Ultimate AI Masterclass for Founders and Executives 💰| Vaibhav Sisinty | Indian Business podcast

Summary

In the latest episode of the Indian Business podcast by Think School, founder Vaibhav Sisinty dives deep into the transformative power of AI for both businesses and individuals. Highlighting the evolution of AI tools from simple chat assistants to complex AI agents, Sisinty emphasizes the urgent need for individuals and companies to adapt to this technological revolution. With insights into model selection, automation, and AI generalist skills, this episode serves as a comprehensive guide for stepping confidently into the future of AI.

Highlights

• AI is transforming the workforce with agents that can replace traditional job roles. 🌟
• Important skills for the future include AI problem-solving and adaptability. 📈
• Automation tools can save significant time and resources if implemented correctly. ⏱️
• The role of AI isn't just in text but expands to images, videos, and audio. 📸🎥
• Curiosity and constant learning are essential to mastering AI technology. 🧠

Key Takeaways

• Become an AI Generalist to stay ahead in your career. 🚀
• Explore multiple AI models for different tasks. 🤖
• Utilize tools like OpenAI and Zapier for automating everyday tasks. ⚙️
• Implement advanced prompting techniques to optimize AI outputs. ✍️
• Keep up with AI trends and updates to maintain a competitive edge. 🔍

Overview

In an engaging episode with Think School's Vaibhav Sisinty, the transformative potential of AI technology in today's business landscape is explored. Sisinty, known for his innovative approach to education and technology, discusses how AI is not just a tool for automation but a way to significantly enhance productivity and efficiency across various sectors.

The conversation delves into the concept of AI generalists—professionals adept at using AI across different functionalities—and the future implications for the workforce. With a humorous yet insightful take, Sisinty highlights key AI tools and models, recommending that businesses and individuals alike need to learn and adapt quickly to stay competitive.

From automating everyday tasks to creating personal software solutions, the discussion paints a vivid picture of a future where AI is seamlessly integrated into our workflows. Sisinty challenges listeners to reevaluate their skill sets and embrace AI's potential to revolutionize their professional and personal lives.

Chapters

• 00:00 - 03:00: Introduction & Perspectives on AI Sam Altman projects that AI agents are set to become integral to the workforce in 2023, with expectations for advanced systems by 2025.
• 03:00 - 07:00: Growth School & State of Tech Industry The chapter discusses the achievements of Growth School, highlighting its significant growth from a small team to a company with over 150 employees. The school has also expanded its reach globally, with learners from 45 different countries despite having minimal funding compared to other startups. Additionally, it introduces Rebendi, the founder of Growth School, who emphasizes the capability to build products and raise $5 million without knowing how to code. Growth School aims to help individuals become top 1% professionals and founders.
• 07:00 - 11:00: Rise of AI Agents & Impact on Workforce The chapter highlights the growing trend of layoffs in the tech industry as a result of the rise of AI agents. Companies like Amazon, Google, Meta, and Microsoft have significantly reduced their workforce, impacting over 150,000 tech professionals. This situation raises concerns and questions about the future of employment for working professionals amidst these technological advancements.
• 11:00 - 15:00: Geopolitical Impact on AI & India's Position The chapter begins with a discussion on the availability of tools to address various professional challenges, highlighting a specific website where these tools can be found.
• 15:00 - 21:00: AI's Disruption in Software Development & Industry Shift The chapter discusses recent geopolitical tensions influencing technology, specifically focusing on Donald Trump's policies. These policies target China's tech advancements by limiting their ability to purchase GPUs, thus impacting the global tech landscape.
• 21:00 - 25:00: Transforming Business Processes with AI The chapter discusses the transformative impact of AI on business processes, emphasizing that while AI can significantly enhance productivity, it requires integration into well-organized systems to be effective. The idea is that merely applying AI to disorganized processes won't yield beneficial results.
• 25:00 - 30:00: Understanding AI Models & Tools This chapter discusses the challenges businesses face when their stock counts don't match invoices, leading to delays and inefficiencies. It introduces 'ODO,' an all-in-one business management software designed to streamline operations. ODO centralizes various business functions, such as sales, accounting, inventory, HR, and project management, into a single platform, thereby enhancing productivity and data management.
• 30:00 - 35:00: Prompting Techniques & Effective Communication with AI This chapter discusses how apps can seamlessly integrate to keep different aspects such as sales, accounting, and inventory in sync, providing real-time updates on business operations. It highlights the incorporation of AI tools, like Chat GPT, which assist in content creation for websites. AI-powered themes that align with business objectives and smart features for data extraction, such as scanning physical invoices into apps, are also featured. Additionally, the emphasis is on user-friendly interfaces that simplify learning and usage.
• 35:00 - 44:00: Levels of AI Mastery & Practical Implementation The chapter discusses how ODO, a business software, can grow with a company's needs by adding new applications as required. It also highlights the automation of tasks, which saves time on routine work, and mentions that the first application is free for life. This is aimed at encouraging businesses to start using ODO for efficient task management. Additionally, the chapter introduces Weber, a guest on the Indian Business Podcast, and hints at a previous conversation mentioned by the host.
• 44:00 - 47:00: AI Tools & Techniques for Efficiency The chapter discusses the integration of AI in modern applications, highlighting a conversation where an AI enthusiast expresses his amazement at the various uses of AI. The speaker reveals their self-perceived lack of proficiency in AI and considers themselves an amateur despite being on the cusp of modern education and technology. They teach AI similar to how LinkedIn was taught previously and express optimism about its future. Through interactions with the speaker, the other person finds the experience life-changing.
• 47:00 - 54:00: Automation & Building AI Solutions The chapter focuses on the transformation that comes with understanding and implementing AI and efficient systems. The individual reflects on advice received from a person named Reanir, who emphasized the importance of systems and processes over content. This realization led to a deeper exploration of how such systems can be built and optimized, especially through the application of AI, which significantly enhances both speed and efficiency. The chapter highlights the shift in mindset and learning how to apply these insights practically in work environments.
• 54:00 - 60:00: Conclusion & Call to Action The conclusion chapter addresses the impending US recession and its effects on the global job market, notably in the tech industry. As companies like Amazon and Google undertake significant layoffs, professionals are urged to critically evaluate their positions in their companies. With the anticipated spillover effects into industries worldwide, including India, the chapter calls for strategic thinking and proactive career planning for professionals in anticipation of these economic challenges.
• 60:00 - 64:00: Closing Remarks This chapter discusses the impact of a recession on consumer spending and its subsequent effect on major companies in the United States, particularly those in the tech and consumer sectors. It emphasizes that these companies heavily depend on consumer spending, and when such spending decreases, so does their performance and profit margins. The chapter likely concludes with reflections on the broader economic effects and possible strategic considerations for these companies.

Ultimate AI Masterclass for Founders and Executives 💰| Vaibhav Sisinty | Indian Business podcast Transcription

• 00:00 - 00:30 sam Altman in the beginning of the year kind of said that AI agents will enter the workforce this year this year I expect that in 2025 we will have systems that people look at like what agents are the thing everyone is talking about i think for good reason open AAI just announcing an improved model their AI model they say it has better reasoning open AI has got the wind at its back i think India should be doing everything i think India should be one of the leaders of the AI revolution so I can do this without knowing anything about coding i
• 00:30 - 01:00 don't know how to code but I know how to build a product i managed to kind of raise $5 million hi folks my name is Rebendi the founder Gone School Mr webhub growth school is where we make you become top 1% professional/founders and today where does growth school stand i think we've grown 10x the company that started as four five people right now has 150 plus people wow last month we had learners from 45 different countries 45 different countries we are the smallest of all the startups we also have the least amount of funding of all
• 01:00 - 01:30 the startups a LinkedIn top startup family of 300,000 learners amazon has already laid off 14,000 people google has already laid off people and we're seeing this all across the tech industry as a working professional what exactly am I supposed to do microsoft has laid off people across multiple divisions 150,000 tech workers have been laid off of Meta Amazon and others have frozen hiring Amazon today announcing it's going to cut 18,000 workers in this for every
• 01:30 - 02:00 problem right there are tools for it one great place for you to find tools for your problem is there's a website called as if a working professional is watching this episode right now what are the first three steps that they're supposed to take in order to make themselves super efficient I believe that everybody has to become something called as an AI journalist And there are just so many people I feel so sorry so sad for them that they are so stupid that they think AI is all
• 02:00 - 02:30 about chubby if you have read the news Donald Trump is making it impossible for a lot of countries to buy GPUs trump and his team are planning to expand efforts to limit China's tech advancements in pressuring allies to also get in line we are 6 months to one year away from almost all the code to be written by AI all boss the future programming language is not Python is not Rust is not JavaScript
• 02:30 - 03:00 [Music] it's podcast is brought to you by ODO people we've been talking about how AI is revolutionizing the way we work making the average version 10x more productive but here's the truth ai is only as powerful as the systems that we plug into you can't just slap automation onto chaos and expect magic to happen
• 03:00 - 03:30 because if your stock counts don't match your invoices are delayed or your team is jumping between tools just to process a simple order even the smartest tech cannot help you scale but that's where ODO is here to help you out odo is an all-in-one business management software that brings every part of your business together odou offers 45 easy-touse applications like sales accounting inventory HR project management all of them into one clean centralized platform odu helps you manage your business by keeping all your data and operations in
• 03:30 - 04:00 one place all apps work together smoothly so that things like sales accounting and inventory are always in sync giving you a clear picture about your business in real time it even comes with built-in AI tools like Chat GPT to help you write website content it also includes AIP powered themes that adapt to your business goals and smart scanning that can automatically extract data from physical invoices into the accounting app the interface is very very simple and it's very easy to use making it very very quick to learn and
• 04:00 - 04:30 the best part is ODO actually grows with your business so you can add more apps as you need it also automates your tasks which will save you a ton of time on routine work and cherry on the cake is that the first application is free for life so click the link in the description and get started with ODO today hi Weber welcome to the Indian business podcast it's been a long time since you wanted to have you and finally you're here and uh guys just to give you context I have a confession to make about a few days back I was having a conversation with web and I told him
• 04:30 - 05:00 that yeah bro we use a lot of AI so he's like yeah that's amazing and then he started talking and then I realized that um I am an AI illiterate i don't know how to use AI well and I'm an amateur weber you stand at a very very interesting juncture on one side you are at the cutting edge of education on the other side you are at the cutting edge of technology you teach AI now just like you used to teach LinkedIn and you are super bullish about it and like I said I've been speaking to you and it has been life-changing for me i don't use these terms very loosely but I can say
