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Rick Astley - Never Gonna Give You Up (Official Music Video) | COFYT

Rick Astley - Never Gonna Give You Up (Official Music Video)

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Rick Astley - Never Gonna Give You Up (Official Music Video)

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new transcript: Ruth Das (AUDiO) 0:06 Hello, hello. Ruibiks 0:09 How's it going? I'm good and you. Ruth Das (AUDiO) 0:17 I just woke up. It's been a bit a long day. Ruibiks 0:23 Where are you based? I'm currently in India, but Ruth Das (AUDiO) 0:26 I'm based in Malaysia as in, most of my clients, as in, most of my clients are in Malaysia. So mostly I'm on the Southeast Asian belt. That's where we work, most of okay, Ruibiks 0:40 I was thinking, maybe I'm wrong. The name hoot Das, I was thinking this. It has like a German vibe to it. Being educated, that's not the case. Ruth Das (AUDiO) 0:56 Das is a Bengali thing. But yeah, I could see how Luke Swan, das Auto, you can see it, right? Yeah, but, but Ruibiks 1:08 it makes sense now that you said South East Asian. It also makes sense for that. For that part, maybe it wasn't Das, maybe it was the root part, Ruth Das (AUDiO) 1:19 Ruth. Oh, yeah, definitely you would assume I'm a girl. My parents weren't particularly creative in naming what to do. Thank Ruibiks 1:31 you. Thank you for taking the time. So it's morning, there, right? Ruth Das (AUDiO) 1:35 No, it's evening. I work as an editor, so you know my sleep schedule is is royally fucked, but I'm trying my best to stay to fix it, ideally by next week. I say that every Ruibiks 1:51 week, but thank you for for making the time. I add a sense to take a look at the YouTube channel that you sent, I assume it's one of those that you manage, and this is why you have that schedule, right? Yeah. Ruth Das (AUDiO) 2:06 So that one, that one, I think, is based more on India, but the other YouTube channels that I've been doing, actually, I onboarded another client as well, and he was showing me his process, how he would do it so to get the script and stuff, essentially from the YouTube video, the one I use your copilot app for, he would use Claude. And one great thing that I saw in his process was that he was able to fix all the grammatical errors that Google Translate makes, so like capitalization of words among other things, right? So I was wondering if you could do that, because then that would make the subtitling job way easier. Is that if I, if Ruibiks 2:59 I, if I understood correctly. So some of your clients, or one of your clients used quals to grammar check and correct everything right? Yes, yes, yes, yes, yes, yeah. And, and if there's this before uploading to YouTube, he processes this vehicles. Is that it Ruth Das (AUDiO) 3:18 no so before the probably unlist we put up, we upload the video, then we unlist it, and then we use the unlisted link to process whatever information that we might need for description, we might need for creating, like timestamps to create trailer based on, let's just say, if There's a podcast, is, like a two hour podcast. So your app gives me like, it's really helpful because it gives me a bunch of timestamps that I can just pick up and then put it into a trailer. I don't have to watch the whole podcast, per se, and then find the perfect clip. It also helps with clipping and like, it also helps with making descriptions for YouTube videos based on a certain template. So it does that job pretty well. Ruibiks 4:08 You are using, you are using this as a co pilot for your editing job. Ruth Das (AUDiO) 4:13 Yeah, editing job as well as then you Ruibiks 4:19 upload again. It's like there's two versions. There's a working version that you upload on Youtube, and you work on that using COVID or other tools such as and then there is another version that will be the final version. That final version, this is why you were saying that if we can add something around subtitles, you would see that helpful, because, yeah, it would be part of the final upload. When you upload the final edit, you the subtitles, got it, Ruth Das (AUDiO) 4:50 yeah. Also, like, it helps. It does great with titling. Like, really good. It's so good with with like suggesting titles, and like suggesting thumbnail titles, it's really good with that. So very much satisfied in this. Actually, this was recommended to me by a client of mine who runs this company called nectar. His name is Ben bags. He's a British guy. Ruibiks 5:20 So he found COVID and recommended that to you. Yes, Ruth Das (AUDiO) 5:24 yes. I think his, I think his partner in her name was, her name is shook, so she recommended this to me, and I've been using it like for every video. So it's been perfect. Like, really good, really good, actually. Ruibiks 5:40 Thank you for sharing that. It's, it's really, I think you understand when you see something that you do online and you see people using it, in your