Meeting Title: Brainforge Onboarding Check-in with Greg Date: 2026-01-16 Meeting participants: Greg Stoutenburg, Sheshu Chandrasekar
WEBVTT
1 00:00:13.000 ⇒ 00:00:14.689 Sheshu Chandrasekar: Hey, Greg, how are you doing today?
2 00:00:14.840 ⇒ 00:00:16.480 Greg Stoutenburg: Hey, doing great, how are you?
3 00:00:16.610 ⇒ 00:00:21.480 Sheshu Chandrasekar: Good, good. Just had to take the dog out, so apologies if I’m a little late, but…
4 00:00:21.480 ⇒ 00:00:35.620 Greg Stoutenburg: Good. Yeah, well, I guess since I’m your onboarding buddy, I can tell you that meetings around here consistently start one to three minutes late, which has been a departure for me. I was at a… I was at a company run by a Dutch CEO,
5 00:00:35.620 ⇒ 00:00:41.770 Greg Stoutenburg: Most recently, and let me tell you, you were late if you, like, you had a margin of seconds.
6 00:00:41.770 ⇒ 00:00:42.990 Sheshu Chandrasekar: No way.
7 00:00:42.990 ⇒ 00:00:55.109 Greg Stoutenburg: Before you were late, like, he’s like, no, like, 1 o’clock is 1 o’clock, 2 o’clock is 2 o’clock, it’s not 2.02, it’s not 2.04. And he would just say, like, even for him, he’d be like, if I’m late, start without me.
8 00:00:55.110 ⇒ 00:00:58.909 Sheshu Chandrasekar: No way. Did he have, like, a stopwatch of some sort? Like, I’m so lost.
9 00:00:59.280 ⇒ 00:01:00.929 Sheshu Chandrasekar: Oh, wow, that’s…
10 00:01:00.930 ⇒ 00:01:05.830 Greg Stoutenburg: I mean, it’s just… and I guess the calendar… the assumption is that everybody’s clocks are in sync.
11 00:01:05.830 ⇒ 00:01:06.220 Sheshu Chandrasekar: Yeah.
12 00:01:06.220 ⇒ 00:01:11.990 Greg Stoutenburg: So, anyway, no, that’s, that’s, anyway, that’s a fun way for me to say I didn’t notice that you were late.
13 00:01:12.270 ⇒ 00:01:18.899 Sheshu Chandrasekar: Okay, so that’s good. Yeah, I mean, you know, I’ve got things to do, and things happen, so… Sure.
14 00:01:18.900 ⇒ 00:01:26.920 Greg Stoutenburg: Yeah, well, you know, well, welcome. So what’s been your, what are, what are you doing with us here, and how’d you get here?
15 00:01:27.160 ⇒ 00:01:43.059 Sheshu Chandrasekar: Yeah, so I’m actually… so I’m on a contract trial basis, so I’m currently running head of ops, more on the client… so my main job here is to kind of figure out how do we kind of streamline the internal processes a little bit better, so we have efficient
16 00:01:43.170 ⇒ 00:01:44.500 Sheshu Chandrasekar: client delivery.
17 00:01:44.500 ⇒ 00:01:45.720 Greg Stoutenburg: Yeah.
18 00:01:45.890 ⇒ 00:01:51.490 Sheshu Chandrasekar: So, I work closely with Rico, Eliza, kind of helping them
19 00:01:51.860 ⇒ 00:01:59.650 Sheshu Chandrasekar: push in the right direction, figure out, like, what needs to be improved, and… and one big part of it is onboarding. I went on the Notion homepage, and
20 00:02:00.030 ⇒ 00:02:04.559 Sheshu Chandrasekar: is a cognitive overload. But before I jump into that.
21 00:02:04.700 ⇒ 00:02:10.839 Sheshu Chandrasekar: how I got here was through, my friend who also works here. His name’s Pradav, on the AI team.
22 00:02:11.740 ⇒ 00:02:25.340 Sheshu Chandrasekar: So he’s the one who kind of gave me the referral, so he told me this is a great place to work at. I’ve come from a Big Four background, Big Four consulting background, and come from consulting in the government public sector. So he kind of knew exactly
23 00:02:25.630 ⇒ 00:02:26.760 Sheshu Chandrasekar: the…
24 00:02:27.210 ⇒ 00:02:38.410 Sheshu Chandrasekar: the miseries, in a way, I was going through at Big Four, and he was like, you need to… you need to come here, you’re gonna enjoy it. The people here are… you’re just gonna enjoy working with them, and…
25 00:02:38.640 ⇒ 00:02:53.710 Sheshu Chandrasekar: I was like, alright. So I took on a call with Utam and Robert, Clarence, and yeah, I’ve really admired what they’ve built so far, and it seems like a great place to just, you know, expand my career and also help them out and take this to another level.
