How AI Employees Will Reshape Your Business with Omkar Pandharkame

Sad GPT's entire fundamental prospect is to really democratize the use of AI. So why is it only generative AI and why can't we just democratize AI agents? So that is our inspiration. That is our ambition rather to democratize the way people can build AI agents. My grandfather should be able to build an AI agent for himself. My 10-year-old [snorts] nephew should be able to build an AI agent for himself. >> Hi, my name is Dmitri Bonichi and I'm a content creator, agency owner, and AI enthusiast. You're listening to the AI agents podcast brought to you by Jot Form and featuring our very own CEO and founder Idakin Tank. This is the show where artificial intelligence meets innovation, productivity, and the tools shaping the future of work. Enjoy the show. Hello and welcome back to another episode of the AI agents podcast. In this episode, we

have Amar, the chief strategy officer. >> Hey, I am doing fantastic. so much for having me over here on your podcast and yeah, looking forward to our chat. >> Yeah, me too. I'm definitely looking forward to it. I'm really excited to hear um more about what you you are doing individually and what everyone over at Supervity is doing. So, just to kind of give us a baseline understanding of of yourself and the company, tell us a little bit about you, how you got into the world of AI and um what you would say Supervivity does. Sometimes I get into an imposter syndrome zone because I don't belong to the world of you know AI by education right by education I'm an organizational psychologist uh I have studied law and I have studied economics but now I'm managing product and strategy for an uh AI first

company so it was it was not a very natural progression for me uh but uh before supervitti I was an academician I was a I I was a professor of entrepreneurship and gradually before that I launched a couple of tech startups which was a fairly successful soulm and uh very um interesting insight is that you know everything happening pre- Genai I thought that this is it but once the geni boom started I think it was a no-brainer to you know leave a cushy academic job and you know really challenge the frontier of of what's possible with with Genai and uh and that's how I came into the whole scene of AI. I still remember, you know, a few few months ago when VIP coding started getting mainstream, uh the tech startup which I built about 10 years ago, uh which took like six months and

like a 20 people dev team. Uh I could wipe code it on a lazy Sunday afternoon with some pizzas and beers and just about 3 hours, right? So it was uh it was that kind of a awakening what what I personally felt around about year and a half back. Um I joined the founding team over here at supervitti uh where I'm currently managing the strategy the product uh and strategy is such a broad abused word right strategy means do everything right from hire people to like pitch in front of investors to also make sure that you know the bills are paid. U super witty we like to identify ourselves as an AI employees company. uh superity initially started off as a pioneer in digital workers right before AI employees the word which was going around was that of digital workers so um now it has

gradually evolved into digital workers being called eworkers to AI agents to now everybody's talking about you know AI employees or AI teammates so that's been the story of supervity it started about six years ago as a services company now we kind of uh services which is more like you know the whole term software as a service but but it it it we kind of reversed it by saying that you know we're service as a software >> right so what >> what we're doing is we're giving a platform but also service on top of it right it's not pure SAS or PLG motion where I just can download and start using it or just sign up and start using it the whole idea was to you know give these kind of employees digital employees which become a part of your uh workforce work alongside you and

uh you know we help them develop it, we help them configure it. So I think uh in the history of the business this has been the most amazing year so far. There are such good tailwinds right now. Every customer we're talking to, every large enterprise we're talking to, they they all have their ear ups that hey, you know what? I want an AI employee right now, right? I want my AI employee in my accounting team, in my finance team, in my HR team. So, I think it's just been a beautiful journey so far and and I just think that this is the start. What do you think is the uh primary kind of areas that companies are finding that AI can help them? I guess on a practical level like what what uh roles are you seeing because I saw a couple on your like

main uh website obviously could list that off for you but what what do you think is like the most interesting one that you found? What I was talking about is the accounts payable AI employee, right? Uh a lot of uh you know in 2025 it just seems like daylight robbery about accountants spending so much time doing like three-way matching, four-way matching, fiveway matching. Like you know every time you just close your eyes and think about an accountant's office, you'll just see heaps of paper and like a lot of red lines here there thinking that hey this purchase order did not match this invoice. you know the contracts as something else and the invoices of something else. uh yeah you know these processes should should be automated as of yesterday right and of course there were a lot of attempts you know RPA bots tried to

