This AI Tool Turns Meetings Into Jira Tickets Instantly

Matias Singer: It reduced my time that were four hours to minutes. You you just saw. Like, I just pasted transcript and just populated and suggested me the tickets that we needed to create today.Intro: Built This Week, breaking it down. Built This Week, we show you how. A fresh idea, a clever tweak, you locked in. You builtSam Nadler: this week. Hey, everyone, and welcome to Built This Week, the podcast where we share what we're building, how we're building it, and what it means for the world of AI and startups. I'm Sam Nadler, cofounder here at Rise Labs. And each and every week, I'm joined by my friend, business partner, and cohost, Jordan Metzner. How are doing today, Jordan?Jordan Metzner: Yo, Sam. Happy to be back. Fun, exciting episode we have today. Crazy whirlwind week in AI. So lots, lots, lots of stuff going on.And, yeah, super excited to show off, some, Rise products today.Sam Nadler: Yeah. We're gonna jump into the world of Rise and what we build here internally. Internally. And we have a special guest, a teammate of ours, Matthias. Give me a really quick introduction of you and your role, and then I'll go over what we're covering today for the agenda.Matias Singer: Thank you guys for having me. So I have been working here with you in ViceLabs for five months. I started as a TPM for Entravista. In the last two months, I started developing and building with the help of AI, Cloud, Codex. And today I'm here to show you my app that is automating and simplifying my day to day job.Sam Nadler: Amazing. So as Matthias mentioned, we're going to cover a really functional and helpful app that he built literally for his own kind of use case that we've now expanded to multiple teams in our organization. And in addition to that, just because it's been a focus of ours, kind of our second segment is just about how we've encouraged the adoption of AI across our entire culture and different non technical organizations. I think Matthias is a great example of that. And then lastly, as always, we're going to cover the news.But before we transition to Matthias, don't forget to like and subscribe. We have new episodes out every week, every Friday, about to cross over 25,000 subscribers on YouTube. So please give us the support. And with that, Matthias, please, if you don't mind, tell us about RADAR. What inspired you to build it?How you built it? We'll have a ton of questions, but give us the intro.Matias Singer: I started working here in this AI software development back in November with the help of the team and the developers like, Hey, what are you doing to automate your work, your daily work? What are your needs? What is all your repetitive stuff or how many tools you are working with? So the idea was to try to gather all this information in just one place.Sam Nadler: Amazing. So what I think would be really fun to see is if you don't mind sharing your screen, take us through how you essentially like, I think the main feature here and and correct me if I'm wrong. You're you're in it every day. But the main feature here is instead of what used to be, like, a a very time consuming task for you, which was being in meetings, then listening to distilling the meetings, creating all the Jira tickets, assigning all the Jira tickets. You've essentially reduced all that workflow into a couple of clicks and instantaneously.So why don't you give us a quick demo?Matias Singer: The RADAR is available for every employee in our company. So here are the different sections: the board, analytics, transcript, WBR and tail tickets. We'll go through each one of them. And here you have all the projects that are currently in Raider. These are all internal projects from social team, marketing, IT.And here, for example, it will show you all the tickets that are open, the ones that are in progress and done. So here in the sections, you will just see all the boards like the same as you see in Jira, okay? This is basically all the Jira boards and the analytics. So this I started picturing because in our first meetings, we were kind of bored to see just a doc and words and whatever. So I try to turn this into something more dynamic and seeing with charts sometimes give you a better understanding on the things that you want to catch.So that was mainly the idea of this.Sam Nadler: Okay. Show me how, like, it actually works. So you're like, every morning you have a stand up with the engineers, you're recording the meeting via granola. And I think this is like the real, like, key insight you had or or or build you made.Matias Singer: Yeah. So here you can just paste like a transcript from the daily. So for example,Sam Nadler: you go ahead. And as you can see, this transcript's in Spanish. So I'm assuming it will translate this, the transcript. It will identify theoretically different action items based on the call. It will queue them up for you to push them to Jira.Like, I think what's key here is it doesn't