Pod Insights Silicon Valley Girl: AI, Tech and Career Growth How to Build an AI Brain in 1 Hour: 3 Documents, Zero Coding — Allie K. Miller About this episode Allie K. 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 — 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 — 36 proactive workflows, around 100 agents running while she sleeps — 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.
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Transcript 11,431 words · 7 speakers
Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.
0:00 Speaker 00 This episode is brought to you by Indeed. You're ready to level up your business, but the pressure to find the right person to make that happen is intense. Indeed sponsored jobs can help carry the load. It boosts your job post to help it reach quality talent fast. Cut through the chaos with Indeed sponsored jobs. Get a $75 sponsored job credit at indeed.com/podcast. Terms and conditions apply. Hiring now? Then this is a job for Indeed sponsored jobs.
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0:59 Speaker 02 So every morning I wake up, my AI agent has already been working for me for several hours.
1:04 Marina Mogilko? This is Ally 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.
1:19 Speaker 02 Yeah, I have 36 proactive workflows with 28 like master agents. 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, that things can be running on your behalf.
1:33 Marina Mogilko? From two years ago, how much more productive are you now with AI?
1:36 Speaker 02 Depending on the task, it's anywhere between like 2X and 10X.
1:41 Marina Mogilko? So somebody finishes this video, sets up Claw, does all of the files. In one year, what's the gap between two versions of that person? One that said, "Clawed up", and one that didn't? They are going to have...
1:54 Speaker 02 Welcome to Silicon Valley girl, Ally. Thank you for having me in glorious San Diego.
2:00 Marina Mogilko? Let's pretend it's real.
2:03 Marina Mogilko? We are in the Bay Area though.
2:04 Speaker 02 The window is stunning.
2:07 Marina Mogilko? So today, we're going to 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 going to talk about?
2:19 Speaker 02 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. And then also, maybe, I think I just want to 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. We're setting big goals, but that's at least what I do with my clients, so.
2:57 Marina Mogilko? What about you? Can you talk to me about Ali? For example, from two years ago, how much more productive are you now with AI?
3:05 Speaker 02 So the last 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.
3:50 Marina Mogilko? Wow, so you're saying you actually have an AI agent who is your assistant, who's doing things for you. Can you describe what it actually is?
3:58 Speaker 02 I have 36 proactive workflows with 28 like master agents and each of them spin up probably two on average. So call it 50-ish sub-agents.
4:12 Speaker 02 And those are so. So that's. Yeah. That's almost a thousand agents, right? Almost two thousand agents. It's, oh, not per workflow, just as a total. So it's somewhere around like a hundred 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.
4:56 Speaker 02 You can schedule things inside of Claude Co-Work, 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 thirty-six proactive workflows, those are the things that my hands are up and they're constantly coming in as a new stream. Is that an email that you're getting every day, or how does it look like? 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,
5:40 Speaker 02 some replies 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.
6:22 Speaker 02 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 an AI agent to make assets for that meeting.
6:46 Marina Mogilko? And it connects to your calendar, right? So it knows everything. When you're saying something like, okay, every morning I get this email, can anyone build this or does it require technical knowledge?
6:56 Speaker 02 None of what I will be describing in the next however long we decide to chat for will require technical coding skills. The one thing that I do want to 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 find myself really stressed before a client calls.
7:40 Speaker 02 I wish that I knew every day whether I need to bring an umbrella because I keep getting rained on and New York has horrible weather. I feel like I'm constantly trying to find meeting blocks and I'm struggling to find deep work time. Help me. 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 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. It is so simple.
8:24 Speaker 02 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 going to do for you. I'm going to set up a Google Drive folder for you. Then you're going to put it in here. Then I'm going to pick between these photos and classify them. Then I'm going to email your team. And I'm like, God.
8:42 Marina Mogilko? This actually sounds insane.
8:43 Speaker 02 You, you wonderful.
8:46 Speaker 02 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 want to 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 the AI and iterating on that delivery method, that's the fun part.
9:12 Marina Mogilko? I think also another tip that I heard, I think from you, ask Claude to ask you questions. Like if you can't figure out, can you walk me through that? Do you just ask it? Because I feel like you're talking about even this email that you're getting, it's already very sophisticated because it gives you suggestions. It's a certain amount in certain period of time and then it accesses specific information that you want. How do you know what it should be doing?