do that but again a they're super expensive b they failed royally right like >> it's it's like it's like you know having an elephant as your pet right it it just looks big but no utility and it's very difficult like expensive to maintain >> so that's been that's been a very refreshed you know outlook from enterprises what we're getting right like whenever we go over there and we show our APAI employee we just launched it last month and uh they're like yes I want it because unlike you know traditional you know I still feel AI softwares are still having a lot of SAS baggage uh what we realized is >> no >> you mean like people are people are not >> like uh >> no from from the interface perspective right like say for example Right now we are like everything just looks so SAS

right now and SAS is like 2020 2022 right like you have a navbar on the left and then you have a dashboard and then you know if if I'm talking about giving you an AI employee you shouldn't click you should converse with it like clicking is dead it's it's all conversational right uh so this API employee will tell you that hey you know what every morning it will send you a message saying that oh yesterday we had 800 invoices We processed about 90% of them. 10% of them had these kind of problems and I'm learning that you know these vendors are always causing you know these kind of duplicate payments right so we should either send an email to them or we should like you know have a conversation with them. This is how your accountant will talk to you right and that's that's exactly

what an EI employee is supposed to supposed to do. So we're seeing a lot of traction in this uh accounts payable space. The other one is uh that of a recruiter, right? Super recruiter. Um a very very easy thing to do right now in the world of AI agents is short list CVs on the basis of job description, right? And and people are typically, you know, putting a wrapper on top of it and and pushing it out in the market. But we got to see the end toend job of a recruiter. Like what the hell does a recruiter even do? He's going to source candidates. He's going to shortlist candidates. He's going to have a conversation about what time works the best for you. He's going to manage the calendars. He's going to set up a level one interview. Then he's going to, you know,

send some screening questions. Then he's going to set up a L2 interview. He's can going to send an offer letter. He's going to make sure that, you know, the documents are collected, some, you know, information is collected. It's verified. He's answering a lot of questions of the candidates before onboarding. That's what we're talking about an end toend recruiter, right? So again, right now we're working with enterprises. They want to hire 2,000 people over the next one year and they have like 30 recruiters to do that. And we're like, hey, you just need one super recruiter. You just need one AI employee. So these are certain use cases. Demetry, we're seeing like fantastic traction in. >> Very cool. No, I I like to hear that. And you know, uh, speaking of, uh, really, excuse me, [clears throat] cool use cases and stuff, how does it, uh,

actually kind of work and function? I know you're saying you're trying to remove the baggage that exists with SAS. So, like, what are you trying to do to make it more conversational and, uh, less [clears throat] SAS baggage >> platform, right? We uh, we compete with some big boys in the space, right? Like from a platform perspective, um, we compete with the likes of NA10, we'll compete with the likes of Crew AI. But if you look at NA10 or Crew AI, they're still very developer first. They are not business first, right? If you get a if you get a business person to come and ask him to create an NA10 workflow or a Crew AI workflow, that that gent that person's going to suffer, right? That person is going to start like firstly decoding what's a node, how do I connect this? But the whole

experience of a platform is that about you're actually talking to AI, right? Like one thing what I love about wipe coding is I describe what I want and and it will create a front end for me as such. Right? So similarly our entire platform is designed in a way that you talk as if you're talking to an AI coach and you end up saying that hey my CVs are going to come in uh this is the job description. Can you shortlist those for me and you know create a score and also schedule interviews. So just the way you and me are talking imagine you're talking to like an AI coach. You give very simple instructions and the workflows get created. You can go back and you don't even have to move anything in the workflow. You just have a chat, right? We also encourage our

