Meeting Title: Zoom Meeting Date: 2025-06-10 Meeting participants: Uttam Kumaran, Robert Tseng
WEBVTT
1 00:00:18.480 ⇒ 00:00:19.550 Robert Tseng: Page.
2 00:00:19.850 ⇒ 00:00:21.230 Uttam Kumaran: Hey? Can you hear me?
3 00:00:21.830 ⇒ 00:00:22.879 Robert Tseng: Can you hear me?
4 00:00:23.210 ⇒ 00:00:25.589 Uttam Kumaran: Yes, looking good.
5 00:00:25.890 ⇒ 00:00:26.750 Robert Tseng: Thank you.
6 00:00:27.982 ⇒ 00:00:29.640 Uttam Kumaran: How is it?
7 00:00:29.640 ⇒ 00:00:34.660 Robert Tseng: It’s like, you gotta you gotta look the part. So people take things like, seriously, I guess.
8 00:00:36.370 ⇒ 00:00:37.080 Robert Tseng: Yeah.
9 00:00:37.330 ⇒ 00:00:47.989 Robert Tseng: well, I mean, I we we went to mediation. Tried to get it out, of course. Settlement, I mean 205. So, but that’s what it is. So I haven’t actually spoken to the judge yet. I’m scheduled for 1 30.
10 00:00:48.640 ⇒ 00:00:56.770 Uttam Kumaran: And so give me the tldr like what it’s like. You’re just gonna be like, yeah, if you were had like 30 second pitch on. Why you should win.
11 00:00:58.550 ⇒ 00:01:08.519 Robert Tseng: Oh, well, yeah, I mean, she just didn’t like return like maybe 30% of her security deposit. So yeah, I mean, that was me like.
12 00:01:09.480 ⇒ 00:01:15.399 Robert Tseng: I mean, I just maxed out. So I’m I’m smoking support maximum is 5 K, so I’m just sitting over 5 min.
13 00:01:15.690 ⇒ 00:01:16.519 Robert Tseng: That’s basically.
14 00:01:17.360 ⇒ 00:01:18.549 Uttam Kumaran: Double. No serious.
15 00:01:18.550 ⇒ 00:01:20.699 Uttam Kumaran: But you. You met her in person today.
16 00:01:21.340 ⇒ 00:01:24.539 Robert Tseng: No, no, she’s she’s on zoom, it’s like, Oh.
17 00:01:24.540 ⇒ 00:01:27.519 Uttam Kumaran: Was it like? Was it like? Was it like amicable, or like no.
18 00:01:27.520 ⇒ 00:01:28.680 Robert Tseng: Oh, no. No.
19 00:01:31.820 ⇒ 00:01:32.210 Robert Tseng: Yeah.
20 00:01:32.210 ⇒ 00:01:35.810 Uttam Kumaran: What’s her deal? What’s her deal like? She’s just a landlord.
21 00:01:36.090 ⇒ 00:01:41.923 Robert Tseng: I think this is a psychopath. But yeah, she’s I mean, her case doesn’t make any sense. So
22 00:01:43.060 ⇒ 00:01:46.259 Robert Tseng: But still, like all these formalities having to go through it like
23 00:01:46.910 ⇒ 00:01:56.999 Robert Tseng: I I even willing. I reduced the settlement to and everything. But she didn’t. She wouldn’t. She told the mediator like, yeah, she doesn’t think she would get anything.
24 00:01:57.320 ⇒ 00:02:00.169 Robert Tseng: I’m like, okay, well, we have.
25 00:02:00.170 ⇒ 00:02:04.219 Uttam Kumaran: What is the mediator? How do I get? How do I do that job? I like that. That job seems fun.
26 00:02:04.220 ⇒ 00:02:11.249 Robert Tseng: Yeah, that was interesting. It’s like a he’s a clerk. So not not. I don’t know if there, if they have to be.
27 00:02:12.610 ⇒ 00:02:24.219 Robert Tseng: what what kind of credentials they have. But yeah, he’s just there, like listening to both sides. And then like basically trying to encourage you to get a settlement out outside of like, without going in front of a judge.
28 00:02:24.590 ⇒ 00:02:29.650 Uttam Kumaran: Okay, okay, yeah. So he. So he just tries to save time. Or like, just like, yeah.
29 00:02:30.060 ⇒ 00:02:37.739 Robert Tseng: Yeah, yeah. Well, I mean, like, it’s obviously just don’t wanna bog up the the judges time with all this, all these like banner spaces and stuff.
30 00:02:38.150 ⇒ 00:02:43.030 Robert Tseng: Some of the cases are interesting like it started off with a wedding of like dude. What this is real.
31 00:02:43.790 ⇒ 00:02:45.000 Uttam Kumaran: Whoa!
32 00:02:45.000 ⇒ 00:02:46.344 Robert Tseng: Like a courthouse. Friday.
33 00:02:47.055 ⇒ 00:02:50.814 Uttam Kumaran: Oh, I thought you meant there’s like some wedding dispute.
34 00:02:51.190 ⇒ 00:02:54.719 Robert Tseng: Oh, no, no! Like somebody literally got married to open it up.
35 00:02:54.720 ⇒ 00:02:56.550 Uttam Kumaran: Okay? Oh, that’s nice.
36 00:02:56.550 ⇒ 00:02:57.100 Robert Tseng: Yeah.
37 00:02:58.220 ⇒ 00:02:59.700 Uttam Kumaran: Special day, for so.
38 00:02:59.700 ⇒ 00:03:03.110 Robert Tseng: I’m like, what am I feel like? It doesn’t feel real.
39 00:03:03.592 ⇒ 00:03:08.590 Robert Tseng: And then, yeah, a lot of it is insurance. I feel like it’s a common theme
40 00:03:09.800 ⇒ 00:03:11.360 Uttam Kumaran: Oh, yeah.
