM

      Um, yeah, with some extra little zhuzhs. So imagine you're a mechanic and you have a toolbox-

    2. MM

      Mm-hmm

    3. AM

      ... let's say. Inside the toolbox, you've got a hammer, a screwdriver, a wrench, and a bunch of other things. Let's say that in that moment you're like, "I need a wrench." So Claude has the ability to look inside of its toolbox and go, "You know, she's asking for this, like, bolt. I have a wrench. This is perfect," and starts using the wrench, i.e. that skill.

    4. MM

      Mm-hmm.

    5. AM

      But it can also build brand-new tool skill things for you. So it can add new things to your toolbox. So if you're like, "Uh, actually, I need you to cut a lot of wire," none of the tools that I just described would allow you to do that. And so you can have it walk you through building up a new skill, right? Adding a brand-new thing to your toolbox. So-

    6. MM

      So basically if, if I'm a social media person-

    7. AM

      Yeah

    8. MM

      ... that would be, like, how I write a LinkedIn post, how I write a script for my reel, how I select a guest-

    9. AM

      Totally

    10. MM

      ... for a podcast and like that.

    11. AM

      Yeah. And also you should have one for your brand guidelines. You should have one for this anti-AI language.

    12. MM

      Yeah

    13. AM

      Like, so that anything that you're working on, you can apply the skill of remove all of this AI language for me, so it's not just-

    14. MM

      So it-

    15. AM

      ... your social media posts.

    16. MM

      So basically instead of giving it a long prompt, "Here's my Instagram, this is how I do it, I want to get 100K," whatever-

    17. AM

      Yeah

    18. MM

      ... you just say-

    19. AM

      It's like a 200-line document-

    20. MM

      Exactly

    21. AM

      ... in a folder sitting with some other documents that might include examples of your social post, might include your social performance download, like a CSV of all the data over the last 12 months or seven years or whatever it is.

    22. MM

      Mm-hmm.

    23. AM

      But basically it's a folder with one file that describes what the heck you want it to do, which might include things like access this tool, like go to Gmail, go to Google Calendar, whatever.

    24. MM

      Mm-hmm.

    25. AM

      And some resources, some examples. But, like, it is a folder, and anyone can make a folder. And if you don't wanna make it from scratch, like, the thing that I was gonna say that, um, Claude kicked back with is that I said, "Hey, do you know how to build a skill or whatever?" And it's like, "Yes. Not only can I build a skill for best practices and whatever, but I have a skill creator tool." So that is a built-in functionality inside of Claude, so that if you wanna build a new skill, like write in my brand voice for my newsletter, or if you wanna do a skill like, um, take all of this survey data that I got from my last, you know, Zoom poll, whatever, take all of this and summarize it into action items-For my analytics team to act on or for my growth marketer to act on. That is a repeated thing. You're like, "I gotta do this all the time." Seems pretty easy. Maybe it needs access to a tool. Maybe I'll make it a skill. And at the worst, you can always just ask Claude. You can be like, "I do this a lot. Do you think I should have it do a skill?" Or you can describe your entire day and say, "Come up with three skills that I would need

  9. 18:57 – 20:23

    How to migrate everything from one AI setup to another in minutes

    1. AM

      to build."

    2. MM

      I really like what you just said. Uh, whenever you have doubt, just ask Claude. [laughs]

    3. AM

      Yes.

    4. MM

      It knows whether it should be a skill.

    5. AM

      Yeah.

    6. MM

      And what I like about skills is that you can migrate them. Like-

    7. AM

      Yeah

    8. MM

      ... tomorrow you decide to use Perplexity Computer-

    9. AM

      Very flexible

    10. MM

      ... you just upload the skill to-

    11. AM

      Yeah

    12. MM

      ... Perplexity Computer, and it uses it.

    13. AM

      Yeah.

    14. MM

      Same with ChatGPT, same with whatever you're using.

    15. AM

      Also, asking Claude for answers doesn't always mean you're relying on Claude's answers or trusting Claude's answers. You know, if it says, "Sorry, I can't build a skill," I'm gonna be like, "No, you definitely can."

    16. MM

      [laughs]

    17. AM

      These two very smart people were talking about skills and, you know, sometimes you'll have to push back. Like, emotional fortitude is still very important here.

    18. MM

      Mm-hmm.

    19. AM

      But in this case, it did come back with a very accurate answer. The skills that it pulled was how to make a skill, that's the skill creator, how to write a Docx-

    20. MM

      Mm

    21. AM

      ... that's one, and how to schedule things.

    22. MM

      Mm-hmm.

    23. AM

      So even just to do what I needed it to do, it read three skills.

    24. MM

      Yeah, it already knows how to do that-

    25. AM

      Yes

    26. MM

      ... so you don't have to prompt it.