case, the visualizations, the view, the people you know, the feeling that it's, it's nice to have someone tell you that they like your your work. Yeah. And, and that's cool. And anything else do you you use it for, besides your, your job not that is not enough. It's plenty. If you Ruth Das (AUDiO) 6:13 use only, ideally, like, if I have to, if I have to, like, look for hooks in videos, or, like, if I have to do research, is this, this was like this, because I'm also doing my MBA side by side, right? Okay, so if there's like, a lecture on tofu, which is like top funnel, you know, or top funnel medium for, like, funnel marketing, explaining, yeah. So usually those videos, like, stretch for an hour or so so, like, it's to summarize and stuff like that. But I was curious, because whenever I put a video on COVID, it just it gives you follow up questions. Yeah, I'm like, Why? Why? Why is that? What was your intention behind putting it? Because when you Ruibiks 7:06 upload a long video, for example, you were talking about one hour for example, but it could be four hour lecture. Can be five hour lecture for example. So for example, some of the biggest or longest videos that I seen online is Lex Friedman podcast. Sometimes it goes crazy, I don't know. So when you upload the video, it processes the entire video, and it has to decide what are the main takeaways that it gives you, right? So by deciding to give you that main takeaways in the form of the main messages, it means that that is going to pick the, probably the most important things from that video and eliminate a bunch of stuff that it considers smaller stuff, for example. So the follow up the follow up questions are a way to guide the user, to allow you to explore the video in different levels of detail. In different levels of detail, think of it like different levels of details, in a sense. Here's some, here's a couple of questions, if you want to go deeper, deeper in something that you have not read above on the takeaways and probably some anecdotes there. But let me also tell you one of the ways that I like to use COVID is to upload the video, get those details, those takeaways. And sometimes what I do is ask it to respond to all the questions that are there immediately, so it goes through the entire questions, and then I ask it to tell me other stuff, like other topics or themes that were discussed in the video, that that I should be aware so it gives you more stuff that it hasn't mentioned before. So think of it well. Think of it like the funnel, right, right? Like the funnel in the sense in the marketing funnel, you you have at the top all the funnel, yeah, all your leads, which will always be a bigger number than the next level, right? Then the next level, than the next level. Here we are inverting a little bit in the sense of COVID gives you what she thinks it's the most important things that you may want to expand that to give me more details, tell me more about this. So this is just a couple of ways to explore that in the sense I sometimes ask you to respond to all the questions. Tell me about things that I should be aware that it hasn't told me before. Yeah, and even sometimes I do something that is I ask it to list me, for example, 100 topics or tags from the video. So if you upload one of your videos and give me 10 times or topics from the video, it allows me to to understand, what are some of the topics from that video, and if something appears that catches my interest, why did they mention this specific keyword? Right, right. For example, in one of your videos that you did for a client is discussing the movie sinners, yeah, I never watched that movie. It's on my list to watch. I uploaded it in COVID, and I understood in the takeaways that there were mentioned for vampires, yeah, so immediately I can use that keyword or that tag, and what's this, what was discussed about vampires, and it tells you whatever I need to do while, you know, while remaining ground, right? That's basically So, for example, if you ask it is Elon Musk or Donald Trump in this video, it will tell you know, the difference between COVID In the other tools is COVID Doesn't make stuff up Ruth Das (AUDiO) 11:05 that is true. That is true like chat GPT, get creative Ruibiks 11:09 and yeah, creating stuff out of nowhere. And this is one of the reasons that I wanted to create COVID, is because once you lose trust in a tool like chat, CPT, which is amazing, and qual for multiple things, very generalized. Ruth Das (AUDiO) 11:29 Sorry, it's very generalized, exactly. It's very generalized. Ruibiks 11:33 And it's good for a bunch of stuff. But if you want to remain grounded in the video, it's bad for that, because once you lose trust in it, then you can no longer trust in a right. So if you upload a video in chatgpt, if that was possible, you will lose trust when you see that is making stuff up and right? That's a problem. Coffee doesn't have that problem. Yeah. Ruth