The AI Second Brain: Complete System Walkthrough (Live with Tiago Forte)

0:00 Okay.

0:02 So, as I said, I want you to have a roadmap,

0:05 a high-level roadmap of what the AI second brain system,

0:09 the system that we talk about looks like.

0:12 And how if if assuming you want to learn alongside us,

0:15 what that might look like, how it works.

0:19 All right?

0:22 Um I don't have that many slides.

0:24 I think I have like 25 or 26.

0:27 Uh there's going to be plenty of time for us to interact.

0:30 That's kind of one of the main benefits of this format.

0:33 Um in the cohort itself, we do breakout rooms,

0:36 we do coaching, we do a lot of different things.

0:39 In today's call, just because it's so large,

0:41 it will be mostly questions that we will interact with via the chat.

0:45 So, I'll have two separate times for you to to ask questions in the chat.

0:49 You can put questions anytime and we'll do our best to answer them,

0:52 but I will specifically turn to questions

0:54 in the middle after about um 45 minutes or so,

0:58 and then at the end for the last 15 to 20 or 30 minutes.

1:04 Okay?

1:04 So, save your hardest questions for me.

1:08 But first, let's get on the same page.

1:12 [clears throat] So, a few kind of observations and perspectives here

1:19 uh to kind of set the stage, set the context.

1:24 I really believe that there's a new bottleneck in modern productivity.

1:29 There's a new constraint.

1:33 It's no longer your time.

1:35 So, just just think about [laughter] first line.

1:38 Think about this for a sec.

1:39 Think about your career.

1:42 Think about your life, your life experiences, and just imagine for a sec,

1:47 even not even to do with AI, just set AI aside.

1:50 Can you even imagine what it means to have your time,

1:55 the time you have available not be a bottleneck?

2:00 Just just like try to imagine.

2:02 Imagine if you had infinite time.

2:06 If time was not a factor, time was not a limitation.

2:09 It's almost as if you could pause time for as long as you needed and spend

2:14 as much time as was needed on whatever

2:16 you wanted to create or learn or experience.

2:20 Every anywhere you wanted to travel, anyone you wanted to meet.

2:24 It's like a really an imagination challenge here.

2:29 Imagine what it would be like to have your attention not be a bottleneck.

2:34 You know, your attention, your ability to focus, your attention span,

2:39 your ability to to pay attention to things

2:42 that are hard or complicated or boring.

2:46 What would you do with that mind of yours,

2:48 with that creativity, if attention was not a bottleneck?

2:55 And then intelligence.

2:56 What if your intelligence even was not a bottleneck on what you could create,

3:00 achieve, experience, the impact you could have?

3:04 Not your your natural talents that you were born with, your IQ,

3:09 your EQ even, all those natural traits.

3:13 What if those were just not a limitation anymore?

3:20 And imagine or just consider that the bottleneck has moved.

3:24 The bottleneck has moved to collecting, curating, and providing context,

3:31 which is really just information,

3:33 to increasingly powerful generations of artificial intelligence tools.

3:39 Which is a skill.

3:41 It's not it's not obvious how to do this.

3:43 It's a skill.

3:44 It's a it's a discipline that we're calling PCM, personal context management.

3:50 A brand new skill in the world that if you can master,

3:54 you can get around this bottleneck.

3:59 So, thinking about you as the human in all this.

4:03 Don't want to forget about that part.

4:06 Consider that your AI, all your different AI tools can only use,

4:12 they can only make use of what you give it.

4:16 What you give it.

4:18 Your personal curated context, your notes,

4:21 your knowledge, your expertise, your experience, your memories,

4:25 your points of view, your perspectives, your relationships,

4:28 your network, all the stuff that makes you you.

4:31 Is now not just this, you know, a little weird productivity habit you have.

4:36 It's it's a treasure trove.

4:38 It's just an incredibly valuable treasure trove of data that no one else has,

4:44 no one else can access, no one else can compile, no one else can generate.

4:50 That context, I believe, is the only way that you escape you escape,

4:55 you know, the disruptive changes that are coming,

4:59 that you escape uh competition,

5:02 that you create a a real competitive advantage that doesn't,

5:05 you know, get eliminated with the next AI release.

5:10 Uh I call it the mediocrity trap.

5:13 Everything with AI, you you may have noticed,

5:14 kind of pulls you towards the average.

5:18 The way that AI thinks, the way that it writes,

5:20 the way that it uh it works through problems.

5:23 It's constantly sort of homogenizing your thinking.

5:26 And that's because it's trained on the entire internet,

5:29 everyone else's ideas and opinions and everything they've ever said.

5:33 You can't stand out.

5:34 You can't really have a competitive advantage if you

5:37 allow yourself to be pulled into that that average,

5:40 that, you know, that that that average level of quality, that mediocrity.

5:51 I published a video a few months ago.

5:54 Um maybe someone on the team could drop that in the chat.

5:56 Which was exploring uh some research that has

6:01 been done on something called context rot.

6:04 Okay?

6:05 So, imagine Actually, before I go there,

6:10 there's something called a context window.

6:13 Okay, we're going to start we're going

6:13 to start here at the very, very beginning.

6:17 [laughter] I'm not going to assume that you know

6:18 you know anything about how these AI platforms,

6:21 which are known as LLMs, large language models, work.

6:24 So, your context window, the AI's context window,

6:27 is how much information it can work with.

6:30 You can think of it almost like it's working memory or it's RAM.

6:35 Right?

6:35 So, you can give uh an LLM, you know, 10,000 words or tokens,

6:41 50,000, 100,000, but at a certain point, it it quits.

6:46 At a certain point, there's an error.

6:47 I'm sure you've come across this.

6:49 You have exceeded the context window.

6:52 So, without getting too technical here,

6:56 what you really need to understand is context windows have limits.

7:00 They are not infinite.

7:01 Not even close.

7:03 Even with the latest AI models that say, "Oh,

7:06 a million token context window, 2 million context window." Those are lies.

7:12 [laughter]

7:12 As this paper uh really proves and explains, the effective context window,

7:18 how much you can actually give to these AI platforms,

7:21 is really only maybe 25 to 50% of what they claim.

7:26 That comes out to something around 30 to 50,000 words.

7:31 Okay?

7:32 So, even if they say a million words, 2 million, 5 million words,

7:36 if you exceed around 30 to 50,000 words or in AI speak tokens,

7:42 you start having these negative impacts, which is what this paper documents.

7:45 You start having context poisoning.

7:48 Context poisoning is when one little error,

7:51 one little mistake, it poisons the whole interaction with AI.

7:56 It's like it gets fixated, obsessed with this one error, and it can't let it go.

8:00 I'm sure you've experienced this.

8:04 Or this context distraction.

8:06 If there's too much in the context that you give

8:08 the AI that is not relevant to the task at hand,

8:11 it gets distracted, just like humans.

8:14 Right?

8:14 It it gets it gets kind of all over the place.

8:17 It gets fragmented.

8:18 It's it's paying attention to the wrong things.

8:20 It's it's getting distracted, just very much like humans do.

8:25 And then there's context confusion.

8:27 These are all kind of failure modes that the research has documented.

8:30 Context confusion is when there's things that conflict.

8:34 What is the AI supposed to do if you have two pieces

8:37 of information that are either inconsistent

8:40 or they're directly contradictory or they're incompatible,

8:44 which I guarantee you will happen the more context that you try to give it.

8:49 So, setting aside all this this is

8:51 the most technical we're going to get right here.

8:55 [laughter] So, setting aside all this new terminology and these numbers,

8:58 that little warning sign down there at the bottom right

9:01 is what I want you to take away from this.

9:03 You cannot just dump everything in.

9:06 I wish you could.

9:08 I wish you could just say, "Here, here's my hard drives,

9:10 my computer, my cloud drives, here's all my logins.

9:13 Just access it all, make sense of it all, organize it all." You really cannot.

9:17 You have to selectively curate the right I think of them as bundles of context.

9:24 The minimum amount of context that you need to accomplish the task at hand.

9:30 And that might seem like just a random, you know,

9:32 it's kind of technical detail, but it's huge, you guys.

9:36 It's so important because it means that all the stuff

9:40 that we that we had to do and that we learned pre-AI,

9:44 how to organize, how to curate, how to select,

9:47 how to take notes, how to structure, all those things are still important.

9:51 They're even more important because you have

9:54 to do them to take advantage of AI's power.

10:00 So, zooming out for a second, what is this AI second brain?

10:05 It's the same as it always was.

10:08 [laughter] Going back with my work over 10 years now,

10:11 and really if you look at the history of what we call PKM,

10:14 that's personal knowledge management, goes back decades.

10:17 Uh decades to the early years of the 20th century.

10:22 It's a system designed to amplify you.

10:26 It's a system that lives outside your head,

10:28 outside your body, that is designed to amplify you.

10:33 To unlock your creative potential.

10:36 And ultimately, at the grandest scale,

10:40 to unlock your ability to lead a thriving generative life.

10:45 So, we're using generative AI to lead a generative life.

10:50 [laughter] And this graphic on the right is kind

10:55 of the the 50,000-ft view of how we're going to do this.

10:58 It's been amazing to me.

10:59 It's been so surprising that all

11:03 the the the techniques and the skills that came pre-AI,

11:07 not only are still relevant, like I said, they're more important than ever.

11:11 So, at the bottom there, we have code.

11:13 That is the core method that I talked about in my book Building a Second Brain.

11:19 Okay, so that really is centering your creative process,

11:23 your productive process.

11:24 And getting information in, which is the C, capture,

11:28 organizing it, that's the O, distilling it, and then expressing it.

11:33 That has to be the foundation.

11:35 Ultimately, you're trying to put something out there.

11:38 To publish something, communicate something, launch something, sell something.

11:43 There's an expression at the end.