41 00:03:11.770 ⇒ 00:03:20.109 Robert Tseng: Yeah, car insurance. A lot of auto auto cases just like used car dealer like stuff like my car is broken. And I want a refund kind of thing.
42 00:03:20.490 ⇒ 00:03:21.300 Uttam Kumaran: Okay.
43 00:03:21.450 ⇒ 00:03:22.170 Uttam Kumaran: Yeah.
44 00:03:22.360 ⇒ 00:03:28.289 Robert Tseng: Interesting, trying to see what I can learn about b 2 b sales from it, but taking.
45 00:03:28.290 ⇒ 00:03:36.250 Uttam Kumaran: Yeah, I don’t know. I feel like you have to post something dude. This is so funny. You’ve had to post something about. Oh.
46 00:03:37.620 ⇒ 00:03:48.809 Robert Tseng: Yeah, I was scheduled for 8 30 am. But it’s supposed to be the 1st time slot for slot. But yeah, I’ve just been docked up the entire day, so.
47 00:03:49.600 ⇒ 00:03:50.540 Uttam Kumaran: Make sense.
48 00:03:50.780 ⇒ 00:03:56.936 Uttam Kumaran: Okay, well, I have a chill. I have a chill meeting for you. I’m I’m thinking a lot about
49 00:03:58.260 ⇒ 00:04:00.159 Uttam Kumaran: Pm automation stuff.
50 00:04:00.310 ⇒ 00:04:00.910 Robert Tseng: Great.
51 00:04:00.910 ⇒ 00:04:05.830 Robert Tseng: Yeah, I I saw your comments on the on the notion, Doc. I haven’t responded. No bad, but.
52 00:04:06.470 ⇒ 00:04:09.830 Uttam Kumaran: Yeah, so let me. I have a doc, and then let me pull up.
53 00:04:10.620 ⇒ 00:04:13.420 Uttam Kumaran: what you sent as well.
54 00:04:23.420 ⇒ 00:04:28.839 Uttam Kumaran: I was. I’m writing a Prd, but I I was starting to. And I I just habitually opened a Google Doc.
55 00:04:30.015 ⇒ 00:04:34.622 Uttam Kumaran: sorry like slap on the wrist. Don’t do that.
56 00:04:35.720 ⇒ 00:04:36.980 Robert Tseng: Go ahead and start matching.
57 00:04:37.821 ⇒ 00:04:39.749 Uttam Kumaran: I’m putting. I’m yeah, I will.
58 00:04:40.000 ⇒ 00:04:45.150 Uttam Kumaran: I need to. I should write the Prd in notion. But so
59 00:04:49.040 ⇒ 00:04:59.059 Uttam Kumaran: one, I think everything I’ve sort of heard so far is totally possible. In fact, the only reason we’re not working on it right now is I just wanna get it right on the 1st go.
60 00:04:59.625 ⇒ 00:05:01.604 Uttam Kumaran: So a couple of things.
61 00:05:03.220 ⇒ 00:05:09.199 Uttam Kumaran: yes, I think it’s gonna totally be able to review any tickets and then
62 00:05:09.330 ⇒ 00:05:32.430 Uttam Kumaran: do the automatic nudges. I think that’s totally fine. I think. We’re also gonna add this like proactive, follow up so like in slack it’s gonna identify messages that seem like they just went unanswered. Based on its context, I think to start, it will propose it’s sort of like I took inspiration from how Vixie works for?
63 00:05:32.430 ⇒ 00:05:32.880 Uttam Kumaran: Yeah. So
64 00:05:33.612 ⇒ 00:05:38.490 Uttam Kumaran: it just proposes to them like, Hey, I can go do this, and then you can say, Go do that thing.
65 00:05:38.920 ⇒ 00:05:51.180 Robert Tseng: Yeah, I don’t think there’s any risk putting that in front of a client, even if they’re wrong, like, if anything, they’ll just like thumbs down that comment or something, and that’s like fine. We can face that. But like I feel like people do that naturally, in slacks.
66 00:05:51.180 ⇒ 00:06:01.639 Uttam Kumaran: Yeah. And it’s it’s interesting. Because, like you were, you were thinking of all of what you were thinking was for client facing, like, I was thinking, just even for our own, like, for our internal non.
67 00:06:01.640 ⇒ 00:06:05.279 Robert Tseng: For internal. But yeah, but when I thought about some client paper stuff, yeah.
68 00:06:05.280 ⇒ 00:06:10.370 Uttam Kumaran: Yeah. So I think that’s totally fine. I think. Second is, I guess my.
69 00:06:10.620 ⇒ 00:06:12.790 Robert Tseng: Hesitation is.
70 00:06:13.160 ⇒ 00:06:16.245 Uttam Kumaran: I don’t know whether we want
71 00:06:19.240 ⇒ 00:06:20.310 Uttam Kumaran: I don’t know.
72 00:06:20.450 ⇒ 00:06:25.380 Uttam Kumaran: And this is where I get like, I’m kind of like little philosophical about like. Do we want
73 00:06:25.740 ⇒ 00:06:32.910 Uttam Kumaran: clients to be in? Well, I guess like it’s it’s the 2 things one is. I don’t know if it’s going to be 100 right all the time.
74 00:06:33.591 ⇒ 00:06:36.929 Uttam Kumaran: Second, like, would we rather our team just like.
75 00:06:37.330 ⇒ 00:06:39.949 Uttam Kumaran: ask the thing and then send the response
76 00:06:40.150 ⇒ 00:06:47.450 Uttam Kumaran: first? st Or or we can, we can basically have the bot watch listen
77 00:06:48.030 ⇒ 00:06:52.640 Uttam Kumaran: into in another channel. Say, hey, so and so just asked this question. I think this is the answer.