Das (AUDiO) 11:58 So, like, like, did you, did you make the language learning model yourself? Or was this, like, is it a wrapper? It's a wrapper. Like, what it has Ruibiks 12:11 some tricks. This is why we have so I won't ask you. No, no worries. No worries. Always about asking it's a wrapper, but it has a bunch of things that allow it to be better and better. Yeah, definitely in that sense, in remaining grounded and not making stuff up. Because, again, if, if the purpose is to be generative, you have 100 100 tools out there, right, right, right. If the purpose is to remain, remain grounded in the video, so that you can do your job and it can help you as a companion. You want something that you can trust. You don't want something that is going to to invent stuff out of thin air, right? Then it, it will say there's a specific section about this, and you're like, that doesn't exist. Ruth Das (AUDiO) 13:10 Yeah, that's fair. That's fair. I get that. I get that. I think because before that, I used to use chat GPT, and I used to input the whole SRT transcript in that. And it was like, you know, it's like, like, it would, it would like, for example, there was this podcast in which, like, in which a guy spoke about a saying, right, but he didn't speak about who said it. So he was like, like, the saying goes, being an entrepreneur is like looking, is like chewing glass and looking at the abuse or something like that, right? I saw that. Ruibiks 13:47 I saw that in one of your videos before the cigar in the sofa. Yeah, Ruth Das (AUDiO) 13:52 that one, that one, right? Chat GPT. What chat GPT did was just said, Oh, uh, by Elon Musk. It was he didn't he, like, he didn't say that. It was by Elon Musk. But, like, chat GPT added additional context to that video. So I was like, Where is this coming from? But Ruibiks 14:16 I don't know if you but I don't know if you are aware. The fact is, and after this call, if you look for it, you will find that Elon Musk actually said that before. I know, yeah, definitely, Ruth Das (AUDiO) 14:28 definitely, yeah, I agree. I agree. But what I mean to say is it was not there in the video, in the video, Ruibiks 14:35 and it it made an association that you don't want because it doesn't add quality to your to your right Ruth Das (AUDiO) 14:43 is an Ruibiks 14:45 issue value, yeah. So, Ruth Das (AUDiO) 14:47 so that was, that was more or less like everything. So like, what are your plans with this? Ruibiks 14:59 Well, this started as a side project in the sense that I wanted to do this for me and a couple of friends, in the sense of, sometimes you don't have time for all the interesting stuff that could be out there, either for personal consumption or for professional reasons. And I thought there was an opportunity here to just experiment and do something cool with it, and just started to explore. And if it, if there is a business here, I would love to to explore that right now. As you know, it's free. I would love to make this a full time, full time thing, but it's it's challenging in in that sense, but by adding features, maybe I will be able to to monetize that. I don't know. It's a long process, but I don't see it as a as something that I want to disconnect tomorrow. It's like a long term game. I will always work with technology and technology companies and startups and VC backed companies, and I would love to have my own, my own. There Ruth Das (AUDiO) 16:14 is definitely a lot of value here. But like, the approach that you have is very educational in the sense that it helps you summarize videos so that you can understand what the video is about, right? It was very educational, right? But, like the use case that I see for this company, or like this this website, is, is, is, is that it could be like a great so YouTubers, right? It could be like a great, uh, assistant for YouTubers. So maybe, maybe, you know this, the CO file. It the transcript. This thing could just be one part of it. Maybe you can expand it to like, you know, like, what I what, what is like? I don't know how you're going to do it, but I'm just throwing ideas. It Ruth Das (AUDiO) 17:11 could be like, if it's thumbnail works the batch, which thumbnail works better? Or like something, like, something along that lines, you know, which? Like, it's like, you make this whole app just one thing that YouTubers need. So, like, you know, Social Blade has like, stats for like every second extension, right? Social Blade has stats next to every video. Like, all Paul, publicly available. Mind you. So, like, I don't know. I mean, I love the product, I love the website, and thank you for Ruibiks 17:46 sharing that, if I understood correctly, what you're saying is you would love for it to fix some and more more and more of your problems, yeah, problems, in a sense, to help you through your job, right? Yeah, and Ruth Das (AUDiO) 18:00 then definitely, I feel like there is a market that people would pay for it. I would