Meeting Title: Brainforge Office Hours Prep Date: 2026-03-05 Meeting participants: Hannah Wang, Luke Scorziell, Pranav Narahari
WEBVTT
1 00:02:18.070 ⇒ 00:02:19.000 Pranav Narahari: Hey, guys.
2 00:02:21.180 ⇒ 00:02:21.690 Luke Scorziell: 8…
3 00:02:34.330 ⇒ 00:02:35.200 Luke Scorziell: Red.
4 00:02:35.650 ⇒ 00:02:42.480 Pranav Narahari: Is there a way for you to download that background, Luke, and, like, send it to me? Because for whatever reason, it’s not, like, set up on my Zoom.
5 00:02:44.620 ⇒ 00:02:49.170 Luke Scorziell: Yeah, I can, see, I asked Hannah for it at some point, so… back.
6 00:02:50.410 ⇒ 00:02:54.910 Pranav Narahari: I feel like it’d just be better for sales calls, things like this in general, if I just…
7 00:02:55.720 ⇒ 00:02:56.510 Luke Scorziell: Yeah, but…
8 00:02:56.510 ⇒ 00:02:57.500 Pranav Narahari: Something like that.
9 00:02:57.520 ⇒ 00:02:58.430 Luke Scorziell: Perfect.
10 00:02:58.750 ⇒ 00:03:02.749 Pranav Narahari: My options right now are, like, a space background or something. I’m like,
11 00:03:03.120 ⇒ 00:03:04.839 Pranav Narahari: I’ll go with the blur.
12 00:03:06.340 ⇒ 00:03:07.930 Luke Scorziell: Let me forward…
13 00:03:08.570 ⇒ 00:03:10.370 Pranav Narahari: Oh, wait, I see them now.
14 00:03:10.640 ⇒ 00:03:11.450 Luke Scorziell: Oh, you do?
15 00:03:11.680 ⇒ 00:03:15.340 Pranav Narahari: Yeah, I don’t see the one that you have, but I have, like, some other Brainforge ones.
16 00:03:16.210 ⇒ 00:03:20.180 Luke Scorziell: Here, I just sent you a message on Slack that has…
17 00:03:21.410 ⇒ 00:03:22.440 Pranav Narahari: Okay, cool.
18 00:03:22.780 ⇒ 00:03:24.190 Pranav Narahari: Yeah, I feel like I like…
19 00:03:24.530 ⇒ 00:03:26.260 Pranav Narahari: The one that you have a little bit better.
20 00:03:27.420 ⇒ 00:03:30.390 Luke Scorziell: Yeah, it makes me feel like I’m in a natural office.
21 00:03:30.490 ⇒ 00:03:36.099 Luke Scorziell: Okay, let me… one thing I do need to troubleshoot before we do this is my Wi-Fi, because it’s been kind of trash here.
22 00:03:37.830 ⇒ 00:03:40.919 Pranav Narahari: Is, brain forging backwards on mine?
23 00:03:42.110 ⇒ 00:03:46.939 Luke Scorziell: Yeah, or no, no, no, no, it’s… it’s just because you’re, it, like, mirrors your.
24 00:03:48.730 ⇒ 00:03:51.450 Pranav Narahari: Oh, there’s your own. Gotcha.
25 00:04:08.830 ⇒ 00:04:09.570 Luke Scorziell: Can you hear me?
26 00:04:09.850 ⇒ 00:04:13.120 Pranav Narahari: Yeah, I’m not sure if it was… I think it was probably me.
27 00:04:13.850 ⇒ 00:04:15.650 Luke Scorziell: I switched to my hotspot.
28 00:04:16.440 ⇒ 00:04:18.259 Pranav Narahari: Oh, it was you? Okay, okay. Gotcha.
29 00:04:20.089 ⇒ 00:04:24.129 Luke Scorziell: Okay, well, we can just kind of run through this thing.
30 00:04:24.130 ⇒ 00:04:26.870 Pranav Narahari: Yeah. Let’s do it. I was gonna spend this time to kind of…
31 00:04:27.580 ⇒ 00:04:32.740 Pranav Narahari: do things, like, on my… kind of just, like, get ready for this, because I didn’t really do any preparation yet.
32 00:04:32.900 ⇒ 00:04:36.479 Pranav Narahari: Yeah, so, we’ll do this live.
33 00:04:36.850 ⇒ 00:04:41.610 Luke Scorziell: Yeah, I think, why don’t we… why don’t we just run through it? It should take… 15 minutes, maybe?
34 00:04:42.000 ⇒ 00:04:46.999 Luke Scorziell: So let’s have, like, a discussion, and then we can just kind of debrief a little bit.
35 00:04:48.340 ⇒ 00:04:50.669 Hannah Wang: Cool, cool, cool. Can someone…
36 00:04:50.980 ⇒ 00:05:01.709 Hannah Wang: I have a lot going on with, like, recording, and I have, like, a lot of things pulled up, so can someone else share their screen for the slides? Like, I would do it, but I think I would get confused.
37 00:05:02.370 ⇒ 00:05:03.300 Luke Scorziell: Yes.
38 00:05:06.270 ⇒ 00:05:08.680 Luke Scorziell: Renam, how do you feel about sharing those slides?
39 00:05:09.980 ⇒ 00:05:11.679 Pranav Narahari: Yeah, I can show.
40 00:05:13.050 ⇒ 00:05:14.920 Luke Scorziell: They also have a lot.
41 00:05:14.920 ⇒ 00:05:16.160 Pranav Narahari: It’s fine, right?
42 00:05:25.820 ⇒ 00:05:28.220 Pranav Narahari: Hannah, I think you sent them, like, last night, right?
43 00:05:28.970 ⇒ 00:05:33.369 Hannah Wang: Yes, it should be in that thread that we have, but let me…
44 00:05:37.080 ⇒ 00:05:41.890 Hannah Wang: get to… Let’s flag.
45 00:05:43.260 ⇒ 00:05:43.910 Pranav Narahari: Perfect.
46 00:06:12.100 ⇒ 00:06:12.780 Hannah Wang: Okay, cool.
47 00:06:13.600 ⇒ 00:06:14.490 Hannah Wang: Cool
48 00:06:18.270 ⇒ 00:06:19.310 Hannah Wang: Okay.
49 00:06:21.000 ⇒ 00:06:23.110 Hannah Wang: Alright, let me… hold on, let me…
50 00:06:25.870 ⇒ 00:06:32.149 Hannah Wang: Figure out how to… how I should adjust my… Set up,
51 00:06:42.940 ⇒ 00:06:45.969 Hannah Wang: Okay, whatever. Alright,
52 00:06:49.600 ⇒ 00:06:53.909 Hannah Wang: Okay, this is kind of awkward, but let’s just… let’s just go for it.