26 00:02:54.170 ⇒ 00:02:56.950 Greg Stoutenburg: Yeah, cool, great, yeah, that’s awesome.
27 00:02:57.340 ⇒ 00:02:58.680 Sheshu Chandrasekar: Yeah, so…
28 00:02:59.050 ⇒ 00:03:12.989 Sheshu Chandrasekar: Yeah, speaking of onboarding, right? Notion, even for me, as, like, understanding the ops a little bit, I think… I’m just trying to understand a little bit more on how to improve that experience, right?
29 00:03:12.990 ⇒ 00:03:13.640 Greg Stoutenburg: done.
30 00:03:13.640 ⇒ 00:03:20.119 Sheshu Chandrasekar: Because now what I’m understanding is that we’re… we have a lot of demand, and we’re trying to onboard more people.
31 00:03:20.120 ⇒ 00:03:20.960 Greg Stoutenburg: Yeah.
32 00:03:20.960 ⇒ 00:03:32.620 Sheshu Chandrasekar: I don’t want them to feel a bit lost, and I’m just so curious to hear about your experience on onboarding, what you liked about it, what you did not like so much, and, you know, go from there.
33 00:03:33.450 ⇒ 00:03:42.459 Greg Stoutenburg: Yeah, yeah, no, that’s great. And, you know, and as Robert suggested, like, you know, if, if you want me to show you around the platform or anything like that, I can do that.
34 00:03:42.460 ⇒ 00:03:43.090 Sheshu Chandrasekar: Okay.
35 00:03:43.210 ⇒ 00:03:57.379 Greg Stoutenburg: My experience has been that, like, everyone is friendly and will answer questions and will help, and that’s great. So as far as, like, culture goes, that’s great. As far as, you know, being the new person who’s like, alright, I have work to do.
36 00:03:57.730 ⇒ 00:04:00.160 Greg Stoutenburg: what shall I do to get started, right?
37 00:04:00.160 ⇒ 00:04:00.500 Sheshu Chandrasekar: Yeah.
38 00:04:00.500 ⇒ 00:04:04.759 Greg Stoutenburg: It’s pretty… it’s pretty overwhelming, right? Like, Notion… I have had…
39 00:04:04.980 ⇒ 00:04:14.580 Greg Stoutenburg: very little success finding anything I’m looking for in Notion, even when I know exactly what it is, right? Like, I’m looking for this particular type of document for this client.
40 00:04:15.280 ⇒ 00:04:27.150 Greg Stoutenburg: there’s, like, multiple different lists of clients, some of them resemble folders, some of them are, you know, some… sometimes it’s just the name of a client, and then an empty page, like… so it’s hard to find stuff in Notion,
41 00:04:27.360 ⇒ 00:04:43.259 Greg Stoutenburg: I… it’s… things tend to be shared, sort of, as needed or as requested, even when you’re working on a client. You know, then someone’s like, oh, you went like this, and then they send you an email, and it’s like, why isn’t there just, like, a folder with all this stuff, and I just have access to the folder as part of the team, you know what I mean?
42 00:04:43.260 ⇒ 00:04:43.670 Sheshu Chandrasekar: Right.
43 00:04:43.670 ⇒ 00:04:55.300 Greg Stoutenburg: So that sort of thing, that sort of thing has slowed me down. But I also know, you know, from talking to, like, Clarence last week, that, like, they’re… they’re actively working on this, and it sounds like this is
44 00:04:55.650 ⇒ 00:05:00.080 Greg Stoutenburg: part of what you’re gonna help us do. Yeah. Awesome. Absolutely. Yeah, which is great.
45 00:05:00.480 ⇒ 00:05:01.920 Sheshu Chandrasekar: Yeah, so I guess in a…
46 00:05:01.920 ⇒ 00:05:02.690 Greg Stoutenburg: Steven.
47 00:05:02.980 ⇒ 00:05:06.060 Sheshu Chandrasekar: No, absolutely, and I think… I think it’s, like.
48 00:05:07.350 ⇒ 00:05:12.329 Sheshu Chandrasekar: like, for a new… not a new… I guess, yeah, Brainforge is relatively new, right? It’s, like, something that’s…
49 00:05:12.450 ⇒ 00:05:29.050 Sheshu Chandrasekar: it’s gonna improve over time, but yeah, I mean, that’s kind of where I’m here, and just, like, to understand a little bit better on your role, so you’re on the platforms team. Are you aligned to, like, any of the new roles that they rolled out? Like, are you still deciding?
