00:00:00In this video, we're gonna talk through
00:00:01the five phase process that you can follow
00:00:03to become fluent, native, super productive,
00:00:05using AI in about three months.
00:00:07Increasingly, business owners are genuinely making decisions
00:00:09about who to hire, who to fire, and who to promote
00:00:12based on their level of AI fluency.
00:00:14And if you do, in fact, happen to own your own business,
00:00:16there is also a widening gap between businesses
00:00:18that are using AI properly and businesses that are not.
00:00:20So this video is split up into five distinct phases.
00:00:22There's timestamps for everything down below,
00:00:23and let's get into it.
00:00:24Phase one is building your foundations,
00:00:26and this is gonna be week number one.
00:00:28Now, before you try and do anything clever with AI,
00:00:30we just need to make sure that we have the habits and tools
00:00:32appropriately set up for us to actually remember
00:00:35to actually use it.
00:00:36I consider these things non-negotiables
00:00:38for everyone in my team, and so if you skip them,
00:00:40I think your life will be a lot harder than it needs to be.
00:00:42Foundation number one is use AI for everything
00:00:44that you were initially thinking of using Google for.
00:00:46My personal preference is Claude by Anthropic for most things,
00:00:49but you can use Chad GPD, you can use Grok,
00:00:50you can use Claude, you can use Gemini,
00:00:52whatever seems reasonable,
00:00:53whatever you already have access to.
00:00:54Foundation number two is always have that particular website
00:00:57open in a pinned tab,
00:00:58because the habit we wanna be developing
00:01:00is basically always having some kind of AI chat window open
00:01:03on your screen or whatever
00:01:04with literally everything you're doing.
00:01:06Foundation number three is to use your voice
00:01:08rather than your keyboard.
00:01:09There are also things like WhisperFlow
00:01:10and the built-in dictation on Windows and Mac,
00:01:12and also there's now built-in dictation
00:01:14into most of these AI tools,
00:01:15and you will find that if you are speaking to the AI,
00:01:17you can generally speak a lot faster,
00:01:19and you can generally ramble a lot more
00:01:21compared to if you are trying to type.
00:01:22And honestly, this one habit will absolutely transform
00:01:25how much value you get from AI,
00:01:26so if you're not using it already,
00:01:28then feel free to get started.
00:01:29Foundation number four is to download the mobile apps.
00:01:31This means you can use AI again as a Google replacement
00:01:34or as a thinking buddy wherever you are in the world,
00:01:36because you always have your phone on you.
00:01:37You can use it while walking, you can use it while commuting,
00:01:39you can use it while on the sofa.
00:01:40If you're on the toilet, you can talk to the AI.
00:01:42If you're in bed and you're one of those people
00:01:43that brings their phone into bed with you,
00:01:45I don't recommend it,
00:01:46but you can talk to the AI in bed if you really want to.
00:01:47And then foundation number five
00:01:48is to automatically record your online,
00:01:51and ideally as well your in-person meetings.
00:01:53So you probably do Zoom calls or Google Meets
00:01:55or that kind of thing,
00:01:56but there are loads of free AI tools
00:01:57that let you automatically record
00:01:59and transcribe those Zoom calls.
00:02:00The one we've been using for the last five years
00:02:02is called Grain, and if you want something free,
00:02:03then Fathom is usually one that I recommend.
00:02:05Okay, so that is it for week number one
00:02:07of learning how to use AI,
00:02:08getting these five foundations in place.
00:02:10If you're watching this
00:02:11and you haven't done any of these five things,
00:02:12100%, I'd recommend pausing the video, doing those things,
00:02:15and then coming back,
00:02:15because all of the rest is gonna build on this foundation.
00:02:18Phase two is using AI as your coach,
00:02:20and this is gonna be week number two.
00:02:22Now this is where we're actually gonna start using AI
00:02:24in a meaningful way beyond just being a Google replacement,
00:02:27but the key thing to know is we are not yet asking AI
00:02:29to do our work for us.
00:02:31We're asking it to help us think better
00:02:32about the work that we are already doing ourselves.
00:02:34For example, on my team, we've got Nicole,
00:02:36who's our social media manager,
00:02:37responsible for growing my Instagram.