53 00:06:53.910 ⇒ 00:06:56.330 Luke Scorziell: Okay, I better off word now, then.
54 00:06:56.670 ⇒ 00:06:59.139 Hannah Wang: Yeah, I feel like, yeah.
55 00:06:59.400 ⇒ 00:07:01.030 Hannah Wang: Okay,
56 00:07:01.450 ⇒ 00:07:21.419 Hannah Wang: Welcome, everyone, to today’s office hours. This is the first time we’re hosting this type of thing, and we’re super excited. So, today’s topic is going to be about agency AI adoption and everything around that. And Pranav, if you go to the next slide, it’ll just flash up.
57 00:07:21.580 ⇒ 00:07:28.519 Hannah Wang: a quick agenda, so we’ll do a round of intros, then we’ll go into an overview of Brainforge.
58 00:07:28.910 ⇒ 00:07:35.669 Hannah Wang: Then into a demo, and lastly, some Q&A to close us off. So, yeah, before we kinda…
59 00:07:35.720 ⇒ 00:07:52.490 Hannah Wang: dive into team intros, I encourage you all to turn on your video, and I will turn mine on for the actual thing. But I encourage you all to turn on your video… videos, and to also talk, and maybe I’ll give a fair warning that
60 00:07:52.520 ⇒ 00:08:10.199 Hannah Wang: Luke might call on you, just to ask you some questions, or just to chat with you. So, yeah, don’t be afraid to unmute yourself and to make your presence known here. So with that, let’s go into some Brain Forge intros. So, I’m…
61 00:08:10.380 ⇒ 00:08:26.079 Hannah Wang: Hannah, I’ll kind of be facilitating and just intro-ing different sections. I’m the creative and engagement lead here at Brainforge, and Luke and Pranav, do you want to kind of give one sentence on your role and what, you do at Brainforge?
62 00:08:28.780 ⇒ 00:08:37.420 Luke Scorziell: Yeah, so I’m the go-to-market lead, and I’ve been running the marketing team, and yeah, just a great time doing it.
63 00:08:39.440 ⇒ 00:08:46.130 Pranav Narahari: Yeah, and I’m running a lot of the AI projects here at Brainforge. I am…
64 00:08:46.370 ⇒ 00:09:01.259 Pranav Narahari: part of the delivery team, we call it here internally, and so I am not only shipping code, but I’m also engaging directly with clients and talking about what their business problems are, and then working with our team internally to then create solutions.
65 00:09:02.980 ⇒ 00:09:03.850 Hannah Wang: Awesome.
66 00:09:04.030 ⇒ 00:09:05.240 Luke Scorziell: I’m just looking, you’re gonna click it.
67 00:09:06.060 ⇒ 00:09:07.110 Luke Scorziell: I don’t sentence.
68 00:09:14.060 ⇒ 00:09:14.580 Luke Scorziell: Okay.
69 00:09:14.580 ⇒ 00:09:15.290 Hannah Wang: Okay.
70 00:09:15.560 ⇒ 00:09:34.020 Hannah Wang: And then, for everyone else, for the sake of time, we do want to know your role and what you do. So in the chat, if you could put your name, like I said, what you do, and I have a fun, I guess, question for you, is,
71 00:09:34.280 ⇒ 00:09:35.899 Hannah Wang: Yeah, which AI…
72 00:09:36.020 ⇒ 00:09:50.520 Hannah Wang: you would be, whether it’s ChatGPT, or Claude, or Cursor, or if you haven’t heard of any of these, that’s also okay. But yeah, feel free to drop it in the chat, and we can also discuss them there as well.
73 00:09:50.790 ⇒ 00:09:54.490 Hannah Wang: Do you wanna do… do you wanna pick on people?
74 00:09:54.620 ⇒ 00:09:56.020 Hannah Wang: Here, Luke.
75 00:09:57.530 ⇒ 00:10:00.079 Luke Scorziell: I think, I think we’ll just keep moving.
76 00:10:00.290 ⇒ 00:10:00.700 Hannah Wang: Okay.
77 00:10:00.700 ⇒ 00:10:01.320 Luke Scorziell: boy.
78 00:10:01.470 ⇒ 00:10:12.700 Hannah Wang: Cool. So, I’ll hand it over to Pranav to talk about, Brainforge and how we help clients… how we… how we helped our past clients.
79 00:10:12.700 ⇒ 00:10:24.939 Pranav Narahari: Yeah, thanks, Hannah. So, I kind of talked about it a little bit in my intro about what I do here at Brainforge, but if I kind of step back a little bit and talk about what we all do, like, on the delivery team, is,
80 00:10:25.090 ⇒ 00:10:40.819 Pranav Narahari: For the AI service, we are building AI solutions, and how we define AI solutions is we work with clients that probably have heard of AI, are very interested in AI, but don’t necessarily know how to get fully onboarded.
81 00:10:40.850 ⇒ 00:10:55.490 Pranav Narahari: And their extent of using AI can differ drastically. Maybe they’ve built AI solutions in the past, whether internally or using other, external agencies as well.
82 00:10:56.000 ⇒ 00:11:10.719 Pranav Narahari: But what we think about, what we do, is that we try to be that product partner. So we’re not trying to put that on you guys to have, like, a full understanding of the product that you guys want in place. We are there to help with that.
83 00:11:10.720 ⇒ 00:11:26.629 Pranav Narahari: solution. You can rely on us for being, going into the current AI environment and assessing the different tools, what is changing even week by week, for example. You can expect us to, like.
84 00:11:26.630 ⇒ 00:11:35.039 Pranav Narahari: have insight on all these latest changes, and then also feeling… understanding, like, what’s applicable specifically to you guys.
85 00:11:35.710 ⇒ 00:11:44.809 Pranav Narahari: Yeah, Luke, also here, I was just trying to look for the notion. I feel like I’m going… there’s probably, like, some stuff here that I’m just, like, saying that I should probably be more structured.
86 00:11:44.810 ⇒ 00:11:48.719 Luke Scorziell: Yeah, I think, I would say, like, Carlson, the Nation in there.
87 00:11:48.890 ⇒ 00:11:49.560 Luke Scorziell: Oh.
88 00:11:50.570 ⇒ 00:11:52.279 Luke Scorziell: Alright, that turns off my camera.
89 00:11:52.840 ⇒ 00:11:57.380 Luke Scorziell: I would say, like, think of this as, like, more…
90 00:11:58.050 ⇒ 00:12:05.840 Luke Scorziell: you’re, like, introducing yourself to, like, peers, potentially, than clients. They’re not, like, not… but it doesn’t need to be, like… like, we’re not, like, pitching them on, like.