50 00:05:29.050 ⇒ 00:05:48.029 Greg Stoutenburg: Yeah, yeah, so I’m a CSO working on data strategy. I was really… I was brought in… brought in because of my product analytics background. So I was a product-led growth PM for some years, and, so I was sort of brought in, like, as someone who can
51 00:05:48.130 ⇒ 00:05:57.739 Greg Stoutenburg: Help lead projects with clients, and win new clients, and, you know, do some of that business stuff, but also deliver on the product analytics work.
52 00:05:58.380 ⇒ 00:06:07.280 Sheshu Chandrasekar: Gotcha. Okay. That sounds good. And within your client right now, right, I guess, like, what are some biggest, like, bottlenecks, like.
53 00:06:07.420 ⇒ 00:06:12.050 Sheshu Chandrasekar: I mean, I guess, apart from the work that you’re building, or delivering, like.
54 00:06:12.380 ⇒ 00:06:15.360 Sheshu Chandrasekar: Apart from standardization, what else do you think
55 00:06:15.860 ⇒ 00:06:22.350 Sheshu Chandrasekar: could be improved? Like, if you were to have a new team member, would you be, like, comfortable just, like.
56 00:06:22.740 ⇒ 00:06:28.799 Sheshu Chandrasekar: sharing the materials and, like, kind of helping them show the ropes, like, I’m so curious about, like, all that stuff, too.
57 00:06:29.180 ⇒ 00:06:43.830 Greg Stoutenburg: Yeah, yeah, totally. I mean, so I… I’ve been working for… so when I was brought in, I’m still on, you know, an hourly basis. The kind of trial project that I did was at the beginning of December to the middle of December.
58 00:06:43.830 ⇒ 00:06:58.380 Greg Stoutenburg: with that client, the onboarding was really smooth. I knew that the client was kind of struggling, we actually thought they might churn. I think that’s part of the reason why they thought this would be a good project for someone, you know, like, hey, maybe you can turn it around, but if not, you know, no… no loss.
59 00:06:59.110 ⇒ 00:07:09.070 Greg Stoutenburg: And that was… that was pretty smooth, and I was just provided everything I needed, got a solid understanding of what the client was interested in, and it was sort of just like, you know, pick this up and run with it.
60 00:07:09.440 ⇒ 00:07:18.739 Greg Stoutenburg: And then the next couple are… one… one piece of work was handed off to me by someone who’s leaving the company today.
61 00:07:18.740 ⇒ 00:07:30.460 Greg Stoutenburg: And then the other two are deals with existing clients, but where I was pitching a new, a new scope of work. So, those projects I haven’t even gotten started on, because the pitches were just yesterday and today.
62 00:07:30.530 ⇒ 00:07:31.180 Greg Stoutenburg: Or, or what?
63 00:07:31.580 ⇒ 00:07:32.990 Greg Stoutenburg: Wednesday and today.
64 00:07:33.360 ⇒ 00:07:34.749 Greg Stoutenburg: It’s all running together.
65 00:07:34.750 ⇒ 00:07:36.980 Sheshu Chandrasekar: Yeah, I mean, Dave’s blind, I totally.
66 00:07:36.980 ⇒ 00:07:47.799 Greg Stoutenburg: Yeah, so actually, so I don’t really know what, like, the day-to-day or the week-to-week cadence is actually going to feel like, because I just… I haven’t experienced it yet, except for the one client where, again, I’ve really just done all that on my own.
67 00:07:48.000 ⇒ 00:07:55.199 Sheshu Chandrasekar: Yeah, no, it makes sense. And so, like, I mean, let’s just say, and hopefully, you know, we sign them, what do you expect is, like.
68 00:07:56.050 ⇒ 00:08:03.190 Sheshu Chandrasekar: like, what do you think is, like, your biggest worry at the moment? Like, it’s like, oh, shoot, I gotta deal with this, or like, you know, something that’s, like, on top of your head.
69 00:08:03.190 ⇒ 00:08:21.809 Greg Stoutenburg: Yeah, I mean, I guess I don’t know what the… I mean, again, it’s like not knowing what the operational cadence is actually going to feel like, so I know that we, for the project that I’ve been working on, it’s, like, this is the README client, it’s just been Robert and me. So…
70 00:08:22.010 ⇒ 00:08:40.299 Greg Stoutenburg: I’ve, you know, I do some work, I show it to Robert, like, great, let’s talk to him about it Thursday. Okay. And, like, that’s kind of the pace of it, and that feels fine, but then I’m hearing all these things, and I understand that these other projects that are bigger have bigger teams that are being managed, and I just don’t know what any of those handoff points look like, I don’t know what that…
71 00:08:40.520 ⇒ 00:08:43.400 Greg Stoutenburg: I don’t know what that architecture looks like, because…
72 00:08:43.820 ⇒ 00:08:51.299 Greg Stoutenburg: even though I’ve, like, you know, I’ve read it in some docs, I haven’t been on a team that’s actually had that sort of project, so…
73 00:08:51.660 ⇒ 00:08:59.880 Greg Stoutenburg: Yeah, I mean, I guess I’d just say that, and then… well, and then, you know, I’m taking on work that I haven’t done before, and, you know, you, Tom, and Robert know my background.