9:36 Speaker 02 So there's two parts of 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. So you can say, hey, go ahead and ask user, 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
10:20 Speaker 02 gets to a decent level of understanding. And then it'll go through planning mode and help you think through that.
10:26 Marina Mogilko? And it's actually very simple. It just gives you a button. You press it and that's it, right? If you're using Claude chat.
10:32 Speaker 02 Oh, yeah.
10:32 Marina Mogilko? It's basically.
10:33 Speaker 02 Claude chat, Claude cowork, those are great.
10:35 Marina Mogilko? Let's, let's describe the difference.
10:39 Speaker 02 Um, so there's three versions of Claude, 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 Co-Work,
11:20 Speaker 02 which is a business professional agentic AI tool or platform that allows you to kind of 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 going to have a lot more control, a lot more capabilities, a lot more customizability. You can build 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. So if you wanted to, let's say, take a lot of, you know, photos of your kid and make it into a collage,
12:01 Speaker 02 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, but those skills that I was describing can be used in any of the first three. Let's actually build something. So I'm going to say, and I'm going to use the built-in functionality of voice. Okay, so I'm going to say, do we want to do that like morning brief? Let's do the morning brief. Okay, cool. Okay, I feel really stressed every single morning and I want you to make me a morning brief. I don't want to yet give you access to my calendar and my email because I don't trust you yet.
12:46 Speaker 02 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. 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.
13:28 Speaker 02 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? Wow. That was quite a prompt. Yeah, and I don't even think about this as like prompts anymore, right? I'm gonna hit enter on this, 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.
14:10 Speaker 02 So it came back, it says, what time do you want the morning brief delivered each day? Let's do 6 a.m.
14:16 Speaker 00 This episode is brought to you by Indeed. You're ready to level up your business, but the pressure to find the right person to make that happen is intense. Indeed sponsored jobs can help carry the load. It boosts your job post to help it reach quality talent fast. Cut through the chaos with Indeed sponsored jobs. Get a $75 sponsored job credit at indeed.com/podcast. Terms and conditions apply. Hiring now, then this is a job for Indeed sponsored jobs.
14:46 Speaker 04 Low energy, unfocused, foggy? You might be dehydrated. Gatorade Zero powders have been scientifically designed to help improve hydration balance in the body. With a clinically proven electrolyte blend and no artificial colors or flavors. Great tasting hydration, no matter where you're going. Shop now online or at retailers nationwide. Gatorade hydrates better than water. Is it in you? Symptoms noted are signs of mild to moderate dehydration. Consult a healthcare professional if symptoms persist.
15:15 Speaker 02 Yeah, and let's ask it to show us a sample for today. Yeah. So we can see the result. Yeah, of course. How do you want the brief delivered? And it says, mark down 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 a.m. 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 it knows how to create a skill. Let's define skill, by the way, because we mentioned it several times. Skill is basically like a long prompt, right? Um, yeah, with some extra little jiggies.
16:00 Speaker 02 So imagine you're a mechanic and you have a toolbox. 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. 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.
16:44 Marina Mogilko? So basically, if I'm a social media person, that would be like how I write a LinkedIn post, how I write a script for my reel, how I select a guest for a podcast.
16:52 Speaker 02 Yeah, and also you should have one for your brand guidelines. You should have one for this anti-AI language. 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 your social media posts.
17:09 Marina Mogilko? So basically, instead of giving it a long prompt, here is my Instagram, this is how I do it. I want to get a hundred K, whatever.
17:15 Speaker 02 Yeah.
17:16 Marina Mogilko? You just say.
17:16 Speaker 02 It's like a two hundred line document.
17:18 Marina Mogilko? Exactly.
17:18 Speaker 02 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 twelve months or seven years or whatever it is. But basically it's a folder with one file that describes what the heck you wanted to do, which might include things like access this tool, like go to Gmail, go to Google Calendar, whatever. And some resources, some examples, but like.
17:47 Speaker 02 It is a folder and anyone can make a folder. And if you don't want to make it from scratch, like the thing that I was gonna say that 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 want to build a new skill, like write in my brand voice for my newsletter. Or if you want to do a skill like, take all of this survey data that I got from my last, you know, Zoom poll, whatever.
18:29 Speaker 02 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 to do a skill? Or you can describe your entire day and say, come up with three skills that I would need to build.