• 05:00 - 05:30 that whatever you've told me about AI and about systems and processes that has been life-changing and the beauty is I spoke to you after I spoke to Ranir and Reanir said "Bro content is not your mode systems and processes are your mode and then while I was trying to build those systems and processes I spoke to you and then it was life-changing because I learned how to build those systems and processes at 10x speed with 100x more efficiency but now I want to understand how does it apply to the working
• 05:30 - 06:00 professionals of the world today because the US recession is real we're expecting recession in the next 3 to four months there is already panic in the market and now everybody's supposed to rethink their position in their own companies amazon has already laid off 14,000 people google has already laid off people and we're seeing this all across the tech industry and we're expecting that once US sees a recession even the Indian tech industry is going to see a recession so my question is as a working professional what exactly am I supposed to do let's break it down right there
• 06:00 - 06:30 are multiple aspects to this one is what happens when a recession arrives the spending power goes down when spending power of a consumer goes down what are the biggest companies out there in the US they're either tech companies or consumer companies right essentially uh deep tech companies or consumer tech companies right and they all rely on some level of spending from the consumers when the consumers goes down when the consumer spending comes
• 06:30 - 07:00 down the appetite for a company to spend on their people directly and indirectly goes down when that happens that leads to layoffs right now in this case right we are in this very interesting time when there's a recession because of multiple geopolitical aspects which I don't want to get into while that recession is happening it becomes a very good reason for people for the companies to adopt a process which is super future-paced and super efficient what
• 07:00 - 07:30 I'll tell you what I mean by that there is this massive rise of AI agents that is happening uh I don't know if you've seen this sam Alman in the beginning of the year kind of said that AI agents will enter the workforce this year this year what does he even mean by that if you break that down right essentially every one of us have used chat GPT Gemini and all those tools right and we think we know all about AI just like me right the problem is that there is a gap
• 07:30 - 08:00 in understanding what AI is capable of what you're seeing as an assistant where you ask a question and you get an answer and that is where it stops as a result you like oh this is cool I asked for a poem for my dog and it gave a poem cool right AI is cool but the real power of AI today as we live is that it has the ability to complete a full task on your behalf you were just talking about operator what does an operator do an operator can use computer on your behalf for example
• 08:00 - 08:30 a few days back right i wanted to get a bunch of ideas on companies that I could probably work on and the best place for me to get these ideas was Y Combinator so essentially the problem statement was I had to go through 5,000 companies data uh and I had to read each one of them check out each one of their websites to see if there is something that I can build like this in India with my expertise that's a lot of context things that I'm good at the audience that I have the ideas that Y cominator has bagged and can I do it in India right a
• 08:30 - 09:00 lot of context had to do it manually chat GPT or tools like this cannot do it out of the box because it cannot pull in so much context cannot do things and I want all of this data on a Google sheet to be filled operator is a great use case for this so I went to chat GP operator gave a very nice prompt uh explaining what I exactly want left it 9 hours later came back with around I think 25 26 companies that I should look at out of 5,000 wow after 9 hours yeah i
• 09:00 - 09:30 mean it took I don't remember overnight I left it okay right only place where I had to be part of it it could be done in like 50 minutes or so i don't know overnight I left it and passed out only place I had to intervene was I had to log into my Gmail account it tells you I don't have access to your Gmail please log in so I logged into my Gmail account so it can create a Google sheet and that's all I did i I left my computer passed out i got 25 startup ideas because it was simple task ai was able to do it or operator was able to do it what does operator do this if I if I had
• 09:30 - 10:00 if I wanted a human to do it right it's a easy 10day job h right and it needs a human to do it but now AI is AI agent is able to this is what an AI agent is a assistant cannot do this assistant can you can ask a question to the assistant it can give you an answer it cannot accomplish a task but an AI agent can this is an AI these are the kind of AI agents for example chat GPD has something called as deep research what does deep research do just like a human
• 10:00 - 10:30 being if you had to research on a topic what would you do go out there read hundreds of articles on the internet make notes of this and all of that right like it takes a long process deep research does exactly that it takes your command breaks it down goes and reads hundreds of articles on your behalf and comes back and comes back and gives you an output that's an AI agent agents like this are going to enter our workforce and these AI agents right are incredibly
• 10:30 - 11:00 powerful already and they're going to only get better right and when these AI agents come in companies have to find reasons to get rid of human beings and get these AI agents to work on their behalf because they can save so much money agents can work 24/7 that is what AI operators can do in 24 hours in a few hours I would not say 24 hours i don't remember the exact number but it accomplished it i don't care how long it took if you get a human being to do the same thing it's going to take five six
• 11:00 - 11:30 hours but the crazy part of this is I was able to replace a human who would be like a you know entry level or like two three years experience basic understanding of startups person to do this job instead I could get an AI agent to do it overnight when I'm sleeping right this is the part that people have to realize and this is what Sam Alman meant that AI agents are entering the workforce this year there are going to be a lot of agents like this like deep research is a great agent which does
• 11:30 - 12:00 research like a human being it when you give a question to it when you give a prompt to it saying I want you to accomplish this it breaks down the task thinks like a human just like we do using something called as a reasoning model uh and I don't want to geek out that there's chain of thought reasoning that kicks in here it breaks down the question thinks like a human being researches hundreds of articles on your behalf and finally gives you a report in let's say 50 minutes 60 minutes sometimes a couple of hours right but that report would take you weeks if not
• 12:00 - 12:30 days for you to do as a regular person correct the lot of agents like this which are entering for example there are business development agents which can do cold emailing on your behalf all autonomous find email ids send people email id reply to people's email everything it can do out of box can you give me the name of these tools so there is one tool that you can use called as artician AI which is for SDRs or sales representatives one more tool where you can build a few agents like this is
• 12:30 - 13:00 Lindy AI which is very very no code of course if you want to go a little geeky then you can go to N8N N8N or crew AI what do you mean geeky in a sense if you know how to write a little bit of code or not even know how to write code but if you're comfortable copy pasting code right because a lot of people look at code and like I can't do this boss I don't know how to write a code I don't I don't know how to write a single line of code I know how to control C andrl V do that enough and what will help you chat GP will so the moral of the story is
• 13:00 - 13:30 that all these working professionals are supposed to learn how to use operator no the moral of the story with the recession point that we're getting to right companies have window to replace humans with technology which is AI agents and that is fundamentally why you will see a lot of these companies like Google and all right are kicking out middle managers senior managers because they are the most expensive human cost that a company can incur right and they have to get rid of it and replace that with as much of AI processes as possible
• 13:30 - 14:00 with recession coming in this is going to compound because there's a reason for a company to save money they also have a need to save money and they also O have a potential solution the companies that are going to do very well even during recessions are probably the air companies like open AIs of the world Google's of the world while the rest of them are going to adopt it as fast as possible and hence the recession in fact this second line of thought right uh I'll come to the India aspect of it which you asked me i think India could be in a very soupy situation could be or
• 14:00 - 14:30 could not be uh there are two variations to it again these are perspectives right i don't know if you have come across this because you're talking about US right if you have read the news Donald Trump is making it impossible for a lot of countries to buy GPUs from Nvidia right and in fact for China he has completely banned it there are a lot of other countries have banned it as well india comes in the level two where he allows us to buy some GPUs but not as many as we want and then level one can buy how
• 14:30 - 15:00 many ever they want why do you think is the reason the primary reason here is Donald Trump doesn't want these countries to build AI capabilities as good as the US capabilities now he'll be like yeah chat GPD to what is the problem let other people build why is Donald Trump being so like uh you know trying to hold all these GPUs and by the way FYI GPUs are the engine for these AI models to get trained on so without GPUs there is no AI right so that is the
• 15:00 - 15:30 hardware part of it why is he doing this because I think he has seen something that most of us have not you see human capital the reason why US or countries expensive countries have to rely on countries like China India and everywhere else is because the cost of human labor is so high there that making an iPhone there end to end would cost the would cost basically 2x the cost of iPhone would 2x so it won't make sense as a result they pass it on to countries where human labor is cheaper now with AI
• 15:30 - 16:00 coming into the picture there is intelligence coming in machines are becoming more intelligent than they ever were now with this technology whoever controls this technology can control the whole supply chain to a point where you can build autonomous factories boss there is real estate in terms of space to set up factories you can set up a factory in desert also and there's a lot of desert they can dig up a hole and put it underground also that space is not a problem the problem is people are going to work in those
• 16:00 - 16:30 factory but if there is a technology that is existent or that could be built where humans won't be needed to build a factory or to run a factory then a country like us doesn't have to depend on a country like China to build their products correct because the biggest arbitrage is the cost arbitrage yes and that is controlled with AI so whoever builds that technology first will control the power so do you think Trump is trying to consolidate all the manufacturing powerhouse within the
• 16:30 - 17:00 United States through AI i think so i I that is how it looks like because I'm sure uh he has seen the dark factory videos yeah bro those dark factory videos are just insane like I saw this video where there was barely any light yes and they're like why are there no lights in these factories because there are no humans there is no need of light because there are no humans and bro it was mad like it was mindblowing now in fact Elon
• 17:00 - 17:30 Musk even says that the cost of producing a model S is 65% cheaper in Shanghai than in the US which is why even though Trump has imposed tariffs what he's essentially doing is punishing the consumers of America because he doesn't want them to buy Chinese goods problem that if there's a $1,000 iPhone It's not an uncle in Beijing who's going to pay another $100 for it it is Karen from New York who's going to pay another
• 17:30 - 18:00 $100 and because of this the US companies are helpless they cannot do anything because of two reasons a even if Chinese phones cost $1,100 they can't do anything about it because their products cost on the upwards of $1,500 so they can't do anything about it number two is that they still have to buy raw materials from China and China in return has also imposed tariffs because of which raw materials have become expensive so the
• 18:00 - 18:30 American products have become even more expensive so tell me something i understand this whole vision of making America great again but how does it make sense in the present day world and more importantly how does it make sense for India what are we supposed to do in this drama between America and China yeah uh the tariffs reciprocal tariffs have not gone live yet right across the board and like we were discussing China doesn't have a lot of tariffs yet I think it's a