00:02:39Now Nicole could go to Chachapiti or Claude or whatever,
00:02:41and she could say, "I am a social media manager
00:02:43"tasked with growing an Instagram profile
00:02:45"from 1 million followers to 1.2 million followers
00:02:48"in the next 90 days.
00:02:49"The account belongs to productivity YouTuber Ali Adal.
00:02:52"What are the highest leverage things I should focus on?
00:02:54"What mistakes do you see people in my role commonly make?
00:02:57"What questions should I be asking my manager
00:02:59"to make sure I'm set up for success?"
00:03:01Or for example, we have Geo who's one of my team members
00:03:03who leads our student success
00:03:04for our Lifestyle Business Academy,
00:03:05which is our like online business mentorship program.
00:03:07And she could say, "I run student success
00:03:09"for a high ticket business mentorship program.
00:03:11"Currently the biggest thing our students are struggling with
00:03:13"is defining their niche and coming up with a reasonable offer
00:03:16"within a two week period.
00:03:17"We find that a lot of them tend to overthink
00:03:19"and overanalyze before taking action.
00:03:20"How could I be thinking about
00:03:22"how to solve this particular problem?"
00:03:23And then to use an example from my own life
00:03:24as the business owner,
00:03:25I might go to Claude and say something like,
00:03:27"My goal for 2026 is to grow our business's revenue
00:03:30"from $5 million to $10 million.
00:03:32"And I think the biggest lever we have for that
00:03:33"is our new Lifestyle Business Academy product.
00:03:36"Can you interview me?
00:03:37"Ask me a bunch of questions and help me figure out
00:03:39"what are the key levers I should do
00:03:40"as it relates to annual planning
00:03:42"and quarterly planning for 2026?"
00:03:44And so if you don't have your own like coach
00:03:45that's helping you with your job or a business,
00:03:47or even if you do,
00:03:48like I've got a couple of coaches that I work with,
00:03:50it's still very helpful to use the AI
00:03:52as a kind of thought buddy/coach
00:03:54to be able to ask you questions
00:03:56that can then help you come up with insights
00:03:58that can help improve your performance
00:03:59at your job or your business.
00:04:00Now, this is where the fact that we are recording
00:04:02all of our calls then also really helps.
00:04:04For example, you could have a team meeting,
00:04:06you could have a meeting with your manager,
00:04:07you could have a meeting with your direct report,
00:04:08and you could take the transcript of that call
00:04:10and you could ask the AI to give you insights
00:04:12based on that call.
00:04:13So for example, Nicole, who's in charge of my Instagram,
00:04:14could say, "This is a recording of a conversation I had
00:04:17"with my manager, Angus, where he was coaching me
00:04:19"on how I can be thinking about our Instagram strategy better
00:04:21"based on this conversation.
00:04:23"Can you suggest a curriculum for me to follow
00:04:25"over the next two weeks to improve my skills?
00:04:27"That would be a totally reasonable thing to do."
00:04:28If I've done a coaching session with our students
00:04:30in the Lifestyle Business Academy,
00:04:31the whole thing is recorded and transcribed
00:04:33so I can then chuck it into AI,
00:04:34and I can say, "This was a coaching session
00:04:36"that I ran for my students
00:04:37"in my Lifestyle Business Academy.
00:04:38"Based on the transcript,
00:04:39"I want you to tease out the key themes that came up,
00:04:41"the key struggles that the students were struggling with
00:04:43"so that I can use it to help improve our core curriculum.
00:04:45"And while you're there,
00:04:46"please do give me feedback on my own teaching style
00:04:48"and any blind spots that you notice."
00:04:50Another really useful prompt
00:04:51is you can literally ask the AI
00:04:52to interview you about your job.
00:04:54You could say something like,
00:04:55"I want you to interview me
00:04:56"about what I actually do in my role
00:04:58"and help me identify what's high leverage
00:05:00"and what's probably a waste of time."
00:05:01And I guarantee that if you just use that super simple prompt
00:05:04with literally any job that you have,
00:05:05you could probably find ways to actually just do a better job
00:05:08and waste less time doing things
00:05:09that really don't move the needle.
00:05:10Oh, by the way, if any of this stuff is confusing,
00:05:12don't worry, we've got a link down below
00:05:13to a totally free Google Doc,
00:05:15which is like an AI getting started curriculum
00:05:17that you can just download, copy into your own Google Drive,
00:05:19and you can just like follow it along if you like.