78 00:06:53.590 ⇒ 00:06:57.139 Robert Tseng: Yeah, you want to have a few minute loop every anytime a message is sent to the client.
79 00:06:58.030 ⇒ 00:06:59.160 Uttam Kumaran: Yeah.
80 00:06:59.890 ⇒ 00:07:00.580 Robert Tseng: Yeah.
81 00:07:00.800 ⇒ 00:07:01.910 Uttam Kumaran: For now
82 00:07:02.110 ⇒ 00:07:13.839 Uttam Kumaran: I don’t know like, because this is where we get we. I really want to have a distinction where we’re not a product company. I don’t. I really don’t want people to be like relying on the slack agents.
83 00:07:14.180 ⇒ 00:07:20.480 Uttam Kumaran: because then we have to sort of like, make sure that’s like, always up and working, and like 100 like reliable.
84 00:07:21.310 ⇒ 00:07:26.140 Uttam Kumaran: We can deal with some internal like if it’s not perfect, you know.
85 00:07:26.460 ⇒ 00:07:27.040 Robert Tseng: Yeah.
86 00:07:28.290 ⇒ 00:07:32.299 Uttam Kumaran: So I think a good medium ground is like the agent proactively
87 00:07:32.820 ⇒ 00:07:38.129 Uttam Kumaran: just shares like, hey? I saw this question. Here’s like what my answer would be.
88 00:07:38.360 ⇒ 00:07:46.160 Robert Tseng: Yeah. Yeah. So I I forwarded you an example of why, something that Annie has sent these. I don’t know if you saw in the product management channel.
89 00:07:46.160 ⇒ 00:07:46.850 Uttam Kumaran: Yes, I did.
90 00:07:47.700 ⇒ 00:08:07.789 Robert Tseng: Okay, yeah. So like this one, you know, this is like a random Friday afternoon head of finance on the client side just directly reaches out to Annie. She probably takes, you know, close to 30 min or so to go and dig up the answer, but it was really just like figuring out like what was already exists in our model. So something like that, it’s like, okay, yeah, maybe.
91 00:08:09.820 ⇒ 00:08:16.060 Robert Tseng: yeah. Someone asked a question. And then there’s a suggested response. And then our team can go and verify it.
92 00:08:16.400 ⇒ 00:08:19.500 Robert Tseng: or I mean.
93 00:08:21.040 ⇒ 00:08:25.349 Uttam Kumaran: I’ll I’ll I can leave. I’ll leave it there and then you can decide what you want to do per client.
94 00:08:25.350 ⇒ 00:08:31.150 Robert Tseng: Okay? Sure? Sure. Yeah, that’s that’s that’s yeah. Yeah, okay, that’s that’s fair.
95 00:08:31.580 ⇒ 00:08:37.720 Uttam Kumaran: Yeah, and then, second is, yes, request intake. So
96 00:08:37.980 ⇒ 00:08:42.870 Uttam Kumaran: being able to like quickly, go from request to like
97 00:08:43.640 ⇒ 00:08:56.488 Uttam Kumaran: structure linear tickets, either. This is like an end of day. Hey? Here’s like 10 asks that we identified. Do you want me to go create these tickets? Did you have you had a chance to play around with the the stuff in
98 00:08:57.700 ⇒ 00:08:59.520 Uttam Kumaran: in the demo site yet.
99 00:09:01.195 ⇒ 00:09:05.329 Robert Tseng: I’ve looked at the zoom. I’ve looked at the zoom thing.
100 00:09:06.910 ⇒ 00:09:15.709 Uttam Kumaran: So so functionality we have here. And this is what we’ll probably we’ll start to build off of.
101 00:09:16.126 ⇒ 00:09:19.200 Uttam Kumaran: Is, you can go into this you can go into a given meeting.
102 00:09:20.004 ⇒ 00:09:25.200 Uttam Kumaran: You have everything here. You can actually go to the bottom here and click, generate tickets.
103 00:09:25.510 ⇒ 00:09:35.660 Uttam Kumaran: And so what happens is and it’ll take a second. We’re sending the transcript to AI. It’s it’s basically we have a prompt that like sort of pulls out like
104 00:09:36.180 ⇒ 00:09:40.050 Uttam Kumaran: someone so should do this on this date. It pulls out all those details.
105 00:09:40.502 ⇒ 00:09:45.380 Uttam Kumaran: This meeting is a bit long. So let’s see how long it takes. But it’ll it basically will give you like.
106 00:09:45.500 ⇒ 00:09:52.200 Uttam Kumaran: this is a ticket. This is ticket. You can edit it and then quickly, just press. I want this. I want this. I want this automatically goes and creates it.
107 00:09:52.330 ⇒ 00:09:58.620 Uttam Kumaran: For for example, audit code, base cleanup for inventory models.
108 00:09:58.780 ⇒ 00:10:03.830 Uttam Kumaran: Okay, look, perform code based cleanup. Actually, I want to change this. I want to assign this to
109 00:10:04.535 ⇒ 00:10:05.110 Uttam Kumaran: Demo.
110 00:10:05.110 ⇒ 00:10:06.640 Robert Tseng: This directly goes to the layer.
111 00:10:06.640 ⇒ 00:10:07.370 Uttam Kumaran: Yes.
112 00:10:08.010 ⇒ 00:10:09.419 Robert Tseng: Damn. Okay.
113 00:10:09.420 ⇒ 00:10:15.130 Robert Tseng: Yeah. Dude, there’s no one’s fucking washing any of the looms. I’m fucking, trying to tell everyone this is serious stuff.
114 00:10:16.100 ⇒ 00:10:16.510 Uttam Kumaran: That’s it.