18:53 Marina Mogilko? I really like what you just said. Whenever you have doubt, just ask Claude. It knows whether it should be a skill. And what I like about skills is that you can migrate them. Like tomorrow, you decide to use perplexing computer.
19:03 Speaker 02 Very flexible.
19:04 Marina Mogilko? You just upload the skill to perplexing computer and it uses it. Same with chat GPT, same with whatever.
19:09 Speaker 02 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, and we're like, no, you definitely can. 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. 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 doc X, that's one, and how to schedule things. So even just to do what I needed it to do, it read three skills.
19:45 Marina Mogilko? Yeah, it already knows how to do that.
19:47 Speaker 02 The idea of like agents teaching other agents new skills and being able to have these modular skills that I can throw over, 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 because both of us needed it.
20:06 Marina Mogilko? Yeah.
20:07 Speaker 02 So there's gonna be a lot of agent to agent sharing. This is just like one, it's AI system.
20:12 Marina Mogilko? Yeah. So you have this four models framework, microtasker, companion, delegate, teammate.
20:17 Speaker 02 Yeah.
20:17 Marina Mogilko? What we're building right now, who is this?
20:19 Speaker 02 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. 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 fifty miles an hour. Or read through all of our, you know, JIRA tickets to be able to figure out what the process, what the progress of this new commercial real estate build is doing. Like, look at our actual process. Teammate is when it is uplifting a system and not just an individual.
20:57 Marina Mogilko? Mm-hmm.
20:57 Speaker 02 You could think of it so 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?
21:19 Marina Mogilko? Yeah.
21:19 Speaker 02 The ability to read the entire internet? Like, if I hear AI is a smart intern one more time.
21:27 Marina Mogilko? Yeah.
21:28 Speaker 02 I'm gonna, I'm gonna throw this table on.
21:30 Marina Mogilko? So teammate is active, but someone who's proactive and inside your hole.
21:34 Speaker 02 And, and helping a team.
21:36 Marina Mogilko? Yeah.
21:36 Speaker 02 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 three X gain, five X gain. They are probably not sharing that insight with their teammates because they are hoarding it for themselves because they benefit greatly from keeping it to themselves. So enterprises are really having a problem of sharing AI knowledge with one another, transferring that productivity into other departments that may be behind. And so having AI be a supportive mechanism, I bet you that the majority of small, medium business owners that are listening to this are 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?
22:21 Speaker 02 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 want to look at this doc?
22:34 Speaker 02 See, now this is annoying because now I want to do all these events. Okay. So we get our first ever doc X. It's giving us today's date and it is going to run us through. Ooh, see it already had your name. Okay. 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 definitely 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 Gamechanger, instead write it as
23:19 Speaker 02 a message that I can just send to my boss.
23:21 Marina Mogilko? Or a LinkedIn post.
23:22 Speaker 02 Exactly.
23:23 Marina Mogilko? Commenting on this.
23:24 Speaker 02 And by the way, when you do this morning brief, use my LinkedIn voice skill and you can embed these skills. So always having this be modular, like for sure, every single person should have a tone of voice skill, a brand guideline skill. Those are two really easy ones to start with. San Francisco weather, I can't believe it is that hat. And then some fun events. And again, if I'm thinking about how can I get the most help out of this, seeing this event list is helpful, but like, give me a link, tell me how much these things are.
23:54 Marina Mogilko? Talk to me about, let's say, top three files that everyone should start with. Like you said, describing family, what do you think are the files that are the most game changing to your process?
24:04 Speaker 02 So assuming, like, assuming you run your own business or something?
24:07 Marina Mogilko? Someone who are in social media, yeah, something of their own. It's maybe a small business, social media, or even like running a household with two kids is already a business.
24:18 Speaker 02 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.
25:03 Speaker 02 There were people that just like hand each other a personal constitution and say, learn about me, 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 want to build, habits you want to kick. You know, specific inputs or outputs you want to manage. Like I want to be able to run twice a week or I want to have family dinners at least once a week, or I want to travel 30% less. 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. I wouldn't get into details of like what vendor did you work with in June?
25:48 Speaker 02 But an overall thing of what is your business to? 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, Ally said three documents that
26:31 Speaker 02 I had to make, ask me questions for the next hour. 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 Co work and 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 want to 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, at least I know that. Right. And I'm going to scrap this plan and we're going to go like.