00:05:21Now, obviously we wanna give the caveat
00:05:22around AI limitations.
00:05:24Yes, the AI is cool.
00:05:25It's really helpful to have as a thought partner.
00:05:26But the way that I think about the AI tools
00:05:28is that it's sort of like having a very smart colleague
00:05:31who reads a lot of books,
00:05:32but who doesn't have much context on anything
00:05:34other than the knowledge that they've gotten from books.
00:05:36And so it's very useful to be able to talk to that person
00:05:39to kind of mirror your own thoughts or ask you questions
00:05:41or help you think deeper about something.
00:05:43But I would be very careful about taking its advice
00:05:46and treating that advice as gospel.
00:05:48Like you really wanna make sure that the advice,
00:05:50that you actually agree with the advice
00:05:52rather than just blindly following what it says.
00:05:54So by the end of week two,
00:05:55if you're following along with this method,
00:05:56you should hopefully have by this point
00:05:57the habit of turning to AI whenever you're stuck with anything
00:06:01in your personal or professional life.
00:06:02And also even if you're not stuck
00:06:04just as a way of optimizing your performance
00:06:05for whatever goals you wanna work towards even more.
00:06:07But by the way, if you've made it this far into the video
00:06:09and you really wanna nail your foundational understanding
00:06:12of AI rather than just knowing how to use the tools,
00:06:15then one way I found super helpful for doing this
00:06:16is Brilliant who are very kindly sponsoring this video.
00:06:19I have been using and loving Brilliant since like 2019.
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00:06:31Brilliant has helped me get a foundational understanding
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00:06:41And recently their how AI works course
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00:06:45And they basically break down how large language models
00:06:47like ChatGPT actually function behind the scenes,
00:06:49which is A, incredibly fascinating.
00:06:51And also it helps you actually use AI better
00:06:53when you understand how it works.
00:06:54The other cool thing about Brilliant
00:06:55is that they really focus on problem solving
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00:06:59So yes, they give you content
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00:07:01but then they give you a problem
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00:07:07And that just makes learning way more fun
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00:07:22for a full 30 days, go to brilliant.org/aliabdaal
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00:07:31So thank you so much Brilliant for sponsoring this video
00:07:33and let's get back to it.
00:07:34All right, so now we're moving on to phase three
00:07:36where things get a little bit more interesting
00:07:37because so far we have only asked AI to help us think.
00:07:40We haven't actually asked it to do anything
00:07:42other than that just yet.
00:07:43And phase three is where that's gonna change.
00:07:45So phase three is using AI as your worker.
00:07:48And this is gonna be weeks three and four.
00:07:50So this is gonna be a two-week phase.
00:07:51Now here is where we're gonna get the AI
00:07:53to actually start doing stuff for us.
00:07:54The mistake I've seen most people make
00:07:56is that they will go straight to this phase
00:07:57and they'll say something like write me this Instagram post.
00:08:00And if you do that,
00:08:01the output is probably gonna be very generic
00:08:02and it's not gonna be very good.
00:08:03Instead, I'd recommend thinking about it
00:08:05using the 1080 10 rule.
00:08:07I think I got this from Dan Martell's book,
00:08:08"Buy Back Your Time."
00:08:09This is like a system you can use
00:08:10to delegate stuff to real humans,
00:08:12given that we're basically treating our AI
00:08:14as a very smart intern
00:08:15that we can talk to in a chat window at all times,
00:08:17we're gonna be using the 1080 10 rule.
00:08:19Now the 1080 10 rule is that you are gonna do
00:08:21the first 10% of the job.
00:08:23You're gonna ask the AI to do the middle 80%.
00:08:26And then you're gonna do the final 10% for a taste check,
00:08:28for a vibe check, for like quality assurance on the thing.
00:08:31You absolutely do not wanna be jumping to
00:08:33trying to get the AI to do 100% of the work for you,
00:08:36because that's when you end up with absolute garbage.
00:08:38So let's say Nicole, who's in charge of my Instagram,
00:08:39needs to come up with content ideas for a filming day.
00:08:42That's a core part of a job.
00:08:43The new version of this would be to go to Chajabiti
00:08:45or whatever and say,
00:08:46"Hey, come up with 50 content ideas for my Instagram."