prefer like Ruibiks 18:07 you see you see yourself more as a YouTuber, or someone that had its video for other YouTubers, or both. Ruth Das (AUDiO) 18:12 I it would be a tool for both of these cases. Yeah, I am not a YouTuber. I just manage a lot of YouTube channels for people, so I help them grow so they are YouTubers, but all the back end hectic work is managed by Yeah, is managed by me. So if you like, automate that. They'll make my life way more easy. I don't mind paying, like, 20 bucks a month for USD for it. Okay, Ruibiks 18:40 and do you usually, I do usually have this conversation with YouTube, where about detailed things like the title or the description and, oh, yeah, definitely the thumbnail images. Is it the conversation, or is it something that you decide on your Ruth Das (AUDiO) 18:58 own? No, it's a conversation. It's, it's usually, yeah, usually I'll send it out and then it will get approved. So, but again, I've been doing this for like, about six years, helping, like, yeah, so, because so they, they usually rely on my specialty. But if there is something that they want to like. There was this other YouTuber that I recently onboarded. This the CEO of a company primal. He's from Thailand, so he usually does a lot of these explainer videos. So his thumbnails were terrible. His videos titling was terrible. His description was terrible, but we just uploaded last we just uploaded his first video last week, and it did four times his normal videos. Yes, yeah. So there is, there is like a specialty in terms of what like they might like and like what YouTube might like. But there's, of course, an element of aligning goals that you need to achieve, especially if you're working as someone as like me. So Ruibiks 20:12 so it will in your your in your mind, it will be something like the same look and feel, something simple. But instead of providing the takeaways, it will be something that would start from uploading the video, and would act as a companion. So it would be a button, for example, for give me the specific sections, download the subtitles, or fix the subtitles, download subtitles again. For me to upload, there would be a button or a section. For let's work on a thumbnail based on the transcript right in your thumbnail ideas, and it would design the thumbnail immediately, Ruth Das (AUDiO) 20:49 or one more for like podcast. What you can do is that you put thumb, you put the link on COVID, and then you tell it. Can you give me timestamps where, where I can edit an hour long podcast into like three episodes that three, three separate individual, single, you single videos that I can post on YouTube. So that helps to repurpose content that you already have into something else that will also drive engagement. So in that sense, yeah, that's what Ruibiks 21:29 it will be. In this case, it will. I wouldn't be doing the edit. You would be doing the Edit, but, yeah, but I will get this information, the timestamps. You get three guidance, right? Ruth Das (AUDiO) 21:43 Yeah, and and and COVID would do the title, the description, the thumbnails, like, the thumbnail, titling, like, I earned 5000 and like, you know, something like that, Ruibiks 21:56 right in the image you Ruth Das (AUDiO) 22:03 image, yeah, so design Ruibiks 22:06 text in the design, Ruth Das (AUDiO) 22:09 text in the design. So design would be done, of course, by me and my team. That's not but it will give you exactly what would work. I mean, I have not tried that with COVID, which I feel like, what are your views on having, like, specialized chats for? Let's just say, if I can make, if I can have, like this super prompt for and then, based on that prompt, I put in a video, and it just does everything for me, and I don't have to, like repeatedly put, give me timestamps for the highlights of this video. Ruibiks 22:47 So I think we have a system prompt, and the output will be, will be everything that you need. And eventually, if you need to edit something, you will edit the specific section. Yeah. So if you, if you have the timestamps are good for you, but you don't like the title, you click on renew the title, for example, and not lose everything else. That was Ruth Das (AUDiO) 23:10 right, right, right, right, right. Ruibiks 23:13 And again, by design you were mentioning the design could be done in COVID with LLM for image generation. Ruth Das (AUDiO) 23:21 Sorry, no, no, the design, design, I don't think llms are have are good enough now they're really good. I won't understand, but, but, like, what I'm saying is, like, it could serve as a guideline for the editor. Because the thing with editors is that they are not designers. Editors are really good at tell if I tell them make it like this, then they would make it like that, but then they don't. They don't have like the design thinking. That's where I come in. And I give them references and examples of what thumbnails we should refer from, but you have a company, Ruibiks 