115 00:10:17.780 ⇒ 00:10:29.619 Uttam Kumaran: I’m gonna have to call everyone and literally walk one by one. But yes, you could do this today. So you can change this. You can go blah blah! You could hit, save, and you can hit. Check.
116 00:10:30.060 ⇒ 00:10:32.730 Uttam Kumaran: It creates it, and you can click, view and linear.
117 00:10:33.090 ⇒ 00:10:34.739 Uttam Kumaran: And it’s here in linear. Now.
118 00:10:36.370 ⇒ 00:10:43.140 Robert Tseng: Okay. And it’s already I know. I mean, you can. I’m sure you could mention this stuff. You could go in system to the right client, or find the right project.
119 00:10:43.140 ⇒ 00:10:48.050 Uttam Kumaran: Yeah. So so so we’ll add, we’ll add, like, functionality, like.
120 00:10:48.280 ⇒ 00:10:55.239 Uttam Kumaran: yeah, like, we’ll make all this stuff better. But what what actually this proves is that we can interact with linear
121 00:10:55.700 ⇒ 00:10:57.930 Uttam Kumaran: from any AI thing.
122 00:10:58.070 ⇒ 00:11:05.740 Uttam Kumaran: So this is from slack. This is from here. So like what I had Mustafa do is this is the first, st like public facing. Use case of some back.
123 00:11:05.740 ⇒ 00:11:07.519 Robert Tseng: How long has this been? Live?
124 00:11:07.950 ⇒ 00:11:09.499 Uttam Kumaran: This has been, live for 2 weeks.
125 00:11:09.500 ⇒ 00:11:11.069 Robert Tseng: Oh, yeah. Okay.
126 00:11:11.689 ⇒ 00:11:18.960 Uttam Kumaran: I just know what the fuck I could do here to try to show people that this is literally possible. I’ve been. I use this every day.
127 00:11:19.383 ⇒ 00:11:30.359 Uttam Kumaran: Yeah. So please try to use this. What you will feel is you will feel the pain of like, oh, I have to now go here to do it, I but I need the feedback.
128 00:11:31.640 ⇒ 00:11:32.300 Robert Tseng: Yes.
129 00:11:32.300 ⇒ 00:11:36.339 Uttam Kumaran: So try to use this for any meeting you’re doing. Open it here like I.
130 00:11:36.340 ⇒ 00:11:43.439 Robert Tseng: Yeah, but it requires us to have the transcript. I can’t do it. I don’t have to do it on the phone, and it requires you to really talk through it like.
131 00:11:43.650 ⇒ 00:11:48.100 Uttam Kumaran: No, but even if even if you have a little bit of an inkling, it’ll pull it out.
132 00:11:48.570 ⇒ 00:11:54.099 Uttam Kumaran: But, like you, you should, if you’re in your project management calls. Try to talk through like, Hey, what is?
133 00:11:54.490 ⇒ 00:11:55.669 Uttam Kumaran: Who is doing it?
134 00:11:55.900 ⇒ 00:12:07.140 Uttam Kumaran: And this will work for you. And and the other thing I’m going to start to enable is, let’s say you have a meeting that doesn’t happen in here. I’m going to enable the ability to add the transcript or add the video.
135 00:12:07.310 ⇒ 00:12:12.389 Uttam Kumaran: So like, when we do sales calls and stuff, I want to be able to upload our our own transcripts here.
136 00:12:12.876 ⇒ 00:12:19.109 Uttam Kumaran: And then also these are overall. This is just a little bit nicer like you can edit the the meeting names.
137 00:12:19.567 ⇒ 00:12:24.090 Uttam Kumaran: You can see the transcripts. You can chat directly with a given meeting.
138 00:12:24.634 ⇒ 00:12:38.170 Uttam Kumaran: The other thing I’m gonna enable is the ability to chat with multiple meetings. So let’s say, I want to take the last 10 need in meetings and chat over them. We’re gonna add the ability to like click, click, click, chat, or like filter.
139 00:12:38.170 ⇒ 00:12:42.899 Robert Tseng: That would work for like, hey, I want to summarize this aspirants of work that we’ve done. So I can like.
140 00:12:42.900 ⇒ 00:12:43.350 Uttam Kumaran: Exactly.
141 00:12:43.350 ⇒ 00:12:49.799 Robert Tseng: Definitely into some executive summary to share with leadership and be like. These are the wins that we had pretty much that
142 00:12:50.070 ⇒ 00:12:50.660 Robert Tseng: react.
143 00:12:50.660 ⇒ 00:13:05.240 Uttam Kumaran: Exactly. And then the other way, this is gonna also go is like for our sales meetings. We’re gonna have a different set of like quick things to do like quickly generate, follow up quickly, generate, sow you can select multiple meetings with the same lead, and then generate.
144 00:13:05.240 ⇒ 00:13:10.450 Robert Tseng: Yeah, the email and sow would be big rather than, yeah. I mean, right now, we’re just go. I go into.
145 00:13:10.450 ⇒ 00:13:21.959 Uttam Kumaran: And then, ideally, ideally, the sales coordinator uses this. So I’m I feel like this is, we’re mainly building stuff for that person to then use. And then like
146 00:13:22.350 ⇒ 00:13:26.940 Uttam Kumaran: this, plus them gets them to like almost close to like what we can approve. Basically
147 00:13:27.497 ⇒ 00:13:38.562 Uttam Kumaran: so those are those are the details here. So so one is like, yes, anything related to tickets creating linear. We’re gonna do. The other thing is I also added a couple of things around.
148 00:13:41.100 ⇒ 00:13:45.720 Uttam Kumaran: like ticket prioritization. So being able to like.
149 00:13:45.880 ⇒ 00:13:52.199 Uttam Kumaran: look at what the ticket contents and automatically say, is this a high priority? Well, how many points it is.