11:47 To do that, we build this new layer on top, which is PARA,

11:52 which is a way to organize your entire digital

11:54 life that was explained in my book The PARA Method.

11:58 Because you need certain kinds of information

12:00 to express whatever you're trying to express.

12:02 You have projects, that's the P.

12:04 You have areas of responsibility both at work

12:07 and in your personal life, that's the A.

12:09 You have a wide variety of resources, that's the R.

12:12 And you have archives, that's the second A.

12:16 Okay.

12:17 So, those two methodologies, CODE and PARA,

12:20 at this point are very very very well distributed.

12:25 Um in fact, we'll send you some links.

12:27 Like there's the books themselves, but if you don't want to read a book,

12:30 there's YouTube videos, there's the podcast, there's many blog posts.

12:33 You can have at it.

12:35 In whatever format you like to learn,

12:37 there is a way for you to learn those two methodologies.

12:41 But we're adding a new one.

12:43 Right?

12:44 We're adding this new layer that is building on.

12:47 It is extending those pre-AI capabilities,

12:50 but with this new generation of technology that we call AI.

12:56 All right?

12:58 So, let's zoom in a bit.

13:00 Let's get into it.

13:01 How how does this AI-powered second brain work?

13:06 So, I always like to think of like a system,

13:09 like a like almost like a mechanical system.

13:11 Like if this was a a manufacturing line,

13:13 or if it was a, you know, a water treatment plant.

13:17 Like how does the like the actual bits

13:20 of information flow from one place to another,

13:23 and how does that add value to my life?

13:27 So, the four main parts that we're going

13:28 to talk about in the program that we're teaching,

13:31 and this is also going to find its way

13:32 into everything else that we do, is in four parts.

13:37 So, the first one, as ever, as always, is capture.

13:42 You need a way to capture information.

13:45 Right?

13:46 That's that's how you that that that's where it all starts.

13:50 Capture notes, capture ideas, capture insights, highlights from your reading.

13:55 Now, there's new ways to do that with AI.

13:57 You can have an AI note-taker now, you can do voice transcription.

14:00 There's a lot of really powerful AI capture tools,

14:03 but you still need to think about it.

14:05 There's still some decisions to be made.

14:07 How do I want to capture information?

14:10 What is the way of capturing that fits me?

14:15 Once you've captured it, as before,

14:18 this part also hasn't changed, is you want to organize it.

14:21 And that's where PARA comes in.

14:24 Okay?

14:24 And the key thing with PARA that I'll point out here,

14:26 there's there's a lot to say here,

14:28 but you need an organizational system that makes sense for both humans and AI.

14:35 This is the key point, you guys.

14:37 You can have AI create a completely custom,

14:39 bespoke organizational system that perfectly fits how it thinks,

14:44 but if it doesn't fit how you think,

14:46 then you've just created a system that you can't actually make use of.

14:51 Right?

14:51 So, so PARA not only is, you know, really well proven and well validated,

14:56 it's simple enough and it's straightforward enough that AIs

15:00 can understand it perfectly, and so can humans.

15:04 That's the key the key criteria.

15:08 Now, this is where it changes.

15:10 Okay?

15:10 Instead of going to distillation,

15:12 which is a which was quite a manual, you know, labor-intensive process,

15:18 the information in PARA that you've organized now

15:21 flows into what we call a master prompt.

15:25 Okay, I'm going to say a lot more about that in just a minute.

15:28 But it's basically that curated context that you

15:31 provide to AI that I was mentioning before.

15:36 Then the that master prompt, or those master prompts plural,

15:42 flow into and inform what I think of as a set of AI advisors,

15:46 like an AI board of advisors.

15:49 Imagine if you had a coach and a business consultant and a strategic analyst,

15:54 and then also a relationship coach and a health coach,

15:59 and, you know, all the all the people that if you had unlimited money,

16:02 you would hire to help you, you can now have with AI.

16:06 But it requires some design.

16:08 Requires a little bit of of uh of, you know, of designing.

16:15 All right?

16:17 So, I want to say a little bit of more about the master prompt,

16:19 because this is really this is really kind of the core thing.

16:25 What is a master prompt?

16:28 You can think of a master prompt

16:30 as your personal operating manual for AI, for all AI.

16:35 All the different You probably have half a dozen

16:38 or a dozen different AI tools you work with.

16:40 So, this is a completely cross-platform,

16:43 platform-agnostic way of working with AI.

16:46 It's not limited to any one platform.

16:50 Okay?

16:51 So, imagine just a and I'll show you mine in a second,

16:53 but uh imagine just a document.

16:56 Like any document, a TXT document, a markdown document,

17:01 a Word document if you want, a Google Doc.

17:03 Just a single long document that has some

17:07 of these little bubbles that you see around the outside.

17:12 So, as I read each of these, imagine your interactions,

17:15 whether it's with Claude or Gemini or ChatGPT

17:20 or Notebook LM or Perplexity or whatever it is.

17:23 Imagine if that AI knew, say, your basic personal details.

17:29 Okay, I think this You guys, this is this is this is so fundamental.

17:34 I feel like this needs to be taught in schools.

17:36 I I every single person in the world should do this.

17:39 In fact, this is why we we we published

17:42 a video on the master prompt uh in the summer.

17:45 It was one of our most popular videos of the last year.

17:47 In fact, that became a whole series.

17:49 Someone in the in the uh from the team,

17:51 if you could share that in the chat, that would be great.

17:53 I decided to just give that content away freely to the world,

17:56 because I think it's just it's like basic fluency for modern life at this point.

18:01 But imagine if it knew your basic personal details.

18:03 Who you are?

18:04 What's your name?

18:05 How old are you?

18:06 Where do you live?

18:08 Who's in your family?

18:10 Imagine if it had your basic professional info.

18:12 What's your job?

18:14 What's the title?

18:15 What's the role?

18:16 What team are you on?

18:16 Who do you report to?

18:17 Who do who who reports to you?

18:21 Imagine if it had go just going around clockwise around the circle,

18:24 your income sources.

18:25 Do you ever ask AI for any advice or have any questions for it related to money?

18:31 Related to your finances or related to getting a promotion

18:35 or related to how you invest or how you save?

18:37 Well, wouldn't it be useful if it knew how much money you make every year?

18:43 Or if it knew what your investments are currently?

18:46 Or if it knew your risk tolerance for your finances?

18:48 Or if it knew how much savings you have?

18:51 You have to provide this information.

18:55 And I'll just go quickly.

18:56 Like AI needs to know your core values.

18:59 I'm not talking about company.

19:00 I mean you as an individual.

19:01 What are your core values in life?

19:04 What is your vision?

19:05 What is your mission?

19:07 What are your intentions for AI usage?

19:09 How What are you trying to accomplish in your usage of AI?

19:13 What are your communication preferences?

19:14 How do you like to communicate and collaborate?

19:16 How do you not like to?

19:18 Your working style, your your tool preferences, your workflows,

19:21 your rules, your boundaries, your goals and intentions.

19:23 Goals and intentions are twice, cuz they're so important.

19:27 Your personal SWOT, your strengths, your weaknesses, your opportunities,

19:30 your threats, your skills, what quality looks like to you.

19:33 Okay?

19:33 I know this might seem like a lot.

19:37 Like when I talk to people,

19:38 even people who are very deep in AI, who have very sophisticated systems,

19:42 I 99% of the time when I ask them if they have

19:46 this this this kind of information provided to their AI tool of choice,

19:50 the answer's is I I kind of can't believe that after all this time,

19:55 we still largely don't do this.

20:00 All right.

20:02 So, let me show you.

20:22 All right.

20:23 This is my Claude.

20:26 This is the desktop app for Mac.

20:31 And what you're looking at, let's just make this very simple.

20:34 So, I'm clicking over here on the left where it says projects.

20:38 See that?

20:40 A project is simply a little self-contained,

20:43 almost think of it like a folder, that is kind of self-contained.

20:47 It's limited.

20:48 Everything that happens within that little

20:49 container is limited to that container.

20:52 Okay, so I have one for the book I'm writing, for the upcoming cohort,

20:55 for the company as a whole, for my writing, for a different program that we run.

21:00 Each little self-contained box.

21:04 So, the one I want to go into is Tiago's work master prompt.

21:07 I have a different one for my personal life cuz

21:09 I don't want them to bleed over into each other.

21:11 But if I click into that, this is the project interface.

21:16 I'll go ahead and close the sidebar.

21:19 Okay?

21:20 And the main thing I want you to notice

21:22 is this little box over here that says files.

21:25 This is that curated context that I was talking about.

21:30 They're also known as just project files.

21:32 Okay?

21:34 And there's only one file.

21:35 You can have any number of things.

21:37 You can see this one document is only using 1% of my project capacity,

21:41 so that's good to know.

21:43 I could add lots of other things.

21:45 But if you click on this, you'll see my work master prompt.

21:51 All right, so you have basic personal details about me,

21:55 where I live, company information, our AI strategy, our ideal customer profile,

22:01 our core products, um that we offer, the company mission,

22:06 the company vision, the core values of the company, the business strengths.

22:10 A lot of this is very business-oriented,

22:12 but I have something similar with my personal master prompt.

22:16 I have the weaknesses of the business.

22:18 Uh examples of our brand voice,

22:21 uh the org chart, uh some of our internal processes,

22:26 our strategic and operational process architecture, our core value chain,

22:30 how we serve customers, etc., etc., etc.

22:34 All right?

22:35 So, with that master prompt, that's what this is here as context,

22:43 I can ask it something like, "With everything that you know about me,

22:49 what is the biggest single gap in our product offerings,

22:52 and what would you propose in order to address it?" So,

22:58 the reason I could speak that, by the way, is I use an app called WhisperFlow,

23:01 which allows me to just hold down a key on my keyboard and speak.