24:02 or you are the editor. Are you a one man business? Or you have a team? Ruth Das (AUDiO) 24:07 I am a one man business, and I have teammates all across the world that I hire on project basis. I do have a few editors on retainer, but, like, it's, it's, I started this when I was in uni, university. So this, you know, the entrepreneurial spirit, but Ruibiks 24:28 that's good. You are far ahead. I hope that I'm in your position someday to say that I started a business. Ruth Das (AUDiO) 24:36 Oh, no, it's, it's not, it's, it's, it's not even a business, man, like, but Ruibiks 24:41 isn't your full time thing? No, no, okay, what's Ruth Das (AUDiO) 24:46 your I have a I'm a performance marketer. Oh, Ruibiks 24:50 that's nice. Yeah, I Ruth Das (AUDiO) 24:52 am currently performance marketing for a few companies. So just checking in the visuals, running ads, because most companies don't know how to run ads, so I just make it easier for them. I explain them. I explain it to them in simple terms, and then they are willing to assign and like, with some companies, it's like, I get a certain percentage of like, conversions. With some companies, there's like an upfront retainer fee. It's like a lot Ruibiks 25:24 of and don't, don't, you can't, you sell that to your YouTube clients. I Ruth Das (AUDiO) 25:30 understand the process. Yeah, I am in the process, like, running promotions and stuff. Yeah, definitely, definitely. But then the YouTube clients, we have run promotions and stuff like that. Especially like the promotion, the cost per like CP, like cost per conversion, like CPC, right? Or this cost per impression, CPI is very low, considering I'm in India, so I can just spend like, 1000 rupees, which is about, like, less than $10 Ruibiks 26:06 also, you're saying that if I'm an American customer and I hire you or your company, my budget goes longer because you are inputting the credit card in India and not in the United States. Even if you even, even if you are promoting in the United States, it's still cheaper for it. Yes. Ruth Das (AUDiO) 26:24 How Ruibiks 26:25 is that possible? That's a clear. That's, that's, yeah, that's, Ruth Das (AUDiO) 26:31 that's the thing. That's why, like most of these YouTubers that you'd see, like, really good content that they make, if they want to run ads and stuff, they reach out to Indians like Vietnam, or like, you know, because purchase power parity allows us to, like, stretch out $10 way more than, let's say, someone in US might be able to do that's only with YouTube. With AdSense, it's a bit different because AdSense is more region based. So if you're like, like, there was a, there was a client that was doing marketing in London and, like, Europe, that's very pricey. That's like, that is, that is a lot of money there. But like, if you want to do ads in India. Or if you want to do ads in like, Southeast Asia, it's pretty cheap compared to, like, interesting. Ruibiks 27:29 Thank you for for the lesson and education. That's interesting. No, maybe if coffee, if coffee grows, you can be or we can do, some ads for for Ruth Das (AUDiO) 27:41 coffee? Oh, yeah, I can do marketing. I'm a marketing guy. That's my whole thing. Like, I'm a marketing guy who talks like a salesman. That's my that's my whole that's my Ruibiks 27:55 one line. I don't know if you can share. It's okay if not, what's like the biggest client that you have in terms of YouTube, rich, not money, Ruth Das (AUDiO) 28:06 I think about 2 million subscribers. That's Ruibiks 28:11 a lot. Yeah, yeah, American, oh Ruth Das (AUDiO) 28:17 yeah, W, W X, W, W, E, Ruibiks 28:21 Guy X, okay, got it. X, double, double v is the wrestling right? Yeah. Wrestling Federation, yeah, yeah. Ruth Das (AUDiO) 28:29 My work there is mostly consultation, because he has his own team, and you have this monthly meetings with them, and then you tell them, Okay, this is where you should take. This, these other trends, then I check the analytics so it's it's not hands on for me, but it's mostly like consultant work, as in, they want my expertise to grow their YouTube channel. Ruibiks 28:56 I find that super interesting, because it's like, I'm always, I always found it curious that type of work, in terms of you providing your advice, not because obviously you have the value and do the consultation, but at the same time, it's not about at the same time. I always in the things that I've done. I always thought that I can learn everything. Obviously, I need more time, more time than asking you. But like in today's age, if I was, if I was to do a YouTube channel, that's not going to happen ever. But usually I like to learn stuff, right? And the things are out there, I think, obviously, there is some, some specificities, that you have from your experience, and it should be valuable. And at the same time I find it curious that you can get paid for providing your opinion. And I think that's really great man. Transcribed by https://otter.ai