users to use whisper flow. So you can just like literally talk to the talk to the workflow and say that hey this workflow is is right, this workflow is wrong. So that works very well for like a lot of platform use cases. Um [clears throat] what I like to always describe Supervitti is like we are uh we've built a platform. We're like a kitchen. Okay, I'm a big foodie, right? We discussed that. So I always like to describe Supervity as a as a kitchen. We've built a very good kitchen which has AI capabilities >> embedded in it, right? Ground up, right? We have OCR capabilities. We have rack capabilities. We have a bunch of integrations. We have workflow capabilities. So you come and you tell me what exactly do you want, right? Do you want um you want to build an uh super recruiter? Do

you want to build a sales enablement coach? Right? Either you build it by yourself. We'll show you in the kitchen that you know this is how you build it. You literally talk over there and the entire dish, the entire AI engine gets created. Uh if you want something very specific, we also have a menu card, right? Hey, that Omar, I would like to order a sales enablement coach. I would like to order a knock agent. I would like to order a marketing specialist or an AI community manager, right? And once I click on it, we'll be able to see it as if it's a job description of a person, right? Like, >> and and that's exactly what I know that, hey, you know what? I got to pay like $20,000 a year and I get an AI community manager. It will be able to do

all this, right? you place an order, we will plate it for you, which means that we will configure it for you and we'll we'll put it in our environment, your environment, whatever, and that AI employee is ready to start working. So that's that's essentially a very novel way what we've realized that you know it works. It puts the customer right in the center and not be this becoming like a complicated tool which only developers can use to make AI agents. So and and that seems to be be working. >> Yeah. No, absolutely. I think that's that's really cool. Um I really like um the the approach you're taking and I did have another question in regards to this as well. Like what would you say? You said you're playing against some big boys. What would some of those look like if you're willing to name

names on who you're trying to compete with so I can Yeah. >> Yeah. Yeah. Yeah. We we're going to play the whole David and Goliath story. Right. So, uh these are these are the people we we would hopefully end up slaying, right? So NA10 Crew AI uh Lindy right from a platform perspective right because we also have our own platform which you can just start using to create AI agents. So these are the platforms. Gum loop for example. Now these are these are famous names right especially NA10. NA10 is the is the big daddy of them all. They've done some fantastic work building uh a great community. But my only complaint with with N10 and the likes is that they're very developer first and they're not business first. We are business first. We we talk in the language of the business users. We want business

users to build AI agents. We don't want the business users to go to the dev team and say that hey can you build an AI agent for me right wipe coding is leveling the field for everybody why it has not reached the AI agent space >> that's a good good question and a good point um >> uh I you know I why why do you think it has taken more time actually I know vibe coding for me been a really it's been a revelation you know so what do you think is making it take more time >> no I think uh it's about choosing choosing your niche and choosing your market at the end of the day, right? I think uh [clears throat] the likes of these and they are overtly focused on on developers because they themselves have a developer first mindset, right? And

nothing wrong with it, right? But I just think that it's uh the the business world is always bigger than the developer world, right? >> Sure. >> I come from a business background. I don't come from a developer background, right? So my learning curve, no matter how excited I am to build an AI agent, uh I don't want to go through a massive learning curve looking at bunch of tutorials on YouTube, spending 3 4 hours just to make a simple AI agent. Why can't I just talk to the platform and say that hey >> build an agent for me? Yeah. And and and that that that's that's the whole I think right now like yesterday for example, right? Google launched anti-gravity uh their their wipe coding platform, right? >> Oh, I missed that. And is it powered, I'm guessing, with the new uh Gemini relationship? >>

Windsurf. Yeah. Yeah. It's powered by Gemini 3 and they there was this whole fiasco of them acquiring Windsurf or all that. So, they got the CEO of Windsurf to do that. So, yesterday I got super excited and I'm like, hey, you know what? Let's see whether whether anti-gravity has done justice to the whole vision. And unfortunately, it's still not. It's it's still not out there, right? It is of course not >> it is an IDE. Uh Gemini 3 is doing a good job. I think Lovable is counting its own days after looking at Gemini's tree release, right? Because it's been able to build such good frontends. Now my question is why can't we build bring that experience to to the AI agents world, right? Like even if you look at chat GPT's open AI kit uh open AI agent agent kit, right? >> Yeah. They