00:08:48But if instead Nicole were to say,
00:08:50"This is a transcript from Ali Abdaal's latest YouTube video.
00:08:52Here are three Instagram reels from competitors
00:08:55that performed really well this month.
00:08:56Here is a current content strategy doc
00:08:58that explains our target audience and brand voice.
00:09:01Based on all this, give me 20 hook ideas
00:09:03that would work as Instagram reels.
00:09:05Focus on counterintuitive takes and pattern interrupts."
00:09:08So Nicole's given the AI a lot of context.
00:09:10She's copied and pasted a bunch of stuff
00:09:11and therefore the AI is generally able
00:09:14to give a much better response.
00:09:15And then Nicole is obviously gonna go through the list
00:09:17of content ideas that the AI has given.
00:09:18And she's not just gonna take all of them wholesale.
00:09:20She's gonna use her own taste and her own discernment
00:09:23to decide which of the ones she actually agrees with.
00:09:25And then what you can always do is you can, you know,
00:09:26let's say you've gotten 20 ideas from the AI
00:09:28and you like five of them.
00:09:30You can just copy and paste those five back into the AI
00:09:32and say, "Hey, these were the five
00:09:33I resonated the most with.
00:09:34Give me 50 more ideas along this vein."
00:09:37And then of the 50 more ideas it generates,
00:09:39maybe you'll like another 10 of them.
00:09:40So now you've just generated 15 content ideas
00:09:43without having to do a lot of the heavy lifting yourself.
00:09:45But crucially, all 15 of those have been human vetted
00:09:47so that they actually have taste and discernment
00:09:49applied to them rather than just being AI slop.
00:09:52Now I wanna do a little tangent at this point
00:09:53about the idea of taste.
00:09:55This is the key thing that separates the people
00:09:57who use AI well from the people who don't.
00:09:59For whatever you're doing for your work or your business
00:10:01or your personal life, you should have an intuitive feel
00:10:05for what is good and what is bad.
00:10:07If you're a total beginner to the thing,
00:10:08you might not have developed that taste yet.
00:10:10But over time, as you become a better professional,
00:10:12you will develop a feel for like,
00:10:13"Okay, this is actually a good piece of content.
00:10:16This is a good sales page."
00:10:17You have this feeling of taste around what is good
00:10:19and what is not.
00:10:20And the biggest issue with AI is that if you are asking it
00:10:22to generate stuff for you, it will produce stuff
00:10:25that hopefully you'll think, "Ugh, I don't really like it."
00:10:30You'll get that internal feeling of like cringe
00:10:32at the output that the AI has produced.
00:10:34That's a very good sign because that means your bar for taste,
00:10:37like what you think is actually good is here
00:10:39and the AI has not quite met that bar.
00:10:41And your job is to give it feedback
00:10:43like you would a junior team member or an intern.
00:10:45So by the end of week four, the whole idea is that
00:10:47if you start doing this with anything
00:10:48that a chat GPT window can respond to,
00:10:50like anything to do with writing or strategy,
00:10:52and you're developing the habit of anytime you're doing
00:10:55anything at all, you're asking yourself,
00:10:57"Could I ask the AI to do this in addition to me
00:10:59so that I can test the response of the AI?"
00:11:02And it's really a process of experimentation and testing.
00:11:04Okay, so at this point in phase three,
00:11:06you're already ahead of most people
00:11:07because you're using the 1080 10 rule to communicate
00:11:10with your AI intern.
00:11:11But the issue is every time you use AI right now,
00:11:14you're starting from scratch.
00:11:15You're opening up a new chat GPT clawed window or whatever.
00:11:19And so instead of starting from scratch every time,
00:11:21what if the AI could actually get better and better over time
00:11:24so that the hundredth time you do something
00:11:26is actually way better than the first time you do the thing?
00:11:28That is where we get to phase four,
00:11:29which is using AI as a system.
00:11:31And for most people, this is probably gonna take
00:11:33around one to two months to get really comfortable
00:11:35with this approach to AI.
00:11:37Now, at this point, I'd like to offer you an analogy,
00:11:38which is imagine that you were baking a cake.
00:11:40You got ingredients in the cake and you bake the cake.
00:11:42And like, you know, you follow a basic recipe
00:11:44and it comes out okay
00:11:45'cause it's the first time you've baked the cake.