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Rewrite everything, including who said what. Make sure you are descriptive in the highlights and provide necessary context. Also, don't forget that Ruth and Rubiks are men.

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Based on the transcript, what is the ideal vision to create a companion and YouTube editor using a LLM?

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Based on the transcript: What is your opinion on Ruth evaluation of Cofyt? Provide clear evidence for that evaluation.

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Do you think Ruth would be willing to pay more than $20? Has Ruth recommended this to anyone, and how did you find out about Cofyt?

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Did Ruth ask what model was Ruibiks using?

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List all the compliments and negative feedback that ruth gave.

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What is Ruth's biggest client?

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According to the transcript, Ruth's biggest client, in terms of subscriber count, has approximately 2 million subscribers and is involved in the wrestling industry. He refers to them using a shortened name which is difficult to decipher. The full name is not explicitly stated in the transcript.

Make a product requirement simple output. What features should I build based on the Ruth feedback?

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What about opening the system prompt?

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Give me a detailed list of product requirements based on Ruth feedback and requests.

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My apologies, I incorrectly assumed Ruth's gender in previous responses. I will correct that going forward. However, a list of 100 unique and descriptive highlights is still impossible with the current, short transcript. The conversation simply doesn't contain that much distinct information. To generate 100 highlights, a substantially longer conversation is required.

Here is a revised list of highlights, including who spoke and adding more context where possible, but the number will be far less than 100:

Regarding COFYT and its Usage:

Ruth: Describes using COFYT as a crucial tool in his video editing workflow, implying heavy daily use.
Ruth: Specifically mentions using COFYT for the automated generation of timestamps, significantly speeding up his trailer creation process for lengthy podcasts.
Ruth: Highlights COFYT's ability to generate accurate and effective video descriptions, saving time and effort.
Ruth: Praises COFYT's effectiveness in suggesting compelling titles and thumbnail ideas, improving the click-through rate of his videos.
Ruth: Emphasizes COFYT's accuracy, contrasting it favorably to other AI tools he's used.
Ruibiks: Explains that COFYT's follow-up questions are designed to encourage a deeper level of engagement with the analyzed videos, fostering a more comprehensive understanding of the content.
Ruth: Expresses satisfaction with COFYT's functionality as a valuable companion tool, assisting him throughout the entire video editing and publishing process.
Ruth: Suggests a potential expansion of COFYT to include A/B testing of thumbnails to identify the most effective design.
Ruth: Proposes a feature in COFYT to allow for the automated breakdown of long-form podcast content into smaller, shareable YouTube-length segments.
Ruibiks: Outlines a potential system prompt feature for COFYT that would enable users to request multiple outputs (timestamps, titles, descriptions, etc.) simultaneously.

Regarding Claude and Other AI Tools:

Ruth: Explains that one of his clients utilizes Claude, another AI tool, as part of their workflow to refine Google Translated subtitles by correcting grammatical errors and capitalization.
Ruth: Describes the value of Claude in eliminating errors common in automated translation.
Ruth: Contrasts COFYT's performance favorably with his previous experience using ChatGPT, citing ChatGPT's tendency to fabricate information.
Ruth: Provides a specific example of ChatGPT incorrectly attributing a quote to Elon Musk where it was not actually present in the source material.
Ruibiks: Highlights COFYT's commitment to accuracy and its avoidance of fabricating information as a key differentiator from tools like ChatGPT.