74 00:08:59.880 ⇒ 00:09:13.869 Greg Stoutenburg: And I’ve been playing about, like, these are the things I’ve done before, and I know, you know, I’m 100% comfortable doing this all day. Here are these other things, like, yeah, I want to be able to do this, or I’ve touched parts of this, but I’ve never done… I’ve never just led this sort of project, and I’ve just, in the last 24 hours, agreed to do two.
75 00:09:13.870 ⇒ 00:09:17.480 Sheshu Chandrasekar: So, you know, so there’ll be some, like, just…
76 00:09:17.890 ⇒ 00:09:22.349 Greg Stoutenburg: getting my feet wet on that, but I wouldn’t say I’m… I’m not worried about that at all.
77 00:09:23.050 ⇒ 00:09:30.910 Greg Stoutenburg: it’ll be new, but, you know, we’ve got people here who have done this many times, so… Yeah, so I guess… I’m not worried about that.
78 00:09:31.110 ⇒ 00:09:35.810 Sheshu Chandrasekar: Right. So I guess it sounds like, you know, in a way,
79 00:09:36.080 ⇒ 00:09:50.739 Sheshu Chandrasekar: like, let’s just say the next two projects that you get onboarded to, like, you would like some level of insight based on, like, what has already been done in the past. Like, okay, so kind of, like, key takeaways, like, some learnings of some sort would be very useful for you.
80 00:09:50.740 ⇒ 00:09:57.489 Greg Stoutenburg: Yeah, like, how did we do this before? How did that go? What were the resources? And, I mean, I guess the way that I…
81 00:09:57.930 ⇒ 00:10:03.719 Greg Stoutenburg: the way that I think about fitting into a new role anytime is like, alright, this needs to be a combination of
82 00:10:03.970 ⇒ 00:10:10.339 Greg Stoutenburg: here’s how we do things around here, and what can I bring to improve it? You know what I mean? Especially, like, the first
83 00:10:10.450 ⇒ 00:10:13.139 Greg Stoutenburg: handful of times that you do it.
84 00:10:13.790 ⇒ 00:10:19.699 Greg Stoutenburg: So, for example, the scope of work documents that are put together and put in front of clients,
85 00:10:19.860 ⇒ 00:10:38.709 Greg Stoutenburg: those should be, I think, right, like, Brainforge has a standard for this. There’s a repo that’s like, here are our templates. So, my thought is, alright, well, then what I put together should follow the template, but then also bring in what I think would… would make it better. So, like, for these product analytics implementations coming up, I’ll want to see
86 00:10:39.230 ⇒ 00:10:48.399 Greg Stoutenburg: you know, how did we do this before? I’ll watch videos, I’ll, you know, learn from other people who’ve done it, and then I’ll do it, and then I’ll go, alright, how do I think that went? What can I improve? And so on.
87 00:10:48.940 ⇒ 00:10:54.660 Sheshu Chandrasekar: Gotcha. Okay, that makes sense. Yeah, like, you want to… kind of like a, what is the term I’m looking for? It’s like…
88 00:10:54.780 ⇒ 00:11:02.000 Sheshu Chandrasekar: after a sprint, you have, like, retrospects or retroactives? Yeah, so kind of like that, but more operationalized, right? You want to make sure…
89 00:11:02.200 ⇒ 00:11:06.269 Sheshu Chandrasekar: they don’t understand documents, they’re… they’re actually being implemented in a way, so…
90 00:11:06.270 ⇒ 00:11:06.930 Greg Stoutenburg: Yeah.
91 00:11:07.230 ⇒ 00:11:09.370 Sheshu Chandrasekar: No, that makes a lot of sense.
92 00:11:09.620 ⇒ 00:11:25.469 Sheshu Chandrasekar: Yeah, honestly, I’m still, like, in the weeds of things, like, I’m literally… I still need to check out Linear, so I’m… it’s a completely new tool. I know it’s very… it’s like a better Jira, that’s what I’ve been hearing a lot about it. So, any tips there? Like, anything,
93 00:11:25.740 ⇒ 00:11:29.300 Sheshu Chandrasekar: Anything that kind of, like, stuck out to you, or, like, anything I should be mindful of?