23:04 Well, that's one of the capture tools that we'll show you how to use.

23:28 And notice, if you look along the top here,

23:30 there's three modes that you can use Claude in, chat, co-work, and code.

23:34 I'm using chat.

23:35 So, this is the this is the most basic,

23:37 the most beginner level, the most elementary um version of Claude.

23:45 If you want more power or you need more capabilities, you can use the others.

23:50 Okay, interesting.

23:51 So, it has a strong opinion.

23:53 Notice that there's no way for it to have a strong opinion or for its strong

23:56 opinion to be of any use to me

23:58 if it doesn't have a tremendous amount of context.

24:00 Think how much context you need to answer this question.

24:03 You got to be able to holistically see

24:05 the entire business plus my role in that business.

24:09 And here's the gap that it sees.

24:10 You have no scalable high-touch offering

24:12 that doesn't require Tiago's direct involvement.

24:14 And I think that I mean, that's exactly right.

24:17 It's so true.

24:19 And then it makes a proposal here.

24:22 Okay, so notice that it knows my product ladder,

24:25 how people kind of ascend through our ecosystem.

24:28 It knows that I'm involved,

24:29 highly involved in pretty much all of them, especially the high-touch ones.

24:34 Um it can it knows that this is capitalizing on our three biggest strengths.

24:39 Uh it knows that we previously tried

24:41 to move into B2B offerings and it didn't work, and it even knows why.

24:46 Right?

24:46 And then it has follow-up questions.

24:48 And they're not just general vague ones, they're really specific.

24:51 For example, "What's your wife up to?" The fact that it knows I'm married,

24:55 knows her name, knows what she's up to, knows

24:58 that she's not currently involved in the business.

25:00 This isn't a long response.

25:02 Look, this isn't one of those like mega five, you know,

25:06 a hundred or a thousand word things that I have to pour through.

25:09 It's just a very succinct and very targeted kind of observation,

25:13 the way that a coach would do, pointing out what's missing in my work currently.

25:18 And I think it's quite insightful and quite accurate.

25:24 Okay?

25:25 And the other thing I want to show you before we move on is uh let's see.

25:35 Notice that this was updated today.

25:38 See 326?

25:39 I updated it this morning.

25:41 And the way that I updated that, I'm not going to get into this now,

25:46 but every once in a while, every week or two weeks or three weeks or whenever,

25:49 I give it access to my notes and I say, "Based on all of my latest notes,

25:54 across all of my current projects, all the areas of responsibility,

25:58 all the resources, if there's any new ones or any new archives,

26:01 update my master prompt." And it did that.

26:05 In a few minutes.

26:06 I think I told it to do that.

26:07 I went and heated up my coffee, came back, and it was done.

26:13 Do you guys understand what is going on here?

26:19 [laughter] Like this is so insane.

26:20 This is so insane that I can just take notes in my casual,

26:23 free-form, kind of messy way, and then once a week or every two weeks say,

26:27 "Hey, Claude code." In this case, I used Claude code.

26:30 "Update my master prompt." And it went ahead and did that.

26:34 And and that's just like the most basic level.

26:36 That's just like kind of beginner or what we

26:38 call the foundational level of what this looks like.

26:45 All right?

26:47 I don't know about you, but my my mind is still blown by this.

26:52 [sighs and gasps] Okay, I can sense those questions.

26:55 I can feel the the the tidal wave of doubts and worries and follow-ups,

27:01 and I want to get to those.

27:03 Um I think there's a couple more things I want to share with you,

27:06 and then we'll pause.

27:10 So, how do I recommend you go about creating this thing called a master prompt?

27:17 I have a very strong opinion on this.

27:20 Okay?

27:21 And this really speaks to what I think

27:24 I've done so much reflection on the, you know,

27:27 the decade that we were teaching Building a Second Brain,

27:30 the the previous, you know, the previous ecosystem, the previous method.

27:35 Uh we taught it in so many different formats and so many different ways.

27:38 And just reflecting on all that experience,

27:40 I think there was a big mistake that I made.

27:44 There was like there was a variety of mistakes, but this was the biggest one.

27:47 Which is I sort of imagine the ideal system.

27:52 What is the ultimate way this looks?

27:54 Which for me took years and years and many iterations, many versions.

27:59 And then I said, "Let me teach this ultimate system to everyone." And that had,

28:05 you know, some benefits.

28:06 It was it was impressive.

28:07 It was inspiring.

28:08 Kind of got you excited.

28:11 But I think the problem with that approach is that the fully mature system,

28:16 as cool as it is, is not how you start.

28:19 That's that that can't be how you start.

28:21 That's the worst way to start.

28:23 That's trying to, you know, to swallow something that you're not ready for.

28:28 It's trying to build something that is, you know,

28:31 on version 15 when you really need to need to start with version one.

28:36 So, in this cohort, in this program, I'm going to try to rectify that mistake.

28:43 And the way we're going to do that is

28:45 we're going to build the same system three times.

28:50 Okay?

28:51 So, week one, we're going to spend week one at the foundational level,

28:54 just creating the basic master prompt.

28:58 The the version that I really believe is like the MVP,

29:01 the minimum viable product, minimum viable prompt.

29:05 Like what every single professional, no matter what you do, needs to have.

29:09 We're going to do that in week one.

29:10 So, if you just do week one and then you get

29:12 busy or you drop off or that's enough for you, great.

29:15 You got the the 80/20 of what I have to offer.

29:19 Okay?

29:20 And the the other thing that's important here is

29:24 even for those of you who are more advanced, and many of you are,

29:28 if you think about it,

29:28 most of your AI interactions still reside at at kind of a basic level.

29:34 Right?

29:34 You don't need to fire up the most advanced system.

29:37 You don't need to fire up Claude code for probably,

29:40 I don't know, 50, 60, 70% of your AI interactions.

29:43 So, even for advanced users, you want almost like a fallback.

29:47 You want something that is that is small, simple, and minimal,

29:51 and streamlined that you can fall back

29:53 to for those kind of simple everyday interactions,

29:55 and that's the foundational level.

29:59 Then, we're going to do it again.

30:02 We're going to sort of rebuild the system in week two at an intermediate level.

30:10 Because what you're going to find is for many tasks,

30:13 that foundational level is not enough.

30:15 And And it's it's funny.

30:16 I actually want you I want you to run into those barriers yourself.

30:20 I want you to have the experience of what it's like having

30:23 a more basic master prompt and then running up against the limits of it,

30:27 the places where it doesn't work.

30:29 And there's so many.

30:32 [laughter] So then, you feel the need like viscerally, like in your gut,

30:35 you feel the need for what we're going to do at the intermediate level.

30:39 Which is basically to break apart

30:41 your master prompt into little modular bundles.

30:46 Okay, I know that sounds kind of you know, complicated,

30:48 but it just basically means imagine your master

30:51 prompt as a whole whole collection of different documents.

30:56 And you only load up the ones that you need when you need them.

31:00 So imagine you have a master prompt just for one project.

31:03 If you're working on that project,

31:04 you only load up that master prompt and nothing else.

31:07 You have a master prompt for your finances.

31:10 You have a master prompt for your relationship.

31:12 You have one for your health.

31:14 You have one for your vacations.

31:16 You have like for each little part of your life and your work,

31:19 you have like almost like a little specialized master prompt so that you

31:22 avoid kind of overloading it and confusing it with too much random context.

31:28 Okay?

31:29 Then, in week three, we're going to do it again.

31:33 Because the intermediate level is also it's not that it's not enough,

31:37 it's that it has limitations.

31:38 There's always limitations.

31:41 So, the important point here is it is only at the advanced

31:45 level that we're going to layer in all the stuff,

31:49 the crazy, complicated, impressive,

31:52 sophisticated stuff that makes up 90% of what you see on social media.

31:57 Okay, the long-term memory where the the AI can

32:00 actually build and keep track of its own memory itself,

32:04 agents and sub-agents, integrations with other platforms,

32:08 advanced harnesses, all this stuff that's going on.

32:11 I really strongly believe should only come at the advanced

32:14 level when you have the the previous layers,

32:19 the more foundational levels in place.

32:24 All right.

32:27 So, I think I'm going to pause here.

32:34 Okay, that was that was a lot already.

32:37 [laughter] [gasps] Um I'm just opening the chat now.

32:42 Team, do you have any questions or comments you want to surface for me?

32:47 Yeah, for sure.

32:48 Definitely seeing a theme around privacy and security

32:52 when it comes to the master prompt.

32:54 This is a question that that popped up a lot.

32:56 So, how do you think about that?

32:58 Like giving more sort of like sensitive personal data

33:01 to the LLM or putting it into your master prompt?

33:06 This is a whole conversation.

33:10 [laughter] [sighs and gasps] It's a whole conversation.

33:11 We're We We're going to have not an entire live session,

33:15 but a big chunk of one towards the end,

33:17 I believe, about this because it's very nuanced, you guys.

33:21 It's very nuanced.

33:22 Don't don't think there's a single like the single answers

33:26 that you get these days are very black and white.

33:28 They're very all or nothing.

33:30 Give AI everything.

33:32 It's no problem.

33:33 You know, YOLO.

33:35 And the other extreme is no, AI is inherently evil.

33:38 It's stealing all your data.

33:40 Pretty sure there's some middle ground there.

33:44 [laughter] Um and it it it has implications.

33:45 Has implications for which tools you use in the first place,

33:48 for how you use those tools, for what you provide to those tools,

33:51 for the permissions you give at different levels.

33:53 There There's This is a world.

33:55 And what we will talk about it for sure, but it's nuanced.

33:59 I would say it's If I had If I had to say one answer,

34:02 it's just a trade-off like everything.

34:03 It's a trade-off between getting the power and the leverage of AI

34:07 without getting the risk and the pitfalls and the dangers of of AI.