150 00:13:52.460 ⇒ 00:13:52.850 Uttam Kumaran: Yeah.
151 00:13:52.850 ⇒ 00:13:59.719 Uttam Kumaran: Takes the 1st stab at it, the second thing, and I don’t let me let me see. I don’t think I had this here?
152 00:14:09.600 ⇒ 00:14:10.944 Uttam Kumaran: Oh, yeah, I had
153 00:14:12.130 ⇒ 00:14:19.059 Uttam Kumaran: So Friday weekly summaries for the client channels. So like what happened that week
154 00:14:19.664 ⇒ 00:14:23.879 Uttam Kumaran: start based on linear. But we already have also have the slack going
155 00:14:26.230 ⇒ 00:14:35.719 Uttam Kumaran: and we have the Zoom Meeting. So in the week we can summarize, that second is like for you, I want to basically build like a grooming agent. So.
156 00:14:35.720 ⇒ 00:14:36.280 Robert Tseng: Yeah.
157 00:14:36.572 ⇒ 00:14:41.540 Uttam Kumaran: You’re gonna be able to do something like this in linear where you’re you’re sitting in a
158 00:14:41.780 ⇒ 00:14:43.609 Uttam Kumaran: are you? Seeing this screen.
159 00:14:43.950 ⇒ 00:14:46.990 Robert Tseng: Yeah, yeah, I am, or I’m just seeing the same notion.
160 00:14:47.170 ⇒ 00:14:54.792 Uttam Kumaran: Okay, so basically, like, here’s a ticket, for example, like ticket grooming automation. One thing that I would do here is, I have a
161 00:14:55.250 ⇒ 00:15:02.730 Uttam Kumaran: I have a like ticket generating chat, gpt, prompt. So I would go in here and typically my processes go in here
162 00:15:02.830 ⇒ 00:15:06.979 Uttam Kumaran: like, and I would say, okay, let me go back to this.
163 00:15:07.805 ⇒ 00:15:16.130 Uttam Kumaran: I would say, like, Create me a ticket around this for my AI team.
164 00:15:16.380 ⇒ 00:15:19.530 Uttam Kumaran: It would then generate it.
165 00:15:19.950 ⇒ 00:15:25.450 Uttam Kumaran: Implement grooming as a judge. It’s it’s basically going to generate this ticket. With all this information.
166 00:15:27.120 ⇒ 00:15:37.659 Uttam Kumaran: and I would go copy paste. I actually want this to be like you’re in here in the meeting. The Pm. Is focused on quickly jotting down notes, and I want you to go at Brainforge bot
167 00:15:37.970 ⇒ 00:15:39.859 Uttam Kumaran: like, clean this up.
168 00:15:40.950 ⇒ 00:15:43.020 Robert Tseng: Yes, that would be, yeah.
169 00:15:43.020 ⇒ 00:15:47.239 Uttam Kumaran: I mean it. It does this, and then puts it here.
170 00:15:47.460 ⇒ 00:15:50.170 Robert Tseng: Yeah, that would be. That would be great.
171 00:15:50.490 ⇒ 00:15:56.760 Uttam Kumaran: And then, and then what you’ll notice is like, Oh, I missed something. You can add it, and then like just iterate here. And it all happens here.
172 00:15:56.930 ⇒ 00:16:05.120 Robert Tseng: So I guess like, so that covers, you know, kind of works that we scope out while we’re on calls, I would say, like, I don’t know how it is for other times. But
173 00:16:06.470 ⇒ 00:16:16.660 Robert Tseng: yeah, some of our clients like we do. We do Async work most of the time, and it’s really just like slack message, or like, I mean, you didn’t have like a form that they have to fill out. But even then we’re not good enough.
174 00:16:16.810 ⇒ 00:16:21.379 Robert Tseng: So I’m trying to like, figure out like what we can do to like get more context?
175 00:16:21.560 ⇒ 00:16:27.009 Robert Tseng: I mean, just asking someone, can you fill this out more like kind of gets you like going in that direction.
176 00:16:27.010 ⇒ 00:16:27.520 Uttam Kumaran: Well, so.
177 00:16:27.520 ⇒ 00:16:28.050 Robert Tseng: Just kidding.
178 00:16:28.050 ⇒ 00:16:28.649 Robert Tseng: Let’s let’s.
179 00:16:28.650 ⇒ 00:16:29.060 Uttam Kumaran: But
180 00:16:29.060 ⇒ 00:16:34.830 Uttam Kumaran: let’s see an example like if I go into client Eden, is there a good example that we can poke at.
181 00:16:35.020 ⇒ 00:16:38.090 Robert Tseng: Oh, I can show you some stuff if I share my screen.
182 00:16:38.540 ⇒ 00:16:39.970 Uttam Kumaran: Yeah, yeah, please.
183 00:16:39.970 ⇒ 00:16:45.910 Robert Tseng: Yeah, so there we go.
184 00:16:46.410 ⇒ 00:16:51.201 Robert Tseng: So yeah, here’s this data board thing. I’m specifically doing this now. But
185 00:16:52.660 ⇒ 00:17:06.060 Robert Tseng: yeah, these are like random things that come in. I respond to most of them right now, like this is like even Async, like sending me tickets pretty much. I take these, and I, I, either, I basically.
186 00:17:06.069 ⇒ 00:17:07.329 Uttam Kumaran: This is the triage.
187 00:17:07.569 ⇒ 00:17:11.249 Robert Tseng: Yeah, I triage whether or not I even make a linear ticket out of it. But
188 00:17:14.559 ⇒ 00:17:15.999 Robert Tseng: let me just pick this one.
189 00:17:20.449 ⇒ 00:17:27.589 Robert Tseng: Okay, that was on the slack message. I want to get someone who actually filled out a form. I mean someone here and didn’t fill any form so like what? The heck?
