AI Tinkerers - "One-Shot"
00:58:07 · Joe Heitzeberg, Luke Harries
[00:58:07] S1: Mhmm. Yeah. That'll be a... That'll be fun. It's it's great to see that. And so so automated so you could have it. Your cake could eat it too. So we've seen, you know, the rise of these... Any unexpected use cases where you're like, yeah, people using ElevenLabs in this way we never anticipated. [00:58:23] S0: I'm just continually amazed by how big companies are being built on conversational AI. Because if you think about the number of jobs which are, like answering the phone. And so one example, hotel receptionist in Guatemala. Mhmm. Apparently, you can build a massive business building AI just for hotel receptionists in Guatemala. Yeah. Because currently, they're spending hundreds of dollars per month on a hotel receptionist per hotel. Yeah. And so the the biggest surprise is pretty much every single niche, whether it's like dental clinic receptionist, whether it's customer support, whether it's sales, like, every niche of every country of every industry [00:59:09] S1: Right. [00:59:10] S0: If you... I think if you just go really deep in it, you could build a massive business because the amount which is currently spent. And then you use like that as your wedge into all the other tools and workflows and becoming a system of record. [00:59:21] S1: That's amazing. I have to say, like, I think for my tinkering in Gen AI and things being so amazing, and so much experimentation happened, this is very early on. I think ElevenLabs was also the first where the whisper rumor numbers of the revenue growth [00:59:37] S0: Yes.
00:59:37 · Luke Harries, Joe Heitzeberg
[00:59:37] S0: Yes. [00:59:37] S1: Was... It was the first case where I was, like... Felt enormous sense of relief because the number was large. This was a few years ago now, you know, very early before. I mean, now we talk about Cursor's revenue and everybody brags about their revenue, but before anything, it was a whisper number, and I was very relieved. I was like, great. There's there's there's gonna be big businesses in this space. [00:59:58] S0: Yes. [00:59:59] S1: And I'm sure just from what you described, it's continued. Let's see. How... Switching gears really quick, and I know this is going pretty long. I don't know how much time you have before we wrap. But back to your... The start of this conversation, you know, your Renaissance background. Right? And so you're not just an engineer, obviously, but you have this ML piece, engineering, growth, product, entrepreneurship. What are the meta ways in which you use AI throughout all these things? Yeah. So I've talked to some people around their meta workflow. You know, how do you go from customer input to like shipped code and and BRD, PRD, if you wanna call it that or... Yeah. What is your... You know, because I think I find that people like you have are using AI... AI first, AI native. Yeah. What are those tricks that
01:00:51 · Luke Harries, Joe Heitzeberg
[01:00:51] S0: you just come workflow is interesting. We've set up more and more of this recently. One I've been really surprised how useful it is is Gong. So we have a sales teams who are constantly doing these sales calls. Mhmm. And every sales call, there's just like an absolute gold mine of, like, user wants, user needs, objections Yeah. Competitor analysis, where you're falling flat, etcetera. There's so many of it. Well, we have now tens of salespeople all gathering all these tens of salespeople making tens of cool hours of data. And what we've set up at Gong is you... It automatically analyzes all the transcripts post the call for particular threads and pulls them out. So the, say, conversational AI AI team has a constant thread of just, like, fit every single call. This is, the areas of weakness that we need to fix, and then that goes into the road map. And that... I think there's definitely more we could do in terms... Like, the [01:01:46] S1: I can envision a... Something that's an agent that's looking at your code base and that that. And it's like, it's literally a twenty four seven dynamic road map. [01:01:55] S0: Yes. Yeah. Yeah. Yeah. And there's this interesting thing of like, if you view software engineering as a system or as a factory [01:02:02] S1: Yeah.