34:18 Yeah, I like how Muhammad just put it in the in the chat.

34:21 Security in the AI era is a calculated risk.

34:25 Yeah.

34:26 Like everything.

34:27 I mean, everything is a risk.

34:28 Getting in your car, driving down the freeway.

34:30 Probably, you know, one of the biggest risks you take.

34:33 They're They're all calculated.

34:34 They're mitigated.

34:35 They're They're counterbalanced.

34:42 Yeah, anything else?

34:49 Hey, should we get to some questions from the Q&A?

34:54 Yeah, would you mind surfacing those for me

34:56 cuz the the chat is pretty crazy right now.

35:02 [gasps and sighs] All right.

35:05 Let's pick this one from from Julie.

35:08 I'm building my second brain in Notion and Claude.

35:11 Um I bought the Notion power template.

35:14 Personally working with Claude directly.

35:16 Do you have Claude skills you're building or endorsing?

35:18 How will the cohort maybe cover skills?

35:22 Yes, we will talk about skills.

35:24 That's one of those I'd say intermediate to advanced things.

35:27 So what you're going to notice is

35:28 that when you build your foundational master prompt,

35:31 you're going to put stuff in there that later on I'm going

35:34 to have you look look through it or have your AI look through it,

35:37 and you're going to notice some of the stuff

35:38 you're putting in your master prompt shouldn't be there.

35:40 It should be skills.

35:42 If it's like something like in in this case, do that.

35:47 Or in these situations, apply this this lens.

35:50 Those things that that are sort of triggered.

35:53 Uh I mean, you can you can create something else that's called a hook.

35:57 This is This is advanced, but you can create a hook or a skill.

36:00 It's It's almost like what was originally just the single

36:02 monolithic master prompt is now being pulled apart into different specialized,

36:08 purpose-built tools.

36:12 But I want you to start with the master prompt.

36:13 Just get it all in one place because AI can do a lot of that for you.

36:17 It can tell you what things should be and where

36:19 they go and what format they should be in.

36:22 Yeah, skill skills are of of the advanced things

36:26 we're going to look at, I think is So,

36:28 one of the criteria that I have is just what's mature.

36:31 I'm only going to teach you guys things that are mature, that are proven.

36:34 Uh because there's this wild crazy frontier right now,

36:37 like like open Claude, for example.

36:38 We're not going to do anything related to open Claude because it is a circus.

36:42 It is a wild west.

36:44 I have poured so many hours with zero return on that thing.

36:50 [laughter] It's not ready.

36:50 You know, maybe later it will be ready,

36:52 but we we're sticking just to Claude code,

36:54 which has been out for more than a year now.

36:56 That is mature.

36:57 And then we'll revisit what's ready to to look at in the in the fall.

37:03 Let's go to a comment from Andy who is on answering asking from YouTube

37:09 about your experience on letting Claude update the master prompt on its own.

37:15 And how it might understand your intentions, update itself.

37:19 Um how are you making sure that the updates are happening actually happening?

37:23 Would you like read the whole thing again?

37:26 Yes, that's that's probably the very first

37:28 thing that will break in your master prompt.

37:30 It will go outdated within like 48 hours.

37:34 [laughter] Because that's the pace of modern life.

37:36 That's That's how fast things move.

37:39 And then we're going to have a conversation

37:40 cuz there's there's different approaches to this, you guys.

37:43 There's no This is one of our guiding principles, in fact.

37:46 There's never just one right way.

37:48 I I I wish there was.

37:49 I wish I could just tell you the best way.

37:51 But even something as simple as updating your master prompt,

37:54 there's sort of a spectrum,

37:56 which I think this person was kind of alluding to, from more automatic ways.

38:00 Like you could really say, just go ahead and update it.

38:01 I don't even need to know about it.

38:03 Just do that every hour.

38:04 But then, there's that that risk trade-off.

38:07 It could put something in there that is not correct or is not accurate.

38:11 And then on the other end of the spectrum is full human updating,

38:15 which again has certain advantages and disadvantages.

38:17 I tend to be in the middle, which is go ahead and propose a set of changes,

38:21 flag the most high-stakes one for me so that I

38:24 can say yes or no or provide input input,

38:27 and then once I do, go ahead and do them.

38:34 Uh similar question from Elise and Megan regarding work versus personal.

38:40 Would you recommend different, for example, Claude accounts for each?

38:44 Do you put them together?

38:46 How should How do you think about the separation?

38:50 Yeah, again, this is this going to be my stock answer for everything,

38:53 but this is a conversation.

38:55 I think you need some sort of separation.

38:58 Some sort of separation, but you can do it.

39:00 So, we're going to look at something which is the context stack.

39:04 Imagine a pyramid where there's different layers of context.

39:08 The ones that are more foundational influence all of your AI interactions.

39:13 So think just just think for a moment,

39:15 what is so inherent to you and universal to to everything that you

39:19 do that you want it to influence every single AI interaction that you have.

39:23 It's actually not that many things.

39:26 Right?

39:26 That's That's quite a low level, but then there's higher levels where it starts

39:30 to become something that you can turn on or off.

39:33 Um I typically choose to separate it at the level of the master prompt.

39:38 I have a master prompt for work and a different one for personal.

39:41 And that's a pretty clean separation.

39:44 Um but then I have both of those in the same

39:46 cloud account which is tied to my work email.

39:49 So, there's always a little bit of bleeding in and out or some overlap.

39:58 Okay, I think I'm going to keep going.

40:01 Um Okay, so that was that was a little bit in the weeds, right?

40:11 Uh I kind of like to zoom in and out.

40:12 Always keep keep in mind the big picture and not get lost.

40:17 And so I want to zoom out.

40:21 [clears throat]

40:20 I want to zoom out because it's sort of like

40:26 one of the the questions that I I would love

40:28 for you to answer out of this this this call

40:32 is whether we're the right people for you to learn from.

40:35 Right?

40:36 I don't assume by any means that I am the right person,

40:38 that our team is the right person for everyone.

40:42 Right?

40:42 You You really want to find the teacher or the community or the method

40:46 or the philosophy that fits you and that you're

40:49 going to be able to have confidence in.

40:51 So, to help you do that, I want to just give you I think there's five of them.

40:55 Like my five most contrarian opinions.

40:59 They're contrarian in the sense that they're

41:01 the most different from everything that I see online.

41:03 Everything I see on X, on Instagram, on LinkedIn, on Substack.

41:08 Right?

41:08 So, to the extent that you either agree with these contrarian

41:11 opinions or not even necessarily agree but are willing to entertain them,

41:16 willing to consider them, then I'm probably the right teacher for you.

41:20 All right?

41:22 So, the first one is this stuff is hard.

41:26 This is like maybe the most contrarian thing.

41:28 Every day I see AI influencer after AI influencer

41:32 just either say or imply that it's easy, it's seamless,

41:36 it takes seconds, it's it's you know,

41:39 you could do this if you're brain dead, it takes no effort.

41:42 And then every time I take what they're telling me and I go and just

41:45 try it virtually all the time I find in my experience and I'm you know,

41:51 fairly competent uh it just requires so much more complexity than they say.

41:57 So much more subtlety is involved in the decisions.

42:00 There's so much more setup than they, you know,

42:03 set the expectations for and there's so much more maintenance.

42:06 So, I just want to be very honest with this that this isn't

42:09 this like magic button that you press and life becomes easier,

42:14 your work becomes easy.

42:15 It's it's hard work and it takes it it's

42:18 in in a weird way AI takes more cognitive effort.

42:22 Like like it really burns through your energy to to work with AI because you're

42:27 making these these kind of like architectural

42:29 decisions that have a lot of, you know, downstream implications.

42:33 So, I'm never going to pretend or say that this is easy.

42:38 Okay?

42:42 Hm.

42:46 Number two, um I see a lot of commentary out there that oh,

42:50 you never need to take notes.

42:51 Just have your AI note taker do everything for you and just,

42:55 you know, dump everything on all your drives and all of your your place.

42:58 No.

42:59 Note taking is more valuable than ever, you guys.

43:01 You still it still requires human discernment and human

43:04 judgment to pick out the signal in the noise.

43:08 What of all this stuff matters?

43:11 What is the important factor, the important priority?

43:15 What's the point of view that I'm taking?

43:18 At the same time the the value and the purpose of note taking is shifting.

43:22 So, there's this idea from from finance, from investing called alpha.

43:28 Alpha is a kind of information that other people don't have.

43:31 Right?

43:32 So, if you were a Wall Street investor, you you know,

43:34 maybe you you travel out there to like Minnesota

43:37 and you find out that there's like a you know,

43:39 a pest that is eating the the corn fields and you have alpha.

43:43 You have this unique piece of information that is not out

43:46 there in the public and you can use that alpha to invest,

43:50 to make decisions that give you a better return.

43:52 That same idea is coming to all knowledge work.

43:56 There are pieces of information that are not known to AI.

44:01 Information that is only, you know,

44:04 in certain places at certain times that is in certain people's heads,

44:07 that is in old books that have not been digitized,

44:10 that is in certain formats such as video

44:13 and audio that are harder for the AI to ingest.

44:16 There's all and there's hundreds of them,

44:18 hundreds of little pockets of information of alpha that if

44:22 you can find them and capture them in your notes,

44:25 you now actually have kind of a disproportionate

44:28 advantage over everyone else who is only

44:31 using what the AI already knows and what it already has in its training data.

44:35 Okay, so we are not leaving note taking behind.

44:40 Number three, I I am of the opinion that agents are largely a bunch of BS.

44:49 [laughter] [gasps] Um they're so not ready.

44:51 They're so not ready.

44:52 I've I've done so many tests and so many experiments and I think basically

44:57 that the the online hype cycle is putting

45:01 just far too much attention on automation and execution.

45:06 Those are the buzz buzzwords right now.