190 00:17:27.689 ⇒ 00:17:29.969 Robert Tseng: 52.
191 00:17:30.249 ⇒ 00:17:44.729 Robert Tseng: Okay? Great. Yeah. So like, yeah, they fill this type form thing that like, they set up, they kind of described it. And it’s like, Okay, maybe there’s enough for me to go click into and get from the contracts. And then I went in and I followed up with some questions.
192 00:17:44.879 ⇒ 00:17:50.239 Robert Tseng: Apt, yeah. And that’s kind of where we’re at right now, and and trying to
193 00:17:50.599 ⇒ 00:17:53.159 Robert Tseng: figure out what actually needs to be done for this.
194 00:17:53.370 ⇒ 00:18:01.140 Uttam Kumaran: So like ideally like, would the what you would want to hand off, or what you want to get augmented is like the follow up questions
195 00:18:01.470 ⇒ 00:18:04.649 Uttam Kumaran: or basically like judging whether this is ready to be ticketed.
196 00:18:05.850 ⇒ 00:18:13.430 Robert Tseng: Yeah. But right now I’m the only one that can really do that like. During the week that I was out like Dave, a lot of came in here.
197 00:18:13.730 ⇒ 00:18:23.149 Robert Tseng: and I mean here I get it. He’s just he’ll just take on anything, so he’ll just pick it up and then try to solve it. And I would say, you know, like one
198 00:18:35.130 ⇒ 00:18:37.700 Robert Tseng: like, what other content can we get?
199 00:18:38.040 ⇒ 00:18:43.940 Robert Tseng: That’s why we’re so. That’s why I feel like I’m the only one I could.
200 00:18:44.290 ⇒ 00:18:44.960 Uttam Kumaran: Okay.
201 00:18:46.560 ⇒ 00:18:47.350 Uttam Kumaran: Okay.
202 00:18:49.110 ⇒ 00:19:08.420 Robert Tseng: Yeah. So maybe I do need to stay in the loop here and like it just is like a routine where I’m looking at this every other day, or whatever and I do have an sla with them. It’s like, yeah, within within 24 h anything that gets thrown the form like, at least get a response, and then I’ll give you an updated so like, I think.
203 00:19:08.420 ⇒ 00:19:09.909 Uttam Kumaran: This is sort of getting towards like.
204 00:19:09.910 ⇒ 00:19:10.290 Robert Tseng: Request.
205 00:19:10.290 ⇒ 00:19:17.310 Uttam Kumaran: Handling ad hoc, or like, basically, I think this is towards handling the ad hoc
206 00:19:17.470 ⇒ 00:19:18.920 Uttam Kumaran: sort of work like non plan.
207 00:19:18.920 ⇒ 00:19:19.699 Robert Tseng: Where she’s like 10.
208 00:19:19.700 ⇒ 00:19:20.540 Uttam Kumaran: Sprint. Yeah.
209 00:19:20.540 ⇒ 00:19:26.499 Robert Tseng: Yeah, thinking on Async stuff that like doesn’t come out in our regular like meetings. Right? So.
210 00:19:27.040 ⇒ 00:19:27.949 Uttam Kumaran: Okay. Okay.
211 00:19:27.950 ⇒ 00:19:30.439 Robert Tseng: Sure not every client will have a have a list like this, but.
212 00:19:30.440 ⇒ 00:19:38.460 Uttam Kumaran: I don’t think every client but but urban stems, I think there’s gonna be 20 to 40% ad hoc. So for the larger clients. It’s always gonna be like this. So I think
213 00:19:38.460 ⇒ 00:19:40.810 Uttam Kumaran: something around help thing to triage
214 00:19:42.920 ⇒ 00:19:45.179 Uttam Kumaran: it would be would be helpful.
215 00:19:48.140 ⇒ 00:19:51.436 Uttam Kumaran: I think the other thing we’re we’re starting to work on is these?
216 00:19:52.010 ⇒ 00:19:53.578 Uttam Kumaran: Let me show you
217 00:19:54.220 ⇒ 00:19:54.900 Robert Tseng: Yep.
218 00:19:59.220 ⇒ 00:20:04.178 Uttam Kumaran: we’re starting to work on these like summary. I have to. I have to go review it today. But
219 00:20:07.220 ⇒ 00:20:09.480 Uttam Kumaran: we’re starting to work on these like summaries.
220 00:20:09.970 ⇒ 00:20:15.959 Uttam Kumaran: So here’s basically, here’s what what happened the last 24 h. Here’s missed items
221 00:20:16.260 ⇒ 00:20:23.119 Uttam Kumaran: like, so I’m working with Mustafa on this. Basically we can, we can do it like, if you want every day, or you want every week.
222 00:20:23.260 ⇒ 00:20:40.530 Uttam Kumaran: we can basically take all the slack and all the zoom. And basically say, here’s a summary. So that’s what what we’re gonna get to we can do this every day and post it to a channel that not everybody sees like we can just post it to the Pm. Channel like a summary of everything that happened in that for that
223 00:20:40.700 ⇒ 00:20:42.349 Uttam Kumaran: in that client that day.
224 00:20:43.495 ⇒ 00:20:52.070 Uttam Kumaran: The other thing is this will then go to saying like, I just want to focus on the missed items like what what seems like they got. Seems like it got dropped.
225 00:20:52.740 ⇒ 00:21:00.340 Uttam Kumaran: The the where that next goes is we’re gonna build the process where it’s like this thing got dropped. Do you want me to go follow up
226 00:21:00.480 ⇒ 00:21:03.990 Uttam Kumaran: so like. That’s the sort of logical mixed.
227 00:21:03.990 ⇒ 00:21:09.139 Robert Tseng: I need that for myself, honestly, because now there are so many different escalation paths that like, I
228 00:21:09.280 ⇒ 00:21:10.869 Robert Tseng: well, yeah, I think when I.