• 18:30 - 19:00 bait card that Trump is using at this point of time right it looks it looks like a great leverage point to have conversations with a lot of lot of countries right but I don't know if this will actually go through because it's a net net destroyer of economy then uh uh advantage right that's what economists say based on what I Understand now where does India sit with this equation what does India exports the most software services pharmaceuticals auto parts jewels jewels jewelry is
• 19:00 - 19:30 number one diamond yeah d everything around gold jewelry is number one pharmacy is number two pharmaceuticals is number two the third is IT the biggest of that is IT no no it's not it's a third it's not it's the third largest actually it's third largest yeah in terms of exports globally not just to us i'm talking about global okay okay okay all right global exports not US exports i don't know of US uh export numbers but it is major right why were countries relying on India to export it
• 19:30 - 20:00 cost arbitrage it always the whole world trades because of arbitrage correct the cost arbitrage is that one engineer in the US will cost you 60 lakhs per year minimum that same engineer in India will cost you eight lakhs as a result companies in India can charge the US companies five times 40 lakhs and US companies will be more than happy to pay because they're still getting a 40% discount right this was the arbitrage that existed that led to I don't know
• 20:00 - 20:30 how many billion dollar industry uh it is today tcs Vipro Accenture all of this right that led to the development of China and India in fact China became a superpower because of this cost arbitrage yeah it's it's a cost arbitrage that led to everything now with just it right we are getting into soupy waters i'll tell you what I mean by that again I'll go back to the same topic of recession and AI agents right have you heard of tools like cursor wind surf bolt no these are all AI agents which are
• 20:30 - 21:00 specialized to write code openai's new model 03 is so freaking good with code that it can write code like as if it is the top 200 developer in the world so if it goes into a competition in the world it will be in it will be ranked top 200 and it's an AI model that basically means every company can have thousands of engineers who are the best engineers in the world that is 03 that's an AI model india makes money by writing code
• 21:00 - 21:30 and shipping software if a company in the US instead of relying on India or Indian labor or Indian engineers to build a product if they can rely on an AI agent which is built on O3 which is one of the best coders in the world would they need India anymore okay you know what maybe they still need India because these AI agents don't operate all by themselves there is human in the loop but with an AI agent you can write
• 21:30 - 22:00 code 10 times faster i'll tell you one interesting thing in the last weekly business review with my engineering team I asked a question what percentage of code today inside of growth school is written by you guys that is you manually write it and it is and what percent is written by AI the average answer was 65% of the code today is written by AI and mind you when I say this the 03 model which is the holy grail model that I'm talking about is not available for general public yet we're using a 2-year
• 22:00 - 22:30 old AI model that's insane bro right antropics uh which is which is uh which is a company that runs Claude Antropic the founder recently said we are maybe 6 months to one year away from almost all the code to be written by AI all all the code almost all the code to be written by AI as in we as in claude or the world okay bro I'm telling you 70% 60 to 70% of the code in my company today is
• 22:30 - 23:00 written by AI why combinator did a survey where almost in a few companies 90% of their code is already written by AI and the models that all of us are using today is a two-year-old model when a new AI model comes in and this agent is only going to get better at doing stuff you need a human in the loop best case if you think about factories right most of our factories had the ability to be autonomous already aeroplane can fly without a pilot yeah but we still have a
• 23:00 - 23:30 human because we believe in human in the loop that is we somehow believe that if goes down pardon my French a human can save which has happened a lot of times and we've got saved a lot of times as well the reason why we have humans in a factory even though it's fully autonomous is because we wanted a human to turn on the switch turn off the switch and kind of look at the machine to see that oh everything is going okay okay fine that's the job we are getting to a point where we are believing the system to say I don't need a human in the loop in these technologies but the human in the loop element is going to
• 23:30 - 24:00 come in code right now one person can write code equivalent of 20 people at a quality of a best engineer correct would companies still rely in Indian companies to write code anymore would they need it that's a big question now there's a debate that comes on the other the answer could still possibly be yes but then with very less workforce at what cost h the cost of communication is more expensive than you getting it done you know today if you want to build products in fact I'll send you some links you can
• 24:00 - 24:30 link them up right I have built full-fledged solutions I don't know how to write code in two three hours you tell me a problem today that you're facing while running things cool and if there's a solution and you can imagine that web I wish there was this tool that could do this you can build that in 3 hours today 3 hours 3 to 5 hours max a good strong MVP which can do 70% of the things the tools if someone wants to go and explore in your team or anyone are listening to this there's a tool called as lovable.dev so I can do this without
• 24:30 - 25:00 knowing anything about coding no you do you know how to communicate can you tell what you want that's all it matters boss the future programming language is not Python is not Rust is not JavaScript it's English so you should subscribe to communication masterclass guys it is English and it is communication quite frankly because there is this word that you must have that has been thrown around all the places right prompting prompting prompting what the hell is prompting prompting prompting is all
• 25:00 - 25:30 about articulating what you want in the best form so that AI can understand what is the language of prompting english got it bro I've got three questions over here and I lay it down in front of you and then you can choose to answer them in whatever sequence first question now I've understood that because of this trade war regardless of what happens one outcome is recession and even if recession doesn't hit the roof at least companies will look at cost cutting yes this cost cutting will trigger an efficiency exercise and this exercise
• 25:30 - 26:00 will lay off a lot of people and it will push the companies to turn existing employees into super efficient employees yes the instrument to do that is AI yes got it now this instrument of AI for different people are different things so if a working professional is watching this episode right now what are the first three steps that they're supposed to take in order to make themselves super
• 26:00 - 26:30 efficient i believe that everybody has to become something called as an AI generalist now what are these AI generalists right ai generalists are these people who can solve problems using the power of AI what do companies look for in people they are always looking for people who can solve problems now with AI journalists people will companies will look for people who can solve problems with AI why because it could be 10 times
• 26:30 - 27:00 faster 100 times more efficient and if there's anybody sitting in a job today and you're realizing that boss this is going to hit you like nothing else has ever done you have to start leveling yourself up as an AI generalist to this right uh I have done this exercise internally with my team with with around 20 25 people over the course of last 9 months so there's a road map that I laid out for the team I'll try to lay that out lay that out for you so that people can kind of pick that up there is a level zero to this level zero is where
• 27:00 - 27:30 you kind of define your perfect toolkit I'll explain you what I mean by that a tool you have 10 things that you do at your work every day and when you Look at those 10 things right you would know that these are seven things that AI I can take use of AI right now to do it much faster much better to I to solve those seven problems there are hundreds of tools out there there could be a chat GBD there could be a Gemini there could be a claude which are very general purpose tools to very specific tools let's say you do a lot of work on Excel so there's a tool called as numerous
• 27:30 - 28:00 just to understand this better so the first step is for me to jot down all the tasks that I do yes the second step is to identify merely through human judgment as to which of these tasks could possibly be done by AI yes then the third step is to go and find tools to do each of these tasks correct correct so when you go out to look for tools right the problem is because there's so many tools out there you will fall into this pit of which tool do I use where there's always a new tool coming in so the solution to that is to
• 28:00 - 28:30 define your AI toolkit okay explore a lot of tools figure out what works for you and hold them very close to you and go very deep into those but when you say explore these tools the problem is that the exploration never ends and I've been into that uh pit where you know every day there is some of the other Instagrammer who'd come and say this AI tool does XY Z and I'm like bro and I'm not saying that they are bad tools i'm saying that they are great tools but then all of them are great for example for a thumbnail designing tool we looked
• 28:30 - 29:00 at so many tools we just happened to stick with one but then the other day my editor came to me and said that you know this tool is better but the only difference between both the tools is that I spent more time with this tool and less time with this tool similarly he spent more time with the other tool than he did with my tool that is exactly why I'm saying find a tool that you're comfortable with go deep okay so rather than losing your focus and say that oh next big thing next big thing next big thing because the next big thing is not the next tool but the problem over here is that GPD3 is not as good as GPD 4 a
• 29:00 - 29:30 problem that let's say I choose a tool which is GP3 level and then tomorrow there's another tool that comes out which is GPD4 level mhm but they both are on the same tools chad GPT you've got 3 four 4.5 so you can understand but with these tools you don't know which models are smarter because A you're not a techie b with time the tool which is GPT3 level gets better but when you start with a GPT4 level tool it doesn't look that good so how do you identify
• 29:30 - 30:00 and how do you make sure that you always are at the cutting edge of whichever model is the best i'll get to that i will get to that that's why we're at level zero okay level zero is for us to find a toolkit that works right now for us right now right now right that solves an immediate problem that is I'm more efficient at work right away in this for every problem right there are tools for it one great place for you to find tools for your problem is there's a website called as there is an AI for that.com
• 30:00 - 30:30 okay okay you go there and search let's say excel is your problem you spend a lot of time on excel and you want AI to help you with excel you can just search for excel there'll be 100 tools there look at the one which has highest number of votes okay pick that tool up the other Great place for you to identify if the tool is good or not is to go to product hunt search for that tool they must have launched it look at the review of those tools what is product hunt product.com is a platform where founders go to launch their products okay it's a public forum let's say I built let's say
• 30:30 - 31:00 I built a thumbnail designer right i will go and launch saying that hey I built a thumbnail designer this is state-of-the-art with that being said there will be other thumbnail designers who have launched there as well and their consumers are also here so people who have used other tools like other thumbnail designers would also rate this and they'll be like I saw this tool good but I found this tool to be better than that so you'll get a highle picture to for a starting point on which tool you want to start with let's say for Excel there's a tool called as numerous which is a co-pilot for Excel let's say you
• 31:00 - 31:30 want to make presentations a lot of people spend a lot of time designing presentations you can use a tool like gamma which can generate out of box for research like we discussed there's chgd deep research there's grock research in fact there's a free tool for research which is Google deep research no tool comes closest to that but people don't know about it because really do you think Google deep research is better than chat deep research yeah I'll tell you why I'll tell you the logic of why is the backbone of deep research internet what search engine is chat GPD connected