91 00:12:05.930 ⇒ 00:12:08.310 Luke Scorziell: we’re gonna run your AI team, but you can be like.
92 00:12:08.380 ⇒ 00:12:27.070 Luke Scorziell: Yeah, at Brainforge, we’re, like, like, maybe talking about, like, as a team, like, we’re a bunch of, like, super nerdy AI people who are really, like, excited about learning their latest models. We work for a bunch of clients doing, like, X, Y, and Z, and we’re really excited here to tell you about,
93 00:12:27.420 ⇒ 00:12:33.999 Luke Scorziell: or to, like, help, kind of, you… you learn more, because that’s, I think, like, the goal of this is going to be, like.
94 00:12:34.320 ⇒ 00:12:38.320 Luke Scorziell: How are we helping them learn, and…
95 00:12:38.620 ⇒ 00:12:40.900 Luke Scorziell: Kind of like shelling them solutions, so…
96 00:12:41.090 ⇒ 00:12:42.180 Pranav Narahari: 100%.
97 00:12:42.180 ⇒ 00:12:45.950 Luke Scorziell: Yeah, so I don’t know, I don’t know if you want to, like, practice that.
98 00:12:45.950 ⇒ 00:12:53.580 Pranav Narahari: Yeah, I’ll definitely… maybe we can just, like, rerun this again. Where is, that notion, though? Like, I’m sorry, I’m…
99 00:12:53.780 ⇒ 00:12:57.299 Luke Scorziell: I just sent it in the Zoom chat, so I actually sent it in the, in Slack.
100 00:12:57.770 ⇒ 00:12:58.700 Pranav Narahari: Oh, you just did?
101 00:12:59.360 ⇒ 00:13:06.730 Luke Scorziell: I sent it in the Zoom chat, but I’ll send it in Slack. Did my… is my internet okay? Are you guys noticing glitches?
102 00:13:07.310 ⇒ 00:13:09.309 Pranav Narahari: Oh, it’s right here. Okay. No, no, no.
103 00:13:09.310 ⇒ 00:13:10.280 Hannah Wang: I think it’s before.
104 00:13:10.480 ⇒ 00:13:15.050 Hannah Wang: Yeah, I mean, sometimes your video lags, but your audio is relatively…
105 00:13:15.270 ⇒ 00:13:18.719 Hannah Wang: good. Yeah. Like, it doesn’t lack… yeah.
106 00:13:20.870 ⇒ 00:13:22.130 Luke Scorziell: Ideal, okay.
107 00:13:23.920 ⇒ 00:13:25.709 Pranav Narahari: Yeah, let me… okay.
108 00:13:28.520 ⇒ 00:13:32.540 Pranav Narahari: Yeah, so… Yeah, I’ll use… so kind of just, like.
109 00:13:32.740 ⇒ 00:13:40.350 Pranav Narahari: not really think of it as, like, a… I was… I think I was probably doing it more as, like, a formal type pitch, but I can probably just be like, hey.
110 00:13:40.560 ⇒ 00:13:50.840 Pranav Narahari: Like, we just build, like, really cool stuff here at Brainforge, in the AI space, where… We are…
111 00:13:51.680 ⇒ 00:13:53.010 Pranav Narahari: really…
112 00:13:53.080 ⇒ 00:14:05.169 Pranav Narahari: in the weeds on, like, what is out there in the environment right now, what we can build, what LLMs are currently capable of, and yeah, we just love learning more, talking about this all the time.
113 00:14:05.210 ⇒ 00:14:20.560 Pranav Narahari: And so, going forward, like, in this conversation too, like, if I bring up something that, you know, maybe you’re like, oh, I want to dig deeper into that, or if I say something, you’re like, I don’t know what that means, like, let me know, like, this is the perfect time to, like, talk more about that stuff.
114 00:14:21.230 ⇒ 00:14:25.530 Pranav Narahari: And then, okay, so then next I go into, like…
115 00:14:25.680 ⇒ 00:14:31.209 Luke Scorziell: That, yeah, that’s… I think that’s the… that’s a lot better, because I think, like, positioning ourselves as, like, hey, we’re…
116 00:14:31.650 ⇒ 00:14:39.220 Luke Scorziell: we’re not, like, out of reach. I think that’s, like, part of the conversation, too, that we want to, like, make… make them feel comfortable with, like.
117 00:14:39.610 ⇒ 00:14:45.859 Luke Scorziell: we’re not, like, some high-in-the-sky, like, AI experts that, like, you are never gonna be able to do what we’re doing.
118 00:14:47.210 ⇒ 00:14:53.029 Luke Scorziell: we, like, like, you know, even the story that you told in the David and Goliath call earlier this week, like.
119 00:14:53.580 ⇒ 00:15:03.920 Luke Scorziell: like, you started using AI back in 2023, you’re, like, learning a lot all the time, and our goal here is, like, really to help,
120 00:15:04.710 ⇒ 00:15:09.130 Luke Scorziell: yeah, I hope you guys learn more about AI and see how
121 00:15:09.290 ⇒ 00:15:14.290 Luke Scorziell: how you can leverage it to help… help you. And then I love what you said about, like,
122 00:15:15.180 ⇒ 00:15:23.330 Luke Scorziell: Yeah, that, like, how you framed, like, if we bring up anything that you don’t understand, feel free to ask me questions and stuff.
123 00:15:24.230 ⇒ 00:15:25.040 Pranav Narahari: Gotcha.
124 00:15:25.300 ⇒ 00:15:28.969 Pranav Narahari: Is that enough of an overview about Brainforge, though?
125 00:15:29.840 ⇒ 00:15:36.299 Pranav Narahari: if I, like, bring up, like… should I just talk about, instead of, like, just me specifically, like, kind of like that,
126 00:15:36.840 ⇒ 00:15:52.679 Pranav Narahari: that story of, like, okay, how I got intro’d into Brainforge, I can just kind of talk about, like, okay, that is the background of a lot of our engineers, like, they’ve kind of saw this wave of, like, AI tools, and they realized, like, it really, like, accelerated their, development, and…
127 00:15:52.800 ⇒ 00:16:01.499 Pranav Narahari: I’m not the only one to say this at Brain Forge, like, a lot of people here at Brain Forge, like, feel the same way about their careers, like, they saw, like, how…
128 00:16:02.060 ⇒ 00:16:08.560 Pranav Narahari: LLMs could really just, like, build something way different than what they’ve been building in the past, and then…
129 00:16:08.560 ⇒ 00:16:09.520 Luke Scorziell: Yeah.
130 00:16:09.520 ⇒ 00:16:10.840 Pranav Narahari: Something like that. Okay, cool.