01:02:02 · Joe Heitzeberg, Luke Harries
[01:02:02] S1: Yeah. [01:02:03] S0: Like what goes in, user wants and needs. Yeah. What goes out, ship code. Yeah. And like, in the middle, you have different people doing different parts and shaping different things. Yeah. I don't think we're yet, you know, at the level where we're we're fully automating. But maybe to name a few other tidbits of like processes we've done. So one is we've done that. [01:02:22] S1: Uh-huh. [01:02:22] S0: And the other one is then like, okay. We actually sign up a user. They have a great case study. Then we now have this great case study flow, which is we do a half an hour call with them using granola with their permission. Yeah. We then take the granola and paste that into a Claude project with previous examples, what makes a great great case study, etcetera. Yeah. And then that outputs first shot, like, it's 95% of the way there an excellent case study. And you're able to get that because you're feeding in that rich granola set of those. Cool. That's [01:02:51] S1: great. That's that's And going on the blogs of case study. Heard this website. [01:02:53] S0: Yeah. Yeah. That thing goes on case study. And it will also say, like, we suggest you add this picture. Yeah. And then that goes to our to our team. That's great. And [01:03:01] S1: It pains me to think of all the people who are wanting case studies or producing them in some not AI needed way. [01:03:08] S0: I know. [01:03:09] S1: And to hear how simple that is. Right? Yes. Surviving.
01:03:09 · Joe Heitzeberg, Luke Harries
[01:03:09] S1: And to hear how simple that is. Right? Yes. Surviving. [01:03:11] S0: It's it's great. The... I mean, I actually just shipped today just before this call, like, a chat GPT [01:03:17] S1: Mhmm. [01:03:17] S0: Which is trained on our tone of voice and tweet threads and everything. Perfect. And I said, all new external customer comms has to go through this because they will, like, align it, touch it up, make make sure it's all on brand. [01:03:28] S1: Perfect. What do you use for generation at the end of the day? Which mod, Gemini? Or what do you [01:03:32] S0: And that one, I actually... We have a chat GPT team subscription. Okay. And you can just ship GPTs within it. Oh, okay. And so that felt like a [01:03:40] S1: Open great AI. [01:03:41] S0: Yeah. Open AI. Cool. Other bits we do we do... I mean, code the entire team is in... On cursor. [01:03:49] S1: Mhmm. [01:03:49] S0: And I think there's a big opportunity for... Oh, I mean, for all our marketing videos, we use ElevenLabs. Yeah. Speech tech... Text to speech. Yeah. We also use sound effects a lot. Yeah. Like, sound effects is probably the most underrated model for marketing and video use cases. And... Yeah. ElevenLabs. Yeah. 100%. One thing I'm not if you've seen is we've shipped a soundboard as [01:04:15] S1: well. Have you seen this? Uh-uh.
01:04:15 · Joe Heitzeberg, Luke Harries
[01:04:15] S1: well. Have you seen this? Uh-uh. [01:04:17] S0: Let me just turn back on my screen. ElevenLabs soundboard, where you can like... Actually looks pretty amazing. One of the engineers built this in a week, but you can, like... Oh, I'm gonna back up the audio. But, it's like... It looks beautiful. It's styled on on summer brawn stuff, and you can assign any sound effects to it keys and so [01:04:42] S1: Imagine for video games, it's gonna be great. You know? I don't know. Like, some of the biggest budget video games that have ever been created, I'm thinking Grand Theft Auto. Yes. Have you ever noticed all the car horns are the same horn? It's like Yeah. [01:04:52] S0: Yeah. Yeah. [01:04:53] S1: For all of the realism, the horn is like for every car. [01:04:56] S0: I think I think gaming's gonna change completely. I mean, one, you have that. Yeah. Two, like conversational AI characters in games is gonna [01:05:06] S1: be amazing. [01:05:06] S0: Walk up to character, live conversation. [01:05:10] S1: Let's even create new genres of games that we even thought about. It's gonna [01:05:12] S0: be And the part which is real... Really wacky is like, what does an AI first game engine look like in the world of, like, Sora. Yeah. Sora and Bio. I think it's gonna change completely. [01:05:22] S1: It's gonna be amazing. Well, let's try to move to wrap up a little bit. Yeah. I'm very curious kinda more rapid fire style. Like, how do you keep up with the rapidly changing landscape? What are your go to resources?