    27. AM

      The, the idea of, like, agents teaching other agents new skills and being able to have these modular skills that I can throw over-

    28. MM

      Yeah

    29. AM

      ... like, if I'm the LinkedIn voice skill and you're the Twitter or X voice skill, I might still pass to you my anti-AI information-

    30. MM

      Mm, mm-hmm

  10. 20:23 – 24:22

    AI as intern vs AI as teammate β€” why the difference matters

    1. MM

      this? [laughs]

    2. AM

      This feels more like a delegate, where I am assigning it work that it is doing on my behalf and just giving it back to me.

    3. MM

      Mm-hmm.

    4. AM

      If I said, "Give me this morning briefing and make it work for my whole team. Send it out to all of us so that every morning we're starting this meeting, you know, at 50 miles an hour," or, "Read through all of our, you know, Jira tickets to be able to figure out what the process, uh, what the progress of this new commercial real estate build is doing." Like, l- look at our actual process. Teammate is when it is uplifting a system and not just an individual.

    5. MM

      Mm-hmm.

    6. AM

      You could think of it as though, as a delegate or a teammate just for, like, easy use of words. I think the people who are using AI the best, even if it's just for productivity gains, they are looking at AI as a teammate, as a first-class teammate. Like, I actually get pretty annoyed when I hear people say, "Oh, AI is an intern." I'm like, "What intern has PhD level intelligence-

    7. MM

      All the knowledge in the world [laughs] yeah

    8. AM

      ... the ability to read the entire internet?" Like, if I hear AI's a smart intern one more time ...

    9. MM

      Yeah

    10. AM

      ... I'm gonna, I'm gonna throw this table on the floor.

    11. MM

      So teammate is active, uh, s- someone who's proactive and inside your whole workflow.

    12. AM

      And, and helping a team.

    13. MM

      Yeah.

    14. AM

      Like, I... All of these enterprises that I work with, if I say like, "Great, how is your work doing?" I'll get success stories. I'll get amazing tales of some individuals who are AI super users getting that 3X gain, 5X gain. They are probably not sharing that insight with their teammates because they are hoarding it for themselves-

    15. MM

      Mm

    16. AM

      ... 'cause they benefit greatly from keeping it to themselves.

    17. MM

      Mm.

    18. AM

      So enterprises are really having a problem of sharing AI knowledge with one another, transferring that productivity into other departments that may be behind.

    19. MM

      Yeah.

    20. AM

      And so having AI be a supportive mechanism, I bet you that the majority of small, medium business owners that are listening to this, or entrepreneurs, they are gung ho on AI, and you know that they have one, two people on their team who are like, "What is this? What do I have to do?" Using AI as a functional shared teammate to be able to reduce the friction on that person, it's gonna make it go by so much easier. Okay, do you wanna look at this doc?

    21. MM

      Yeah.

    22. AM

      See, now this i- this is annoying 'cause now I want to do all these events. Okay. So we get our first ever Docx. It's giving us today's date, and it is going to run us through... Ooh, see, it already had your name. Okay.

    23. MM

      [laughs]

    24. AM

      Good morning, Marina. So top three industry stories, we get things that are not necessarily related to AI, that Peacock is doing something about vertical video, obviously because every single person's building vertical TV shows, even though Quibi technically started it. For AI and entertainment, Netflix acquired things, so maybe I take this story. I might just copy this and throw it into my Slack. I might ask for it and say, "Hey, instead of writing it for me with wild and game changer, instead write it as a message that I can just send to my boss."

    25. MM

      Or a LinkedIn post.

    26. AM

      Exactly.

    27. MM

      Commenting on this.

    28. AM

      Yeah.

    29. MM

      Mm-hmm.

    30. AM

      And by the way, when you do this morning brief, use my LinkedIn voice skill, and you can-

  11. 24:22 – 30:07

    3 documents everyone should start with in Claude

    1. AM

      still one.

    2. MM

      Yeah. [laughs]

    3. AM

      Okay, so three documents that I would start with. The first is your personal constitution. This has nothing to do with what year it is, what you did last week. Everything about this document is just, like, who you are at your core. What values do you hold? So, like, one of my core, core values is entrepreneurship, and I mean that in every single facet of my life. Like, I want to be high agency at all times, so agency is another one. But I have this core personal constitution, and this is also, by the way, a big thing in Silicon Valley. It's been happening for a while. That if I was onboarding you onto my team and I wanted you to, like, know my vibes and personality and, and means and methods-There are people that just, like, hand each other a personal constitution and say, "Learn about me-

    4. MM

      Mm-hmm

    5. AM

      ... study me." So they should have a personal constitution, definitely, a 2026 goals document. That could be annual, that could be quarterly, monthly, weekly, new habits you wanna build, habits you wanna kick. Um, you know, specific inputs or outputs you wanna manage. Like, I wanna be able to run twice a week, or I want to have family dinners at least once a week, or I wanna travel 30% less. Um, so a personal constitution, personal goals for the year broken out, and then if you're running your own business, you need, at the very least, like, a core business strategy doc. Um, I wouldn't get into details of, like, what vendor did you work with in June-