27:12 Speaker 02 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. Yeah. So that document needs to have both sides. And you're going to spend like an hour, right? Building those three documents. Oh, yeah. And maximum. 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? There was this like accountability hour 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.
27:57 Speaker 02 It was 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 work day. You need to be able, you need to find those 20 minutes to carve out because those 20 minutes are going to save you. Three hours in your first week. Why not chat GPT? Cause chat GPT can do all of this, right? But what is the? Yeah. So I, like, if you had asked me two years ago, what tool I was using, 99% of the time I was using chat GPT. And now 99% of the time I'm using Claude Code. So like, I am going to 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.
28:41 Speaker 02 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, oh, it gets me. Like, I have to ask for things less. Like, I can give it just a little bit of a description. It's able to build out this whole client template that I need. But again, in a couple of 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 going to be ChatGPT, Claude and Gemini.
29:22 Speaker 02 Like, pick one of those and you have to find time to test out their agentic versions. So for OpenAI, you've got Codex and probably other stuff coming. For Claude, you've got Claude Code and CoWork and probably other stuff coming, right? All of these agentic platforms, they are going to be, uh, everywhere in the next six months. If you're trying to stay ahead of the game and you always want to be one week ahead of your competition, then sure, test out, you know, Claude Code and Claude CoWork right now. But I, I just think, yeah, vibes. Memory is really easy to import from one to the other. I think people thought it was going to be a lot harder.
30:03 Marina Mogilko? It's not, right? Remember when we were talking that the mode is having memory about someone, but you can just transfer everything really easily. I think Claude just released a feature.
30:12 Speaker 02 Yep.
30:12 Marina Mogilko? A prompt that you paste into your GPT 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, because that's, that's the core.
30:24 Speaker 02 If you are some, like, I think a lot of the agentic AI systems are more simple than
30:33 Speaker 02 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 contact docs for sure. Having those downloads of a couple key client templates or resources that you keep coming back to. 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.
31:10 Marina Mogilko? And you don't understand this investment. Some people are like, oh, it takes so much time to create all these. This is investment.
31:16 Speaker 02 Yes.
31:17 Marina Mogilko? And you do it once and then your mind is going to be blown.
31:20 Speaker 02 Yes. And again, complain to AI. You can say, oh, my God, Marina and Ally were telling me to make all of these freaking contact docs. It feels like it's going to 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.
31:41 Marina Mogilko? Yeah.
31:41 Speaker 02 And we'll at least get you started with some sort of contact doc so that I at least moved away from completely generic into fifty percent Allyzone. And then I can save a hundred percent Allyzone for later, but like, you gotta start.
31:54 Marina Mogilko? And once you start, that's the feeling I've been describing. I feel so much at ease thinking about problems I might encounter because when Claude solved the problem of picking the right uh, health insurance plan.
32:06 Speaker 02 Yeah, which probably felt great too.
32:08 Marina Mogilko? Yeah. And it took me basically five minutes versus a few hours that I would spend with a booklet comparing everything. And when it comes to your business, so you you said you're personally like 10x more productive, right, in the past?
32:20 Speaker 02 Some tasks, 2X, and some tasks, I'm like, oh, my God, where did the time go? 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,
32:36 Marina Mogilko? Yeah.
32:37 Speaker 02 It's a very weird.
32:38 Marina Mogilko? We're actually switching that in my team. Cause we used to pay by hour and I'm like, we should pay by video. Cause I don't care if you spend five minutes on this video. If you have a process set up, then.
32:47 Speaker 02 Yeah. We made that same, when did you make that shift?
32:51 Marina Mogilko? Like a week ago.
32:52 Speaker 02 Yeah, but still, but like now is the time.
32:53 Marina Mogilko? Yeah.
32:54 Speaker 02 Right?
32:54 Marina Mogilko? Yeah.
32:55 Speaker 02 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. You're building websites for restaurants in your area, whatever it is. Maybe before it took you two days of work, you're 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 one forty eighth of what you used to charge just because you can do it in one hour instead of two days?
33:35 Marina Mogilko? Mm hmm. What about your business? Where do you, have you seen the most transformation?
33:41 Speaker 02 With AI?
33:41 Marina Mogilko? Yeah.
33:42 Speaker 02 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.
34:26 Speaker 02 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,
35:11 Speaker 02 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.