built they built this we recovered this a couple weeks ago. Yeah. Mhm. >> Yeah. It's complicated. It is complicated. >> It is actually pretty complicated, >> right? So, Chad GPT's entire fundamental prospect is to, you know, really democratize the use of AI. So, why is it only generative AI and why can't we just democratize AI agents? So, that is that is our inspiration that is our ambition rather to to democratize the way people can build AI agents. My grandfather should be able to build an AI agent for himself. My 10-year-old nephew should be able to build an AI agent for himself, right? So, >> or your nephew might be techsavvy, though, to be fair. Your nephew might be techsavvy. That's uh that's something I've definitely learned. >> Yeah. Yeah. I I hope so. Right. I hope so. >> Well, I I do have to say

that is a that is an admirable way to go about it. And I actually agree with you. I think there's a lot of problems right now in the world of uh AI simply because of the fact that the accessibility level I don't think has actually been re uh reached as nearly uh highly as it should be like we uh and the a big issue that I have right is not due to my lack of competency or lack of interest I am surrounded by other team members who are really interested and really want to work on it but the problem is there is in order to functionally do and make good agents that can get worked on, you actually do need like a very high level of competency right now, I think, in uh what you're trying to achieve and how to put them together. So,

you're essentially saying your goal is to try to make it as easy as possible for the most amount of people to make full-time um work doable uh through AI agents and building it through people who aren't necessarily at a high level of uh competency for creating such things. >> Absolutely. Abs yeah absolutely right. um you know all my enterprise customers as well right now we are building for them right we also we also have a lot of partners right like uh PWC, Accenture, HPE, Deloid these are all our partners right we train them on our platform and they build AI agent solutions on our platform and then they sell it right like how do you have N8 and a agencies or QAI agencies which which know how to build agents and automations on on NA10 and then they will go and then they will sell

it further to to businesses right so we we also have the same kind of partners who build on our platform but they sell to enterprises right uh I I I don't agree with it completely uh right now because as I said right we just have to simplify it it just should be as simple as talking to a super coworker right like everybody should have a super coworker who understands what you're speaking, who understands the context of your business, who has a long-term memory. So that you know AI agents right now, unfortunately, all of them have temporal memory, have have short-term memory, right? If I switch an agent to another agent, it is not being able to carry that that amount of memory into a new one, right? The context goes missing. You have to build it from scratch, right? But I want the world to

start visualizing that hey this is an AI employee which is residing on my screen. It knows exactly what my expectations are from them. Uh it exactly knows what are my KPIs. It exactly knows uh you know how I operate and uh it exactly knows what tools I use and it's just waiting for commands and I give a command and it does it right. So >> yeah. No that's that's >> that's the vision. >> That's the vision. Okay. So I I mean I that is a very good vision. It's um it's very interesting though like what do you think some of the biggest with that what do you think some of the biggest misconceptions about what AI agents tools can do right now are that people come to you when they are you know asking you about your product and wanting to become a customer. Yeah.

No, great great question, right? So, uh what is happening is you know agent orchestration, right? Multi-agentic >> multi- aentic systems or agent orchestration uh that is uh a a de facto demand right or a de facto standard expectation from any AI agents company. And and let's let's simplify it a little bit more, right? What what does it mean? It means that you know the orchestrator has the power to call any kind of an AI agent based on the task what it has received right so what what we have seen a lot of questions being asked is that you know do you support or this multi- aentic systems or have you built an orchestrator layer on top of all your AI agents an orchestrator layer where where I can interact with all the other operators now here's the funny part right operator agents and this is

this is our nomenclature and I would like to evangelize that right now operator agents are your workflows right like essentially AI agents which end up doing a particular single point tasks now orchestrator agents are like the manager of the op operator agents so whenever you give an complex task you don't give it to an operator agent but you give it to the manager right like let's say I work for you and you say that hey you know what Omar we we got to build this and I know my team let's Say I have 10 people in the team. I will say that hey you have to work on this you have to work on this you have to work on this and all of you collaborate and give me this output. The similar similar kind of relationship is there between our orchestrator agent and operator