229 00:21:10.870 ⇒ 00:21:22.369 Uttam Kumaran: Well, but I want you. You should focus on the things that are on fire, right, which is like tickets that are in cycle that aren’t groomed stuff that’s past due date, and items that we’ve talked about that like.
230 00:21:22.490 ⇒ 00:21:31.539 Uttam Kumaran: it’s not a clear that that there was a resolution that allows you to just to be like, Okay, cool. Because even if you’re like, well, is it 100 accurate?
231 00:21:31.920 ⇒ 00:21:40.070 Uttam Kumaran: Oh, it’s already the process is so inaccurate, right? Like we are making like we’re we’re using our memory to then like, have some recall to do that.
232 00:21:40.200 ⇒ 00:21:45.619 Uttam Kumaran: This one allows you to just rely and say, hey? Whatever the thing says, I’m gonna go through and just make sure those are checked off.
233 00:21:46.064 ⇒ 00:21:49.729 Uttam Kumaran: And so I think this is where we we sort of want this to go.
234 00:21:50.100 ⇒ 00:21:51.210 Uttam Kumaran: So yeah, I’m gonna.
235 00:21:51.210 ⇒ 00:21:51.620 Robert Tseng: Yeah, yeah.
236 00:21:51.620 ⇒ 00:22:21.240 Uttam Kumaran: First, st like we’re gonna start sending this to, I think just the project channel with like, here’s the summary for each client or whatever. And then we can decide like how we want to, how we want to leverage this. The other. The other thing is like this is only getting smarter because we’re starting to route data from Zoom, from slack, from linear we’ll start routing the like Prs that get made like any source of information like notion, so it’ll start to get better and better, meaning, like
237 00:22:21.550 ⇒ 00:22:27.860 Uttam Kumaran: what you would what you would gain, and probably the flexibility of just like opening strategy between doing it you will lose, and the fact that
238 00:22:28.100 ⇒ 00:22:33.989 Uttam Kumaran: this, the the bot that answers this will actually be the Eden Bot that gives the summary.
239 00:22:33.990 ⇒ 00:22:34.460 Robert Tseng: Yeah.
240 00:22:34.460 ⇒ 00:22:41.619 Uttam Kumaran: Because it will have understanding of what all this shit is, and then you’re asking it to provide the summary. It’ll be way way. Better.
241 00:22:42.410 ⇒ 00:22:42.930 Uttam Kumaran: Yeah.
242 00:22:43.620 ⇒ 00:22:47.379 Uttam Kumaran: So yeah, I think that’s that. And then,
243 00:22:56.990 ⇒ 00:23:02.509 Uttam Kumaran: yeah, I mean, I really wanna lock down this, the the linear problem. First.st
244 00:23:02.510 ⇒ 00:23:03.110 Robert Tseng: Yeah.
245 00:23:03.695 ⇒ 00:23:11.949 Uttam Kumaran: And then this like second pm, we’re thinking about like, I’m also kind of thinking of that person more as a Pm. Coordinator. To be honest, I guess I’m deciding.
246 00:23:11.950 ⇒ 00:23:12.510 Robert Tseng: No, I agree.
247 00:23:12.510 ⇒ 00:23:17.729 Uttam Kumaran: But I think that’s probably what the backup plan is, and that that person is gonna Shadow.
248 00:23:18.170 ⇒ 00:23:21.510 Uttam Kumaran: The 3 of us ideally use these tools.
249 00:23:22.056 ⇒ 00:23:26.670 Uttam Kumaran: and be a good stakeholder for the AI team to use these tools. And then I just like.
250 00:23:26.910 ⇒ 00:23:35.380 Uttam Kumaran: But honestly, I said, like that person should do some of this stuff before we automate it like they should send like. Here’s the things that probably got missed. Here’s tickets. We need to groom things like that.
251 00:23:35.380 ⇒ 00:23:35.990 Robert Tseng: Yeah.
252 00:23:36.390 ⇒ 00:23:36.950 Uttam Kumaran: Yeah.
253 00:23:39.940 ⇒ 00:23:43.477 Uttam Kumaran: And then we can do this very similar thing on the sales side.
254 00:23:44.370 ⇒ 00:23:49.381 Uttam Kumaran: yeah. The other ideas that I had like that I was brainstorming weren’t like.
255 00:23:51.396 ⇒ 00:23:53.423 Uttam Kumaran: they, they were in
256 00:23:57.940 ⇒ 00:24:02.559 Uttam Kumaran: It wasn’t like too important, I think. The only other thing that I I was then
257 00:24:02.860 ⇒ 00:24:06.539 Uttam Kumaran: like something like onboarding checklists, or like
258 00:24:06.660 ⇒ 00:24:10.069 Uttam Kumaran: things like that, could be helpful. But I think if we nail this like
259 00:24:10.290 ⇒ 00:24:17.430 Uttam Kumaran: talking about a problem to it, getting into linear and ready to be broomed, would solve a lot.
260 00:24:18.180 ⇒ 00:24:18.760 Robert Tseng: Yeah.
261 00:24:20.640 ⇒ 00:24:30.549 Robert Tseng: So I don’t know, I guess. Just like to position it as well. So thanks for going through that. So you know, I think even I I sent you just like a screen of consciousness earlier. I was trying to text you as much as I could before to pick me up the phone.
262 00:24:30.840 ⇒ 00:24:31.510 Uttam Kumaran: Yeah.
263 00:24:32.180 ⇒ 00:24:32.655 Robert Tseng: But
264 00:24:33.240 ⇒ 00:24:40.619 Robert Tseng: but yeah, I think, like, yeah. So I I mean, I kind of view it as like, okay, maybe we were focused more like, mostly on go to market. AI, because, like.