• 31:30 - 32:00 to Bing What search engine is Google uh Gemini connected to google but Gemini is too bad bro with the 2.0 model that has come in right now it's phenomenal okay check it out okay right and a lot of people in deep research right you want every corners to be covered well the quality of output in terms of how it has written the copy you might like chat GPD better purely because of its text generation
• 32:00 - 32:30 models and empathy and all those aspects of it and 4.5 is very good when it comes to emotional intelligence gemini might not be as good but what do you do research for you want depth nothing can go as deep as Gemini because I have done this activity same assignment or the same project on Chad GPD deep research on Grock deep search on Gemini uh deep research and on perplexity deep research same thing the most extensive documentation I've got is
• 32:30 - 33:00 the Google deep research and I'll tell you what chat GPD referred to 40 resources 40 sources Google referred to 350 sources now you might say that web hub we are if doesn't mean that high number of resources would mean high quality of content No it does it does in research it does because it's a intricacies that you have to capture correct i want to understand an important point that I want you to establish in fact anonym is in some cases better than charge or
• 33:00 - 33:30 gro which tool is best for what so there is no tool that is best for anything i'll tell you why because I I'll tell you this is the response that I was dreading i I I I'll tell you why and I'll tell you how you can find your right answer also the foundational problem that people make is with prompt okay your output is as good as your input right a lot of people screw it there few machines are good with comprehending your question better as a
• 33:30 - 34:00 result it expands to a better output but if you give a high quality prompt to everything that is when there's a level playing field okay did you understand understood with that being said as a consumer what do I value more is what matters for example when it comes to writing style Claude was hands down better than everything else was was till GPD 4.5 dropped gpd 4.5 dropped a few weeks back a month maybe and it is purely trained
• 34:00 - 34:30 to do good writing it has emotional uh intelligence it has character it understands what you mean right better than it understands sarcasm all those aspects human elements come into the picture as a result GBD 4.5 right now is the best writing tool but 4.5 is not free you need a paid version of chity for that so what is the best tool right now cla because you can use the free version of it got right same with deep research deep research also goes back
• 34:30 - 35:00 into how good a prompt you can write when you write a very detailed prompt on exactly what you want there are two ways of writing a prompt right one is that you say hey do a research on US recession and tell me give me a report that is the worst prompt that you can write instead you say I'm I'm making a YouTube video on US recession I want to cover all the sides the impact of US economy or the impact that it will have on Indian economy why is that happening
• 35:00 - 35:30 is there a bias of AI is there a bias of war that is happening on the other side is there an impact of Trump was there something that Joe Biden did because of which this is happening you expand your understanding on what you want to do right and then you put a prompt out you're giving it more surface area to think and give you a better output got it in these cases I have seen deep research of Google doing better because it goes into those trajectories better it also uses a reasoning model which has
• 35:30 - 36:00 a ability to think like a human and reads up and gives you a much more extensive document got it so for research Google deep research is better for understanding it's free okay and it's free so for research Google deep research is better for writing style understanding claude was better but now Chad GPD 4.5 is much better and what about Grock what does Grock specialize in grock's unique edge is that it's built uh by Elon Musk who owns Twitter
• 36:00 - 36:30 so no other platform like chat GPT or Antropic or Gemini has access to Twitter data but how is that a good thing because Twitter is full of crap but it also is the place where the most recent news kicks in first but who is to say that that news is relevant perspective bro perspective but how is that possible because bro I know so many pages which just put out fake news just for living no no there is community notes that have come in that handles it so I'll tell you what I mean by that any platform who who who are these AI assistants catering to
• 36:30 - 37:00 humans right what is Twitter built on ugc what do we like to see we like and a social network understands what we like to see better than anybody else does so it understands a human being better than a non-social network platform i think that is where Grock does well it kind of somehow right manages to understand your request better and gives you an output that you could relate to now is that
• 37:00 - 37:30 based on bias possible no because my argument is that uh it makes sense if it is about just telling me what people like so Twitter is actually trained on all the propaganda all the crap all the hate and when I ask Twitter a question I'm expecting it to give me a accurate answer which is by definition supposed to not have crap not have hate not have bias and not have fake stuff which is everything that Grock is trained on so
• 37:30 - 38:00 that is not how it works basically it's not just the information that it's trained with first of all Grock is not only trained with Twitter data so what happens in these large language models is there is unsupervised learning that happens there's supervised learning that happens and then there is reinforcement learning that happens i'll explain you what it means by that every model could be slightly different but high level there is uh you basically pull out all the content on the internet that you can get hold to books movies everything
• 38:00 - 38:30 possible every form of text possible and you just shove that content into the AI model saying read read you don't give context you don't tell what a cat is what a dog is you just say read read and understand what you're able to understand that is basically unsupervised learning Next stage once this is done then comes supervised learning where what you do here is you basically say you give some level of labeling some level of direction this is
• 38:30 - 39:00 good this is not good this is right this is not right but highle labeling you say basically uh it's like giving it books in some form of fashion right again this is called supervised learning where you're directionally telling what it is rather than just throwing data at it then comes reinforcement learning this is very important step and this is what makes an LLM an LLM Right here what happens is now the switch flips let's say you're an LLM i was just giving you data so far unstructured data then I give you
• 39:00 - 39:30 some structured data right in the most layman way possible then I'll tell you you studied everything now I'll ask you questions you give me answers in reinforcement learning what happens is I ask the AI a question it will give me three answers or four answer whatever that is and as a human in the loop there's a human in the loop here with most of the other models uh the human kind of rates if which of these are the most accurate answers this is
• 39:30 - 40:00 reinforcement learning that happens and on top of all of this there is something called as parameters that kicks in you basically the model okay these are the characteristics that you should have it's like telling a human being be nice be kind this is not right don't do this this is right do this you those are in a way parameters that you give just because you're trained let's say you just because AI is trained with hundred very negative suicidal books ai doesn't
• 40:00 - 40:30 become suicidal because reinforcement learning kicks in where you kind of giving it feedback back saying this is right this is wrong but in this case with Grock while everybody had finite amount of data Grock I mean Twitter also has finite amount of information but it has more information than everybody else did which is still valuable because more input more quality input leads to a better model the second aspect to it is the reason why it chooses to be haywire
• 40:30 - 41:00 and chooses to say whatever it wants to say is because Elon Musk decided to have those parameters set like that if charge wants to be like very rude which Grock is right now right it can be they have to just turn the parameter on saying no filter of being nice being kind being empathetic not not going to talk about elections not going to these are the rules that were set to chat GPT these are the rules that are not set to Grock but the quality of output I think
• 41:00 - 41:30 you have to give it to the engineers that are working on grock is that at the least amount of time they were able to pull through a model where the quality of output is so good that we're having this debate today so long story short have a toolkit of all the AI tools i'll just summarize this because it's been some time level zero level zero find tasks find AI for the tasks research through which AI is the best and then zero down on it done about level one now for you to unlock the next
• 41:30 - 42:00 layer of win you truly have to be a problem solver right for that you have to learn a few things level one and level two is where you learn now that you use the tools it's like an app you can use it it's easier you do all of that this is where you start going deeper in level one and level two your fundamental job is to understand all the AI models out there not the AI tools ai models ai models out there okay right like what how does Chad Gypty work what
• 42:00 - 42:30 is GP 4.5 just like what we discussed yeah what is 01 you're using Chad GP right now you don't care which model you're using at level zero topic five right here you have to understand where to use a reasoning model where to use a non-reasoning model where to use this agent where to use a open-source model if there is an open source model how do I run that model things like that what are the models out there i mean essentially here you go deeper right like uh it's a good question
• 42:30 - 43:00 i think the solution to this is being extremely curious instead of letting chat GP go at uh this saying that default I'm going to use that you start changing those options playing with it asking it different questions reading about it and that will give you direction there is no other way basically iteration iteration and testing like level one this still gives me an understanding of what is the difference between chubity 3 and chity 4
• 43:00 - 43:30 basic understanding answers for example in deep research it takes you um 10 15 minutes to extract the output but once you extract the output that output is just too good okay you can see all those sources and quite evidently it is different from the output that charge gibrity 4 would give you right and that input is again different from what charge jubility 3 would give you but you mentioned understanding models what do you mean by that and how can a non- techy person like me do that let's say tomorrow you're meeting a hypothetically
• 43:30 - 44:00 an investor who wants to invest in things school okay and you want to be prepared for that how would you use chat GPD for this i would first break down why exactly am I having this meeting in the first place if I'm having this meeting just to understand what is the value of my company or let's say no you've decided that you want to raise capital i want to raise capital you want to raise $10 million from this investor the investor has shown interest this is your first conversation not a pitch first conversation with the investor and you have never spoken to an investor before in your life the first thing that
• 44:00 - 44:30 I would do is research to understand what exactly do investors find value in by asking Chad what where would you ask Chad 4.5 okay why 4.5 because I know that it's the best okay got it huh how do they seek value in a particular company that's step number one then I'll get some parameters then I'll go and evaluate whether my company stands by those parameters or not mhm once I understand that then I'll feed all the
• 44:30 - 45:00 data about my company to charge and ask what do you think then it would give me some output and then on the basis of that I would say if you are this investor what are the questions that you would ask me beautiful and then I would prepare for those questions then I would ask Chad ji to be extremely rude and ask complex questions which I would possibly not know the answers how would you do all of this who would you talk to in this just chat jubety 4.5 and I've done this for a few of my podcast i'll not take the name of the guest but you get what I'm saying right i would just ask
• 45:00 - 45:30 JB to ask me all sorts of debatable questions complex questions that I would not understand and then I would try to answer those questions properly eventually I'll ask for judgment once that is done then I'll get into the next step for example the investor would ask me "What would you do with these $10 million?" Sure the investor will try to bog me down by asking for a lesser valuation mhm the investor will just u ego boost me into believing that uh