131 00:16:10.840 ⇒ 00:16:15.050 Luke Scorziell: I like that, so, yeah, I like that a lot, and what I would think about, too, is, like, we’re…
132 00:16:15.500 ⇒ 00:16:19.760 Luke Scorziell: Creating, like, a community where hopefully everyone kind of feels like they’re on the same level.
133 00:16:20.040 ⇒ 00:16:21.180 Luke Scorziell: And…
134 00:16:21.180 ⇒ 00:16:26.779 Pranav Narahari: Okay. And so, with that, it’s like, yeah, like, a lot of our engineers were where you guys might have been.
135 00:16:27.820 ⇒ 00:16:31.850 Luke Scorziell: Or it might be now, I mean, I don’t know if that’s fully true, but, like,
136 00:16:32.630 ⇒ 00:16:35.750 Luke Scorziell: Well, it might be. Like, a lot of our engineers
137 00:16:35.960 ⇒ 00:16:42.120 Luke Scorziell: like, oh, Amber, I mean, Amber wasn’t, like, an AI engineer or anything, like, a lot of our engineers are just, like, learning
138 00:16:42.240 ⇒ 00:16:45.419 Luke Scorziell: And really, like, growing a lot.
139 00:16:45.910 ⇒ 00:16:52.239 Luke Scorziell: And so, like, we’re kind of hoping that this can also be, like, a place for you to feel like AI is more accessible.
140 00:16:52.370 ⇒ 00:16:53.410 Luke Scorziell: Yeah.
141 00:16:54.100 ⇒ 00:16:59.280 Luke Scorziell: And then I’m happy to share, too, like, here, too, a little bit of, like, yeah, I mean, I was, like…
142 00:17:00.050 ⇒ 00:17:02.100 Luke Scorziell: I’ve been a pretty, like, AI.
143 00:17:02.840 ⇒ 00:17:09.719 Luke Scorziell: I’m not, like, I use it a lot, but I’m not, like, an expert, but Brainforge has really pushed me to learn a lot more, so…
144 00:17:10.130 ⇒ 00:17:10.890 Pranav Narahari: Okay.
145 00:17:11.140 ⇒ 00:17:16.299 Pranav Narahari: Yeah, I like that. Let me just write down a quick note, just so I’d catch that.
146 00:17:16.829 ⇒ 00:17:17.419 Luke Scorziell: Yeah.
147 00:17:19.169 ⇒ 00:17:23.859 Luke Scorziell: And… and then I think… The… sorry, I guess I can’t let you write it.
148 00:17:43.319 ⇒ 00:17:44.449 Pranav Narahari: Perfect, okay.
149 00:17:48.459 ⇒ 00:17:54.809 Pranav Narahari: And then next, should I kind of go in-depth about, like, or maybe not super in-depth, because it’s only…
150 00:17:55.199 ⇒ 00:18:03.369 Pranav Narahari: what, 2 minutes? About just, what we built… for… Lilo and ABC?
151 00:18:04.770 ⇒ 00:18:09.240 Luke Scorziell: Yeah, I think, if you wanna…
152 00:18:12.490 ⇒ 00:18:18.600 Luke Scorziell: Just maybe sharing from, like, a perspective of, like, these are the users of the systems that we probably made, so, like…
153 00:18:20.620 ⇒ 00:18:27.459 Luke Scorziell: At one of our ad agencies, we built out, like, tools to automate brief generation, automate forecasting models, automate
154 00:18:27.760 ⇒ 00:18:33.530 Luke Scorziell: You know, reporting and streamline a lot of these processes, so… because they’re not gonna, like…
155 00:18:33.790 ⇒ 00:18:39.609 Luke Scorziell: Like, just helping them understand, like, here’s how we sped up things, and, like, the goal of this is to kind of spur ideas of, like.
156 00:18:40.080 ⇒ 00:18:40.460 Pranav Narahari: God.
157 00:18:40.460 ⇒ 00:18:41.100 Luke Scorziell: position.
158 00:18:41.500 ⇒ 00:18:46.970 Pranav Narahari: Okay, so actually, it sounds like we have more time for this. I think 5 to 7 minutes is probably…
159 00:18:47.730 ⇒ 00:18:49.510 Luke Scorziell: Yeah, I probably fucked, so it was not.
160 00:18:50.400 ⇒ 00:18:58.029 Pranav Narahari: I think it’s supposed to be 5 to 13… I think how we’re thinking about this is, like, the timestamps, right? Like, so 5 to 13 minute mark? Yeah.
161 00:18:58.030 ⇒ 00:18:58.620 Luke Scorziell: Correct.
162 00:18:59.170 ⇒ 00:18:59.810 Pranav Narahari: Okay.
163 00:18:59.960 ⇒ 00:19:00.660 Pranav Narahari: Cool.
164 00:19:03.790 ⇒ 00:19:15.450 Pranav Narahari: Yeah, Hannah, also if, like, you… I’ll try to keep track of this, but, like, if you feel like I’m going, like, over time, like, just Slack me, I’ll have, like, Slack open, and then I’ll just, like, wrap it up.
165 00:19:15.820 ⇒ 00:19:16.480 Hannah Wang: Okay.
166 00:19:17.830 ⇒ 00:19:20.270 Pranav Narahari: That would be helpful for me, thank you.
167 00:19:20.660 ⇒ 00:19:27.980 Pranav Narahari: Okay, cool. Sounds good. I think… I feel pretty good here, then.
168 00:19:35.160 ⇒ 00:19:36.850 Luke Scorziell: Okay, well, I can then…
169 00:19:37.980 ⇒ 00:19:53.649 Luke Scorziell: Yeah, the demo, I can probably also use some… some guidance on… from you guys. Yeah, so, great. And yeah, like… like we mentioned, Pranav, and the AI team building a ton of stuff, and I think for… for myself, too, like, I’m…
170 00:19:54.330 ⇒ 00:20:06.960 Luke Scorziell: been an avid user of ChatGPT in the past, and I’ve always felt like the coding world and developer world is, like, a little bit out of touch for me. But yeah, I wanted to
171 00:20:07.530 ⇒ 00:20:12.739 Luke Scorziell: But Brainforge, and I think working at Brainforge, just showed me that that’s not fully the case, and…
172 00:20:13.220 ⇒ 00:20:21.960 Luke Scorziell: Yeah, so I’d like to show you guys a demo that… We’ve built, and…
173 00:20:23.060 ⇒ 00:20:29.199 Luke Scorziell: Yeah, this is, something that Alice kind of mentioned in her pre…
174 00:20:30.870 ⇒ 00:20:35.360 Luke Scorziell: Questions, yeah, I need to just script, like, what are the things that I’m gonna highlight in this demo.