45:08 AI to automate your life, AI to execute for you,

45:11 to, you know, do your to-do list for you.

45:14 And I think that's just so misguided.

45:15 It's it's not true.

45:17 They they actually have tons of bugs.

45:19 They constantly fail.

45:21 They're constantly making mistakes.

45:23 And in a way it's it's not even the right place

45:25 to focus because the simplest bits of execution AI cannot do.

45:30 The other day I asked it to just look at my calendar.

45:33 Like the simplest thing.

45:34 Hey, go and look at my calendar calendar and tell me what I'm doing tomorrow.

45:38 Well, it immediately deleted a very important meeting that had 30

45:41 people invited to it and then it caught it and said,

45:44 oh, sorry, I deleted that meeting.

45:46 Let me undo it.

45:47 And it said, I undid it and it didn't.

45:49 It's like execution is not the right place for AI to focus.

45:53 What AI can do, what it's more than ready

45:55 to do is judgment or rather helping you with your judgment.

46:00 It's decision-making, making better decisions.

46:03 It's researching.

46:04 It's it's synthesizing research.

46:06 It's finding the gaps in research.

46:10 Right?

46:10 That's the realm of pure information.

46:13 The realm of pure information where it doesn't have to interact with anyone

46:16 or anything outside of your computer which is where it starts to go wrong.

46:21 Okay, so we are not going to be talking about any kind of agent.

46:24 We are talking about a cognitive exoskeleton,

46:27 AI as an enhancement and as an amplifier to you, the human.

46:34 Contrarian opinion number four is I really think you know,

46:38 we talk about the frontier of AI.

46:40 I really think the true frontier is inside our minds and bodies.

46:45 Um and we're going to have a series

46:46 of guest instructors that are all related to this.

46:49 Uh this is it, you guys.

46:50 It's not about the tools.

46:51 It's not about the features.

46:52 It's not about the technology.

46:54 It's about do you have self-awareness?

46:58 Do you know yourself?

47:00 Do you know how your mind works?

47:03 Do you have emotional fluidity?

47:05 Do you have the ability to shift between emotions?

47:08 The ability to regulate yourself?

47:09 The ability to rest and recover?

47:13 Okay, this over the long term,

47:15 maybe not on the order of weeks and months but on the order of months and years,

47:19 this is what's going to determine if AI is a force for good

47:23 in your life or if it's a force or if it's a negative force.

47:31 [clears throat] And fifth, this might be the most

47:33 controversial but I absolutely refuse the urgency.

47:37 I just think it's so it's so misguided.

47:41 All this thinking, this apocalyptic thinking that you have 3 months,

47:46 you have 6 months, you have a year, you have 18 months to, you know,

47:49 make all the money you can before our world

47:51 is over and you join the permanent underclass.

47:55 I've been alive long enough that I have seen

47:57 multiple technology waves and this is what they always say.

48:00 Every single new technology wave they say it's all over

48:04 and you have to do A, B, and C right now.

48:06 I I think typically when they do that it's it's to get you to do something.

48:11 Right?

48:11 It's to get you to panic, give in to fear, buy something,

48:15 do something, buy into something, an idea and I just won't do it.

48:20 Okay, this this is going to take decades.

48:23 This is going to take decades.

48:25 Um it's going to play out for the rest of our lives.

48:28 When we are, you know, at the end, on our deathbed,

48:33 they're still going to be arguing about AI's impact on society.

48:36 People will still have jobs.

48:38 We'll still send our kids to school.

48:39 We'll still read books.

48:41 I'm not giving in to the panic and the hype.

48:43 We are being more thoughtful and more present uh

48:47 in the face of what AI is doing rather than less.

48:53 Okay.

48:54 So, we already did that.

48:55 We're going to have more time at the end but let me just keep going.

48:59 So, let me transition now from sort of talking in broad strokes about you know,

49:07 my point of view, my method, my principles, etc.

49:11 that I'm that I'm following to the program that we're launching.

49:15 Okay, this this is the next action.

49:18 This is the concrete thing that you can do like now,

49:21 like starting today if you have decided you want

49:25 to keep learning with me and keep learning with us.

49:28 Okay?

49:29 It's the first time that we're teaching uh a live cohort.

49:33 At least we we did one focus on businesses last year

49:35 but this is the first time we're doing one for individuals,

49:38 for professionals in 3 years.

49:41 It's taken 3 years of research and thinking and we've done many,

49:45 many experiments, many, many, you know,

49:47 trial and error things and this is what we've come up

49:50 with as as really the new direction of our entire company and my work.

49:55 It's an intensive live 3-week program.

49:57 Okay, so for 3 weeks we are going to meet three times a week.

50:01 I will be there every minute of it personally to lead you through everything.

50:06 And what you're going to walk away with here at the bottom

50:08 is a working AI second brain at some level of capability.

50:12 I don't know if it's going to be at the foundational

50:13 level or the intermediate level or the advanced level.

50:16 That's kind of up to you.

50:17 That's up to what you're ready for, what

50:19 you have time for, what you're even interested in.

50:22 Okay, but what that is is a personalized,

50:25 organized, context-rich digital exoskeleton.

50:30 And what it's going to do is

50:31 make every single conversation and collaboration not

50:36 just something that anyone else in the world would get from working with AI,

50:40 but something that's informed by your expertise,

50:42 your context and your goals and many other things as well.

50:48 Okay.

50:51 So, I want to kind of zoom into that.

50:53 What is the way what what are the kind

50:55 of the principles that we are using to deliver this?

50:57 So, the first one is compression.

51:03 Uh the first assumption that I have is that you don't have time.

51:09 Okay, I'm assuming you don't have time or at least not as much time

51:12 as you want or as you need to uh explore the frontier of AI.

51:17 I mean, I don't have time and it's my full-time job.

51:20 Takes our entire team spending most of our time,

51:23 hundreds, really probably thousands hours,

51:26 thousands of hours of research and experimentation

51:29 and hands-on trial and error compressed into 3 weeks.

51:32 That's the main value proposition.

51:34 That's why you should join.

51:36 In 3 weeks we're going to take you from wherever you are,

51:39 even if you've just barely opened ChatGPT,

51:42 all the way to not completely on the frontier cuz as I said,

51:45 it's not ready, it's not mature, but pretty close to the frontier.

51:51 Everything we do in this cohort is community-centric.

51:54 Okay, so this is hard to understand unless you've experienced it,

51:58 but the way we do education,

52:01 it's not like I have all the answers and I am just delivering them on to you.

52:06 Okay, that that's not how it works.

52:07 I really see this cohort more as like it's all it's a learning community.

52:11 It's a community of practice.

52:13 I really want and I and I expect I'm going

52:15 to I'm going to ask those of you in the cohort.

52:18 I I I hesitate to even call you students.

52:20 I like participants or or peers more because we're

52:24 going to be constantly sharing what we're figuring out,

52:27 constantly sharing our experiments, our mistakes,

52:30 our failures, our wins and successes.

52:32 I would say from our our past years of doing cohorts that at least 50%

52:37 of what you learn and a lot of the most impactful things come not from me,

52:41 but from the other participants.

52:43 It's a it's a collective,

52:45 it's a it's a crowdsourced learning experience that we're doing here.

52:51 Everything we do is platform-agnostic, right?

52:53 We're So, I should say all the demonstrations will be on Claude.

52:58 Okay, cuz that's the one I know the best,

53:00 but everything that we're building, the master prompt,

53:02 the little context bundles, the AI board of advisors,

53:05 my this is like a life principle for me.

53:07 I don't do anything that is limited to one platform.

53:10 I just don't.

53:10 That's that's not a wise thing to do.

53:13 So, everything we're creating is completely platform-agnostic.

53:15 You take it with you.

53:19 And I think this is the last one,

53:20 but and I've I've kind of mentioned it a few times,

53:22 but I'm really not interested in replacing humans,

53:25 even if humans can be replaced.

53:28 Um that's just not my preference.

53:32 [laughter] I like humans.

53:32 I value humans and my time and attention and effort is going to augmenting them,

53:38 to making them smarter, faster, wiser, more embodied,

53:43 more connected to their intuition to their intuition,

53:46 more creative, with better judgment.

53:49 Right?

53:50 So, we we are really focused on augmentation, not automation.

53:56 And this is the price.

53:58 So, regular price is 3,000 bucks.

54:01 We have payment plans available via two two different services.

54:05 Klarna Klarna is one of them and then Afterpay.

54:09 And there's an early bird uh option.

54:11 So, this is only for the first 50 people, which is $2,000.

54:15 It's a $1,000 discount.

54:17 I would really encourage you if you are interested in that to do it now.

54:20 Like that will be gone in hours.

54:22 That will be gone definitely before the end of today.

54:26 And what do you get for that investment?

54:29 A few things.

54:30 First one is the option to rejoin the next cohort.

54:36 Okay, so the first one, cohort one, the founding cohort is next month in April.

54:41 The next one will be in the fall.

54:43 We're not sure exactly when, probably around September.

54:46 But you're essentially getting two for the price of one.

54:48 You have the option to join a whole second cohort

54:52 in the fall which will have a whole new curriculum.

54:54 Like I'm going to I'm going to update it probably massively with a whole

54:58 new round of updates with everything

54:59 that has happened between April and September.

55:04 Okay.

55:05 You also get access in the in-between time to our second brain membership.

55:10 So, this is this is the cool thing

55:11 is we're not creating a community from scratch.

55:14 This is a community that has been around for many years.

55:16 Uh it's called the second brain membership.

55:18 It's on a platform called Circle.

55:20 Uh we have our own custom app on iOS and Android,

55:23 so you can access it on the go.

55:25 Um there's polls, there's a discussion forum,

55:27 there's different spaces you can join to kind of get into different niches.

55:31 You can look up people's profiles.

55:33 So, you can you can DM them.