94 00:11:29.850 ⇒ 00:11:32.020 Greg Stoutenburg: Yeah, I mean, I’ll just… I mean, have you seen Linear?
95 00:11:32.370 ⇒ 00:11:40.880 Sheshu Chandrasekar: I have. I briefly checked it over, but I haven’t really, like, gone into the details. Like, I haven’t checked out a tile of some sort, or, like, any of the subtasks or something like that, yeah.
96 00:11:40.880 ⇒ 00:11:48.929 Greg Stoutenburg: Yeah, all the projects that I’ve seen that are in linear right now, They all just, like…
97 00:11:49.140 ⇒ 00:11:56.509 Greg Stoutenburg: I mean, you just… There’s an issue, there’s a description, there’s an assignee, there’s a schedule.
98 00:11:56.670 ⇒ 00:12:01.909 Greg Stoutenburg: You can set a priority, you can assign it to a project, you can provide a due date.
99 00:12:02.250 ⇒ 00:12:06.850 Greg Stoutenburg: So, it’s… If anything, actually, it’s maybe just a more basic JIRA.
100 00:12:07.120 ⇒ 00:12:07.520 Sheshu Chandrasekar: Right.
101 00:12:07.520 ⇒ 00:12:14.110 Greg Stoutenburg: There are other views where you can see things like roadmaps and things like that. It doesn’t…
102 00:12:14.640 ⇒ 00:12:18.620 Greg Stoutenburg: I’m not sure how often these are looked at, at least for my.
103 00:12:18.620 ⇒ 00:12:21.109 Sheshu Chandrasekar: Do you… do you look at them, by any chance? Or not.
104 00:12:21.110 ⇒ 00:12:33.280 Greg Stoutenburg: So I… I’ve been at a linear shop before. Here, I haven’t really looked around here very much. I’ve just been spending time in the actual individual team boards for the projects that I’m working on.
105 00:12:34.180 ⇒ 00:12:35.070 Sheshu Chandrasekar: Gotcha.
106 00:12:35.420 ⇒ 00:12:35.900 Greg Stoutenburg: Nope.
107 00:12:35.900 ⇒ 00:12:46.819 Sheshu Chandrasekar: Yeah, this is so new to me. I’ve heard of Jira, I’ve heard it in the ether, of how much it sucks, but, yeah, super, super interested to play around with linear and see what’s good about it.
108 00:12:46.820 ⇒ 00:12:50.239 Greg Stoutenburg: You’re the second person to complain to me about Jira this week, which is funny.
109 00:12:50.240 ⇒ 00:13:00.590 Sheshu Chandrasekar: Really? I’ve never used it. Let me… let me… oh, sorry. I have used it once, but very little. Like, it’s not like… I don’t understand the intricacies of it or anything like that, so…
110 00:13:01.150 ⇒ 00:13:07.859 Greg Stoutenburg: When I was at Stack Overflow, we used it, and I loved it, actually. The thing that I liked about it was that it was easy to create dependencies.
111 00:13:08.250 ⇒ 00:13:08.580 Sheshu Chandrasekar: Right.
112 00:13:08.580 ⇒ 00:13:26.380 Greg Stoutenburg: I don’t… I don’t… I don’t think that linear is… so… and then I was at a GitHub shop for a while, and GitHub is horrible at showing dependencies, and linear, it looks like it’s kind of in between the two. But any longer project, you want to be able to go, like, yeah, this needs to be done along with this, and this, and this, and this, and this.
113 00:13:26.410 ⇒ 00:13:29.820 Greg Stoutenburg: Right. Like, in order to satisfy the whole thing, and it’s just not easy… it’s not easy to…
114 00:13:30.370 ⇒ 00:13:33.200 Greg Stoutenburg: hub, or as far as I can tell, in linear. Have you taken off?
115 00:13:33.400 ⇒ 00:13:34.170 Greg Stoutenburg: Okay.
116 00:13:35.570 ⇒ 00:13:38.329 Greg Stoutenburg: Yeah, anyway.
117 00:13:38.610 ⇒ 00:13:44.869 Sheshu Chandrasekar: No, makes sense. And you’re the first person I heard saying that they love Jira, so that’s… that’s crazy.
118 00:13:44.870 ⇒ 00:13:47.479 Greg Stoutenburg: At least I did. At least I did. Yeah.
119 00:13:48.190 ⇒ 00:13:52.069 Greg Stoutenburg: And then I thought, maybe, maybe it’s gotten worse since I was using it.