35:19 Marina Mogilko? First of all, isn't Ally 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 going to 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 and which level it is?
35:44 Speaker 02 Sure.
35:44 Marina Mogilko? So for example,
35:44 Speaker 02 Do you want to translate?
35:46 Marina Mogilko? Yeah, so my whole team speaks Russian. So we do, we do. So this is, this is a project for every social media that we're running. The clips channel, Telegram, PR, Spotify, one YouTube channel, another YouTube channel, Facebook, Instagram.
35:59 Speaker 02 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 and you have that in space, 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, overall PR, overall how to use Claude. I guess that's an example. But like, I love the play between deep vertical projects and awesome horizontal projects.
36:37 Marina Mogilko? How do you connect them? Cause you can't connect to projects, right?
36:40 Speaker 02 Uh, you can't be, you can tie in skills.
36:43 Marina Mogilko? 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 create PR news.
36:58 Speaker 02 Um, you might, it might have you export some of the files inside. Actually, I I'm not a big, big user of cowork. So you'd have to ask Claude whether it can do that. My guess is no, um, but you know, functionality is always changing, always good to guess.
37:15 Marina Mogilko? What do you think is the next step for us?
37:17 Speaker 02 Uh, if we go back to your list of projects. 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. That might be pulling together your meeting transcripts. If you're really inspired by a product that I release or someone else releases, grab the link, throw it in as a resource, or grab the description, throw it in as a resource. So I am like.
37:45 Marina Mogilko? It's like a brainstorming hub, not not based to a project, but based on the whole company.
37:50 Speaker 02 And so if ever I'm like, okay, now we're gonna brainstorm the next product development push. Uh, the fact that I can then go back to that project and it has patterns over time. I can also give it the types of decisions that we were able to make. I can also give it access to a uh, you know, team document or a team skill. So that it sees what my resourcing is today.
38:14 Marina Mogilko? Yeah.
38:14 Speaker 02 Maybe a year ago, I had zero engineers and today I have three machine learning engineers on my team.
38:20 Marina Mogilko? So basically your chief of staff.
38:21 Speaker 02 Yeah, and so that was actually gonna be, you're brilliant, brilliant. There are people building out, at the very least, skills, not necessarily projects, but skills that are individual roles. And having those skills kind of interact with each other.
38:37 Marina Mogilko? Yeah, and so Claude has some of them, right? It has marketing. For me, like when I applied marketing skill to one of the courses that we're launching, it was so nineties. It's sort of like, if they complain about the price, you tell them that how much time would they have spent? If they're, I'm like, no, no, no, no, don't do that anymore. That's from two thousand.
38:54 Speaker 02 Inside of cowork, and this is again, for for beginner AI users, if you're like, I don't really understand the value that I can get out of this. Go into Claude cowork, I'm just, I'm talking you through what I'm hearing here. On the left-hand side, click Customize. Then you're going to hit Browse Plugins. And then it's going to give you pre-built ones. And so I can just rattle off like Brand Voice. What did we just say? Customer Support, Data, the ability to just like quickly write SQL queries or pull from three different tables that you have to join. Finance, Engineering, Legal, like every single small, medium business owner
39:36 Speaker 02 just got free, right, loosely free, access to extra team members. Absolutely. Like our legal contracts, we're first running them through some of these plugins to first validate. And then I'll go to my lawyer, who costs a lot of money, whom I love and who's an expert. And I might say, hey, I went ahead, I ran this through. I also reviewed it with my own brain. Here's some things, what do you think? And now his time spent on his 15 minutes instead of two hours. But it is insanely helpful.
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41:07 Marina Mogilko? Uh, yeah, a quick question here, especially when it comes to legal stuff, right? 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 because they couldn't select the right choice that ChatGPT presented them with. And then there were sophisticated entrepreneurs who ten X their businesses because they started using AI. How do you decide when you trust AI and when you don't?
41:35 Speaker 02 So first, I have read, can I close this in?
41:39 Marina Mogilko? Yeah.
41:40 Speaker 02 Um, the, the, the answer is you don't, right? In your really specific field of expertise, you're a lot more easily going to 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 fields of science. And like, none of this would ever work, but it sounds really convincing.
42:18 Marina Mogilko? Oh, there was this, this, this, I'm gonna, it's just horrible. So somebody fired someone to not pay them $200 million based on ChatGPT's advice and those people sued them back. So now he owes more, have you seen that?