agent. Now building that is complex right building that is is no child's play. Um but also at the same time uh we have been able to build that out. I think shout out to crew AI again a great competitor. uh they've been able to uh you know hack out a very good system. >> Yeah. >> Yeah. So you know this is this is the common you know misconceptions what they have is they want to see an orchestrator agent. Now I can't show you an orchestrator agent. It is it is a response to a command what you give right? You will be able to see operator agents being stuck stitched together in order to give you an output. So that's that's a little bit of a misconception which is which is there uh in uh in a lot of enterprises organization. Um the way we solve

it and this is very like superity unique approach is that we have built a command center an AI command center. An AI command center is where all the operator agents and orchestrator agents reside. Like how do you have a command center? you just end up having an AI command center for a particular AI employee let's say HR command center and then over there I will see all the operator agents which are working and I can just talk to them the command center becomes the the interface so this approach is very unique I think we will set an industry standard in the world of AI agents when we are talking about that you need a command center you need orchestrator agents and you need operator agents for a for a proper agentic system to start working within your organization. >> Yeah. No, I think orchestration is

going to be really uh key moving forward. I have you heard of tools like relevance AI? >> Yeah. Yeah, of course. I know relevance. I like that 16bit design. >> Yeah, I think that was a very smart I think it was a very smart choice. Everyone kind of like I feel like there was a funny level of nostalgia there. >> Yeah, that was interesting. Um yeah, it was good. But, you know, I I I use that tool from uh the for the last few months and it's been great for orchestration. I mean, I think it's been really helpful. Like, we have a an email management system where I'm getting emails, but it's not just a matter of like creating responses that are tailored to generally what I'd get in my inbox. It's like >> orchestrating it to a specific agent about a specific topic and

having it create answers. So, you know, it's really useful in that sense. My question to you would be, you know, you guys are kind of in this position where seems like you get this orchestration down, you get the actual work down, you're doing a couple different things. You're at a low level removing some full-time kind of work with um more associate andor uh deterministic type roles. And then it also feels like from a managerial standpoint, you're helping delegate work. So where do you think this is going to kind of sit um in the market moving forward when it comes to like job growth and job change? Like how do you think you know tools like yourself which I think are really impactful are going to impact businesses and and jobs at large? >> Yeah. No, I think um it's it's a tricky question to be

honest, Dimmitri, because uh you know when we're talking about automating work, we're also about talking about automating full-time employment. >> Uh right now, I think Amazon uh Amazon really put a big knife on their full-time employees I think last week. um here in India >> TCS which is one of the largest Indian IT companies they slashed I think 20,000 odd jobs and uh and and again you know the the irony is that these are profitable organizations they're not doing it for cost cutting right they're just trying to cut off fat right like it's >> it's come to that level >> yes >> because you know I I like to call repetitive work and your organization like fat like if you lose it you're going to run faster and and I think that's that's that's essentially uh the way uh I think a lot of organizations

are looking at it right um we are at a very important point in our company as well like fundamentally uh we work with a lot of governments right like in the US by the way one of our amazing customer is uh uh government of West Virginia right we work very closely with um okay >> in in automating a lot of work. So what we are looking at you know as responsible AI developers, AI agent creators, AI employee creators is that you know the the jobs what we're going to I wouldn't say eat up but the jobs what we're going to you know accelerate the people are going to get repurposed that's for sure right because uh every enterprise what we are talking to they just want to know about that you know where can we repurpose the full-time employees as now you know they they're

work is being automated and I you know on a borderline philosophical thing uh Dimmitri I just sometimes wonder who the hell wants to get up in the morning drive in traffic reach an office and do like boring redundant stuff so that they can pay bills at the end of the month >> right I think I think it's it's a very u you know unfulfilling way of living a life right so from a from a very philosophical standpoint. This actually would make people reflect that hey you know what human mind human brain is never designed for repetitive work. This is just a phase where we realize that you know a work needs to be repetitive and there has to be a human sitting behind a machine to do repetitive work. I think uh I think that era is ending that era has ended rather and a