00:11:46And now you find yourself having to bake this cake every day
00:11:49because it's part of your job.
00:11:50And over time, you start finding yourself wanting to add sugar
00:11:52at the end of the process
00:11:53because the cake is just a little too not sweet.
00:11:56And so at some point you might ask yourself,
00:11:57"Wait a minute, what if I were to just modify the recipe
00:12:00so that I just added more sugar upfront?"
00:12:02And you look at the recipe and you see the recipe
00:12:04involves one cup of sugar or whatever.
00:12:06You're like, "All right, let me try 1.5 cups of sugar
00:12:08to see if the cake has my desired sweetness."
00:12:11So you give it a go, you add an extra half cup of sugar,
00:12:13and then you see how the cake turns out and you're like,
00:12:14"Oh, that's actually pretty solid."
00:12:16So then you update the recipe.
00:12:18So from now on, you're using 1.5 cups of sugar
00:12:21rather than one cup of sugar.
00:12:22Then to continue this analogy,
00:12:23let's say you realize after a while
00:12:25that, huh, it always seems a little bit dry
00:12:26and I find myself wanting to add chocolate sauce
00:12:29at the end of it just to add that like moisture.
00:12:30You might then think to yourself, "Wait a minute,
00:12:32why don't I experiment with the recipe?
00:12:33What if I were to add the chocolate sauce
00:12:35earlier on in the process?
00:12:36What might that look like?"
00:12:37So you add the chocolate sauce earlier,
00:12:38you experiment with it, and lo and behold,
00:12:40it turns out amazing.
00:12:42And you're like, "Great, I'm gonna update my recipe
00:12:44so that the chocolate sauce is in there every single time."
00:12:47And this is how your grandma's cake recipe
00:12:49ended up being passed down the generations
00:12:50because she probably worked on it hundreds of times
00:12:52and developed that recipe over time.
00:12:54What the hell does any of this have to do with AI?
00:12:56Well, I'm glad you asked because it's the same kind of thing
00:12:58when we are working with AI.
00:12:59The idea is that we are trying to build our own prompt library
00:13:02using prompt engineering.
00:13:03So the very first time, let's say Nicole,
00:13:05our social media manager,
00:13:06the very first time she uses chat GPT
00:13:08to generate content ideas,
00:13:09she might say, "Here is a transcript of some content
00:13:11that my boss Ali Balazs produced.
00:13:13Give me 50 Instagram Reel hook ideas from it."
00:13:15That would be version one.
00:13:16That's version one of the recipe.
00:13:18Then she sees how it goes.
00:13:18She realizes the hooks are a little bit generic.
00:13:20And so she adds to the prompt,
00:13:22"Make sure each hook uses a pattern interrupt
00:13:24or a controversial take.
00:13:26Avoid anything that sounds like generic advice."
00:13:28It's like, "All right, maybe if I just ask the AI
00:13:30to not be generic, maybe it won't be generic."
00:13:31And then she looks at the results of that same prompt
00:13:34and she's like, "Oh, this was actually a little bit better."
00:13:36So then she updates the recipe and calls it version two,
00:13:39V2.
00:13:40Then she notices that the output it's giving
00:13:41is that the hooks are a bit too long
00:13:43to actually be a sentence
00:13:45that I could say out on an Instagram Reel.
00:13:46So then she updates the prompt to say,
00:13:48"Make sure each hook is under 20 words."
00:13:50Again, she tests the output and she realizes,
00:13:52"Oh, wait a minute, that was actually better.
00:13:53So let me update my recipe.
00:13:55Let me update my prompt."
00:13:56So it's now a V4 prompt or V3 or whatever.
00:13:58Then she finds, I give a feedback saying,
00:14:00"I really don't like rhetorical questions
00:14:01'cause rhetorical questions are just never something
00:14:03that I use in real life."
00:14:04And so she then updates the recipe to say,
00:14:05"Make sure you never use rhetorical questions."
00:14:08And that is V5 of the prompt.
00:14:09At this point, Nicole could use an app like TextExpander.
00:14:12She could create a keyboard shortcut for the phrase,
00:14:14I don't know, IGH, Instagram hooks.
00:14:17And then by typing IGH into any kind of text bar,
00:14:19it would automatically expand out
00:14:21and give her the whole prompt.