    6. MM

      Mm-hmm

    7. AM

      ... but an overall thing of, what does your business do? Who do you serve? Who do you not serve? What is your value proposition? Like, pretty basic, you know, marketing things, things that probably exist on your LinkedIn page, things that exist on your website. But the ability to add in the things that aren't on the website, like, "We've tried to launch a podcast for the last three years, and here's why it didn't work," or, "The reason that we live in Savannah, Georgia is because of blah, blah, blah." So you're giving that extra color to decisions. Those are the three documents that I would absolutely start with. If you literally take this section of the podcast and you take the transcript that I just said and you feed it into Claude and you say, "Wow, Allie said three documents that I had to make." Ask me questions for the next hour-

    8. MM

      Yeah

    9. AM

      ... and you are going to make these three documents for me, and you get to go on a walk and just answer those questions to Claude while it is building up those context docs for you. And then for the rest of eternity, right, until you, like, update them again, Claude can just access those documents for you, or Claude Cowork and, uh, Claude Code can access them for you if they're on your laptop and can retrieve it, and then anything you want to do can now be more tied to your goals. Anything you wanna do for your business, you can go, "Is this the direction we wanted to go in?" And you might decide, okay, it's not the direction, but I, a- at least I know that.

    10. MM

      Mm-hmm.

    11. AM

      Right? And I'm gonna scrap this plan and we're gonna go. Like, when I worked at AWS, we would pivot strategy, you know, the, the execution of it maybe six months into the year. But that North Star was staying the same.

    12. MM

      Yeah.

    13. AM

      So that document needs to have both sides.

    14. MM

      And you're gonna spend, like, an hour, right, building those three documents-

    15. AM

      Oh, yeah

    16. MM

      ... maximum.

    17. AM

      I don't, like... I don't know if your team has done this yet, but my team, uh, we blocked out an hour on our calendar all together. We got on a Zoom, all of us went on mute but kept the video on, right? It was this, like, accountability hour.

    18. MM

      Mm-hmm.

    19. AM

      And we called it a context hack, and all we did was ask Claude, like, "Hey, ask me questions about my personal goals," or, "Ask questions about our vendor," and all we did was just build out context docs for one hour, and we shared out at the end-

    20. MM

      That's a good practice.

    21. AM

      It was-

    22. MM

      Yeah

    23. AM

      ... like, taking the time out ... The fact that people are listening to this podcast, right, they're already taking time out to learn about AI tips and tricks and productivity and platforms. Like, you need to also do that in your workday. You need to be able ... You need to find those 20 minutes to carve out because those 20 minutes are gonna save you three hours in your first week.

    24. MM

      Why not ChatGPT? 'Cause ChatGPT can al- do all of this, right? But what is the dif-

    25. AM

      Yeah, so I... Like, if you had asked me two years ago what tool I was using, 99% of the time I was using ChatGPT, and now 99% of the time I'm using Claude Code. So, like, I am gonna be a lot more flexible in the operating system that I use for my business because I am teaching millions of people how to use this stuff, so I need to know what's happening.

    26. MM

      Mm-hmm.

    27. AM

      I think there are people who have made that switch. The most common thing that I hear is the tone and personality and voice and, like, ability to mimic voice, uh, the level of empathy. Like, I don't hear it as much on, like, "Ah, it handles my agentic AI workflows with such precision," and it is a lot more of just like, "Ugh, it gets me."

    28. MM

      Yeah.

    29. AM

      Like, I have to ask for things less. Like, I can give it just a little bit of a description and it's able to build out this whole client template that I need. But again, in a couple weeks, that might change. And so I think every single person should, at the very least, pick, like, one core AI tool. For now, my main recommendations are gonna be ChatGPT, Claude, and Gemini. Like, pick one of those. And you have to find time to test out their agentic versions.

    30. MM

      Mm-hmm.

  12. 30:07 – 31:57

    ChatGPT vs Claude: why Allie switched

    1. AM

      harder.

    2. MM

      It's not, right?

    3. AM

      It's not.

    4. MM

      Remember when we were talking that the moat is having memory about someone-

    5. AM

      Yeah

    6. MM

      ... but you can just transfer everything-

    7. AM

      Yeah

    8. MM

      ... really easily. I think Claude just released a feature.

    9. AM

      Yep.

    10. MM

      A prompt that you-

    11. AM

      There's an import

    12. MM

      ... paste into your ChatGPT and import. And also what I think ... So we talked about MD files. Just saving them into one folder makes it really easy to migrate anytime-

    13. AM

      Yes

    14. MM

      ... 'cause that's, that's the core.