55:35 There's a map.

55:35 You can see like where in the world do people live?

55:37 There's a whole world in there that you get

55:40 access to automatically um when you join the cohort.

55:43 I think that's like a I believe it's a $650

55:46 per year value that you're going to get with that.

55:49 Uh and then everything, all the course materials,

55:51 slides, curriculum, everything will be available for 1 year.

55:58 Not going to get into this too much cuz I want time for questions,

56:00 but we have so far confirmed four guest instructors.

56:05 This is something [clears throat] I'm so excited about

56:07 because this is almost like a it's like a parallel

56:10 curriculum because I really think these are some

56:12 of the most important topics in in on the AI landscape.

56:17 My great friend Chloe is going to talk about attachment,

56:19 how your attachment style um shapes how you attach, how you relate to AI itself.

56:26 Uh Joe Hudson, who is I believe one of the most talented coaches in the world.

56:30 He's the personal coach of Sam Altman,

56:32 has worked with half a dozen teams at OpenAI uh on the topic of fear,

56:37 fear when working with and within AI.

56:41 Uh my friend Raya is going to talk about AI as co-creator.

56:46 She has some really cool projects and companies that she's started around that.

56:50 And then these are all my friends.

56:52 These are just basically my buddies that I the people

56:54 that I've learned the most from that I am,

56:56 you know, calling in to teach you as well.

56:58 Uh Johnny's a dear friend and he's

57:00 going to talk about nervous system regulation.

57:02 How do you regulate yourself with the just unbelievable

57:06 pace of change that AI is unleashing upon the world?

57:12 And just in case it wasn't clear,

57:15 this is not really a 3-week arc, it's a year-long arc.

57:20 Okay, I'm not leaving you to your own

57:21 devices on May 1st when the 3-week cohort ends.

57:25 That's really just kind of the kickoff.

57:27 We have a 3-week kickoff.

57:29 Then we have five or six months of live events in the membership.

57:33 Most of those live events are just going to unpack

57:35 and go deeper on what we covered in the cohort.

57:38 Right?

57:38 So, those happen at least weekly, sometimes multiple times a week.

57:42 We're going to have all the time in the world to just get into examples,

57:45 get into case studies, get into, you know,

57:47 step-by-step walk-throughs, answer your questions, do coaching sessions.

57:52 That all happens within the membership,

57:53 which is also in the process of pivoting toward AI.

57:57 Then in the fall we have cohort number two

57:59 with a updated curriculum and then there's another 6 months.

58:02 There's a second half of that year membership

58:05 to then follow up on everything that you learn there.

58:08 So, what I'm really asking you to do is to go on a learning journey with us.

58:12 Go on a year-long learning journey.

58:14 I can't even imagine the things that are going to be

58:17 unveiled over the next year in the world of AI,

58:20 but we're going to do it together.

58:23 That's the bottom line here.

58:25 That's my concluding thought is when I

58:27 think about the scale of years and decades,

58:30 like think about what what is most important if this is

58:33 something that is going to unfold over many years and even decades.

58:38 I think the single most important thing for you

58:41 to decide now is who are you going to learn with?

58:45 You know, any book, any single book or video or or course

58:49 is going to pass away within a matter of months.

58:52 Uh any method, any technique, any set of principles,

58:56 they're all just being revolutionized on a monthly basis.

59:00 What will persist, I think,

59:02 what's going to stand the test of time is your community.

59:06 The people, the the other human bodies that you

59:11 decide you want to influence and be influenced by.

59:15 So, I guess [clears throat] if there's one decision that I would make,

59:18 you know, today, whether you choose to join us or not,

59:20 really is you know, that's completely your choice,

59:22 just really thoughtfully consider who do you want to learn with.

59:27 Right?

59:27 Don't make the the feed on Twitter your community.

59:32 Don't make the feed of endless hype that community.

59:35 Choose a real community.

59:37 Choose a community that is that is thoughtful, that is wise, that is diverse,

59:41 that has a lot of different viewpoints, and really invest in it.

59:45 Become a member of that community.

59:48 And if what I've said today resonates with you,

59:50 if it feels like it fits the way you see the world,

59:53 then I I invite you to join ours.

1:00:01 All right.

1:00:07 Okay.

1:00:09 Woo, that was a lot of talking.

1:00:11 We have 25 minutes left.

1:00:21 And I'm here for you.

1:00:22 Give me your hardest most complex question.

1:00:28 My answer may be it depends, but I'll do my best to give you some clarity.

1:00:35 All right.

1:00:35 So, why not start with the question from Sherilyn?

1:00:38 Can you talk more about how emotional regulation,

1:00:41 nervous system, inner awareness are critical for this process?

1:00:45 Just want to understand more about how you understand

1:00:48 this, and who are some of the guest instructors?

1:00:51 Uh We actually saw that, so.

1:00:55 [laughter] Yeah, I would say um I just want to say one thing about that.

1:00:59 Uh this is a few weeks ago, about 3 weeks ago,

1:01:02 I did a week-long uh course with Joe Hudson,

1:01:05 one of the guest instructors, uh in Sonoma in California.

1:01:10 I'm going to be writing [clears throat] a blog post on this.

1:01:12 It's the the draft is currently 7,000 words,

1:01:15 and I think by the time I'm finished will be like 10,000 words.

1:01:18 So, I'm sorry for [laughter]

1:01:20 the massive amount of text that I'm about to unleash.

1:01:23 Um but the the big breakthrough, the big takeaway was around fear.

1:01:28 I would not have said that I was afraid of AI or feeling fear toward AI.

1:01:32 I would have said I was excited.

1:01:34 Right?

1:01:34 That I was optimistic and positive.

1:01:37 But through this process,

1:01:38 and we're going to we're going to do some of the exercises

1:01:40 and some of the practices that we did in my course,

1:01:43 I've asked Joe to lead us through those like live on Zoom.

1:01:47 Because it goes so deep, I realized that I had so much fear.

1:01:50 I had multiple levels.

1:01:51 Fear on the personal level, what's going to happen to me,

1:01:54 my work, my career, my income.

1:01:56 Fear on the family level, what are my kids' futures going to be like?

1:02:00 What is the right way to parent?

1:02:02 What do my relationships look like at the level of the team?

1:02:06 The business, the business model, the industry,

1:02:09 all the way to like the fate of the world and the future of civilization.

1:02:12 There's no way that all those levels of fear are not really

1:02:16 really powerfully shaping the way you think and the decisions you make.

1:02:20 And so, the important thing is not to deny

1:02:23 that, it's to bring it into the light.

1:02:25 To feel through it.

1:02:27 Cuz each one of those kinds of fear are telling you something.

1:02:30 They have a message.

1:02:31 They have a signal that you need to hear, and the key is just to hear them.

1:02:36 Which is I'm making it sound like an intellectual process.

1:02:39 It's not.

1:02:39 It's a somatic, embodied, experiential process.

1:02:43 And we will we will try some of that in that guest session.

1:02:54 What else?

1:02:55 Anything especially that we like we didn't cover on the the website

1:03:00 or in the in the emails that I've been sending out,

1:03:02 something that has not been addressed elsewhere?

1:03:05 Yeah, I'm I'm hearing um that some people are a little bit concerned if

1:03:09 they are not really fully up to speed with maybe code or PARA yet,

1:03:13 that they might be starting the cohort already on the behind.

1:03:17 So, what could you say about that?

1:03:20 Yeah, so a couple things.

1:03:23 Um the first thing you will see the minute you sign up, like even today,

1:03:28 um is we have a little I I believe it's already in there, right Julia?

1:03:32 The Claude course?

1:03:35 Is that in the curriculum?

1:03:36 Yeah, yes.

1:03:36 We have a beginner's guide to Claude that you

1:03:38 will get immediate access to when you sign up.

1:03:42 So, we're really not assuming any knowledge.

1:03:44 Like it's really helpful if you've opened Chat GPT once or twice,

1:03:48 uh or Claude, but um the first thing you will see in the curriculum,

1:03:52 like right now when you sign up for the cohort,

1:03:55 is a pretty It's it's not extensive.

1:03:57 It's maybe like five or six modules or something like that.

1:04:00 Just giving you a beginner's introduction to Claude.

1:04:03 Right?

1:04:03 So, we're giving that to you up front.

1:04:05 So, like when I refer to a certain feature

1:04:07 or I talk about something that is specific to Claude,

1:04:09 you can already know what I'm talking about.

1:04:11 That's the first thing.

1:04:13 The other thing is we have so much existing content,

1:04:15 and I I agree it's almost a problem because,

1:04:18 you know, I'm not going to have you go read the PARA book.

1:04:20 That would take a long time.

1:04:21 Just watch the PARA video.

1:04:23 Okay, that's 10 minutes, and you can get most of what you need to know.

1:04:27 Uh if you need to know about code, we have, I believe, a video on that.

1:04:32 There's practically everything that I'm going to talk

1:04:35 about that is sort of like foundational knowledge,

1:04:37 there is either an existing piece of content that is quite succinct that you

1:04:41 can consume in a matter of minutes or maybe half an hour or something.

1:04:44 And if not, then we're going to provide it as part of like the pre-work,

1:04:47 the pre-curriculum inside circle.

1:04:51 Um My my principle here is I want the floor to be very low.

1:04:56 I mean, I'm going to have like my family members, my my parents.

1:05:00 [laughter] Sorry for using you guys as an example.

1:05:02 I think they're on the call right now.

1:05:03 But my parents are going to be there, okay?

1:05:05 They're the ultimate [laughter]

1:05:08 the ultimate judge of whether we've made it, you know, easy to understand.

1:05:12 But then I want to make this the the the ceiling very high.

1:05:15 I want those of you that are like all into this, that are obsessed,

1:05:18 that are just like going full speed ahead by the time the cohort

1:05:21 is finished to feel like you've really raised the ceiling of capability.