• 45:30 - 46:00 he's the best and I'm the best and we both should do business so then I will look at all the evil tactics that the investors use then I will also look for the red flags in the term sheet for example doesn't work like that because I'm assuming no assumption assume what if he says no I like it on go on bro 100 crores take it or leave it sure you got the term sheet what would you do then I
• 46:00 - 46:30 look for all the red flags in terms will look for it i will ask Chad gi how does the term sheet look like a B I'll feed sample term sheets and then I'll ask for red flags and then I'll I'll also ask for all the red flags that a term sheet could possibly have for example there's a term sheet make criteria which which says that the investor can decide to sell the stake of the founder yes after a certain point if the founder doesn't achieve XY Z revenue the investor has all right to just take up all the stake of the founder by themselves and they
• 46:30 - 47:00 also have the right to fire the founder and deploy new management so I know all of these things so I will note down all the red flags how will you find them in your term sheet uh I will feed the term sheet to CHBT okay now I will tell you a problem that comes your term sheet is 450 pages we can still feed it to CHP no you can't why it there is something called as context window okay uh and there's a cap of context window if I'm not wrong chat GPTs most of the models comes with 128k uh tokens so it will not
• 47:00 - 47:30 be able to take more than 40 pages of information hypothetically more than 40 pages it will say the file size is too large or the amount of text is too large and if you try to break it down and send small small chunks it will forget it will forget there is something called as context window of every all of these large language models right context window is something like memory AI has very short memory right it can only remember so much have you ever realized when you're talking to AI on chat GPT sometimes it says the window is getting too long start a new chat why does it
• 47:30 - 48:00 say cuz it's going beyond the amount of things it can remember about this window if you go beyond it right it'll stop forgetting the things that you have said in the top basically chibi is like gajjini not gajjini it can remember forever but only up to 120k tokens okay sorry guys pardon my non-technical language so it will not work okay this is why level one now I'll tell you if you knew if you have done level one level two what you would have done
• 48:00 - 48:30 in level one and level two like I said right you need to know which model to use and how models work if you knew how models work you would have known that you could not have uploaded just the PDF as is because it would not work if it's a 10-page PDF it will work or else it will not work if you would have done level one level two properly that is you've gone through that journey you would have known you should not have gone to GPT 4.5 but you probably should have gone to 03 high or a 01 pro or one of the reasoning models or a deepseeek R1 or a Gemini deep thinking model why
• 48:30 - 49:00 4.5 the reason why you need to know the models is GPT 4.5 is a text generation model that is like I said before this conversation the way these large language models work is that it predicts the next word so it doesn't have the ability to think in a situation of yours which is very very hypothetical it has to think about multiple use cases on every side so it has to do something called as
• 49:00 - 49:30 reasoning like a human being chat GP doesn't have the ability to think all of this a GBD 4.5 doesn't but a reasoning model does oh when you input the text in a 03 or you must have seen 01 as a model which we never touch saying we don't know what that is regular I'm saying purely on regular people right so it does reasoning so the input here should go into reasoning model rather than a regular model right
• 49:30 - 50:00 as you talk about it I love the fact what you're doing here is that you said I will ask chat GP to ask me tough questions I do the same but I do it slightly differently you could be doing that as Okay I'm very lazy to type and listen so I turn on the voice mode correct i speak for 2 three hours till it breaks and again I resume correct it's a great way to kind of get a balance of what's happening so there's a reasoning model that goes in thinks through everything thinks through every equation and goes here and finally you
• 50:00 - 50:30 are able to quiz yourself you know I've done sample podcasts i I did a sample podcast yesterday of you and me as well aa is this better thank god uh but Chad Gibb did ask me more tough technical questions which I didn't want you to ask but that's good right uh and then when it comes to if you knew how models work like I said you would know that you cannot just upload a PDF a lot of people actually upload PDF file and they say oh it worked it didn't work it just understood what the v what the file is about it doesn't know the
• 50:30 - 51:00 intricacies of it when you upload a PDF because it doesn't remember for you to upload a large file you need to know a concept called as I don't want to go into it but rags rags break down index so that it can read and chat GP cannot do it out of the box if your work had had a lot to do with PDFs you would have known of a platform like Humata which is a rack platform where you can upload a PDF and start chatting with it or you could have
• 51:00 - 51:30 just uploaded the PDF large PDF into a different rag system like notebook LM have you heard of notebook LM which is by Google i've heard about it but I haven't used it h Google notebook LM you can just upload the PDF it is also a rack system in a way right the feature that notebook LM is very popular for is the podcast feature where people say you can upload any file AI will convert that into podcast and you can listen to it that is what notebook LM got very viral for but what it works very well as well
• 51:30 - 52:00 for is that you can upload a lot of file aggregate the information inside of it and you can chat about the files that you have just uploaded so I can take up Walter Isaxon's book yes upload it or five different books of Walter Walter Isaxon and ask what are the common trends that you're seeing about the writer what are the common traits that you've seen in Steve Jobs's Elon Musk and it will not the tool the beauty of this tool is that it will not allow it to access information beyond the files
• 52:00 - 52:30 that you have uploaded oh wow that is actually very interesting because I tried doing this with the book Prince and I tried to understand if Machi were to give me an advice what would he say okay and this is what I was speaking about floating with power and trying to understand how power consolidation happens but what happened is that after a certain point it started to go out of the book yes now if I haven't read the book I wouldn't understand you would not know yes yeah so then that becomes deeply problematic right but then if there is a model which has restricted access only to the book and it has it
• 52:30 - 53:00 has to do reasoning only within the book then it makes a lot more sense only to the files that you've uploaded got it so that's a notebook element so but then bro there is no end to this like you've given me so many nuances so give me like a thumb rule on how do I understand these models because this is just too much information for me there are not 100 models out there no you have to understand what are your top use cases okay and then you have there is finite amount of information here once you learn that finite amount of information you will be hooked to make sure that you're always on top of new things that
• 53:00 - 53:30 are coming got it so what's the framework to understand this better uh in terms of which model is better for what is I think the only way to do that is by trying is by testing things out is by playing with it there is no better way of learning than actually doing it but playing with it 4.5 you have to be more curious to understand what I'm doing is it the right thing long story short 3 4.0 huh
• 53:30 - 54:00 but that is such an inefficient way to go about it why because I've got my day-to-day task what am I supposed to No you're not going to do this forever no for example today if I want to have a task see the first differentiation that I told you about is do you go to a non-reasoning model or do you go to a reasoning model once you know where to go when to go there are bunch of reasoning models everywhere you can choose to stick with GP only you don't have to go beyond it but reasoning non-reasoning reasoning or
• 54:00 - 54:30 non-reasoning so or else you'd be everybody you want to have an edge you don't want to put in the work no I'm saying I'm putting in the work but I have to understand where to put in the work by spending time into understanding where to put in the work you getting my point you know the solution to that that is exactly what GPT5 is going to be it removes like this is openly spoken about right now when GPT5 comes right this is not your
• 54:30 - 55:00 problem this is everybody's problem they're like we don't know what to use when you have given us 20 models what do you use where so OpenAI is like you know what the GPD5 is going to be smart model which has integration of all the models inside of it so you don't have to do the guesswork of which model to use where i will understand your task and I will use the right model so the call to action is wait for GPI if you want to wait but then this kind of works in everything that you're learning in AI everything
• 55:00 - 55:30 that you do in life actually you have to be explorative for you to get an edge you need to have more surface area of knowledge understood do you think it would be better for example you ask me this question that uh what if Chad Gibbdy 4 doesn't take up 450 pages do you think a better alternative would be to just ask Chad GPD 4.5 as to what am I supposed to do i want to upload 450 pages of document tell me which model to use probably but for a question like that I would go to perplexity perplexity the reason why I would go to perplexity
• 55:30 - 56:00 is because GPT 4.5 not tell me that perplexity is better i think there will be biases there unless you call it out i don't know it's a good try these are good experiments see this is this is the curious hat on right if it does say then you're like "Oh it's a nice model." If it doesn't say you ask "Why didn't you answer perplexity?" Then it'll give you a reason why 4.5 Chad Gibb 4.5 explained the yield curve we were trying to study US recession it explained the yield curve
• 56:00 - 56:30 wrong definition of yield curve wrong the data the example it gave outdated or it gave the complete opposite example was the e curve recent the the data that you're looking for the no no it was just an example it was a conceptual explanation that I was looking at and this is like a 50-y old concept and yet GP 4.5 messed up and we understood that while we were reading through the example and we were trying to understand how can GPD 4.5 be wrong so for about a minute or so we were like stunned that
• 56:30 - 57:00 uh GPD 4.5 5 said something and because we've trusted the software so many times that we started to question ourselves there's something called as hallucination see all of these models all of this AI right basically has been trained from a lot of information on the internet so it has a character of a human being but it's impossible that it gets wrong information on yield curve because all of the information available on the internet is not 100% accurate and GBD 4.5 again I go back to the same point it
• 57:00 - 57:30 is a text generator it basically guesses the next word if you want super factual information which could not go wrong and it's not creative writing you would go to something which has access to realtime information which is Google deep reset no you can go to perplex this is this doesn't need yield curve is a basic concept it doesn't need one in fact a good hack if you want to be very sure of the information that is coming and it's not you didn't ask for it to
• 57:30 - 58:00 write an email because the factory cannot be wrong in an email right it's about writing style but let's say something like this in this case yield curve i would just tap the button of search on on chat GPT so before it gives you the answer it quickly reads up a couple of articles before it gives you the answer just this just just takes the quality of the output much higher level one is understanding the models better and here's where you need to be very good at problem solving you said yeah I mean essentially level one idea of level one is that you understand what all
• 58:00 - 58:30 models are out there which model is good for what and how to work with them the right way by learning how to do prompting rightly know the right models and then choose the right models now let's go to level two level two level two is essentially prompting advanced prompting I would want a framework on how to prompt such that it can give you right outputs and before Before I spoke to An I thought prompting is very basic okay and uh what I found deeply
• 58:30 - 59:00 interesting is that me and my team were using the same chat jeopardy model and we had the same problem but somehow the answers that I got were so comprehensive that they were like exactly type okay and I remember this very vividly because two months back I asked the same question to an type like how are you getting such comprehensive answers and he had a different framework