42:29 Speaker 02 It was a startup founder with a contract.
42:31 Marina Mogilko? This is crazy.
42:32 Speaker 02 I did see that. So, so certainly within your field of expertise, you're gonna have just so much better detector. Running it by multiple AIs is going to help validate it at a wider scale. Grounding the data, so not just like asking the literal large language model, but giving it access to the internet. Giving it access to previous contracts that you've worked with and ones that you've accepted and ones that you've rejected and why. Those are all going to really help on grounding. But the story that you just told me about some super users and some, um, let's say, people that ran their business to the ground. The difference between those two groups was not expertise, right? Both of those groups came to these tools going, I don't know, what can I do with this?
43:14 Speaker 02 One group decided to take the lazier route and over rely on these systems and say, see, I can offload everything. And the other group thought from a growth mindset, how can I use it to challenge me? How can I use it to grow? How can I use it as a supportive mechanism and an augmenter layer and an accelerant to my business? The difference that I see in enterprises, even down to like the departments, right? A super user and someone who's falling years behind is mindset. The ability to see AI as not a tool, but to see it as a teammate, as an operating system. Like that is the shift. And so that group that was aided by AI or was able to grow their business. It's because they didn't over rely on it because they maintained their critical thinking.
43:59 Marina Mogilko? The authority.
44:00 Speaker 02 Exactly.
44:00 Marina Mogilko? Yeah.
44:00 Speaker 02 And not even, not necessarily like control, but again, agency. Like I, last year, my word of the year was agency. And so just every single agent interaction that I had last year, I was just like, where am I infusing my own agency? While also taking things off my plate.
44:18 Marina Mogilko? And this is the most important skill, I think all of us should be learning this and what I'm teaching my kids. Like create something by yourself. Yes, you can ask chat GPT to help you, but create something.
44:28 Speaker 02 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. And for those of us who don't have, like you gotta drink a glass of wine to kind of loosen up 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.
44:57 Marina Mogilko? That's what kids, kids tell me, I'm like, this is possible. Go ask chat GPT, go, go ask Gemini.
45:02 Speaker 02 And not necessarily 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 color personality and create an entire product line. Using lemon zest. Yellow, that probably already exists, but like you can just create things. 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 this car for the next fifteen minutes? 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.
45:47 Speaker 02 Right? Like you know whether you like an ad or not. Yeah. But did you need to know graphic design to be able to pull that off? So just knowing what good looks like, like that is one of the top skills to hone. Absolutely. How can you work on this skill? Any tips? Knowing what is right. Yeah. If you are early in your career, like become best friends with an older millennial or Gen X or someone who's like seen stuff for decades and just be like, I'll be the crazy AI person, you be the expert and let's like team up and share a brain. That is some of the best teamwork that I've seen.
46:29 Speaker 02 I think also just making sure that you don't lose that expertise. That might be going to conferences in your field, reading research papers in your field and not just having AI summarize them. Pulling new research, like staying up to date on whatever that zone is, but also questioning yourself. Like I think we might have had assumptions on what we think is good, but in the AI age, maybe defining things as good, especially if they're on processes, like should actually be rethought. Okay. I have a couple of last questions. So you're working with these amazing companies and you're seeing what's being built and you're using it. What is going to happen in 12 months that you think? And no one is expecting it right now. What do you think is the trend?
47:14 Speaker 02 It's like, some people are seeing this, right? There's always going to be some people who are seeing around the corner. I think one of the bigger shifts that is going to happen this year, and by the way, I'm going to do a small plug. Uh, every single year for the last eight years, I've released my yearly AI predictions. So if you want to see my actual AI predictions, I have like twenty five that are all for this year. Did they all come true? I've been tracking them year over year and not to brag, but like I think, I think I'm one of the stronger forecasters. Wow. Um. Okay, I'm excited to hear what's. Things are happening faster um in a lot of zones than I'm predicting.
47:49 Speaker 02 So the bigger release, again, we're seeing like agents, we get it, we're seeing multi-agents, we get it, we're going to see net new interfaces, we're going to see new data centers, we're 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 of paragraphs. Or when it's creating a memory file on you, again, it's just adding it into. Context.