175 00:20:36.240 ⇒ 00:20:40.050 Luke Scorziell: Because I’m like, I think this will be, like, kind of what she wanted, but,
176 00:20:40.420 ⇒ 00:20:47.209 Luke Scorziell: Yeah, so Alice, you know, maybe before we dive into this demo, you could kind of share… I guess before I share, I can send one.
177 00:20:56.450 ⇒ 00:20:57.230 Luke Scorziell: Okay, spot.
178 00:21:08.540 ⇒ 00:21:16.970 Pranav Narahari: you could even frame it as, like, okay, you’re just demoing it generally, but then it’s, like, Alice’s ears are definitely gonna just, like, you know.
179 00:21:17.130 ⇒ 00:21:29.409 Pranav Narahari: like, she just doesn’t… she’s gonna be, like, more interested, right? She’d be like, oh, this is, like, exactly kind of, like, what I was putting in the description of, like, when I was trying to sign up for the office hours. So then it’s, like, an easy kind of pitch to be like, hey, Alice, like.
180 00:21:29.610 ⇒ 00:21:36.220 Pranav Narahari: how do you feel like that this relates to, like, the problem that you specified? We can have a conversation there.
181 00:21:43.550 ⇒ 00:21:50.329 Luke Scorziell: Yeah, okay, so I’ll just maybe ask, like, hey, Alice, like, thanks so much for being here, hopefully she is here. So, kind of a…
182 00:21:50.900 ⇒ 00:21:52.190 Luke Scorziell: I don’t know.
183 00:21:52.190 ⇒ 00:21:53.890 Pranav Narahari: True.
184 00:21:54.770 ⇒ 00:22:08.660 Luke Scorziell: Yeah, I know you mentioned that you do daily, monitoring for some of your clients, and I don’t know exactly what that looks like, maybe searching a list of, like, related terms on Google, but yeah, maybe you could just tell us, like.
185 00:22:08.790 ⇒ 00:22:12.700 Luke Scorziell: You know, what does that look like for you? How long is that taking you every day?
186 00:22:18.790 ⇒ 00:22:24.020 Luke Scorziell: Okay, so, yeah, thanks for sharing. I’ve whipped up a quick…
187 00:22:24.290 ⇒ 00:22:29.670 Luke Scorziell: Demo for you of, like, some… something that’s similar to tools that we’ve built out for other clients.
188 00:22:29.810 ⇒ 00:22:41.560 Luke Scorziell: And I am… I am not the AI engineer, so, my… my demos are just, kind of for show. But, yeah, we built kind of this, like, Slack-like,
189 00:22:42.200 ⇒ 00:22:47.610 Luke Scorziell: app that can kind of show you, like, you’ve got different client channels, or…
190 00:22:48.050 ⇒ 00:22:53.520 Luke Scorziell: you know, I don’t know who your guys’ clients are, but, like, let’s say it’s, like, Alyssa Liu, and…
191 00:22:53.860 ⇒ 00:22:56.999 Luke Scorziell: Every morning, you get, like, a…
192 00:22:57.370 ⇒ 00:23:04.329 Luke Scorziell: We can… you can set it up so that every morning you get a daily brief of, like, what happened on,
193 00:23:05.250 ⇒ 00:23:12.570 Luke Scorziell: the previous day. Or, I mean, you could set this up to be hour-to-hour, and something that you offer your clients in different
194 00:23:12.690 ⇒ 00:23:17.820 Luke Scorziell: Yeah, standards too, just so you’re apprised of the information that’s going on, so…
195 00:23:18.300 ⇒ 00:23:25.089 Luke Scorziell: Yeah, so as you can see, like, each morning, 8 AM, obviously this is simulated, it’s going back, and…
196 00:23:25.500 ⇒ 00:23:28.760 Luke Scorziell: Pulling out, different things that have
197 00:23:28.940 ⇒ 00:23:31.760 Luke Scorziell: Keywords where she’s been brought up, and then you can also…
198 00:23:32.290 ⇒ 00:23:34.939 Luke Scorziell: If you want to search, like.
199 00:23:36.650 ⇒ 00:23:39.200 Luke Scorziell: It’s kind of set up, so you can just click,
200 00:23:39.880 ⇒ 00:23:43.859 Luke Scorziell: I don’t know, maybe it looks like there’s some kind of open source controversy, so…
201 00:23:44.250 ⇒ 00:23:51.049 Luke Scorziell: Again, then you can kind of get this information, and it’ll show you, then, like, the links, and where you can…
202 00:23:51.490 ⇒ 00:23:57.789 Luke Scorziell: go to C, so this just goes to Google, but yeah, same thing for other clients. This is something that you could get set up.
203 00:23:58.400 ⇒ 00:24:03.750 Luke Scorziell: Yeah, and… okay, so I need to put a few, like, key points that I want to highlight.
204 00:24:10.530 ⇒ 00:24:12.280 Luke Scorziell: That’s, like, one built.
205 00:24:12.800 ⇒ 00:24:13.790 Luke Scorziell: Slack.
206 00:24:16.340 ⇒ 00:24:17.110 Luke Scorziell: Oh, that’s horrible.
207 00:24:28.320 ⇒ 00:24:33.519 Luke Scorziell: Is anything standing out from this as, like, being interesting with the demo? Or, like… What do you think?
208 00:24:33.520 ⇒ 00:24:41.490 Pranav Narahari: I think that point that you just made, like, and we should probably highlight it, is, like, this is Slack. Think of this as, like, okay, we’re not building off…
209 00:24:41.840 ⇒ 00:24:47.009 Pranav Narahari: fresh web app. It’s like, this is integrated currently, like, where you’re currently doing communication.
210 00:24:48.570 ⇒ 00:24:49.140 Luke Scorziell: Yeah.
211 00:24:50.860 ⇒ 00:25:00.380 Pranav Narahari: Yeah, so probably just, like, setting the scene a little bit, like… That, that’s gonna be helpful.
212 00:25:11.410 ⇒ 00:25:14.490 Luke Scorziell: I guess the goal of this is to just kind of, like, start peaking there.
213 00:25:15.230 ⇒ 00:25:18.210 Luke Scorziell: Like, interest, it’s not to show some kind of, like.
214 00:25:18.760 ⇒ 00:25:25.410 Luke Scorziell: So I’m not like, this is cool, I guess, but it’s not like… Insane.
215 00:25:27.050 ⇒ 00:25:30.719 Luke Scorziell: So, yeah, okay, so this is a demo we built,
216 00:25:31.020 ⇒ 00:25:50.880 Luke Scorziell: for Alice, and just kind of based on what you submitted in your question for today. And yeah, as you can see, this is entirely built within what would be Slack, and the key thing that we found with that is that the best AI is AI that you bring to your current systems, as opposed to
217 00:25:50.910 ⇒ 00:26:06.189 Luke Scorziell: AI that you’re having to, like, if your company builds a whole internal platform or something like that, that often requires a huge step of adoption, versus with us, a lot of the AI that we can… we build out is embedded within the
218 00:26:06.250 ⇒ 00:26:10.119 Luke Scorziell: Tools, and methods of communication that you’re already using.