00:14:22And this would be an example of prompt engineering
00:14:24to generate a prompt library.
00:14:25So in Nicole's case,
00:14:26she would have a prompt for hook generation.
00:14:28She would have a prompt for turning a transcript
00:14:30into a LinkedIn post, for example.
00:14:33She might have a prompt
00:14:33for analyzing a competitor's Instagram account
00:14:36and figuring out what they're doing
00:14:38that we could basically steal ideas from.
00:14:40And so if you were to apply this to your own work,
00:14:42then by month three, you'll have a prompt library.
00:14:45Then now over time,
00:14:46all of these prompts are just getting better
00:14:47because you're able to add more context to them
00:14:49as the workflow changes or evolves.
00:14:51The other thing you can then do
00:14:52when you have this sort of systemized list of prompts
00:14:55in your prompt library is you can start experimenting
00:14:57with different AI models.
00:14:58So maybe you're just using the basic free version
00:15:00of ChatGPT for your hook generation or whatever.
00:15:03But then you think, you know what?
00:15:04Let me try the free trial of ChatGPT Pro
00:15:06and see if ChatGPT 5.1 is any better.
00:15:08And over time, you realize that actually certain models
00:15:10work best with certain prompts.
00:15:11And at that point, you might be like,
00:15:13man, I'm getting so much value from this.
00:15:14I might as well just get the pro subscription
00:15:16to ChatGPT and Claude and Gemini,
00:15:18or ask your workplace to pay for it
00:15:20or whatever the situation is.
00:15:21In my case, I have a paid subscription
00:15:22to all of these things
00:15:23because I find them incredibly useful.
00:15:24At this point, or maybe even before this point,
00:15:26you might have realized that actually there's a bunch of tasks
00:15:28you might need to do in your work or in your business
00:15:30that actually cannot just be done through a text interface.
00:15:33Like maybe you need to create slide decks.
00:15:35And so you can find AI tools for that.
00:15:37There's gamma, there's beautiful.ai,
00:15:39Figma Slides now has some AI generation tools applied to it.
00:15:42The mistake people make here
00:15:43is getting overwhelmed with all the choices.
00:15:44Oh my God, there's a hundred new AI tools
00:15:46coming out every week.
00:15:47How do I know which one to use?
00:15:48It's like, don't worry about it.
00:15:49Find the AI tools that are helping you
00:15:50with your specific use cases,
00:15:52with your work or with your business.
00:15:53Now, everything at this point has required you
00:15:55to be in the loop, but wouldn't it be absolutely sick
00:15:57if you didn't even need to talk to the AI?
00:15:59What if you could just set up a kind of system once
00:16:02and then have the AI automatically running in the background
00:16:05doing the work for you?
00:16:06And this is where we get to phase five,
00:16:08which is AI as infrastructure.
00:16:09This is probably gonna be month number four
00:16:11onwards for most people.
00:16:12And you could spend literally years going deeper and deeper
00:16:14into this rabbit hole.
00:16:15So again, to use Nicole as an example,
00:16:16part of her job is to take transcripts
00:16:18from the YouTube videos that I've created
00:16:20and to figure out what are some of the interesting points
00:16:22I made in these YouTube videos,
00:16:23which we could then film separately as like an Instagram reel
00:16:26or write up as an Instagram carousel.
00:16:28But even if you're doing prompt engineering,
00:16:30prompt library, 1080 10 rule,
00:16:31you are still finding yourself manually doing stuff.
00:16:34And at a certain point you might think,
00:16:35man, we're releasing so much content.
00:16:37I'm having to do this manual repetitive task
00:16:39like for three hours every week.
00:16:41I wonder, is there a way I could automate this?
00:16:43And this is where we get into the rabbit hole
00:16:45of AI automation.
00:16:46And there's like a few different like levels of depth here.
00:16:49So level one would be using AI automation
00:16:51that's built into tools that you're already using.
00:16:54So Nicole might discover for example that,
00:16:55hey, our editors edit videos in Premiere Pro.
00:16:58We use a plugin called Firecut,
00:16:59which is an AI plugin to speed up editing.
00:17:01And Firecut automatically generates the transcript
00:17:03and can automatically just chuck it into a Google drive.
00:17:05Fantastic, that's one step of the process
00:17:07that's already been automated
00:17:08that we didn't really need to do anything for.