new era has begun where human like we we like to say not human in the loop but human in the command right so the big difference about human in the loop is it's more on the information level right like say for example an AI agent is doing something and human in the loop is just informing the human that hey these are certain things what what I'm planning to do but the moment we're talking about human in command the way we uh build AI employees. I think it's it's a good approach where where you know the control of the AI employee and I'm using AI agents and AI employee interchangeably right now still lies with the human. So they can take more work still at the same capacity. So our our entire we work with companies which are growing. We don't like to work with companies

which are reducing their workforce. We like to work with companies, enterprises which are growing and they have to hire more. But we just tell them that hey why do you have to hire more people? You can just have it given to to an AI employee. I kid you not, Dimmitri. There was this really interesting I was having a conversation with the CFO of a very large real estate company and we were talking about the classic ROI that what is the ROI superv is going to give and uh what we concluded is that you know in the next 3 months we will make sure you don't hire anybody new right >> that's a pretty incredible statement by the way >> all right we'll we'll make do with your current staff we will empower your current staff every current staff will have an AI agent and you

don't have to hire more people. Your business is going to grow. [clears throat] The number of people are going to remain the same. Um, you know, I really like this one metric which is RP ARP, average revenue per employee, right? We want to make sure the revenues of organizations grow whereas their employee cost, their employee count remains the same, right? So that employees can can become become richer. Everybody's talking right now about like a 10 people billiondoll company, 50 people billion dollar company. I think enterprises also have to enter that party. >> Enterprises do have to enter that party. That's a I think that's a very very astute and good point. Um there's no, you know, I I I totally agree with you on a lot of these fronts, man. Like it's it's very hard for me to kind of square away two different things.

Um, one I think you know squaring away the fact that there will be a lack of need for new hires versus like okay you know obviously you have the big companies cut people but practically I I totally agree with you. I don't think that there is a single person who's like all right >> I'm excited to log in and copy and paste you know like no one's saying that this is nonsense. No one's saying >> no one wants to be limited to and and this is actually kind of an interesting stat. I remember hearing something along the lines of people don't quit jobs because they're overworked like or overwhelmed as much as they feel like they they have no meaning. Like that's actually one of the more and you know obviously in the west and and like the US like that says a level of

like >> like well we do have a level of comfort that we're like man what really bothers me is more I just I'm not really doing anything like practically speaking from a um value additive standpoint. It's things people know when they're not value adding they're just maintaining uh requirements that exist in order to keep a function going. Uh and I think when that occurs in someone's own head they're they're not happy with it. There's there's there's hard data on this. I got to find it again so I could use it more in interviews, but people will leave jobs more so because they do not feel like they're learning rather than they feel like they're being underpaid or overworked. It's it's an interesting dilemma. And I mean, I kind of sit in a position where I think this will cause the world to have more hyperfocused

businesses. you know, like a bunch of people will get really good at like a 10 person company will be able to, like you said, grow and be huge, but maybe they're focused on one thing and being really good at one thing. >> And we've never been able to go insanely deep on anything. It feels like um because of all the administrative nonsense that a company's every job and every company. >> Yeah. And and and it's just about, you know, the definition like when we say that, oh, that company is a big company, what do we what do we think about? Oh, it employs like so many people, right? It employs 20,000 people, 10,000 people, 15,000 people. Now, that that definition of what makes a company big is going to change drastically. And the second point is like as you said that you know unfil unfulfillingness

of a job, it's it's definitely going to disappear, right? Like you will have hyperfocused young folks, AI native folks who are who are solving some real problems, right? and uh there are enough problems to solve in the world to get everybody employed, right? I genuinely believe that. >> Yeah. No, that's that's a good point. What is your favorite um part of working where you're working and the most exciting thing that you guys are working on uh that you are excited to either release soon or that you have recently released? >> Yeah. No, I I really uh really like sitting customerf facing and understanding their their real real problems and you know what I like is the glimmer of hope what they understand when when we say that hey you know what we can we can take care of that like AI agent can take care