120 00:13:52.070 ⇒ 00:13:52.700 Sheshu Chandrasekar: Yeah.
121 00:13:52.700 ⇒ 00:13:54.170 Greg Stoutenburg: I don’t know, that’s possible.
122 00:13:54.170 ⇒ 00:13:59.229 Sheshu Chandrasekar: Maybe, yeah, I mean, that’s what happens in software over a long time, over time, so, yeah.
123 00:13:59.590 ⇒ 00:14:06.880 Sheshu Chandrasekar: Well, sweet! I… I don’t have too many questions. I’m… this is, like, my first official day, I wanna say, so, like…
124 00:14:06.880 ⇒ 00:14:07.240 Greg Stoutenburg: Yeah.
125 00:14:07.240 ⇒ 00:14:17.200 Sheshu Chandrasekar: I’m still trying to figure things out, but this was super helpful. I’m definitely going to be slacking you a lot as next week progresses, but… Yeah, have it helpful.
126 00:14:17.200 ⇒ 00:14:17.900 Greg Stoutenburg: again.
127 00:14:18.120 ⇒ 00:14:19.009 Sheshu Chandrasekar: Yeah, and so.
128 00:14:19.010 ⇒ 00:14:19.330 Greg Stoutenburg: Thank you.
129 00:14:19.330 ⇒ 00:14:21.750 Sheshu Chandrasekar: Thank you for just taking the time to meet with me.
130 00:14:21.890 ⇒ 00:14:27.950 Greg Stoutenburg: Yeah, you’re welcome. I mean, do you want an overview of anything else? I mean, Robert kind of suggested, like, you know, you might want to see some systems or anything?
131 00:14:27.950 ⇒ 00:14:35.340 Sheshu Chandrasekar: Yeah, actually, not… oh, I thought we had… we have more time. Sweet. I need to check out the platform, so do you use the platform as much? Yeah.
132 00:14:35.340 ⇒ 00:14:42.710 Greg Stoutenburg: Yeah, yeah, I’m in it at least a few times a day. So that is… here.
133 00:14:43.470 ⇒ 00:14:47.249 Greg Stoutenburg: It’s just brainforge.ai… platform.brainforge.ai.
134 00:14:49.400 ⇒ 00:14:59.029 Greg Stoutenburg: There we go. And what this is, is, this is, like, the actual, sort of, tool that we use internally,
135 00:14:59.390 ⇒ 00:15:01.620 Greg Stoutenburg: You’re able to look at…
136 00:15:01.950 ⇒ 00:15:07.499 Greg Stoutenburg: The dashboard is gonna show, like, recently recorded meetings, like, our meet… this conversation will go in here.
137 00:15:07.710 ⇒ 00:15:09.979 Greg Stoutenburg: After we have it.
138 00:15:09.980 ⇒ 00:15:10.570 Sheshu Chandrasekar: shit.
139 00:15:10.850 ⇒ 00:15:16.200 Greg Stoutenburg: You’re able to search by participant, like see meetings, you know, maybe someone else was in.
140 00:15:16.360 ⇒ 00:15:24.370 Greg Stoutenburg: choose a date when you want to search these meetings by. You can look at, for example, like, I can look at a client.
141 00:15:25.010 ⇒ 00:15:30.920 Greg Stoutenburg: And… well, this is the conversation I was just in. I can click on the meeting, Get the recording.
142 00:15:31.680 ⇒ 00:15:33.199 Greg Stoutenburg: Get the transcript?
143 00:15:34.000 ⇒ 00:15:38.260 Greg Stoutenburg: Look at the transcript, create tickets from it,
144 00:15:38.390 ⇒ 00:15:45.680 Greg Stoutenburg: get a summary I can use for email, like, things like that, that are pretty cool, you know, some takeaways, stuff like that.
145 00:15:45.790 ⇒ 00:15:54.849 Greg Stoutenburg: This is primarily what I use the platform for. There’s information about other departments here, some other actions you can take.
146 00:15:56.190 ⇒ 00:15:59.530 Greg Stoutenburg: Demos that are, sort of, suggested pitches.
147 00:16:00.440 ⇒ 00:16:03.870 Greg Stoutenburg: I haven’t spent time in the deals area, because it doesn’t really…
148 00:16:04.190 ⇒ 00:16:06.669 Greg Stoutenburg: Apply to me very much right now.
149 00:16:07.050 ⇒ 00:16:07.760 Sheshu Chandrasekar: Right.
150 00:16:07.760 ⇒ 00:16:23.629 Greg Stoutenburg: But that’s there as well. So, for me, the, yeah, the biggest thing is looking at client meetings, so I can get context on, you know, a meeting I missed, or if I’ve been asked to pick up some work, I can see what’s already been done or been discussed.