00:17:10Then you've got level two,
00:17:11which would be using simple automation tools
00:17:13like Zapier or like maker.com.
00:17:15Basically these are connector tools
00:17:16that let you connect to different apps together.
00:17:18So you can say every time there's a new Zoom call recording,
00:17:21I want you to automatically get a transcription
00:17:23from the Zoom recording.
00:17:24And then I want you to run that transcription
00:17:26through ChatGPT using this particular prompt,
00:17:29which we get from our prompt library.
00:17:30And then I want you to give me the output as a Slack message.
00:17:32You can do that kind of stuff with Zapier or maker.com.
00:17:35Level three is where you graduate
00:17:36to a more powerful automation tool,
00:17:37something like N8N,
00:17:38which I've been playing a lot with recently.
00:17:40Now these give you more granular control
00:17:42over these automations that you're building,
00:17:43but they do require a little bit of more technical knowledge,
00:17:46but you can build much more fancy, sophisticated workflows.
00:17:49And when you're at this phase
00:17:50and you start watching video tutorials on YouTube
00:17:52about how to use N8N,
00:17:53all of that stuff starts to make sense
00:17:55and you start getting way more ideas
00:17:56for what you could automate if you wanted to
00:17:58in your professional or your personal life.
00:17:59The other example could be Gio,
00:18:00who's our head of student success
00:18:02for Lifestyle Business Academy.
00:18:03One use of automations for her
00:18:04that we are currently trying to build
00:18:05is that every time we have a coaching call
00:18:06with one of our students,
00:18:07all of that is automatically recorded by a grain
00:18:10and it's automatically transcribed.
00:18:11So every week, can we run a weekly automation
00:18:13that automatically takes all of the transcripts
00:18:15for all of the students' coaching calls,
00:18:17combines that with the conversation we've had our students
00:18:19based on the Slack support channels,
00:18:21'cause we give all of our students one-on-one Slack support.
00:18:22And then based on its knowledge of where the students are
00:18:25in the lifestyle business building roadmap,
00:18:26based on our own CRM, which we have in Notion,
00:18:29can the automation take all of this data
00:18:30and automatically give us a weekly report for every student
00:18:33that summarizes what are their wins
00:18:35and what are they struggling with
00:18:36and what are the areas where they might need support next week.
00:18:38That will be sick because currently that's a manual process
00:18:40that takes hours and hours every Friday.
00:18:42And if we could automate that work,
00:18:43it would save our coaches a lot of admin time
00:18:45and it would mean that they can actually spend more time
00:18:47talking to the students rather than doing admin
00:18:49and try and sort of put data together all in one place.
00:18:51And then level four of automation is where
00:18:53you're not just using built-in sort of connector tools
00:18:55that drag and drop stuff.
00:18:57This is where you're actually building your own AI apps.
00:18:59You might not be building them to try and sell them
00:19:01to the market because that's actually kind of hard,
00:19:02but you can totally build your own internal tools
00:19:04that you're using within your workplace
00:19:06or within your business.
00:19:07But to be honest, a lot of this is overkill.
00:19:08Mostly for most things, you don't really need to,
00:19:11at least right now, go much beyond like learning
00:19:14how to use Zapier to connect things together.
00:19:15So as you get into this world of automations,
00:19:17you start realizing that like, whoa,
00:19:18this is infinite rabbit hole of things I could automate.
00:19:21And then the discipline becomes basically
00:19:23deciding what is actually worth automating
00:19:25versus what's worth continuing to do manually
00:19:27versus even better, what's a process
00:19:28that you actually don't need that you could just delete
00:19:30from your work or from your business.
00:19:31Now in this video, I've given you a lot of examples
00:19:33of team members of mine, but if you're interested
00:19:35in my own personal workflow for how I actually use AI
00:19:38as an entrepreneur and business owner,
00:19:39then I've got this video over here that walks through
00:19:41exactly how I use AI to create new features
00:19:43for the software that we're building,
00:19:45how I use it to generate content ideas
00:19:47for building my personal brand,
00:19:48and that shares a bunch more data
00:19:49around like the input process output method of using AI
00:19:52to improve your productivity.
00:19:53So that'll be right over here.
00:19:54Thank you so much for watching and I will see you there.