1:05:26 Which does mean we're going to move fast.

1:05:28 The only way to have those two things is

1:05:30 for there to be a a steep learning curve.

1:05:32 And so, we have you know, we have three 90-minute calls a week.

1:05:35 It's it's intensive.

1:05:37 I put that word intensive in there.

1:05:38 It's not an accident.

1:05:39 Like you really need to like set aside the time.

1:05:43 Honestly.

1:05:44 Like set aside the time for it.

1:05:50 Question from Megan.

1:05:51 How much time will we spend on personal development work

1:05:55 versus sort of like this AI and thinking brain training?

1:06:01 Yeah, it's a great question.

1:06:02 So, [clears throat] excuse me.

1:06:10 Um so, part part of my answer to all these kinds of questions is we are

1:06:17 going to very much adapt and flex what

1:06:21 we're teaching in response to what people are experiencing.

1:06:24 Like like this this is actually a very important kind of disclaimer.

1:06:28 Um the whole point of the live cohort is not to like

1:06:32 take you on a forced march through this curriculum exactly as designed.

1:06:37 It's to feel you out.

1:06:39 It's to feel you out.

1:06:40 I have so many ways of doing that.

1:06:41 I have the little feedback surveys, I have your circle comments,

1:06:44 I have the expression on your face on Zoom, because we'll be in in meeting mode,

1:06:49 so I'll be able to see the gallery of all your faces.

1:06:51 I have your comments in the chat.

1:06:52 If I sense that people are struggling or that we're

1:06:55 moving too fast or that a you know,

1:06:57 a a previous concept didn't land, then we stop.

1:07:01 We don't we don't just like charge ahead.

1:07:03 We flex, we adapt, we move faster, we slower move slower.

1:07:06 We often like will create sessions like brand new sessions.

1:07:10 We'll be like, "Hey, we need a breakout call,

1:07:11 a whole other call to just talk about that thing." cuz there's like

1:07:15 say a small sub small subset of people who are interested in that.

1:07:19 It's a it's an interactive experience.

1:07:22 Okay?

1:07:22 Um I always say that each and every person

1:07:24 in the cohort very like very much shapes the cohort.

1:07:28 Like individual people change.

1:07:31 They have an impact on how we go and where we go,

1:07:33 and that's so important, right?

1:07:35 Um and so, it's it partially depends on the the interest

1:07:40 in that personal development side that I sense.

1:07:43 If we have like five people interested in it, I'll kind of be like,

1:07:45 uh let's just kind of like move that conversation to the the guest sessions,

1:07:50 which is almost like a parallel curriculum.

1:07:52 If there's a lot of interest in it, we may we may emphasize it quite a bit.

1:07:58 Depends.

1:08:04 All right.

1:08:05 What else?

1:08:06 Um I I just want to mention that we have already

1:08:09 sold out of of our 50 seats at the $2,000 level.

1:08:14 Okay.

1:08:15 So, that that wasn't planned.

1:08:16 That wasn't like one of these like crazy urgency-creating tactics.

1:08:21 That was much faster than I expected, but uh early bird is over.

1:08:25 Early bird is finished.

1:08:30 All right.

1:08:31 Okay, I want to ask ask a question from Preston.

1:08:34 How do you find your alpha with AI?

1:08:39 [clears throat] Yes, such a great one.

1:08:41 Such a great one.

1:08:43 Oh my gosh, we're going to talk about this.

1:08:45 We have a whole session dedicated to note-taking and capture.

1:08:48 Because it's subtle, you guys.

1:08:50 It's so subtle.

1:08:51 Like I'll just give you [clears throat] like one random example.

1:08:55 Um I'm I'm really getting into local history.

1:09:00 This is this is the last thing I ever thought I would

1:09:02 be interested in, but uh we live in this Mexican town right now.

1:09:05 It's a it's a small town.

1:09:06 I mean, smallish, 100,000 people.

1:09:09 Small compared to Mexico City, right?

1:09:11 And I'm noticing that it has a really

1:09:13 rich history that goes back almost 500 years.

1:09:17 And none of it is digital.

1:09:19 You can't find it online.

1:09:20 I've tried asking every AI platform, they're all like,

1:09:22 "We know nothing about this town." right?

1:09:25 And at first I was like annoyed.

1:09:26 I'm like, "I just want to, you know,

1:09:27 I want a quick, easy, convenient, seamless way of learning this.

1:09:31 But as I thought about it, I'm like,

1:09:32 oh my god, this is an incredible opportunity.

1:09:35 And I'm now like I'm kind of like in the Indiana Jones.

1:09:37 I'm like going to the local library and taking out old books

1:09:41 and literally like blowing on them with like the dust, you know?

1:09:45 [laughter]

1:09:45 And it's like I get to go on this little adventure of finding these these rare

1:09:49 physical printed documents and like reading it reading

1:09:53 through them in some cases and like old Spanish,

1:09:55 using AI to translate the old Spanish into English.

1:09:59 Um I'm working on a blog post where I'm

1:10:00 going to talk about the 500-year history of this town.

1:10:03 And so that's one example that I never would have imagined, local history.

1:10:06 Think about the the local history that exists all over the world.

1:10:10 Most of it is not digitized.

1:10:12 Most of it is is not in the AI training data and therefore that's alpha.

1:10:17 Now, how you take advantage of that alpha, that's a separate question.

1:10:20 You know, maybe there's not like a direct way to say make money off that.

1:10:24 But like in my case, I'm using it for community building.

1:10:26 I'm starting a nonprofit with a friend uh to promote

1:10:29 like sustainability and innovation in this town and I'm going

1:10:32 to like share this research with this little community

1:10:36 that we're building as a way of saying like you guys,

1:10:38 there's a really rich uh tradition here.

1:10:40 There's a rich legacy.

1:10:42 And so like the the return on investment for me is not dollars.

1:10:45 It's like connection, interestingness, satisfying my curiosity,

1:10:50 having conversation fodder for, you know,

1:10:52 these local friends that I have in my town.

1:10:56 So you you got to think beyond finances.

1:10:58 Think beyond money.

1:11:00 Um but there's so many examples.

1:11:01 Like things that happen in conversation are alpha.

1:11:05 Conversation with friends,

1:11:07 things that uh happened in the past like during your childhood.

1:11:11 I'm doing another project now to digitize all my home videos from my childhood.

1:11:16 Cuz I realized, holy crap, those grainy,

1:11:19 low-resolution home videos from when I was five,

1:11:22 AI can will soon is pretty close to be able extract tremendous meaning

1:11:27 from that or at least just edit it into like a highlight reel.

1:11:30 Uh it's everywhere.

1:11:31 Alpha's everywhere.

1:11:34 Uh but you got to you got to you got to think, you got to pay attention,

1:11:37 you got to think like what kinds of alpha are most relevant to you.

1:11:40 And then you have to find an efficient means

1:11:42 of capture for getting that alpha into your own context.

1:11:50 Okay, so this is a question from a little

1:11:53 earlier and I don't remember who asked it,

1:11:55 but it was around like specific like use cases.

1:11:58 Like how have you specifically seen this sort of like help you?

1:12:02 Like you know, the master prompt, what you will be teaching, what what results?

1:12:08 Talking about the results you've gotten.

1:12:10 Yeah, sometimes we nerd out on the the the process so much that we forget,

1:12:15 you know, the results.

1:12:17 Um there was another comment too I saw

1:12:19 in the chat like is this just for business?

1:12:21 Or even just for work?

1:12:22 And I would say absolutely not.

1:12:25 Uh those tend to be I tend to use work-related examples cuz

1:12:28 the return on investment the investment of your time is so clear.

1:12:33 But I would say the impacts have been just as big in my personal life.

1:12:37 I'll give you a couple examples and this is what

1:12:38 we're going to tackle in the AI board of advisors.

1:12:41 Those those advisors are not just for work life.

1:12:43 I have actually found them more useful in my personal life

1:12:46 because in my personal life I don't have as good of advice.

1:12:49 I I I like can't justify, you know,

1:12:51 the the consulting and the coaching in my personal life.

1:12:55 So one example the two examples are my health and my finances.

1:12:58 So with my health, I'm going to write

1:13:00 [clears throat] this up uh soon, but you guys,

1:13:04 I just I've just started a basically assembling

1:13:08 all the context I can find about my health,

1:13:11 providing it to my AI health coach, my health advisor.

1:13:15 And I I would say I've learned more about health and my own

1:13:18 personal health in the past couple months than than I ever have before.

1:13:23 Like the its ability to cross-reference, oh, you're taking that supplement,

1:13:27 but you're also do you're also having that protein after your workouts.

1:13:31 Well, that this ingredient in that protein, which I shared with it,

1:13:34 is counteracting and making it so you can't absorb that supplement.

1:13:38 Or oh, you're trying to get more protein in your diet,

1:13:41 but you're you eating too much steak.

1:13:43 That's too much red meat, which is increasing your cholesterol,

1:13:46 which I know you're trying to keep an eye on.

1:13:48 So substitute 50% of that that red meat intake with fish and chicken.

1:13:52 Like things like you would need a team

1:13:54 of not even doctors cuz doctors aren't good at nutrition.

1:13:57 You would need a team of nutritionists around the table, you know,

1:14:02 going through your health documents and which are

1:14:05 of course are in a dozen different formats.

1:14:06 It's crazy.

1:14:07 The number of formats you have to work with with health.

1:14:10 And I talk to it almost every day.

1:14:13 Uh and now I'm doing the same for my family.

1:14:14 I'm creating health advisors for different members of my family

1:14:17 because I'm just like my parents, you know,

1:14:19 they're they're getting old and they don't have

1:14:21 anywhere near this good of advice for their health.

1:14:25 Um the other one is um finances.