219 00:26:10.230 ⇒ 00:26:15.399 Luke Scorziell: So you can imagine if, like, every morning.
220 00:26:16.330 ⇒ 00:26:26.359 Luke Scorziell: you come in, and I don’t know how much time… you said that you’re spending maybe an hour every morning monitoring different terms. And so, imagine if you came in, and instead of having to, like.
221 00:26:26.820 ⇒ 00:26:44.290 Luke Scorziell: go search manually. Each day, you got a message with an AI summary of the recent terms, and then when you… when you click into it, this is just gonna go to Google, but when you click into it, it actually shows you, like, some of the recent articles, that have come up. And so…
222 00:26:44.450 ⇒ 00:26:48.820 Luke Scorziell: That’s something where it’s very simple. And…
223 00:26:49.470 ⇒ 00:27:01.569 Luke Scorziell: it saves you a lot of time, and then allows you to be more proactive, about finding what’s coming up in the news. You could set this up to be every… on the top of every hour, as well.
224 00:27:01.870 ⇒ 00:27:08.140 Luke Scorziell: And so, yeah, those are kind of simple wins that we’re finding. So if, yeah, I just wanted to, like, click through.
225 00:27:09.790 ⇒ 00:27:16.360 Luke Scorziell: contract different terms as well. So yeah, I’d be curious to hear how this looks to you, and what,
226 00:27:17.820 ⇒ 00:27:20.569 Luke Scorziell: Yeah, what… what you’re thinking about.
227 00:27:21.030 ⇒ 00:27:21.790 Luke Scorziell: Okay.
228 00:27:23.120 ⇒ 00:27:25.009 Luke Scorziell: a little better. I felt more structured.
229 00:27:25.740 ⇒ 00:27:28.610 Pranav Narahari: Yeah, I think that’s a good segue into, like, the discussion.
230 00:27:29.110 ⇒ 00:27:29.730 Luke Scorziell: Okay.
231 00:27:29.730 ⇒ 00:27:32.749 Pranav Narahari: Yeah, so that… maybe the demo also then does not need to be…
232 00:27:34.100 ⇒ 00:27:35.759 Luke Scorziell: 13 to 25 minutes.
233 00:27:36.880 ⇒ 00:27:38.849 Luke Scorziell: I feel like probably, like, 13 to 20.
234 00:27:40.460 ⇒ 00:27:42.010 Pranav Narahari: Yeah, that’s true.
235 00:27:42.890 ⇒ 00:27:45.160 Luke Scorziell: I mean, maybe she’ll have a little bit of discussion, like.
236 00:27:50.650 ⇒ 00:27:52.660 Luke Scorziell: Maybe I should message her before.
237 00:27:57.210 ⇒ 00:27:58.909 Pranav Narahari: And I think even if it…
238 00:27:59.060 ⇒ 00:28:04.760 Pranav Narahari: extends. The reason why it’s gonna extend is because we’re kind of having the discussion, right?
239 00:28:05.450 ⇒ 00:28:08.080 Luke Scorziell: Yeah, so it’s not so, like… .
240 00:28:08.080 ⇒ 00:28:10.800 Pranav Narahari: I don’t really think it’s, like, affecting the agenda that much, like…
241 00:28:11.060 ⇒ 00:28:13.110 Pranav Narahari: It’s just kind of a good segue.
242 00:28:14.520 ⇒ 00:28:15.250 Luke Scorziell: Yeah.
243 00:28:15.590 ⇒ 00:28:16.290 Luke Scorziell: Oh, man.
244 00:28:24.170 ⇒ 00:28:26.380 Hannah Wang: Do you know Alyssa, personally?
245 00:28:30.200 ⇒ 00:28:33.740 Luke Scorziell: Wait, well, sorry, this is confusing, because there’s Alice.
246 00:28:34.020 ⇒ 00:28:35.290 Luke Scorziell: And then.
247 00:28:36.080 ⇒ 00:28:43.329 Hannah Wang: Oh, sorry, not Alice. Sorry, Alice, not Alyssa, not the ice skater, the participant.
248 00:28:43.330 ⇒ 00:28:45.649 Luke Scorziell: Generally know Alice from USC.
249 00:28:45.980 ⇒ 00:28:53.119 Hannah Wang: Okay, I was just wondering, like, if she’d be okay, kind of, getting put on the spot, kind of.
250 00:28:55.180 ⇒ 00:28:57.560 Hannah Wang: But if you know her, I think it’s a little.
251 00:28:57.560 ⇒ 00:28:59.850 Luke Scorziell: I don’t know her well enough that I would be, like…
252 00:29:00.130 ⇒ 00:29:02.310 Luke Scorziell: I should have just wrote them as descriptive.
253 00:29:04.450 ⇒ 00:29:05.900 Luke Scorziell: So, okay, well…
254 00:29:05.900 ⇒ 00:29:06.650 Hannah Wang: Yeah.
255 00:29:08.300 ⇒ 00:29:09.449 Luke Scorziell: Should I message her?
256 00:29:10.760 ⇒ 00:29:12.809 Luke Scorziell: I think I’ll… Rewarding would be.
257 00:29:13.280 ⇒ 00:29:14.360 Luke Scorziell: Okay, beautiful.
258 00:29:56.260 ⇒ 00:30:00.399 Luke Scorziell: A few churn out is to ask people, probably before we build out demos for them.
259 00:30:01.390 ⇒ 00:30:03.160 Luke Scorziell: Or put them on the spot.
260 00:30:03.990 ⇒ 00:30:10.299 Luke Scorziell: Okay, anything else, then, that… maybe with the…
261 00:30:17.600 ⇒ 00:30:28.769 Pranav Narahari: I’m trying to think, like, with the discussion, say it’s just, like, crickets, that might be a good point, too, like, even if you do, like, the personalized questions, and there’s still, like, we have time left.
262 00:30:29.170 ⇒ 00:30:32.739 Pranav Narahari: Do you think that’s, like, a good point, maybe at the end, to just be like.
263 00:30:33.180 ⇒ 00:30:39.890 Pranav Narahari: hey, like, have y’all been hearing about, like, knowledge bases, MCP servers, CloudBot?
264 00:30:40.080 ⇒ 00:30:44.340 Pranav Narahari: Does anybody have, like, questions on those? Like, about how that could…
265 00:30:45.260 ⇒ 00:30:56.459 Pranav Narahari: you know, even simply just be, like, what do they mean? Or maybe even, like, how that could… maybe you have an understanding of, like, what they mean, but, like, you’re not exactly sure where it could fit in, like, for…
266 00:30:56.570 ⇒ 00:30:59.170 Pranav Narahari: Certain problems that you guys are facing.