    15. AM

      If you are some... Like, I think a lot of the agentic AI systems are more simple than, uh, really, you know, technical leaders are trying to make it out to be. You can just create a very nicely organized file system and be in a really good position for your business.Right, those context docs for sure. Having those downloads of a couple key, uh, client templates or resources that you keep coming back to, um, or newsletters if you're trying to write those, or contracts that you always have to create new versions of. Just being a slightly more organized person on your own desktop or Google Drive or SharePoint or whatever you're using is going to be a hack [laughs] for the next year.

    16. MM

      And it's such, such an inve-

    17. AM

      Yeah

    18. MM

      ... you don't understand this investment. Some people are like, "Oh, it takes so much time to create all these files."

    19. AM

      No.

    20. MM

      This is investment.

    21. AM

      Yes.

    22. MM

      And you do it once, and then your mind is gonna be blown.

    23. AM

      Yes. And again, complain to AI. You can say, "Oh my God, Marina and Allie were telling me to make all of these freaking context docs. It feels like it's gonna take so much time." Claude is likely to come back and go, "Wait a second. I will ask you the three questions that will give me the highest signal, and therefore, we will only use five minutes of your time-

    24. MM

      Yeah

    25. AM

      ... and we'll at least get you started with some sort of context doc." So that I at least moved away from completely generic into 50% Allie zone, and then I can save 100% Allie zone for later, but, like, you gotta

  13. 31:57 – 33:38

    "The concept of an hour has changed" β€” how AI reshapes work and pricing

    1. AM

      start.

    2. MM

      And once you start, that's the feeling I've been describing. I feel so much at ease thinking about problems I might encounter. 'Cause when Claude solved the problem of picking the right, uh, health insurance plan-

    3. AM

      Yeah, which probably felt great too

    4. MM

      ... now... Yeah. The... And it took me basically five minutes versus a few hours that I would spend-

    5. AM

      Wow

    6. MM

      ... with a booklet-

    7. AM

      Yeah

    8. MM

      ... uh, comparing everything. And when it comes to your business, so you, you said you're personally like 10X more productive, right, in the past.

    9. AM

      Some tasks 2X, and some tasks I'm like, "Oh my God, where did the time go?" Um, it feels like the concept of an hour has changed. Like something that I talk about with my team a lot is just like what is time? What is time? What are we doing? Should we ever charge by the hour again? Like-

    10. MM

      Yeah

    11. AM

      ... it's a very weird thing to be going through.

    12. MM

      We're actually switching that in my team.

    13. AM

      Yeah.

    14. MM

      'Cause we used to pay by hour, and I'm like, "We should pay-

    15. AM

      Yeah

    16. MM

      ... by video." 'Cause I don't care-

    17. AM

      Yeah

    18. MM

      ... if you spend five minutes on this video.

    19. AM

      Yeah, we switched too.

    20. MM

      If you have a process set up, then-

    21. AM

      Yeah. We made that same j- uh, when did you make that shift?

    22. MM

      Like a week ago. [laughs]

    23. AM

      Yeah, but still, but, like, now is the time.

    24. MM

      Yeah.

    25. AM

      Right?

    26. MM

      Yeah.

    27. AM

      Yeah, I think paying by output and at a minimum quality level, um, is the right play. Um, and so if you are someone who's, like, I don't know, you're building AI SEO strategies for small, medium businesses in your neighborhood, which is perfectly lucrative right now and still is a really nice business opportunity, or you're building websites for restaurants in your area, whatever it is. Maybe before it took you two days of work. You are still giving the same level of value to that end buyer. They were no more likely to solve their own problems. So why would you charge 1/48 of what you used to charge just because you can

  14. 33:38 – 35:48

    What about your business? How Allie uses AI with clients

    1. AM

      do it in one hour instead of two days?

    2. MM

      Mm-hmm. What about your business? Where do you s- have you seen the most transformation?

    3. AM

      With AI?

    4. MM

      Yeah.

    5. AM

      I think being a more supportive advisor. So, like, I have a lot of different clients in different industries, and so I'll usually write up this, like, big client recap about my, you know, conversations with AI leaders or product leaders or founders about what I'm learning in the field, and it's a private email that I only send to my clients. The ability to customize those emails at scale, and then I get to review them, that is so helpful. And again, going back to that context doc, I have a context doc on each of these big retainer clients so that as I'm giving advice and I'm saying, "Here's what I would do if I were, you know, a CFO or a CHRO leading this initiative," I have a section. And then I always say what was, you know, AI generated, or if it was reviewed by me, then I'll remove that. But if it was an AI generated section, I would say, "And by the way, here's the Claude, you know, specific version for your company." And they're getting tailored advice, yes, and I know we just said advice is not the, you know, greatest thing of all time. But I encourage all of my clients and newsletter readers, you'll see this at the top of, like, pretty much all my newsletters. I say, "Steal my stuff. Take my newsletter, take my client recap, put it into whatever agentic system you're using. I am gifting you context." Right? Take that six-step thing that I literally just told you to do, throw it into Claude, and just write, "Huh?" And it'll walk you through that. At the very least, it'll explain it, and then it'll say, "Do you want me to walk you through it?" But, like, everything that I'm providing, I'm thinking about it as a gift of context.