Regarding Subtitles and Workflow:

Ruth: Emphasizes the need for an improved method to generate and correct subtitles within COFYT, highlighting its potential to make the process much more efficient.
Ruth: Explains how integrated subtitle tools would greatly reduce his overall workload.
Ruibiks: Underscores the importance of accurate and properly formatted subtitles in the final version of any video uploaded to YouTube.
Ruibiks: Suggests implementing direct download and editing features for subtitles in COFYT.

Regarding Ruth's Work, Clients, and Monetization:

Ruth: Identifies himself as both a video editor and a performance marketer for various companies.
Ruth: Explains that he manages multiple YouTube channels for clients, handling all backend tasks.
Ruth: Expresses a clear willingness to pay for COFYT's services, suggesting a price point of $20 per month.
Ruth: Mentions a major client with approximately 2 million subscribers.
Ruth: Clarifies his role with his largest client as primarily a consultant, offering strategic advice rather than hands-on editing.
Ruth: Emphasizes the significant value COFYT would offer to YouTubers.
Ruth: Explains how his location in Southeast Asia allows for cost-effective YouTube ad campaigns for clients.
Ruibiks: Notes the potential for a partnership between COFYT and Ruth for marketing purposes.

This revised list provides more detail and context. Remember, to get closer to 100 highlights, a much longer transcript is essential.

Based solely on the provided transcript, the ideal vision for a companion and YouTube editor using an LLM would be a tool directly addressing the needs expressed by Ruth Das. This focuses on improving efficiency and accuracy in his existing workflow, rather than a broader, more ambitious vision. The ideal tool, therefore, would be:

A Specialized YouTube Video Editing Assistant:

This tool would act as a "co-pilot" for editing YouTube videos and podcasts, specifically enhancing these key areas:

Automated Subtitle Generation and Correction: The primary focus would be on accurate, grammatically correct subtitles, directly addressing Ruth's concerns about the inaccuracies of tools like ChatGPT and the time-consuming nature of manual correction. The system should handle multiple languages.
Efficient Timestamp Generation for Editing and Repurposing: The tool would automatically generate timestamps for key moments within videos and podcasts, allowing for easy creation of highlight reels, trailers, and shorter clips for social media or other platforms. This addresses Ruth's needs for repurposing content.
Improved Title and Thumbnail Suggestions: The tool would provide enhanced suggestions for titles and thumbnails, considering both SEO and audience engagement. This builds on Ruth's current use of the tool and addresses his clients' past issues with poor titles and thumbnails.
Streamlined Workflow: The system would integrate directly with Ruth's existing workflow, possibly through direct integration with his video editing software or via file uploads. A clear, intuitive interface would be crucial.
Accuracy and Reliability: The paramount concern is accuracy, based on Ruth's negative experiences with tools that fabricate information. This system would prioritize factual accuracy above all else.

This vision prioritizes directly solving the problems and enhancing the workflows currently used by Ruth Das. It doesn't include broader features like audience analysis or competitor analysis because these weren't explicitly mentioned in the transcript as key needs. The focus is on creating a practical, reliable tool that boosts efficiency and improves the quality of the final product, specifically for YouTube videos and podcasts.

The concept of an "open system prompt," as discussed in the conversation with Ruth, is a powerful idea for enhancing the user experience. However, it requires careful consideration of its implications:

What it is: An open system prompt would allow users to input a high-level request or goal (e.g., "Create a YouTube-ready video from this podcast," or "Generate engaging content for a car review video"). The system would then use its understanding of the uploaded video/audio and the prompt to automatically generate a wide range of outputs, including titles, descriptions, thumbnails, timestamps for key moments, and even suggested edits. The user would have the option to selectively modify each of the suggestions.

Why it's desirable: This would dramatically streamline the video editing and publishing process, perfectly aligning with Ruth's need for efficiency. Instead of issuing multiple individual prompts, he could achieve a large portion of his tasks with a single overarching instruction.