267 00:30:59.300 ⇒ 00:31:03.989 Pranav Narahari: It’s kind of like what we were talking about, like, defining key terms yesterday.
268 00:31:03.990 ⇒ 00:31:04.700 Luke Scorziell: Yeah.
269 00:31:06.270 ⇒ 00:31:08.889 Pranav Narahari: It can just be something that we just keep in, like, our back pocket.
270 00:31:10.020 ⇒ 00:31:12.690 Luke Scorziell: Yeah, no, I think that’s… that’s good.
271 00:31:12.750 ⇒ 00:31:16.999 Pranav Narahari: Like, I think end of discussion, probably, or, like, at some point in discussion.
272 00:31:19.550 ⇒ 00:31:22.029 Luke Scorziell: Yeah, okay.
273 00:31:29.060 ⇒ 00:31:33.730 Pranav Narahari: I also think it’s, like, not important if, like, we’re having good discussion already.
274 00:31:35.950 ⇒ 00:31:47.890 Pranav Narahari: And it might just naturally happen, like, as we’re discussing, and I, like, answer some technical questions, I’ll be like, oh, well, yeah, so a good… this is a good use case for knowledge bases, this is a good use case for MCP servers, etc.
275 00:31:50.000 ⇒ 00:31:56.480 Luke Scorziell: Yeah, well, maybe what would be interesting is, like, What about…
276 00:32:01.060 ⇒ 00:32:10.579 Luke Scorziell: It’s kind of like, we show this demo, and then, obviously, Alice is kind of, like, the one example that we’re showing, but, like, everyone might find this…
277 00:32:11.460 ⇒ 00:32:19.759 Luke Scorziell: Or this… this hopefully will kind of spur ideas in everyone, and so maybe then from there, we kind of go, like, oh, it’s, like, curious to hear, like.
278 00:32:20.060 ⇒ 00:32:25.679 Luke Scorziell: If you’re comfortable sharing, like, what… how this looks to you, and then she can kind of share.
279 00:32:25.860 ⇒ 00:32:32.030 Luke Scorziell: And then… We could ask, like, has anyone else had issues?
280 00:32:34.550 ⇒ 00:32:35.800 Luke Scorziell: adopting.
281 00:32:36.380 ⇒ 00:32:37.819 Luke Scorziell: Adopting tools.
282 00:32:38.720 ⇒ 00:32:41.190 Luke Scorziell: That were built outside.
283 00:32:42.480 ⇒ 00:32:43.340 Luke Scorziell: Normal.
284 00:32:43.580 ⇒ 00:32:44.450 Luke Scorziell: Workflows.
285 00:32:45.760 ⇒ 00:32:49.119 Luke Scorziell: And then, like… What does… what ideas?
286 00:32:50.130 ⇒ 00:32:53.080 Luke Scorziell: What is the spring of whatever else?
287 00:32:55.440 ⇒ 00:32:59.309 Luke Scorziell: Was that… yeah, okay, I think that’s… that’s… that might be a good way to kick off the discussion.
288 00:32:59.730 ⇒ 00:33:06.670 Luke Scorziell: Of, like, show the demo, and then say, you know…
289 00:33:06.940 ⇒ 00:33:12.320 Luke Scorziell: What other tools have you guys tried to adopt, but… Haven’t really worked out.
290 00:33:12.830 ⇒ 00:33:17.790 Luke Scorziell: And then just ask, like, what are some simple…
291 00:33:19.350 ⇒ 00:33:23.310 Luke Scorziell: like, workflows that you wish you could solve. And then we can kind of go into the…
292 00:33:25.200 ⇒ 00:33:27.070 Luke Scorziell: The questions, if we need to.
293 00:33:28.270 ⇒ 00:33:29.550 Pranav Narahari: Yeah, sounds good.
294 00:33:40.290 ⇒ 00:33:43.959 Luke Scorziell: Okay. Then I guess, like, the close is probably the most…
295 00:33:46.720 ⇒ 00:33:49.860 Luke Scorziell: It’s always, like, the intro and the close are the most important parts.
296 00:33:54.040 ⇒ 00:33:59.380 Hannah Wang: Do you want to close? I’m not confident in, like, Selling.
297 00:34:00.160 ⇒ 00:34:02.500 Luke Scorziell: I don’t think we need to sell, I think…
298 00:34:02.500 ⇒ 00:34:05.950 Hannah Wang: Or just sounding enticing enough that they come back.
299 00:34:07.280 ⇒ 00:34:10.929 Luke Scorziell: I’m happy to close,
300 00:34:12.100 ⇒ 00:34:18.120 Luke Scorziell: I mean, we can… yeah, I think just… like… Thank you all.
301 00:34:23.139 ⇒ 00:34:26.630 Luke Scorziell: Discussion… Oh, alright.
302 00:34:27.960 ⇒ 00:34:28.929 Luke Scorziell: You’re dead.
303 00:34:30.139 ⇒ 00:34:37.020 Luke Scorziell: as well, we’ll send each of you.
304 00:34:40.360 ⇒ 00:34:41.150 Luke Scorziell: No.
305 00:34:50.179 ⇒ 00:34:51.980 Luke Scorziell: Inviting.
306 00:35:01.900 ⇒ 00:35:02.660 Luke Scorziell: Questions?
307 00:35:19.850 ⇒ 00:35:23.430 Luke Scorziell: Okay, I think… That’s probably pretty good.
308 00:35:28.860 ⇒ 00:35:29.450 Luke Scorziell: Maybe I can…
309 00:35:29.450 ⇒ 00:35:29.890 Hannah Wang: Are you gonna say.
310 00:35:29.890 ⇒ 00:35:32.980 Luke Scorziell: Sorry. Or, yeah, sorry.
311 00:35:32.980 ⇒ 00:35:34.839 Hannah Wang: Oh, yeah, that’s what I was going to say.
312 00:35:35.310 ⇒ 00:35:38.580 Hannah Wang: Sun, you’re a default link in the… chat.
313 00:35:41.010 ⇒ 00:35:44.190 Luke Scorziell: Yeah, I mean, maybe we could get, like, 2 or 3 meetings booked from this.
314 00:35:45.460 ⇒ 00:35:47.070 Hannah Wang: Yeah, oh, I feel like it…
315 00:35:47.230 ⇒ 00:35:57.899 Hannah Wang: probably be more helpful if we sent it in the email. Not that we weren’t going to, but… because we’re going to end the Zoom, and then they’re going to lose the link, so it doesn’t really…
316 00:35:58.780 ⇒ 00:35:59.350 Hannah Wang: matter.