    6. MM

      First of all, isn't Allie freaking amazing? And second, I know she's dropping a lot of knowledge in this episode. If you want to just copy and paste her prompts, if you just want to copy and paste whatever you should be doing with your Claude, subscribe to my newsletter, and we're gonna send you the most actionable email from this episode. The link is down below. So can you look at our setup and tell me how sophisticated it is-

    7. AM

      Sure

    8. MM

      ... and which level it is?

  15. 35:48 – 40:10

    Allie reviews Marina's Claude setup live

    1. AM

      Sure.

    2. MM

      So for example-

    3. AM

      Do you wanna translate what that one means? [laughs]

    4. MM

      Yeah, so, uh, my whole team speaks Russian, so we do, we do.

    5. AM

      Oh, wow.

    6. MM

      So this is, this is a project for every social media that we're running, the Clips channel, Telegram, PR-

    7. AM

      Okay

    8. MM

      ... Spotify, one YouTube channel, another YouTube channel, uh, Facebook, Instagram.

    9. AM

      Okay. What I'm, what I'm seeing, um, missing... Let me just go through this. So I love that you have it broken out by medium and by business.

    10. MM

      Mm.

    11. AM

      And you have that in spades, right? Like, all of these projects are which business, which channel, which business, which channel. Um, where's your scroll? There. Um, and I love that because you're able to go in deep. What I love is when you have these more horizontal projects like overall design-

    12. MM

      Mm

    13. AM

      ... overall PR, overall how to use Claude. I guess that's an example one.

    14. MM

      That's one.

    15. AM

      But, like, I love the play between deep vertical projects and awesome horizontal projects.

    16. MM

      How do you connect them? 'Cause you can't connect two projects, right?

    17. AM

      Uh, you can't, but you can tie in skills.

    18. MM

      Okay. So based on, for example, if I go to this, uh, project PR, I can just tell it, "Build a skill based on this called PR."And whenever we have a new podcast, I tell it, apply PR skill to, uh-

    19. AM

      Yeah

    20. MM

      ... create PR news.

    21. AM

      Um, you might... It might have you export some of the files inside. Actually, don- I- I'm not a big, big user of Cowork.

    22. MM

      Mm-hmm.

    23. AM

      So you'd have to ask Claude whether it can do that. My guess is no. Um, but, you know, functionality is always changing-

    24. MM

      Mm-hmm

    25. AM

      ... always good to guess.

    26. MM

      What do you think is the next step for us?

    27. AM

      Uh, if we go back to your list of projects?

    28. MM

      Mm-hmm.

    29. AM

      So I might think of a project like, um, net new product development, right? And so, like, that might be, uh, brainstorm calls that you guys have as a team.

    30. MM

      Mm.

  16. 40:10 – 43:21

    When to trust AI and when not to

    1. AM

      helpful.

    2. MM

      Uh-

    3. AM

      Yeah

    4. MM

      ... quick question here, especially when it comes to legal stuff, right?

    5. AM

      Yeah.

    6. MM

      Uh, I just saw this research where they gave, I think, ChatGPT to entrepreneurs in Kenya, and there were some entrepreneurs who were just beginners, and they started using ChatGPT to make all decisions, and basically they buried their business to the ground-

    7. AM

      Yeah

    8. MM

      ... 'cause they couldn't select the right choice that ChatGPT prese- presented them with. And then there were sophisticated entrepreneurs-

    9. AM

      Yeah

    10. MM

      ... who 10X'd their businesses because they started using AI.

    11. AM

      Absolutely.

    12. MM

      How do you decide when you trust AI and when you don't?

    13. AM

      So first, I have read... Can I close this and move this around?

    14. MM

      Yeah.

    15. AM

      Um, the, the, the answer is you don't, right? In your f- really specific field of expertise, you're a lot more easily gonna be able to see what is bullshit and what is not. So if I'm asking it for AI direction of a product, like I know exactly what is real and what is not. But if I'm asking it for quantum physics theories, I have no idea. And by the way, there are people losing their minds with some of this stuff, thinking that they've invented brand-new s- fields of science and, like, none of this would-

    16. MM

      Yeah

    17. AM

      ... ever work. But it sounds really convincing.

    18. MM

      Oh, there was this, this news-

    19. AM

      So-

    20. MM

      Sorry, I'm gonna... It's just-

    21. AM

      Yeah

    22. MM

      ... horrible. So somebody-

    23. AM

      Yeah

    24. MM

      ... uh, fired someone to not pay them $200 million based on ChatGPT's advice, and those people sued them back, so now he owes more.

    25. AM

      Oh, yes, yes.

    26. MM

      Have you seen that?

    27. AM

      It was a startup founder with a contract.

    28. MM

      Jesus Christ.

    29. AM

      I did see that.

    30. MM

      Yeah.