automatically push them to Jira. It lets you you know, not everything should be pushed to Jira. So it's it's like, what is really a ticket? Did know, do we need to make any edits? Do we need to change, like, the title, whatever the Absolutely.It's assigned to. But, yeah, walk me through. Now we've got these five tickets from the meeting, but let's assume this morning.Matias Singer: Yeah. So these are the new auction items. So here you can just open each of them. So here you will have all the members that are in the project and you can edit any of the tickets that were suggested. Suggested.So you just can select or deselect as you wish, and then you just created these five tickets into the board.Sam Nadler: Okay. And so compare this to I mean, you've been a TPM for many years. I'm guessing, because I'm not TPM, but I'm guessing you'd be in the meeting, then you'd be writing furiouslyJordan Metzner: Yeah. Yeah.Sam Nadler: Trying to document everything, then taking those notes and, like, spending, I don't know, an hour in Chira or so. Working out is easy to start, hard to stick with. HipTrain fixes that. Real coaches, real accountability, a plan that actually fits your life. No guessing, no skipping, just consistency.HipTrain.Matias Singer: So it was so annoying because if you were presenting, you were not able to type down what were the updates or a lot of times you miss things. You are not a developer. Sometimes you misheard or you didn't get what they're trying to say or how they are going to continue. So these meetings were like the worst thing to have. Like it was so annoying.Get me so frustrated when I didn't get everything. Delays were made because I did not raise the ticket at the time it was necessary to. So all this helped me a lot. It reduced my time that were four hours to minutes. You just saw, like I just pasted transcript and just populated and suggested me the tickets that we needed to create today.Sam Nadler: Have you felt that it's been pretty accurate? Do you feel pretty good that like, yeah, these are the three or four things that like, or five things that we really, you know, that came from our conversation?Matias Singer: Absolutely. We still need to control and be like this overhead on this stuff. But yeah, it's pretty accurate.Sam Nadler: I have two more questions for you. So like, A, what like how did, you know, it's one step to build like a tool on you're using and then it's like slightly, I wouldn't say too complex, but there's like an additional kind of layer to building it for the whole organization to use. And my last question, you can answer this all at once. What future features do you have in store? There are a lot.Matias Singer: Also today I was working in some that you suggested, that the team suggested, like right now to be able to include tail tickets into our WBR report or create a pre meeting section so for all the teams have guidelines and see where they left the day before and how to continue the meetings today with the team, storage for transcript from history transcripts. So today, this tool, although it's helped me and reduced significant times, we can make it more automated. If we can store more transcripts, this tool will help you just giving you guidelines for you to connect with your team. Probably also we can integrate here at Granola some tool like that, that just keep the notes for the meeting and you don't even have to paste the transcript. You just get everything done well once it's finished.So soon it will be just joining the meeting and conducting it. Then we will have everything like transcript here, Jira tickets here, and then uploading them, for example, the WVRs. So here as well, you can just upload a transcript here of several transcripts here, and it will be creating the reports, the weekly reports that we review.Sam Nadler: Yeah, we didn't even cover WBR. So like you could theoretically click the meetings, the transcripts from the meetings you wanted to include in the weekly business review. It could pull those tickets that were pushed during the week. What was discussed? Bring it all together on what was executed, what wasn't executed, and what is like top of mind for the team.Matias Singer: Yeah. For example, this is the one that we saw yesterday. Again, you just upload a file and here's how you look at this.Sam Nadler: Oh, amazing. And then you can edit it obviously.Matias Singer: Yeah, you can edit. This is a new thing that you suggested me yesterday. Again, sometimes it's not perfect. Sometimes it's showing you stuff that probably is not that important. So here you just can edit.This is the overview for these two projects. And then it just segmented into the project itself and gives you the title or subject that we are talking about. You've got all the important matters and the upcoming priorities. So yeah, it's awesome.Sam Nadler: Well, it's a perfect segue, Matthias, because over the last three months, four months, really made a big effort to get our entire team