317 00:35:59.350 ⇒ 00:36:01.560 Luke Scorziell: We could do, yeah, we could do… we could do both.
318 00:36:02.120 ⇒ 00:36:02.850 Hannah Wang: Yeah.
319 00:36:05.290 ⇒ 00:36:12.969 Luke Scorziell: So I think if we send it in the Zoom chat, they might just open it in the moment, and then just have it open. But they don’t… yeah, once we close the Zoom.
320 00:36:14.940 ⇒ 00:36:17.100 Luke Scorziell: Okay.
321 00:36:18.690 ⇒ 00:36:29.399 Pranav Narahari: if we’re, like, mid-conversation and discussion, I’m just trying to, like, think of edge cases, you know? I was like, okay, no one talks and it’s crickets, or if it’s just, like, everyone talks, you know?
322 00:36:30.670 ⇒ 00:36:33.400 Pranav Narahari: How do we want to go about that? Just be like…
323 00:36:34.140 ⇒ 00:36:38.110 Pranav Narahari: Hey, let’s, we’re kind of closing in on the office hours, great question.
324 00:36:38.310 ⇒ 00:36:41.339 Pranav Narahari: Let’s try to find, like, 30 minutes later, something like that.
325 00:36:42.750 ⇒ 00:36:56.690 Luke Scorziell: Yeah, I think, like, hey, this is going, like, obviously, this is going really well, like, appreciate y’all joining, and, you know, this has been a really awesome conversation. Fortunately, this is not going to be the last office hours.
326 00:36:56.690 ⇒ 00:37:05.509 Luke Scorziell: And so, we’ll follow up with an email tomorrow, letting you guys know about when the next one will be, and would love to continue the conversation there.
327 00:37:05.580 ⇒ 00:37:14.599 Luke Scorziell: And then just, like, if anyone has any burning desires or questions, then feel free to message myself or Pranav, or…
328 00:37:14.850 ⇒ 00:37:17.579 Luke Scorziell: You can go ahead and book a,
329 00:37:17.930 ⇒ 00:37:21.620 Luke Scorziell: a call, on my calendar, and I’d be happy to talk through.
330 00:37:21.940 ⇒ 00:37:23.340 Luke Scorziell: Whatever’s coming up for you.
331 00:37:23.790 ⇒ 00:37:24.380 Pranav Narahari: Perfect.
332 00:37:24.760 ⇒ 00:37:28.589 Luke Scorziell: Yeah, so I think… I think, yeah, that risks are…
333 00:37:30.930 ⇒ 00:37:40.519 Luke Scorziell: Yeah, Jake, I don’t know if you saw the message that I sent, is, like, kind of a wild card, maybe? Just saying that… that post that he put out this morning, I was like, okay, that’s interesting.
334 00:37:42.720 ⇒ 00:37:45.079 Pranav Narahari: I didn’t read the post yet.
335 00:37:45.080 ⇒ 00:37:51.719 Luke Scorziell: It is just, like, agencies don’t need to build operating systems. They have, like, CloudBot, or you can use, like.
336 00:37:52.790 ⇒ 00:37:55.569 Luke Scorziell: Yeah, so it was… it’s… I think he’s…
337 00:37:55.940 ⇒ 00:38:00.689 Luke Scorziell: Has potential, probably would not, but it has potential to be someone that could, like.
338 00:38:01.600 ⇒ 00:38:06.319 Luke Scorziell: Really start, like, drilling down on, like, topics that are kind of, like, superfluous, too.
339 00:38:08.120 ⇒ 00:38:09.489 Luke Scorziell: Yeah, just like…
340 00:38:10.320 ⇒ 00:38:12.600 Pranav Narahari: Are you, like, you’re thinking of being, like, a little bit skeptical?
341 00:38:14.140 ⇒ 00:38:18.580 Luke Scorziell: It could be, I don’t know. He just… I talked to him recently, and it was fine, but…
342 00:38:19.650 ⇒ 00:38:26.630 Luke Scorziell: Just… he’s, I don’t know how to say this, though.
343 00:38:27.530 ⇒ 00:38:29.379 Luke Scorziell: Can come off as a little pretentious.
344 00:38:29.640 ⇒ 00:38:30.310 Pranav Narahari: Mmm.
345 00:38:30.310 ⇒ 00:38:33.019 Luke Scorziell: So I don’t want that to shut down the rest of the group.
346 00:38:33.350 ⇒ 00:38:34.730 Pranav Narahari: 100%, yeah.
347 00:38:35.760 ⇒ 00:38:39.099 Luke Scorziell: Sophie’s like, well, I just want to ask about,
348 00:38:39.780 ⇒ 00:38:53.100 Luke Scorziell: evals and how XYZ model is doing on the Buddha, like, then, like, we could be like, hey, like, yeah, totally under… yeah, yeah, that’s a really interesting question. Maybe you could answer it, Pranav, like, kind of…
349 00:38:53.310 ⇒ 00:39:00.580 Luke Scorziell: enough, but I wouldn’t engage too deeply if it starts going down a path that’s like, Super technical.
350 00:39:01.080 ⇒ 00:39:01.810 Pranav Narahari: Yeah.
351 00:39:02.870 ⇒ 00:39:06.310 Luke Scorziell: So… Cool, okay, I think we’re…
352 00:39:07.290 ⇒ 00:39:10.080 Luke Scorziell: In a good spot. That’s, like, the biggest risk, I would say.
353 00:39:10.620 ⇒ 00:39:19.979 Luke Scorziell: Hopefully we’ll be fine, and then if nothing else, then it’ll be… I know that, like, Donovan, Leo…
354 00:39:20.660 ⇒ 00:39:24.840 Luke Scorziell: Troy. Troy is, like, a very agency-minded guy.
355 00:39:25.220 ⇒ 00:39:28.259 Luke Scorziell: Like, Jeff, obviously, we talk to, so…
356 00:39:28.760 ⇒ 00:39:32.010 Luke Scorziell: Yeah, we can just kind of see where the conversation flows, but…
357 00:39:34.310 ⇒ 00:39:41.450 Hannah Wang: Can we all move to the actual link? Just because I want to set up everything, so we can just all hop there, and then…
358 00:39:41.680 ⇒ 00:39:43.950 Hannah Wang: Talk there. Yeah. Okay, see you there.
359 00:39:43.950 ⇒ 00:39:46.080 Luke Scorziell: Can you send it, actually? Because I don’t know that.
360 00:39:51.010 ⇒ 00:39:58.350 Hannah Wang: Okay, let me… yeah, my calendar… okay, I’ll figure it out, but I’ll send you guys a link. I’ll be there.