• 59:00 - 59:30 but I want to understand from you what exactly is your framework because of which you're able to get such comprehensive and complex task done through the operator in just one attempt well it is not just the operator it's any model out there or any AI out there the way I treat any of the AI agent AI uh assistants out there is how I would how I would treat a intern who has just joined today okay if I give a task to
• 59:30 - 60:00 the intern I would want to be as freaking specific as possible there are two ways let's say I'm hungry okay and I have an intern you should not get your intern to do all of this it's just an example uh let's say I'm hungry and this intern has joined in today and I'm like "Hey I'm hungry can you get me food the intern would be like "Oh Weber wants food okay let me go down oh there's a Burger King right here i like Burger King i'm sure Weber will like it as well and burger is closer i'll buy it and give it to you." And he gets me a burger
• 60:00 - 60:30 i'm like "Boss why did you get me a burger?" I go back to the intern and say "Why did you get me a burger?" The intern like "You said you're hungry i got you a burger what's the problem?" It's like "Oh man i'm dieting right now i can't eat a burger." Instead if I would have told the intern listen I'm very hungry right now i have a lot of work to do so I want to eat something which is very quick with that being said I'm currently on a diet uh and I've already had a lot of carbs today so I want something which is very
• 60:30 - 61:00 very high on protein and high on fiber so figure out something that we can get really quickly in the next 10 15 minutes so I can have this food now that I have been a little more and I'm a non-vegetarian now that I've been a little more specific the intern will still find a Burger King only which is closest because I wanted food in the next 15 minutes but he'll probably order a salad at Burger King with a chicken breast rather than a burger for me which suits my needs so it's all about input and output so the more expressive you are to an AI the better it gets so the
• 61:00 - 61:30 way I treat it what do you call this context it's not just context it's a great point context is extremely important i give more things to it okay I call this uh a basic prompt formula this is we call it the magic prompt formula fancially inside of group school and it's a very simple prompt formula okay I start with something called as role i go to objective i go to context instructions these are the four elements I try to keep in every prompt and sometimes I add something called as
• 61:30 - 62:00 notes notes and I'll explain you what each one of them is all these large language models are general purpose technology models right like they can do a lot of things but that doesn't mean that they can do everything really really well so you have to specify it let's say if I'm writing copy let's say I'm writing a landing page copy for one of our products the role is essentially me giving AI a specific role saying listen you are an expert at writing landing page copy and you have return
• 62:00 - 62:30 landing page copy for top SAS companies like HubSpot Canva Freshworks Zoho etc and you have 15 plus 15 plus years of experience and you write phenomenal conversion copy this is the role now you'll be like why do I have to give this role why are you making stuff up Webhuff the answer to this is the moment I give a role to this AI AI can quickly go up and read what are the traits of a person with 15 plus years of experience
• 62:30 - 63:00 who writes copy on SAS because it already knows everything but it's clouded it specifies saying I have to write like this a role is very important next comes objective what do I want it to do i want you to write a kickass landing page for this new AI tool that I'm building that is think school AI right and these are the features of the tool and I want you to build a kickass landing page copy copy for this this is the objective which is the task
• 63:00 - 63:30 next comes context now context I feel is very very important a few cases you don't need it in a lot of cases you do context is where you tell your AI why you're doing is important okay right so here I say "Listen you have a very important job of writing landing page copy the reason why I want you to write great copy is because I'm going to spend $100,000 running ads on this when $100,000 I spend running ads on this
• 63:30 - 64:00 there's going to be hundreds of thousands of people who land on this landing page and if I'm not a if you're not able to convince them about the product that we have in the most convincing way people will not buy my product when they don't buy our product we will not do well as a business if we don't do well as a business we would not need you anymore this is where the context is where you try to explain why what you're doing is important so that positive negative AI works super interestingly
• 64:00 - 64:30 right blackmail this is why what you're doing is very important you basically control if my marketing will be positive or negative the idea here is to explain why what you're doing is very important why what you're doing is very important yeah and then there is instructions right instructions is listen this is my product these are features it has uh I want the landing page copy to have all these captured blah blah blah these are basic instructions step one step two step three step four eventually there
• 64:30 - 65:00 are notes right in notes you can add anything that you want to summarize or anything that you could not capture here right and that's my prompt example nodes so usually the way I use nodes is like a backup i usually don't add nodes i write a prompt let's say without nodes and I send this input let's say the copy that it comes uh comes in let's say uh second person and I want all of the copy to be in first person now where do I add this so I just add a note and say make sure
• 65:00 - 65:30 all the copy is always in first person whatever feedback I usually have for the prompt to reuse it over and over the course of time I usually add it in nodes got it so L0 is tasks find AI tools using those websites l1 is understanding all the models l2 is prompting prompting role objective context instruction or notes this is one prompting technique there are hundreds of prompting techniques out there okay like let's not
• 65:30 - 66:00 get into that L2 which is prompting prompting and going a little deeper listen what we can do actually interestingly enough is I can give you a document detailed out all the levels which you can link up as well so people can use it okay but it's not as simple as knowing models knowing prompting you have to go a little deeper few technical aspects you have to understand but high level you're right models prompting level three may what I feel as an AI journalist because you're problem solver
• 66:00 - 66:30 ever just knowing text is not good enough how do you go deeper into audio video images and all those things as well l2 prompting correct so so far whatever we have done is with text we have stuck with LLMs which are text generation there's a world out there which is massive that has everything to do with images videos audio and that is called as a world of diffusion okay that is also something
• 66:30 - 67:00 that you need to understand if you want to become a generalist because you are trying to become a problem solver and problem doesn't come in just text form problem could come in any form okay so audio and video because video upload video and audio audio I can still understand because you can still give instructions via audio which makes it easier in fact it is better than text okay but uh what am I supposed to do with all these because at this point it
• 67:00 - 67:30 is almost too much for me to everything will come together on level five right trust me first level level zero you did it only for yourself to be feeling comfortable wherever you sit wherever you're sitting at this point of time that is level zero level one you went deeper into all the AI models out there in level two what you did was to go deeper into playing and making these AI models You played with prompting retrieval techniques what are rags and
• 67:30 - 68:00 but yeah level one level two all of them has to do with LLMs in level three which is one final curve of learning according to me is understanding how do you manage images how do you generate images how do you generate videos how do you generate audios how can you control what is coming out of all of this so that you don't only have the ability of text but you can also solve problems when there's a image requirement bro how many of these professional executives have this
• 68:00 - 68:30 problem with image because with prompting I can understand you can do code you can write better you can write emails better to emails let's say you have a head of business okay okay okay for your operation your business in in your game at least Right you have a lot of creative work to be done if your head of business cannot drive the team under them which is a revenue team to drive them to say that listen your thumbnails could be AI first lot of re-shoots that
• 68:30 - 69:00 you're doing could be a simple audio generated AI of Ganesh no I'm looking at a non-creative company tell me one company marlo Infosys huh infosys is a service company they would need this even more okay because service company has to build solutions for no matter what there is right if you don't have an understanding basic understanding of diffusion it's like LLM is for text diffusion is for image video audio everything else but where will they use it to build products for example let's
• 69:00 - 69:30 say if a let's say if bank of America comes and says that you guys will have to generate a custom image for every customer who signs into my product okay how will they generate h It's going to be part of our ecosystem but is that going to be as um common as text for you to become a full stack person you need to have an understanding of that it's as simple as that can you not do it probably yes in the same way you can choose not to learn how all the models
• 69:30 - 70:00 work and stay at level zero also right for you to have a very good grip see I believe as a problem solver the more depth and more width of knowledge you have on things it doesn't have to be that you can execute everything having an understanding of possibilities gives you a new array of solving problems and that is what anybody as a journalist should have the capability of got it you must have heard of T-shaped T-shaped leadership T-shaped people right or T-shaped marketers T-shaped business people why do they have to learn about
• 70:00 - 70:30 marketing by the way guys just for context T-shaped Mlab specialist in one thing and generalist in multiple things for example if I'm a specialist in communication and I'm a generalist with video editing with sound design with thumbnail design I can go on to become a YouTube creator anyways back to the You won't believe the number of founders who are running billion dollar companies you know the kind of founders that I'm talking about but I'm sure you are friends with a lot of them have reached out saying
• 70:30 - 71:00 webhub how do you generate creatives we see your ads all the time I get the fact that that is AI how the hell do you do it these are founders right why do they need to know you are talking about building a generalist you are talking about becoming a builder you're talking about having an edge over everybody else if you don't know it why why are the founders curious to know how we do If I was not a AI journalist myself it's simple right if I was not a AI
• 71:00 - 71:30 journalist myself we would not have been the company to launch AI ads one and a half years 2 years back when people didn't even know that you can generate an ad using AI what your ads are all AI 2 years since 2 years we have been testing AI all my ads today is AI obviously so you don't shoot them no bro rahul bogs me to shoot all these ads so many times i should just give him my AI not just that I'm Did you use the general framework of going through h and level abs and that is one kind of ads that we create you would also see me in
• 71:30 - 72:00 ads where I look like Harry Potter you would also see me in ads where I look like Iron Man you would also see me in ads where I look like a old guy aa it is face swapped with me with storytelling interesting right now you'll be like web this is very marketing specific right no I understand because you know Azar from Inshots was here and he said something very interesting he said that greatness often stems from curiosity he said that if you're a curious person then by default you tend to have more information and because you have a lot
• 72:00 - 72:30 of information you can turn them into bits of wisdom which will take you far far ahead so he said that in fact when I asked him how do you hire great leaders he said that great leaders have to be inherently curious so I think this curiosity aspect is something that I understand and I believe that if anybody wants to climb the ladder of greatness this person has to be curious if they're not curious and they're just too lazy to explore things i mean it's okay to find an it's okay to find a more efficient way to quench their thirst of curiosity but it's not okay to skip curiosity which is why I asked you now there are