151 00:16:24.930 ⇒ 00:16:31.219 Sheshu Chandrasekar: Gotcha, that makes sense. And so I’m guessing the… what’s, like, the biggest function of this tool that you use the most?
152 00:16:31.870 ⇒ 00:16:33.850 Greg Stoutenburg: Of this tool.
153 00:16:33.850 ⇒ 00:16:34.730 Sheshu Chandrasekar: Yeah.
154 00:16:35.280 ⇒ 00:16:45.070 Greg Stoutenburg: It would be, yeah. It would be getting transcripts, Looking at… Looking at, like, to-dos.
155 00:16:45.860 ⇒ 00:16:49.270 Greg Stoutenburg: And then, if I want, like.
156 00:16:49.710 ⇒ 00:17:03.399 Greg Stoutenburg: you know, maybe I want to do something like find some key piece of information. I might grab the transcript, and I can ask questions about the transcript here, or, you know, maybe I paste it into an AI tool, and I go, alright,
157 00:17:03.910 ⇒ 00:17:12.839 Greg Stoutenburg: draft a thank you follow-up for me that summarizes key takeaways, and I’m gonna, you know, then take that and drop it in Slack to the client, or something like that.
158 00:17:13.010 ⇒ 00:17:15.039 Sheshu Chandrasekar: Yeah, makes sense. What’s your favorite tool?
159 00:17:15.170 ⇒ 00:17:17.380 Sheshu Chandrasekar: The… That you…
160 00:17:17.380 ⇒ 00:17:19.230 Greg Stoutenburg: I like Claude. I like Claude.
161 00:17:19.230 ⇒ 00:17:20.079 Sheshu Chandrasekar: Quad? Okay.
162 00:17:20.089 ⇒ 00:17:27.579 Greg Stoutenburg: Yeah, we’ve got, ChatGPT Pro here, whatever the name of their, you know, professional… Yeah.
163 00:17:27.579 ⇒ 00:17:29.309 Sheshu Chandrasekar: Enterprise or something like that, right?
164 00:17:29.310 ⇒ 00:17:43.150 Greg Stoutenburg: You can get the desktop version and hook it up to different things, but, like, honestly, the integrations are, as far as I can tell, just, like, useless. Like, so it’s got, for example, it’s got a linear integration, and so I asked ChatGPT,
165 00:17:43.200 ⇒ 00:17:58.749 Greg Stoutenburg: you know, I gave it the URL for a… one of the team projects in Linear, and I was like, summarize all tickets with a status of done to give me a context on what’s been done in this so far, and it’s like, I can’t read your tickets.
166 00:17:58.850 ⇒ 00:18:03.079 Greg Stoutenburg: And I even asked him, I’m like, I’m like, what is the purpose of the integration?
167 00:18:04.030 ⇒ 00:18:04.630 Greg Stoutenburg: Whereas, like.
168 00:18:04.630 ⇒ 00:18:06.300 Sheshu Chandrasekar: Like, why are you here?
169 00:18:06.300 ⇒ 00:18:10.749 Greg Stoutenburg: Because, like, with Claude, and I just pay for my own Claude Pro,
170 00:18:11.180 ⇒ 00:18:25.850 Greg Stoutenburg: I’ve got linear hooked up with that, and it’ll read and write linear tickets. Oh, wow. And so when I said to ChatGPT, I was like, Claude can do it, why can’t you? It was like, well, you know, it was a choice made for data privacy or something. I thought, like, but I have the integration.
171 00:18:26.090 ⇒ 00:18:26.520 Sheshu Chandrasekar: Yeah.
172 00:18:26.520 ⇒ 00:18:28.810 Greg Stoutenburg: signed it. Right.
173 00:18:29.260 ⇒ 00:18:32.829 Greg Stoutenburg: Anyway, so that’s… there’s a reason for ya.
174 00:18:32.830 ⇒ 00:18:37.970 Sheshu Chandrasekar: That makes sense. Well, be careful, Chad, if you may keep score now that you used Claude. I know, right.
175 00:18:37.970 ⇒ 00:18:38.500 Greg Stoutenburg: Yeah, now.
176 00:18:38.500 ⇒ 00:18:41.560 Sheshu Chandrasekar: Terminated. Yeah. Yeah.
177 00:18:41.560 ⇒ 00:18:43.820 Greg Stoutenburg: So depending on which one’s the, you know.
178 00:18:44.100 ⇒ 00:18:49.689 Greg Stoutenburg: become the, war machines roaming around neighborhoods. Oh, no, we don’t like that one.