of that and they're pleasantly surprised and because because you know I'm sure that most of them are are listening to the AI agents podcast but for the folks who are not it comes as a as an as a pleasant surprise that oh really your your AI agent can do that and then it just feels like magic. So every time it's in a customer meeting you you feel like you're a magician pulling off a trick and uh and entertaining uh a well-invested audience. So I I really love that part of my job. Um so super ready I think three things are are coming up you know where we're incredibly excited about. Number one, our platform is we we're launching the third version, V3 of our platform. I think that the world has never seen anything like like a real conversational AI agent creator, right? Um I

think it's going to take the world by a storm. Uh full full conviction towards that. So the new thing what we're launching um you know 1st of January, actually at least 2nd of Jan because we'll all be hung over on 1st of Jan. the 2nd of January we're launching is our V3 AI agent >> de AI agent platform. We're calling it the supernova. uh supernova by supervid and um yeah and the two other things what I'm excited right now is uh we've just launched our AP EI employee accounts payable AI employee >> and the other thing what we just launching on 1st of December is our super recruiter which is taking care of you know an AI employee which will take care of everything from onboarding to uh from from sourcing to onboarding of of any uh of any employees. Nice. That's very cool. That

was a good joke, by the way. Well, I don't know if it was a joke. You probably will be hung around January second. Um, that's uh fair enough. Okay. Well, well, cool. I, you know, I did have a a couple more uh short questions. I know I I know we're kind of getting close to time. Do you have a few more minutes? >> Yeah, sure. Yes. >> Okay, cool. Um, what would you say is, you know, your favorite personal tool that you use that is for AI? Could be in your job, could be um just for like day-to-day like sanity. Like what are you using at work that you're like, "Yeah, I love doing this." Like this this is my favorite for me as an example. I love like meeting recording um tools that then I send to AI the transcripts to agents and then

it saves time on the post call stuff. That's my favorite. >> Yeah. Yeah. So, so same over here, right? Like one of the c three tools what I really like, right? And shout out to those founders. Love them. Actually, four of them. Number one is granola. I love granola. I live on granola, right? Uh it is the same one which is for for meeting recorder. You know, teams has become such a such a snitch that they're not allowing all these note takers like Otter or Fireflies to enter the meetings. And uh so I just have my granola on all the time and it listens to the the audio input output and does a fantastic job of transcribing. So you know granola is is is amazing and if the founders of granola uh listen to this podcast please come out with an outlook integration as well.

I especially made a Gmail work ID so that I could use granola. So I really like granola. I also like whisper flow. I am a big fan of wipe coding but now it's just becoming like zero type. So all I do is that you know I have a uh big screen and uh I just have one keyboard and I just keep on type like pressing the command sentence. I'm just speaking about it and uh whisperflow is giving some really good inputs to my cursor. So can't live without uh whisper flow. Uh one thing what I also really like Indian startup uh Cluso right amazing amazing young kids >> they are fantastic when it comes to creating uh um product demo videos right it's it's pretty cool all I have to do is you know in natural language go through my product demo that click here

this will do this click here and then they'll just create like studio level output uh amazing right so clue Granola, Whisper Flow, and of course I use Super Vidy. Like that's the factor. >> Yeah, absolutely. Okay. Um All right. Well, my personal uh last question to you would just be where can everyone go to check you guys out? >> Sorry. >> Well, my last question would be where where can everyone go to check you guys out? >> Oh, so super witty. S U p r v i t y.ai. A lot of people confuse it. In retrospect, I realized it. People think when I say supervitty they think that you know su p rv vi tty but it's not that it is supervitty.ai we are uh we just launched our new thanksgiving version of our website so there is uh Tim the turkey on our website

and we're offering free gifts to everybody who visits our website. Uh it can be a subscription, it can be a tarot card reading. It's it's a bunch of surprises. So there is Tim the turkey waiting with the Thanksgiving surprise on our website supervity.ai. >> Sounds awesome. Thank you so much. I appreciate your time. Everyone, make sure to please go to supervity.ai. The supervity.ai. Thank you so much for watching and we'll listen to you. >> Thank you so much. >> And we'll see you in the next one. >> What' you say? >> Yes. >> Thank you. Thank you so much for hosting me in those brilliant questions. Loved it. >> Yeah. Thank you. I appreciate your time. >> Yeah. Yep.