• 72:30 - 73:00 too many models what is the most efficient way to go about it i mean I don't want to skip it but what is the most efficient way to go about it so I get it so we don't have to justify curiosity it's already it has already been I think it has nothing it has a lot to do with curiosity but it also has to do with one aspect that for you to be able to do things at scale you need to have broad broad spectrum of knowledge a general army general probably once he becomes a general is not going to go into the uh war zone to fight with guns
• 73:00 - 73:30 anymore unless it gets to it right but are you saying that army the senior person army has not tried every freaking weapon that has come into the army he has and because they're able to empathize with the frontline soldiers they're able to give them commands that they can obey and efficiently win the war so I get it great so that is done with level three levels got it how would you summarize level three level three I can give you some tools or level three is idea of understanding how things
• 73:30 - 74:00 beyond text work how beyond text work because we have done all text so far how does video work how how does AI generate an image what the hell is noise why does it come from noise to a cat photo dancing on a road right so long story short with L3 what you're essentially supposed to do is go beyond text explore video audio and here's where 11 Labs would come in mid I tell you a few tools that people can explore uh Leven Labs is basic midjourney is basics Leonard AI is
• 74:00 - 74:30 basic these are tools if you want to go a step below this go into stable diffusion there is something called as comfy UI which is a nice little framework where you can build your own midjourney okay there are models where you can train your own imagery like flux Laura if you look at my Instagram thumbnails all of them are me but all are AI generated mean astronaut suit mean this mean that all are AI generated with my face of course for video generation there's runway ML uh there is Lumalabs there is Sora there is VO which
• 74:30 - 75:00 is by Google which is incredible right so a lot of these models and this will give you width and depth across everything so tomorrow when there's a problem you can solve them irrespective of you cannot say oh this is out of my territory because you don't have that option you're done with three levels great you have very good understanding you've played with all of them you know where to use what good job level four and level five is all about building level four where we spoke about agents right AI agents are going to enter the
• 75:00 - 75:30 workforce level four is where you start learning how to automate things in your life and build agents as a solution for the problems that you have build agents okay yes right so I think the great start for this is trying to automate not do things but actually hand off your job to something else and get it to do for example let's say you're terrible with emails and nine out of 10 emails right you just want to say not interested and you would know there's a logic behind it right how can you get an
• 75:30 - 76:00 AI to automate this for you where it can read the emails write a reply to the email if it thinks that there is a with 99% accuracy Ganesh would send this email as a reply they would just reply to that email if it for some for some reason thinks it needs your attention because it is important it will label it as a different email and keep it with a five different uh replies as a draft if it is even more important then in real time it will ping you on Slack because you're
• 76:00 - 76:30 terrible on your emails all of this happening automatically got it so L4 is basically exercise executions now so after you've learned everything after you have played with everything now it's time for you to look for that task in your L0 which task to pick up which model to use and how the hell do I automate it so that I go off hands from it okay which is the simplest task that you would give out as an exercise for somebody to try out i think email reply email automation email automation is
• 76:30 - 77:00 superb to L0 task email automation uh managing emails replying to emails so I want to process I want you to process it through all these four levels so that we can develop a sample understanding sure so it's L0 reply emails l1 understanding the models well now you tell me according to your understanding which is the best model to use in order to reply to these emails it's a very simple task you can use a 40 or a 4.5 or anything in this case 40 or 450 one line
• 77:00 - 77:30 key why did you choose this model 4.5 4.5 because it's the best text generation model out there 40 because it's cheaper than 4.5 got it then we have L2 which is prompting can you tell me what would your prompt be you start with role for email reply who usually replies to these emails executive assistant right of big companies of big founders or whatever so the role will be like you are a rockstar executive assistant with more than x
• 77:30 - 78:00 years of experience and have worked with phenomenal founders like Steve Jobs Bill Gates let's say you in this case you can say depender Goyel Kunal Sha or whatever you have been this is a role high level objective your task is to go through my emails open each one of the emails understand what is written on the email and write a reply for it okay that is the first job this is the email reply generator write a reply for
• 78:00 - 78:30 that email okay objective you have to understand that I am a Ganesh Prasad from Things School i have a lot of followers so we cannot factually go wrong with emails we cannot be rude to the person the email should not a lot of my audience could be sending me love emails we cannot be like thank you and all of that the replies have to be empathetic whatever other context that you want to give here also we'll get a lot of hate emails you'll get a lot of hate emails so manage that with highest
• 78:30 - 79:00 uttermost level of respect and empathy as well right we never want to be rude because I am not rude right context instructions in this case instructions doesn't need a lot here you can again say that uh basically empathy remember all of these things is a very simple task that's it there is no need of notes because it's a very simple When you write a prompt like this every time there's an email it will understand that it's an EA so it has to answer like
• 79:00 - 79:30 an EA it will write nice little email reply for every email that you come up with this is what you did on level zero so when you use this prompt and copy and paste the email that you got it can write a reply and you have to copy paste it but this is still copy pasting that is level zero now you came to level one and level two where you understood how to refine the prompt so instead of saying write an email reply to this you wrote a nice little prompt as a result it was able to compose a nice little reply now now you want to do one very important thing that is it has to reply to your email and
• 79:30 - 80:00 also put conditional logic i'll tell you what I mean by that on level four what you learn is automating this let's say we use a tool like make.com or Zapier which has integrations with tools like Gmail and it also integrates with tools like OpenAI where I can use a 40 or a 4.5 now I'm not using JB anymore i've gone beyond chat gypty right now i go to a platform like make.com or a zapia.com for this matter there are tools that there are apps that you can pull in guys
• 80:00 - 80:30 just to give you context Zapier is an app which can communicate between different different apps for example if you tell Zapio that you should read this email and then go to chat GPT ask for what would be the best response extract that response and then paste that over here and then tap reply zapier will essentially go from reading your email to taking it to chat GPD extracting the output and then pasting it over here to replying so it completes the loop of
• 80:30 - 81:00 automation from reading to replying okay so Zapier is a tool which can actually connect multiple apps together talk between them and get your task executed which is why it's called an automation tool if this is clear let's move ahead so perfect i think you've explained Zapier really well also the process that we're going to do here right we're going to we're going to pull in Gmail which is an app inside of Zapier as well once you pull that in it'll ask you hey enter your ID and password and sign in into your Google account you give access to
• 81:00 - 81:30 your Google account there right and then you can write a logic every time I get an email on this email id send this email to open AAI or in this case let's say chat GPD for easier term inside of open AAI or chat GPD I've already kept the prompt ready so the question comes and it goes into the prompt you write the full prompt and it says here is the email and every time there's a new email that comes out it goes into the prompt executes it you get a reply now this reply is again connected to Gmail right
• 81:30 - 82:00 And this can all be done without writing a single line of code all drag and drop right then this reply will again be sent on Gmail and it can send the reply got it now this is the simplest form but nobody should do this because it will end up replying every email that you want so you can put conditional logics that is if this then that kind of logics but why not reply to all emails maybe you got an investor email it doesn't have enough context to it if you force it a AI is as good as it has information of if you say
• 82:00 - 82:30 be nice and let's say investor have written you an email saying hey I want to talk to you i want to invest capital and let's say you have no interest of raising money it'll be like okay great thank you so much for the reply i'm super excited to see your reply i'm so glad that you watch our content sure let me know when we can talk and you'll be like I don't want to talk to an investor but AI is just being nice and you said be nice so it went on to be nice so it's like a company telling you that Ganesh I want to sue you thank you so much it was
• 82:30 - 83:00 great thank you so much it won't be it was great it'll be like I'm sorry to you know uh do something wrong without even knowing if you did it wrong or not uh I didn't mean to do it we our intentions are always right we try to do the right by you and if you have done it sorry we are happy to face the consequences oh okay maybe maybe because you're like be empathetic be understanding don't be rude you said all those things right but here's where you can draw a line now imagine you add one more step before
• 83:00 - 83:30 even you send that email right before you can send that email to chat GPT you put a question saying that you write one more prompt i will send you every email that I get your job is to understand is this a very important email from an investor is this an email from a fan is this an email from a customer success p for which needs customer success is this an email from an internal team member is there an email which is something else
• 83:30 - 84:00 whatever you can bucket it right you have an understanding of your own email box if you say then you put a logic if it's a customer success executive if if you understood that this is a learner of things school who has written me an email positive or negative doesn't matter check if it's a positive email or negative email if it's an appreciation email right send this email to Slack to our team saying "Good job." And also reply to this email saying "Thank you so much thank you for being nice." If it's a negative email you
• 84:00 - 84:30 basically say "Sorry didn't expect something like that." And loop in the customer success team by adding this email ID to the email and also send this email to customer success or customer issues Slack channel so that I can get the team can see it right away do we have like a consulting company which can get all this done i think there's going to be a massive rise of AI consultants because I think this is a huge opportunity there are very very very few
• 84:30 - 85:00 people who can do it today and the people who can do it today know are all geeks so they're not one of those people who are out there saying that so that is I was saying there's a massive opportunity of people becoming AI consultants transitioning and very soon transitioning from AI consultants to running AI agencies from there I see a possibility of them transitioning into service as a software company or becoming an AI SAS company and actually build something this is also bought as a service right almost it's it's this is a
• 85:00 - 85:30 classic example of service as a software not software as a service oh wow that is you phrased it so beautifully bro service as a software i didn't phrase it i didn't coin it oh acha okay i will not take credit for it right service as a software it's a new rise of vocab that's happening i mean they can people call it in multiple ways ai services company services software company everybody has a different way of saying it is essentially those kind of companies where software is replicate is replacing
• 85:30 - 86:00 95% of a human but there is still a human in the loop software as a service you have a problem there's a solution you use the solution which is a pure software play and it solves it but service as a software is let's imagine right uh there is company Accenture or concentrics which has thousands hundreds of thousands of people employed whose job is to pick up the phone and talk to their customer talk to customers of different