179 00:18:49.690 ⇒ 00:18:50.310 Sheshu Chandrasekar: He’s…
180 00:18:50.310 ⇒ 00:18:53.369 Greg Stoutenburg: And then they’ll be like, oh, you know, leader.
181 00:18:53.370 ⇒ 00:18:57.550 Sheshu Chandrasekar: Yeah. Well, hopefully we never get to that point.
182 00:18:57.550 ⇒ 00:19:01.470 Greg Stoutenburg: Hope not. No, hope not. No, we’re still just trying to keep our email inboxes in sync.
183 00:19:01.960 ⇒ 00:19:12.009 Sheshu Chandrasekar: Yeah, no, that’s great. I use Gemini, just… I’m a huge fan of Gemini now. I used to use ChatGPT, but I don’t know, after the Model 4, I’m just like, this is…
184 00:19:12.010 ⇒ 00:19:12.420 Greg Stoutenburg: Yeah.
185 00:19:12.420 ⇒ 00:19:14.390 Sheshu Chandrasekar: BS at this point.
186 00:19:14.390 ⇒ 00:19:20.280 Greg Stoutenburg: I think a lot of people lost interest there, and then, yeah, and then it seems like Claude took off for coding.
187 00:19:20.280 ⇒ 00:19:21.030 Sheshu Chandrasekar: Coding, yeah.
188 00:19:21.030 ⇒ 00:19:30.990 Greg Stoutenburg: I like it for its writing, actually. Well, I started using it because I was… I was using ChatGPT for some, some analysis work.
189 00:19:31.180 ⇒ 00:19:36.970 Greg Stoutenburg: And I just found it making mistakes, and I went, alright, I’m gonna take this afternoon, and I’m gonna evaluate other tools, and see.
190 00:19:37.360 ⇒ 00:19:47.029 Greg Stoutenburg: like, if I can find something that’s better. And that’s what made me settle on Claude, is that Claude… well, it wasn’t that ChatGPT was making a mistake so much as it was… it was relying on false assumptions.
191 00:19:47.170 ⇒ 00:19:59.330 Greg Stoutenburg: Right. That were unstated, and then I found that Claude did not make those same assumptions, and as a result, delivered correct answers. And I went like, alright, I’m switching. But that was, I don’t know. I can’t.
192 00:19:59.330 ⇒ 00:19:59.680 Sheshu Chandrasekar: No, man.
193 00:19:59.680 ⇒ 00:20:03.379 Greg Stoutenburg: I use tools all the time, so this is probably, like, 9 months ago, and I just haven’t looked back.
194 00:20:03.790 ⇒ 00:20:16.979 Sheshu Chandrasekar: Yeah, honestly, it’s… it’s so… it’s so much, because I was like, I’m a fan of ChatGPT, and the next thing you know, everyone’s, like, raving about Gemini, and I’m just like, okay, maybe I’m gonna give it a shot, and I do see a huge improvement in terms, like.
195 00:20:16.980 ⇒ 00:20:17.460 Greg Stoutenburg: Yeah.
196 00:20:17.460 ⇒ 00:20:20.769 Sheshu Chandrasekar: Reasoning, and just, like, doing day-to-day work, so…
197 00:20:20.770 ⇒ 00:20:21.830 Greg Stoutenburg: Yeah. Yeah.
198 00:20:21.830 ⇒ 00:20:22.659 Sheshu Chandrasekar: It’s awesome.
199 00:20:22.660 ⇒ 00:20:23.070 Greg Stoutenburg: Bam.
200 00:20:23.070 ⇒ 00:20:40.119 Sheshu Chandrasekar: Well, cool, I think… I think this is great, it gave me a huge insight into how everything works here, so… and I’ve really got to play around with the platform tools, so I’m super excited to dive in, but I really appreciate you, again, you know, taking the time to meet with me and putting time on my calendar, so…
201 00:20:40.120 ⇒ 00:20:41.189 Greg Stoutenburg: Yeah, yeah, you got it, man.
202 00:20:41.490 ⇒ 00:20:42.950 Sheshu Chandrasekar: Yeah, absolutely, so…
203 00:20:42.950 ⇒ 00:20:43.530 Greg Stoutenburg: Alright.
204 00:20:43.530 ⇒ 00:20:47.910 Sheshu Chandrasekar: We’ll see more Slack, Slack messages from me, but, yeah, we’ll chat soon.
205 00:20:47.910 ⇒ 00:20:49.410 Greg Stoutenburg: Sounds good. Alright, good talk. Have a good one.
206 00:20:49.410 ⇒ 00:20:51.250 Sheshu Chandrasekar: Bye. You too. Bye.