1:14:30 Um we've worked with a financial advisor before,

1:14:33 but do you know what financial advisors charge?

1:14:37 Like they charge a percentage of fees under management.

1:14:40 Have you seen the math on like if you

1:14:42 work with a financial advisor like over 5, 10,

1:14:44 20 years, you're paying them like a sizeable percentage

1:14:47 of all the money that you make from your investing.

1:14:49 It's absurd.

1:14:51 Right?

1:14:51 Even the the advisors that you can pay like by the hour are expensive.

1:14:55 Um and so I've given it uh our financial context and there's just

1:15:01 all these all these like mistaken assumptions I was making about my finances.

1:15:06 There were some things I just flat out did

1:15:07 not understand about how retirement account works accounts work,

1:15:11 how 529 education accounts work.

1:15:14 Like I had certain ideas of what risk

1:15:16 is or even means that were actually completely misguided.

1:15:20 Uh and we've significantly changed how we save, how we invest, how we give,

1:15:25 how we how we uh donate uh based on our work with our AI financial advisor.

1:15:30 Those are a couple examples.

1:15:39 So the reason you need your uh we have 10 minutes left.

1:15:42 Your board of advisors is So this is

1:15:45 another example of where the master prompt fails.

1:15:48 Your master prompt is very like hor Think of it as horizontal.

1:15:51 Right?

1:15:52 It's across, like I said, everything.

1:15:54 It's across every AI interaction.

1:15:57 Right?

1:15:58 But if you have a certain domain of your work or life,

1:16:03 like health, like finances, at work it might be like looking at your HR policies

1:16:08 or looking at your insurance needs or looking at your marketing strategy,

1:16:13 like one vertical slice,

1:16:16 your master prompt won't have anywhere near enough context.

1:16:20 Right?

1:16:20 How could it?

1:16:21 How could it?

1:16:21 So for So for those vertical slices,

1:16:24 you have to go really deep on just that slice.

1:16:27 Where is the context that you'll need?

1:16:29 And often like you got to you got to go spelunking.

1:16:32 You got to go log into random platforms, download things,

1:16:35 convert them from one format to We're going to talk all about

1:16:38 this, but convert them in into a format that is AI friendly such as markdown.

1:16:42 You have to um you have to do a little dedicated like

1:16:45 curation effort to get that context in one place because it tends

1:16:50 to either not exist at all or not exist in digital form

1:16:54 or not exist in a digital form that AI can make use of.

1:17:04 Um if you folks have asked if this is suited for people with ADHD and maybe

1:17:11 the broader question is who is really

1:17:13 best uh would best benefit from the course?

1:17:17 [gasps and sighs] Yeah, there's a few I think we have this on the website,

1:17:19 but there's a few people that come to mind.

1:17:21 Um I mean the the the main one as I said is if time is a constraint.

1:17:28 Because if time is not a constraint,

1:17:30 if you can afford to spend I I feel like realistically it takes

1:17:34 at least one or two hours a day to kind of tread water.

1:17:39 Like that's just that's like maintenance.

1:17:41 That's like basic maintenance.

1:17:42 It it really does, you guys.

1:17:44 Um like those one or two hours would just

1:17:46 be spent sort of like maintaining what you already have.

1:17:50 You know, as I said before, it takes maintenance.

1:17:52 Don't let anyone convince you that no maintenance is required.

1:17:57 Uh and then I think you would need at least

1:17:58 another one or two hours to do anything new.

1:18:00 To learn anything new, try anything new, adopt anything new.

1:18:03 So like three to four hours I feel like is what it really takes.

1:18:07 If you have three to four hours a day, go for it.

1:18:09 Like do trial and error.

1:18:11 There's no there's nothing like direct experience.

1:18:14 Right?

1:18:15 Um but if you don't, then allow us to compress.

1:18:19 You know what I noticed that was funny?

1:18:20 I I went through months or even like years of of notes

1:18:23 and Notion docs and experiments and different things designing this curriculum.

1:18:28 There was like a six-month window.

1:18:30 Only things about six months old.

1:18:33 So uh up to like the beginning of the fourth quarter

1:18:36 of last year were relevant and then it like dropped off.

1:18:39 Everything that was more than six months

1:18:40 older was like zero relevant, zero usage.

1:18:42 It was actually like the wrong thing to pay attention to.

1:18:45 So I kind of think in AI right

1:18:46 now there's like a moving six-month window of relevance.

1:18:50 And so this cohort, this three-week cohort,

1:18:52 we're getting really the last six months and we're compressing it into I

1:18:56 think about 15 hours is what we have in terms of live sessions.

1:18:59 So six months of time compressed into 15 hours.

1:19:03 That's the main value.

1:19:05 And then besides that, I would say professionals.

1:19:07 There will there will be I would say more of an emphasis on work.

1:19:10 That's tends to be the arena where people use AI more.

1:19:14 Uh people who um are neurodivergent and have ADHD.

1:19:20 I kind of think that this is a golden age.

1:19:22 This This is AI is ushering in a golden

1:19:25 age for people with ADHD and people who are neurodivergent.

1:19:29 Because finally multitasking [laughter]

1:19:34 such as between multiple cloud code sessions that are all happening

1:19:37 at the same time or multiple agents that are all working.

1:19:39 That's that's now going to become one of the most valuable skills.

1:19:43 It's going to become so incredibly important to be

1:19:46 able to do that and it is a skill.

1:19:47 It's a skill.

1:19:49 It's like the skill of middle management.

1:19:51 Those of you who are are middle managers and have,

1:19:53 you know, eight direct reports.

1:19:55 That's people talk about, "Oh, middle management is going away.

1:19:58 That's going to be the first people to lose their jobs." Maybe so,

1:20:01 but you're just we're all going to become middle managers now.

1:20:06 [laughter] We're all middle managers of our own team of AI agents.

1:20:09 And as any manager will tell you, I mean people people go through

1:20:12 an incredible like transformation to become managers.

1:20:16 To be able to lead, to be able to delegate,

1:20:18 to be able to coach, to be able to guide,

1:20:20 to see things from different perspectives and let

1:20:22 go of your perspective to take on someone else's.

1:20:25 It's like a whole skill set that we kind of need to learn now and people

1:20:28 with ADHD I I I've seen some examples

1:20:32 that they tend to thrive in that environment.

1:20:37 Who else?

1:20:38 Um any Anyone else come to mind, Julia, as a as a good fit for this?

1:20:45 I was answering questions and not listening to you.

1:20:50 [laughter] Perfect example.

1:20:55 [gasps] Okay.

1:20:58 Uh question from Maria.

1:21:00 She's in the middle of reading second building building a second brain.

1:21:04 What's your advice on starting to capture at this point?

1:21:12 I think we've already talked quite a bit about capture.

1:21:14 I would just say it continues to be important as important as ever.

1:21:18 But the way it happens and what it's focused on needs to change.

1:21:23 Needs to change.

1:21:25 Needs to become more about just more about finding whatever is not

1:21:29 in AI's training data or what AI cannot find through a web search.

1:21:34 It's as simple as that.

1:21:46 Anything else?

1:21:47 5 minutes left.

1:21:50 I wish I could see you all.

1:21:51 I can I can get a sense of you from the chat over here on the right,

1:21:54 but it's kind of it's a lot going on, but I love I love that we do meeting

1:21:59 mode in the cohort because it's it's it's almost

1:22:00 like we're just like it's like a work meeting.

1:22:02 We're getting on with our colleagues, our collaborators,

1:22:05 our peers and we are like yes, I'm teaching, but we're also kind of knowledge

1:22:11 sharing or giving feedback on different things.

1:22:14 We're sharing things we've tried.

1:22:16 No No one No single person has enough time to try everything.

1:22:18 It's impossible.

1:22:20 So I I really in in a funny way I'm trying I'm [laughter]

1:22:24 I'm very much trying to assemble the group

1:22:26 of people that I personally want to learn with.

1:22:30 Honestly, like that's it.

1:22:31 I'm trying to bring together a little crew uh that, you know,

1:22:36 shares some principles, but then has other, you know,

1:22:40 divergent and diverse points of view because I want to spend the next

1:22:43 few years learning learning with those people and I can't do it all myself.

1:22:47 Even our team of six cannot do it all ourselves.

1:22:57 Oh, the t-shirt.

1:22:57 Yeah, this is These are the previous t-shirts.

1:23:00 I guess they still kind of apply.

1:23:02 Um I've long wanted to make the t-shirts available on the website.

1:23:06 Maybe we'll do that.

1:23:09 Uh there's no attendance make an attempt.

1:23:11 There's no attendance limit.

1:23:13 This is something that I that has always been important to me.

1:23:16 Um that to me feels like an artificial constraint.

1:23:18 Like why as long as Zoom can support it, why put a cap on it?

1:23:21 Uh which also means we don't actually we really have no idea

1:23:24 how many people are going to are going to end up in this.

1:23:27 My goal was at least 50.

1:23:28 50's kind of a nice number.

1:23:30 Seems like it's going to be more than that, but um

1:23:33 we don't know for sure how many people will be in there.

1:23:41 And I just want to point out if anyone has questions,

1:23:44 um you can reach out to us at support@fortelabs.com.

1:23:48 We'll be right there answering your questions.

1:23:55 Thanks, everyone.

1:23:56 probably many still have some.

1:23:58 Yes, [clears throat] please send us all your questions.

1:24:00 We want to hear them all.

1:24:01 And And enrollment is open until April 14th.

1:24:06 That's one day before the first live session, which is on April 15th.

1:24:13 Awesome.

1:24:15 Thank you.

1:24:16 Thank you all so much for being here.

1:24:17 I appreciate you.

1:24:19 And I hope to see you soon somewhere.

1:24:24 [clears throat] Bye, everyone.

1:24:28 Thank you, everyone.

1:24:31 Adios.