  17. 43:21 – 46:05

    The mindset that separates AI winners from everyone else

    1. AM

      while also taking things off my plate?

    2. MM

      And this is the most important skill, I think. All of us-

    3. AM

      Yeah

    4. MM

      ... should be learning this and what I'm teaching my kids.

    5. AM

      Yes.

    6. MM

      Like, create something by yourself.

    7. AM

      Yes.

    8. MM

      Yes, you can ask ChatGPT to help you-

    9. AM

      Yeah

    10. MM

      ... but create something.

    11. AM

      High agency and sense of wonder, which by the way, parents, you're so lucky because you can just go to your kid and get a healthy dose of, like, childlike curiosity.

    12. MM

      Mm.

    13. AM

      And for those of us who don't have ki- like, you gotta d- drink a glass of wine to kinda loosen up-

    14. MM

      [laughs]

    15. AM

      ... and feel that way. But it is amazing to hear the types of questions that kids ask, and just assume that things are possible and go to these systems and be like, "Amazing idea."

    16. MM

      Oh, yeah.

    17. AM

      "Let's try it out"

    18. MM

      That's, that's, that's what ki- kids tell me. I'm like, "This is impossible."

    19. AM

      Yes.

    20. MM

      "Go ask ChatGPT."

    21. AM

      Yeah.

    22. MM

      "Go, go ask Gemini."

    23. AM

      And not necessarily-

    24. MM

      "Google it, Mommy" [laughs]

    25. AM

      ... to figure out, like, an answer, but to just see what is possible. Like, things that we can build now that we couldn't build before. Like, you can architect a brand-new bridge, right? You could, you could create a new, uh, color personality and create an entire product line, uh, using lemon zest yellow. I m- that probably already exists, but, like, you can just create things.

    26. MM

      Yeah.

    27. AM

      Like, now in almost every single car ride that I'm in with friends, I'm just like, "Should we just invent a new business while we're driving in this car for the next 15 minutes?"

    28. MM

      Mm-hmm [laughs] .

    29. AM

      And it becomes, like, a race to see what we can do. The ability to discern good from not good, and that's a little different than having the skill to do the thing in the first place, right? Like, you know whether you like an ad or not.

    30. MM

      Yeah.

  18. 46:05 – 49:33

    What's coming in AI in the next 12 months that nobody expects

    1. MM

      Okay. I have a couple last questions.

    2. AM

      Okay.

    3. MM

      So you're working with these amazing companies, and you're seeing what's being built, and you're using it. What is gonna happen in 12 months that you think-

    4. AM

      [laughs]

    5. MM

      ... and no one is expecting it right now? What do you think is the trend?

    6. AM

      It's like some people are seeing this, right? There's always gonna be some people who are seeing around the corner. I think one of the bigger shifts that is gonna happen this year... And by the way, I'm gonna do a small plug. Uh, every single year for the last eight years, I've released my yearly AI predictions, so if you wanna see my actual AI predictions, I have, like, 25 that are all for this year. I think-

    7. MM

      Do they all come true, uh, from past years?

    8. AM

      I've been tracking them year over year. A- and not to brag, but, like, I think, I think I'm one of the stronger forecasters.

    9. MM

      Wow.

    10. AM

      Um, but-

    11. MM

      Okay. I'm excited to hear what's, what's coming

    12. AM

      ... but also things are happening-

    13. MM

      Yeah

    14. AM

      ... faster-

    15. MM

      Mm-hmm

    16. AM

      ... um, in a lot of zones than I'm predicting. So the bigger release... Again, we're seeing, like, agents. We get it. We're seeing multi-agents. We get it. We're gonna see net new interfaces. We're gonna see new data centers. We're get... Like, there's a lot of more obvious things. One thing that might not be as obvious to, uh, you know, newer-to-AI folks is the concept of self-learning. So a lot of people believe that when you're having a conversation with ChatGPT or Claude, as you are having that conversation, that it is, like, learning about you. It's not really learning, it's just that your conversation is in its context and that it is processing now with that added couple paragraphs. Or when it's creating a memory file on you, again, it's just adding it into-

    17. MM

      Context, right

    18. AM

      ... either a RAG system or, yeah, just-in-time context that it's grabbing. The s- actual self-learning that we might see is that the model itself might update and improve and literally learn, and that, like, the model weights would change. The functionality of the model would change. That's a big part of it, and then the second is that the, the way that it decides when to, uh, learn or improve or change or shift is not going to be when a human is like, "Hey, can you now self-learn?"

    19. MM

      Mm-hmm.