48:34 Speaker 02 Either a rag system or yeah, just in time context that it's growing. The 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? Hmm. No, it's going to be looking at some sort of environmental trigger or context.
49:17 Speaker 02 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 going to 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, she seems to right now be favoring high risk, higher payoff decisions. So that grabbing of little
49:56 Marina Mogilko? Like content.
49:57 Speaker 02 Details from the context. Which humans do extremely well, humans that are aware and paying attention, 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 upvote it or that's environmental feedback. That's context, that is a trigger so that it can better improve a recommendation engine.
50:28 Marina Mogilko? So basically the advice we're going to be getting from AI in a year, they're going to be comparable to a great strategist, right?
50:35 Speaker 02 It's it's certainly going to be a lot more customized. 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 going to become a market of one. Your AI system will be purpose built for the things that you needed 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,
51:17 Speaker 02 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 Ali version of that website. Maybe it knows that I love, you know, dark green, so it's going to show me the dark green shoe.
51:34 Marina Mogilko? And show you women's stuff, not men's stuff.
51:36 Speaker 02 Yeah, well, I buy a lot of men's clothes, but yeah.
51:39 Marina Mogilko? Well, or it knows bad about you.
51:41 Speaker 02 Exactly.
51:41 Marina Mogilko? Men's clothes that are going to fit you.
51:42 Speaker 02 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 going to have probably early signs of that this year. I already see it happening. I have people emailing me going, hey, Ali'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, like, is that not weird? That they're writing emails to my agents. I see it in my Instagram DMs as well. Hey, AI, Ali, did, did, do. And people are already starting this proxy to proxy communication.
52:25 Speaker 02 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. 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.
52:49 Marina Mogilko? Yeah.
52:49 Speaker 02 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?
53:01 Marina Mogilko? Yeah. What, what's gonna happen to teams then? What I'm thinking, 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?
53:19 Speaker 02 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. So you can imagine either taking new tasks on that make you more visible to more people.
54:03 Speaker 02 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 many chat inside 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 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.
54:36 Marina Mogilko? And I'm I see this happening in my team, the way we, I don't know, with five X the amount of output on social media because of that. Yeah, because uh in the last, I would say like three to four months, but the past month has been especially actually because now a person who used to do guest outreach is also doing my PR, is also doing my G E O like general generative and engine optimization because he'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 ten X our output. The last question. 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?
55:20 Speaker 02 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 going to 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 because you're going to go, I've actually been playing
56:02 Speaker 02 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 for 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, it's the next day, right? But they're able to get more of those practice cycles in. Yeah. And that is not a complete erase of all of their fear, but it'll lessen it by thirty
56:43 Speaker 02 to seventy percent. And so much of it just comes from exposure to some of these more advanced tools. Not just fear of AI, fear of tasks in my case. Oh, yeah. Like, what if this happens? What if that? I'm like, AI is gonna handle it. 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, Ali would have been like, why am I having to solve this? And now I'm like, I get to solve this. Let's go. Yeah. 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 going to end, to see what that like
57:24 Speaker 02 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 and ask that question and give yourself 10 minutes just to see what you can do on that problem. What happens to the income of that person? It's a it's a great like I would love to be a high person be like it obviously goes up. They're all gonna make 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.
58:08 Speaker 02 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, you know, net income at the end of the year.
58:38 Marina Mogilko? Yeah, and it's a long term play. That's that's something I keep thinking about when you're too too much into like automizing, optimizing like.
58:45 Speaker 02 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.
59:05 Marina Mogilko? Yeah.
59:05 Speaker 02 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.
59:20 Marina Mogilko? Thank you, Ali. 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, you your mind is gonna be blown. Thank you so much for being so practical. And let us know in the comments, uh, what you're gonna handle first with, uh, with Claude.
59:43 Speaker 02 Thank you.
59:43 Marina Mogilko? 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 Katan Furu, who teaches AI at Stanford. His episode was so practical. He was actually the reason I came back home from Davos and started. Doing this whole clot thing and it completely changed the way we work. So tune into this episode right
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1:01:06 Marina Mogilko? After this one.
Previous Ex-Google Exec: How to Position Yourself Now Before the Next AI Phase (2026–2027) | Mo Gawdat Next Nobel Prize Winner: What Quantum Computing Does to AI, Bitcoin, and Your Data | John Martinis Page updated October 31, 2026 · transcript and summary are machine-generated