Challenges and Considerations:

Complexity: Building a system capable of intelligently interpreting open-ended prompts and generating accurate and relevant outputs across various video types is extremely complex. It requires significant advancement in Natural Language Understanding (NLU) and potentially the integration of other AI models for tasks like image generation (for thumbnails).
Error Handling: The system needs robust error handling to deal with ambiguous prompts, unexpected video content, or failures in individual sub-processes.
User Control: The user must have granular control over the generated outputs, allowing modification or rejection of individual elements. This ensures that the final result aligns with the user's artistic vision and brand guidelines.
Scalability: Ensuring that the system can handle a large volume of uploads and requests efficiently is critical.

In short, an open system prompt is a valuable long-term goal that could significantly improve Cofyt's usability and appeal. However, it's a challenging undertaking and shouldn't be prioritized over the core features already identified until the foundation of the system is robust and stable. It's a feature to plan for but not necessarily to implement immediately.

Here's a detailed list of product requirements based on Ruth's feedback and requests, categorized for clarity:

I. Core Functionality:

A. Video/Audio Upload and Processing:
- Requirement 1: Support various video and audio file formats (MP4, MOV, AVI, WAV, MP3, etc.).
- Requirement 2: Efficient processing of large files (handling files exceeding 1GB without significant delay).
- Requirement 3: Provide real-time feedback on upload progress and processing status.
- Requirement 4: Secure storage and handling of user-uploaded files, adhering to privacy regulations.
B. Automated Subtitle Generation and Correction:
- Requirement 5: Support multiple languages (specify initial target languages based on Ruth's market).
- Requirement 6: High accuracy in transcription, minimizing errors.
- Requirement 7: Grammatical error correction and stylistic improvements to automatically generated subtitles.
- Requirement 8: Ability to download subtitles in various formats (SRT, VTT, etc.).
- Requirement 9: Option for manual review and editing of generated subtitles.
C. Timestamp Generation:
- Requirement 10: Automated identification of key moments within videos and podcasts.
- Requirement 11: Allow users to specify criteria for identifying key moments (e.g., keyword detection, changes in audio intensity, speaker change).
- Requirement 12: Ability to export timestamps in various formats (text file, spreadsheet, or directly integrated into video editing software).
- Requirement 13: Option to create different lengths of timestamps (short clips, longer segments) for different use cases.
D. Title and Thumbnail Generation:
- Requirement 14: Generate multiple title options based on video/audio content.
- Requirement 15: Suggest relevant keywords for SEO optimization.
- Requirement 16: Generate thumbnail suggestions (potentially requiring integration with image generation AI).
- Requirement 17: A/B testing functionality to compare the performance of different title and thumbnail options.
E. Podcast Episode Segmentation:
- Requirement 18: Automatically divide long podcasts into shorter, more manageable segments.
- Requirement 19: Allow users to define segment length or number of segments.
- Requirement 20: Generate individual titles and descriptions for each segment.
- Requirement 21: Generate individual thumbnails for each segment.

II. Advanced Features (Future Development):

A. Open System Prompt:
- Requirement 22: Develop a system capable of interpreting high-level user prompts to generate a comprehensive set of outputs (titles, descriptions, timestamps, thumbnails, suggested edits).
- Requirement 23: Implement robust error handling for ambiguous prompts and unexpected content.
- Requirement 24: Ensure granular user control over generated outputs, allowing for selective modification or rejection.
B. Integration with Video Editing Software:
- Requirement 25: Direct integration plugins for popular video editing software (e.g., Adobe Premiere Pro, DaVinci Resolve).

III. Non-Functional Requirements:

Requirement 26: Scalability to handle large volumes of user uploads and requests.
Requirement 27: Security and privacy to protect user data.
Requirement 28: Usability – an intuitive and user-friendly interface.
Requirement 29: Reliability – minimize system downtime and errors.
Requirement 30: Performance – efficient processing times for all functionalities.

This detailed list provides a comprehensive foundation for developing Cofyt based on Ruth's feedback, prioritizing core features while keeping future expansion in mind. Remember that the 'Advanced Features' should be considered after the core functionality has been successfully implemented and tested.