from sales to marketing to TPMs to our recruiters pretty adept and comfortable using the latest and greatest AI tools to build their own projects. And there's one, obviously I think step one of that is just getting people tools. But then there's the cultural shift and the learning shift. Can you guys help provide a little bit of guidance on we, at least how our organization went about kind of making that shift?Matias Singer: For example, we started AI weekly meeting with a developer that is pretty senior and already working a lot with the AI. And we segment it into two days for non technical resources and for technical ones. So in that meetings, just like, okay, especially for non technical, like, okay, what are you building today or this week or how your work is being affected by these tools and how you implement that, how you're not getting behind. We are seeing a lot of stuff. People that never work with a developer, the sales team, marketing, finance team, they are all working on their own apps.And we use that space to speak up, show what they have been building, and there's a lot of Q and A. So that encouraged everyone.Sam Nadler: I think the way we did it, and maybe I think it was been pretty successful. The way we did it was we did a couple specifically for the non technical people. I know we have two different paths. We had, like, kind of an AI adoption path for the technical people who were like it was a bit easier. And then we had an AI adoption path for the nontechnical people.I think we had some just initial demo sessions where someone got up and presented and was like, literally, this is how you do it. It was like just walking them through some very basic builds. And then we gave access to the tools and then we started this kind of show and tell weekly meeting and just really encourage people to build their own tools. And almost every week, I think someone's presenting their new tool. I know like our accounting team has built multiple financial dashboards, whether it's cash flow management dashboards or AP and AR dashboards, etcetera.Social team has built their own tools. You've built their you've built your own tools. Sales team has built their own tools. And it just, created this culture almost of people sharing, seeing how other people are using and seeing people are integrating with tools we already have, such as Jira, Granola, Slack, etcetera. So I think it's just been this evolution of just, like, showing people what you can do, giving people access, and then kind of creating an environment where people can see what other people are doing.Jordan, am I missing anything?Jordan Metzner: No. I mean, I think that's it. We empowered everyone by showing them how to use the tools and then kind of let them go wild. I think, like, you know, it's impossible to have as many ideas as the crowd and the crowd is everyone who works for us. And so, you know, luckily, everyone was able to bring their own ideas to the table in different ways.And then I think, like, also everyone's able to learn from each other, like, oh, this could be cool as like feature suggestions and then vice versa, like, oh, I would want to add that to my application. So I think we're just in the early, early days. I think we're in the early days of like this radar tool just as like an internal tool to be used across the organization to help us manage teams and weekly business reviews, etc. But just in the early days of empowering everybody to be easier, to allow everybody to build easy in an easier format, you know, you know, we're still this is still pretty technical stuff. Still have back ends and front ends and GitHub and a bunch of other stuff that like still requires like some level of complexity.Would say for like a layman. But you could definitely see how we're getting closer and closer to just like being able to like speak to build apps that like help serve you and your needs pretty quickly. So honestly, think, Matias did a really awesome job. I think it's really impressive Incredible. Kind of, you know, the direction of which our organization is moving, which is taking kind of, for lack of better term, like nontechnical people turning them technical, building tools that, you know, help them automate their job, and then turning that into something that, like, helps everyone automate their job, and then, scaling it up from there.So I think you did a great job Matthias and thanks for joining us today.Matias Singer: Great job Matthias. Thank you guys. Really nice to be here and I am amazed and I am really surprised and this short and incredible journey like I don't know if I've been in anywhere like for five months and learned so many cool stuff. So thanks.Jordan Metzner: Cool. It's awesome. Great ThankSam Nadler: you. That was a great internal tool Matthias built. But to jump into the news, I saw this this morning. I don't know if you got a chance to read it, but, know, Allbirds, the famous Silicon Valley shoe company, huge explosion. I forget