• 86:00 - 86:30 companies 95% of these conversations are predictable to 99% level that is the answer the cost of that call to the company is 45 rupees that is what uh AEL has to pay for a 3minut call around 15 rupees a minute is what they have to pay these 95% of the things which was being led by
• 86:30 - 87:00 human beings can be now automated with voice agents m a company like concentrics will eventually has to become a service as a software company where 95% of these tasks you pick up the phone human will not talk AI will talk first but the customer on the other side will not know or will not feel right like hey what is your problem you like I paid but my
• 87:00 - 87:30 recharge has not happened like can you wait for 30 minutes did you get the SMS said yes was the money deducted Yes did you get a SMS from yes like you saw in the message we said your recharge will reflect in 30 minutes hdfc has the worst worst bot I have ever seen in history botan chatbot no there some voice assistant you press one press two press three no bro it's the worst you're talking about
• 87:30 - 88:00 press so I just paid I just bought a fan through blinket or I just bought a fan through blinket if this is a if you want to approve this transaction say yes if you don't want to
• 88:00 - 88:30 approve this transaction say no and we will get the card blocked or something but I said it is a legit transaction but I don't want to go ahead with it because I've made the payment again it cannot understand it cannot understand okay okay no no no no this is uh block the transaction then I had to go to Bangalore i had such a terrible 3-day trip because of that bro it was the worst and then you can't even call them because every time you
• 88:30 - 89:00 try to call them because somehow they feel like oh you know they're so advanced that they technology that they're using is not AI they're looking for a catch word no no no what I'm saying is essentially a message to HDFC if you're listening to this that they they may or may not have humans i don't care about that but if your AI if your whatever AI software whatever you want to call it if it is so bad you should at least be able to call a human and tell them that guys my card is blocked because if it's an emergency what the
• 89:00 - 89:30 hell am I supposed to do and this is like and it's such a stupid thing that this is the most prestig one of the most prestigious banks in the country so it's bad anyways sorry bro no I get it i get the frustration i think uh like I said this is an outdated technology right now m they use voice in this case but they look for a catch word this was a technology that has nothing to do with the new AI that there is right doesn't have understanding of it it's just waiting to listen two words yes or no anything else you say it
• 89:30 - 90:00 cannot comprehend so companies like concentric will be able to use AI and they'll be able to dramatically cut the cost and the workforce that they have yes and so will the companies save right because concentric will pass that savings back to the company got it so I think we've completed the loop now do you think this is enough for uh the podcast today we are at level four oh we have another level yes okay take level five level four you end up building automations and AI agents right level
• 90:00 - 90:30 five is where you basically whatever problems you have faced so far all right you can end up building full-fledged solutions to solve your own problem or solve your company's problems okay can you give me an example yeah so again like going back let's say you initially as Ganesh you were doing research for your content in level one what did you learn you learned that okay for research I can use deep research i can do the research and then I will probably use a 4.5 or a claude to write the script that
• 90:30 - 91:00 is what you learned but you didn't build any agent so far but there's a human that is doing research copying that content putting it on claude checking it adding its own thoughts and then pulling that out and sending that video uh to you so that you can shoot it how can you automate this whole process in one click so you build a platform or you build a tool without writing a single line of code to solve your problem so you build a tool you basically are replacing the toolkit that you had at level zero by
• 91:00 - 91:30 building specialized tools in the end for you but when you've got Zapier why to build a specialized not everywhere you can do it not everywhere you can use a Zapier an example in the example that I just told you you cannot send data across everywhere you cannot personalize everything everywhere you cannot execute things in a few cases everywhere not everything will have integrations not for example on Zapier you want human in the loop that is you get the research from perplexity's API and you want to
• 91:30 - 92:00 add your own thoughts there is no interface on Zapier for you to add your thoughts in the middle there is no human in the loop possible for that it has to be a platform and you build your own platform and you can build your own platform today like I said we spoke about cursor we spoke about lovable we spoke about windsurf you just say what you want you just say use this AI model write this prompt for this but this will require a lot of time right three I I built a tool like I told you in 3 hours but that's because you're you now bro by the end of level five by the time you
• 92:00 - 92:30 get to level five you'll be an AI journalist you will be me what do you mean no I'm getting it because even with prompting I mean it looks like it's very easy but once I started to teach people how to prompt uh it just gets very very complicated and then you I think it's function of practice ve coding have you heard of VIP coding no vip coding is essentially you building products being a non-developer by just talking to AI it's massive right now what is it called vibe coding v IB coding got it
• 92:30 - 93:00 it's massive right now and I'll tell you the world we are heading into okay you must have heard of personal computers which is laptops that's the biggest rage that happened at some point of time right post.com bubble the biggest rage that will happen right now is going to be personal software you will build your own software build build your own software for you i legit have a
• 93:00 - 93:30 dashboard for with all my data metrics in it with health metrics in it i built my own software without a single line of single line of I don't know how to write code i just know what I want i iterated spoke to it because I understand how these models work i'm able to talk to it in a language that it understands it's an pro process of iteration your first product will take you five hours but the second product will take you 3 hours the third product will take you 1 hour because you will know how to talk to it that is real learning
• 93:30 - 94:00 understood now after having this entire conversation I still believe that there is a huge scope for AI agencies like if they just come I think if they can go from level zero to level five and then they can come to companies like think school we will be able to give them all sorts of tasks and then they can execute it by going through this entire blueprint the problem is we are in a market which is supply constraint there is no constraint of demand
• 94:00 - 94:30 see the the thing is for a large company like a bank of America HDFC they have Accentur Vipros of the world to go to yes they are slow but they still figure out a solution where would a company like you or me will go to i cannot go to Accenture i need a specialized solution company which can operate for me and that is the gap but there is no supply the reason why there is no supply is the reason because 99% of people are sitting on this i can't believe they're sitting on this they most of the people think like bro I have done 5 million people we have
• 94:30 - 95:00 taught 5 million people how to use AI we still see comments on our ads oh these guys are going to teach us Chad GPT we can ask Chad GP how to teach it bro like just come inside it's you don't even pay just come inside i'll ask you the same question towards the end and we ask this question in each and every one of our sessions we've done five million people in last I think 18 monthsish right we've asked this question every time did you think AI was
• 95:00 - 95:30 this powerful 2 hours before people say no i had no freaking idea true in fact bro I have an idea about it because of Hunch because he keeps updating me about all of these things and it they sound very scary that is the reason why that is the reason why I am actively learning otherwise I wouldn't be so actively learning about these things and uh after that conversation that I had with you I started to take my workflows more seriously and I tried to understand how to use AI over there
• 95:30 - 96:00 so I mean uh like I said I would still consider myself to be an ignorant fool because I'm aware of all the problems but I'm not acting fast enough because had it not been for an I wouldn't have taken AI so seriously number two is after having a conversation with you I started to decode all my workflows and I tried to understand where should I use AI to superoptimize them you get what I'm saying usually you think about optimizing your workflows but now I am thinking about super optimizing my
• 96:00 - 96:30 workflow in fact even while hiring after I had this conversation with Azar I tried to understand how many of my team members are genuinely curious because what I understood is that if somebody has to be an AI generalist and you coined it very well that AI generalist has to be super curious and super aware of all the things that are going on in the market so that they can find AI tools not master them but find AI tools and then master them and then super optimize and super optimize is the Third
• 96:30 - 97:00 step the first step is finding out and that requires curiosity and there are just so many people I feel so sorry so sad for them that they are so stupid that they think AI is all about chat gypy or generating text or generating text and to a large extent even I thought the same until a year ago but then uh thankfully I was able to educate myself and after today's conversation I again feel what I felt a year ago which
• 97:00 - 97:30 is like an ignorant fool who just doesn't understand how AI operates because it's operating at another level altogether so thank you so much man this was information overload and I just hope uh this is information overload in a good way to everybody who's listening guys here's a very simple call to action regardless of who you are if you are an entrepreneur please go back and evaluate all your workflows like I am saying all your workflows for example in my company I am evaluating everything from the
• 97:30 - 98:00 Excel sheet that my accountant is making all the way to the edits that are going out we're trying to optimize every single process so if you're an entrepreneur please re-evaluate everything if you are a professional working in a company no matter how boring your company is no matter how old you think your company is no matter how orthodox you think your company is please embrace AI to an extent where you can become a super employee because regardless of whether your company stays
• 98:00 - 98:30 or not you will require a job that requires you to be an AI generalist l0 to L5 this might sound like great intellectual information but it is of absolutely no use if you don't apply it so this is very tedious and by the look of it it seems tedious to me but please do it because it's good for you and it's good for your job otherwise hard times are coming that's it anything any message that you would like to give to the audience no I think the way to stay
• 98:30 - 99:00 ahead in this race is by uh how do I put it building context new level of context every day so by keeping up you can only stay ahead today by keeping up and a lot of like as we speak about it right because a lot of it is new for a lot of people they might be like man I'm not a developer i'm not a software engineer i'm not a technical person how do I do all of this it sounds new that's why it scares you
• 99:00 - 99:30 it's not that hard you just have to play with it and once you start playing with it it is going to be like so exciting for you that you'll wake up every day just thinking about what new has come I need to explore which is I'll tell you what I wanted to end it with this right the best thing that is happening today to all of us is AI the worst thing that is happening is also AI true right and
• 99:30 - 100:00 we can only leverage this by finding the right balance between these two very exciting times very scary times as well but it's on us on how we control this thank you so much man this was wonderful and guys I'm so sorry if I'm acting like a very amateur nontechnical person because I am and uh Weber was a very deeply technical person so this is a conversation i'm not as compared to me bro so I think I've just read more about
• 100:00 - 100:30 this than you have this is basically our phone call but then recorded yeah that is what it sounds like where every 10 minutes I go like what are you saying bro what are you saying and then he says bro um except all the unfiltered words so thank you so much for staying with us and I think this was amazing we thank you so much this was wonderful this felt like a conversation that we would usually have and it was fun man so thank you so much awesome thank you
• 100:30 - 101:00 [Music]