    20. AM

      No. It's going to be looking at some sort of environmental trigger or context, or it's going to know, "Hey, I've been listening to Marina's calls for the last five months. She's been deciding whether or not her next hire is gonna be based in Nashville or New York. I can see that she just hired Jeff Smith, and Jeff Smith lives in New York, therefore, I just got feedback that I can update in my own brain that she picked the New York one."And so based on what we decided as our decision framework- Mm-hmm ... she seems to right now be favoring high-risk, higher payoff decisions. So that grabbing of little- Like context ... details, details from- Yeah ... from the context. Which, which humans do extremely... Well, humans that are aware and paying [chuckles] attention- Mm-hmm ... do very, very well. But, like, we've seen the most rudimentary versions of this. Like, you go on Netflix, you watch some sort of, you know, movie, or you go on Hulu, you watch Chad Powers, whatever, and you, like, up vote it or down. That's environmental feedback. That's context. That is a trigger so that it can better improve a recommendation engine. So basically,

  19. 49:33 – 52:06

    Your AI will know you better than your strategist

    1. AM

      the advice we're gonna be getting from AI in a year, they're gonna be comparable to a great strategist, right? It's, it's certainly gonna be a lot more customized. Mm-hmm. Like, the direction of all of this stuff is that every single person is going to have their own AI system, their own AI operating system. So every single thing is gonna become a market of one. Your AI system will be purpose-built for the things that you need it to do. It'll know your tone of voice. It'll know your hopes and fears and cholesterol levels and all these things about you. Maybe it won't blend work and personal as much as in your life, but it will be personalized to you. And you can imagine, as you experience the world, every blog post you read could be customized to you, every website you see. There are tools right now, like Flint and a bunch of others, that are creating brand-new, hyper-customized landing pages in real time, so that as I'm visiting nike.com or whatever, that I'm seeing the Allie version of that website. Maybe it knows that I love, you know, dark green, so it's gonna show me the dark green shoe. And showing you women's stuff, not men's stuff, for example. Yeah, exactly. Well, I buy a lot of men's clothes- Yeah ... but, yeah. [laughs] Well, or- But it knows that about you ... that sort of... Exactly. Men's clothes that are gonna fit you. Exactly. So everything having that market of one, not just our AI experiences, but the output, the idea that my agent is going to talk to your agent, we're gonna have probably early signs of that this year. I already see it happening. I have people emailing me going, "Hey, Allie's agent." Like, they already know that the thing that is reading my Gmail first are those proactive agents, and so they are talking to their AI systems, and the... I c- like, is that not weird? It is. [laughs] That they're writing emails to my agents. I see it in my Instagram DMs as well. "Hey, AI Allie, do, do, do," and people are already starting this proxy to proxy communication. It is going to be even more important to have actual personal relationships because if everything is just your proxy floating around in the, you know, interwebs and metaverse and wherever- Mm-hmm ... what a weird life to lead and sad and lonely likely. But it is the hope that by having some of these proxies all meet up with each other, things can happen faster. Yeah. Like, if we were planning out this podcast, let's say, which I know we're just, like, riffing and having fun, what if our two AI agents had had a meeting on our behalf and then came back and said, "Here are the five questions that you guys should start with"? Yeah.

  20. 52:06 – 54:25

    What happens to teams when everyone is 10X more productive

    1. AM

      What, what's gonna happen to teams then? What I'm thinking- Yeah ... like, if my social media manager is able to pull off whatever she's doing for eight hours, then she's gonna be able to pull it off in 20 minutes. Does that mean she's gonna have more clients? Are we moving to a world where you have multiple people that you're working with? So smaller teams are gonna be able to pull off what bigger teams are doing today. There are gonna be some companies that say, "Great, we can reduce 75% of our headcount, and now instead of eight social media managers, we have two." Right? That is one path that some companies are taking. There are others that say, "Wait a second, we have eight really smart people who deeply know social media. I'm gonna keep two of them on the core task. We've always wanted to launch on YouTube, so that'll be person three's job. We've always wanted to create audio files of all this stuff in 70 different languages. That's person four's job. We've always wanted to..." Et cetera, et cetera. Yeah. So you can imagine either taking new tasks on that make you more visible to more people. You can gather more clients. You can provide more, uh, value. Um, you can launch net new business lines. Like, maybe you decide to use ManyChat instead of Instagram, and maybe no one on your team of eight even had bandwidth to do that, but now you can take that on, or now you can build out that second brain of your voice and constantly have it be updated- Yeah ... because one person's job could just be to maintain all of your AI skills and projects, whatever, related to your social media. Like, that is now something someone can do. And, um, I see this happening in my team. The way we, I don't know, we 5X'd the amount of output on social media because of that. In the last couple weeks or months or what? Yeah, yeah, because, uh, in the last, I would say, like, three to four months, but the past month- Yeah ... has been especially ac- 'cause now a person who used to do- Yeah ... guest outreach is also doing my PR, is also doing my GEO- Yeah ... like general, generative en-engine optimization- Yeah ... because she's using Claude to do that, and it's just fascinating. Like, for me, I don't see laying off people. I see that we're just gonna 10X our output. The last question. So somebody finishes this video, sets up Claude, does all of the files. Okay. In one year, what's the gap between two versions of that person, one that set Claude up and one that didn't?