the time period.Was it the twenty tens? It was, you know, everyone and their mother had had a pair of Allbirds. They were everywhere. I think, you know, hit some rough waters, eventually sold last month for 39,000,000. So, like, a huge decrease in valuation from their peaks, which I believe was over 1,000,000,000.Just announced it's entering pivots to AI. So I I barely skimmed this article, but tell me, what is it doing?Jordan Metzner: Well, I mean, I think everyone knows Allbirds, obviously, or maybe not, but obviously, they were the famous wolf shoe. And, you know, they had a a big hot online presence and they eventually opened retail stores. Amazon copied them. If you remember, there was a whole fiasco and lawsuit there. Amazon made their own like wool sneakers.But I think, you know, it's definitely, you know, peak cycle when a tennis shoe company is going out of business and pivots into a new AI company that is a fully integrated GPU as a service and an AI native cloud solutions provider. I don't know. It feels like peak cycle. So who knows what all, Allbirds or as it's now new, gonna be called Newbird AI will be able to do, but I can't imagine they're gonna be able to gather a whole bunch of investor confidence. So, it looks to me this is kind of like a reverse IPO with some guys with some capital that are kind of like turning it into a new entity and leveraging it off the name.But, yeah, this is certainly obviously a funny conversation to be had. And sad in the sense that kind of Allbirds obviously, like, didn't make it and, you know, has now gone out of business. But, yeah, do have do you have a pair of Allbirds, Sam? Don't lie.Sam Nadler: I never did. I never did. And I there's definitely a period of time where I wanted to get some. I'm not gonna lie about that. And I as I'm scanning through this article, I do remember in 2017 when the Long Island iced tea company pivoted to the blockchain.I do notJordan Metzner: Yes.Sam Nadler: Yes. Yes. I don't remember how that panned out. It's the peak. It's the peak.Jordan Metzner: It's always the peak. Yeah. It's always the peak. Remember what remember the guy in, the guy in, like, Philadelphia who had that, like, crazy business, and it was just like a shed, you know? And he was running this crazy ex in business out of it.So he always when these things happen, it feels like it's the peak market. But Yeah. Anyway Well,Sam Nadler: I wish them luck. We wish them well. So, yeah, that's it's funny. It's exciting. Maybe, you know, we'll see what we'll see what they do in the AI space.But, anyway, lots of things going on. It's always exciting here. Anything to to finish out the episode?Jordan Metzner: No. Really great episode. Obviously, this one's a little bit different as we were able to bring, you know, one of our teammates in, Matthias, and show off what he he is building. But I think it's all within the ethos of Built This Week and kind of what our podcast is all about, which is, you know, building AI products to serve your own personal needs and corporate needs. And, I think he did a really great job building something that's gonna be pretty scalable within our organization and, you know, could be scalable with on that beyond that.So, yeah, really fun to chat with him. And, yeah, it was a really, really fun, exciting episode.Sam Nadler: Yeah, totally. I mean, one of the things that I'm most proud about of Built This Week is like actually presenting builds that people probably can just get inspired from and apply to their own organization right away. And, also, I think we've done a really good job of, like, you know, inspiring a a sense of purpose with AI, especially with our nontechnical teammates and instead of, like, you know, creating a culture of fear, a culture of empowerment. And I think we're able to demonstrate that with Matias. And this is all really new for us, but it does seem like we're getting questioned by some of our clients about how we're doing this.So it's just really exciting, in my opinion, not a state of fear, but a state of excitement to, like, be, you know, inspiring people to use AI.Jordan Metzner: Yeah. I think it just shows how how empowering and how powerful it is and democratizing it is. And, yeah, I mean, I think we can talk next week about what impact this has on the software industry overall. But, yeah, it just shows how AI just allows for a non zero sum game, you know, and allows for you to build something from nothing, you know, really quickly. And, you know, I think, you know, Matthias told me he's so proud of what he built.You know, he showed his his girlfriend and he is just saying, you know, how happy he was about, you know, being proud of something, you know, building something from from the ground up. So anyway, great episode. Really fun to chat. Can't wait till next week's episode, Sam. I will see you soon.Don't forget to like and subscribe. See you soon, everybody. Have a good one.Sam Nadler: Thank you. Thank you.Jordan Metzner: Bye bye.