  21. 54:25 – 57:41

    The gap in 1 year: Claude user vs non-Claude user

    1. AM

      They are going to have a system that can better help them and their business without heavy lifting, and that means you're not heavy prompting every single time. All of the answers are more customized and valuable. You don't have to keep resetting up your projects and systems and grabbing stuff. That's kind of, like, the obvious gain, right? You are gonna be more productive and gain more value.My bigger hope is that as new things come out between now and 12 months from now, or now and at least the end of the year, that you're gonna have less fear as you see these new releases. 'Cause you're gonna go, "I've actually been playing with agentic AI-type things. I've already built a skill, so when you're showing me scheduling, I know that that means I could schedule that skill. When you're showing me brand-new dispatch capabilities where I can control all this stuff from my phone, I know what it already looks like on my desktop, so it's easier to do it on my phone." Like, there's a phenomenal snowball effect that happens, especially with beginners in AI, where they start on that small task, and then maybe if they sleep [laughs] it's-

    2. MM

      [laughs]

    3. AM

      ... the next day, right? But they're able to get more of those practice cycles in.

    4. MM

      Yeah.

    5. AM

      And that is not a complete, uh, erase of all of their fear, but it'll lessen it by 30 to 70%. And so much of it just comes from exposure to some of these more advanced tools.

    6. MM

      Not just fear of AI, fear of tasks, in my case.

    7. AM

      Oh, yeah.

    8. MM

      Like-

    9. AM

      Absolutely, yes

    10. MM

      ... I'm like, "What if this happens? What if that?"

    11. AM

      Yes.

    12. MM

      I'm like, "Oh, AI is gonna handle it."

    13. AM

      Right? Having more, like, gusto for your life. Like, again, the downside is that I feel like I'm not sleeping as much, but I see a problem that five years ago Allie would've been like, "Why am I having to solve this?" And now I'm like, "I get to solve this. Let's go."

    14. MM

      Yeah. Well, let's solve it.

    15. AM

      And it's now a challenge. Like, I try and break these systems. It is thrilling to be faced with a thing that I don't know how it's gonna end, to see what that, like, journey with AI is like. So I, I hope that people find this joy, this sense of experimentation, this curiosity and wonder about it, and have that agency so that if you're ever like, "I wonder if AI can..." Open up Claude [laughs]

    16. MM

      [laughs]

    17. AM

      ... and ask that question, and give yourself 10 minutes just to see what you can do on that problem.

    18. MM

      What happens to the income of that person?

    19. AM

      It's a, it's a great que- like, I would love to be a high person-

    20. MM

      Mm-hmm

    21. AM

      ... and be like, "It obviously goes up. They're all gonna make-

    22. MM

      [laughs]

    23. AM

      ... so much money." Um, there are some people just for this year that are taking a step back on income so that they can fully pivot into the space of AI, and I want that person to know that, like, that's okay. Like, your long-term goal should be financial stability, not always necessarily maximizing income. I do think that there is going to be some instability in markets. And so if you are someone who learns AI, and you are someone who diversifies your sources of income, and is intelligently frugal, right, not going down to bare bones, but being smarter with your money, the combination of those three gives me a lot more hope for that person's,

  22. 57:41 – 59:16

    Should you sacrifice income to go all-in on AI?

    1. AM

      you know, net income at the end of the year.

    2. MM

      Yeah. And it's a long-term play. That's, that's something I keep-

    3. AM

      Yeah

    4. MM

      ... thinking about when you're too, too much into, like-

    5. AM

      Yeah

    6. MM

      ... optimizing, optimizing. You're like-

    7. AM

      I, I started in AI almost 20 years ago. I worked in it every single day for the last decade. I wouldn't do that unless I thought that it was, one, helpful for me for my own personal business and business growth, and two, that I thought I could help a billion people figure this out, and I thought it was net positive for them as well.

    8. MM

      Yeah.

    9. AM

      So, like, my hope, of course, is that everyone is gonna have everything that they've ever wanted. But it is okay to take some side steps and to kind of move along more of a wall than a ladder to be able to get there.

    10. MM

      Thank you, Allie. I feel like for everyone who's been listening, uh, sometimes you're doing this manual task every single day, but it takes some time to stop and, like, fix it. But once you do, once you fix it with AI, your, your mind is gonna be blown. Thank you so much for being so practical. And, uh, let us know in the comments, uh, what you're gonna handle first with, uh, with Claude.

    11. AM

      Thank you.

    12. MM

      Thank you. By the way, if you're enjoying this and you wanna dig deeper, like what are the skills? How to automate this or that? I had an amazing conversation with Kian Katanforoosh, who teaches AI at Stanford, and, uh, he co-founded a company called Deep Learning AI together with Andrew Ng. His episode was so practical. He was actually the reason I came back home from Davos and started doing this whole Claude thing, and, uh, it completely changed the way we work. So tune into this episode right after this one.

Episode duration: 59:16

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