265 00:24:40.760 ⇒ 00:24:54.820 Robert Tseng: yeah, that’s what’s gonna really help us, you know, bring a new business. But like the way I view, our aipm work is like, Oh, yeah, it’s obviously reduce my time, as you know. Yeah, I think I kind of just abstracted it to.
266 00:24:54.940 ⇒ 00:25:12.799 Robert Tseng: Hey, you know if we can reduce my time to time, you know. By, you know, even 20% more from what it already is. That’s 20% more margin on contracts and then across all of our clients like. Then I then I could put a number on like, what’s the value of getting this right right? And it’s.
267 00:25:12.800 ⇒ 00:25:13.120 Uttam Kumaran: Yeah.
268 00:25:13.120 ⇒ 00:25:18.970 Robert Tseng: Yeah, it’s actually sizable. It’s like, it’s the equivalent of bringing in 2 additional. So
269 00:25:19.725 ⇒ 00:25:23.560 Robert Tseng: yeah, I think there’s definitely like a revenue base for this. And then.
270 00:25:23.760 ⇒ 00:25:32.740 Robert Tseng: yeah, I know you don’t want to sell this as a product. But like, I’m kind of thinking it might strengthen like some of our like kind of position when we’re talking to other agency partners as well
271 00:25:33.244 ⇒ 00:25:42.319 Robert Tseng: or like, even when we’re talking to data leaders who already have data teams, but their data, their data operations suck, you know.
272 00:25:42.710 ⇒ 00:25:45.151 Robert Tseng: So I just think about
273 00:25:46.320 ⇒ 00:25:51.420 Robert Tseng: that forgot with that. We talked to some Vc.
274 00:25:51.420 ⇒ 00:25:57.409 Uttam Kumaran: I’m open to discussing it. And, in fact, like the productization strategy, I think this is probably
275 00:25:57.530 ⇒ 00:26:02.530 Uttam Kumaran: if you were to go check out one thing. It’s I wrote this thing on like this like revenue.
276 00:26:04.330 ⇒ 00:26:10.440 Uttam Kumaran: Yeah, like, I’ll I’ll tag this. I mean, this is sort of like a big read but like.
277 00:26:11.180 ⇒ 00:26:13.055 Uttam Kumaran: take a look at this.
278 00:26:13.430 ⇒ 00:26:13.990 Robert Tseng: Yeah.
279 00:26:14.340 ⇒ 00:26:15.470 Uttam Kumaran: Or here I don’t
280 00:26:18.110 ⇒ 00:26:29.420 Uttam Kumaran: like. I do think that probably there’s some long tail opportunity for us to like leave and leave an agent with them that does some work. I just think we have to be really clear on, like
281 00:26:29.760 ⇒ 00:26:32.560 Uttam Kumaran: what it’s doing and like how we price it.
282 00:26:32.880 ⇒ 00:26:34.940 Uttam Kumaran: There’s something there, though, like
283 00:26:35.510 ⇒ 00:26:40.400 Uttam Kumaran: I was talking to Scott a lot about like, Hey, what if we deployed like a really hyper.
284 00:26:40.620 ⇒ 00:26:49.450 Uttam Kumaran: personalized, super strong like revenue acceleration analyst that helps you like understand different things. And then
285 00:26:49.580 ⇒ 00:26:56.479 Uttam Kumaran: we get a cut of like what it finds or like. There’s some version of that you know.
286 00:26:57.450 ⇒ 00:27:01.610 Robert Tseng: Yeah, I mean, the the technical ability is not the limiting factor for data.
287 00:27:01.610 ⇒ 00:27:02.090 Uttam Kumaran: Yeah.
288 00:27:02.090 ⇒ 00:27:18.991 Robert Tseng: Data is what I realize. Like, I think a lot of these data platform product, AI tools, or whatever are they focused on like trying to make feel nice visualizations, or do the kind of get the technical capabilities? Why don’t think any of them do solve the communication problems?
289 00:27:19.330 ⇒ 00:27:19.650 Uttam Kumaran: Yeah.
290 00:27:19.650 ⇒ 00:27:22.909 Robert Tseng: And that’s that’s the most important, right? I think that’s why.
291 00:27:23.390 ⇒ 00:27:31.240 Robert Tseng: you know, I just think about any data situation we’ve walked into when we’ve displaced like the existing people. It’s not necessarily they were technically.
292 00:27:31.240 ⇒ 00:27:33.090 Uttam Kumaran: That’s all. Communication. Mostly.
293 00:27:33.090 ⇒ 00:27:35.639 Robert Tseng: Mostly yes, mostly communication. So.
294 00:27:36.280 ⇒ 00:27:45.490 Uttam Kumaran: That’s why I want. I want our agents to assist in enabling us to do more of that, like we do a lot of work that does not get shared.
295 00:27:46.200 ⇒ 00:27:55.250 Uttam Kumaran: that we don’t get credit for. This is what I’m like I’m trying to harp on is like we need to get credit for that shit. And it needs to come in the form of weekly updates
296 00:27:55.520 ⇒ 00:28:01.339 Uttam Kumaran: like it needs to come in the form of great tickets that we can share like we just need to be like
297 00:28:01.460 ⇒ 00:28:06.749 Uttam Kumaran: poised to share a lot more that will buy us more than like
298 00:28:06.980 ⇒ 00:28:09.880 Uttam Kumaran: getting 5 more tickets done like, I know that.
299 00:28:09.880 ⇒ 00:28:10.280 Robert Tseng: Totally.
300 00:28:10.280 ⇒ 00:28:11.329 Uttam Kumaran: I know that.
301 00:28:11.720 ⇒ 00:28:12.370 Robert Tseng: Yeah, yeah.
302 00:28:12.370 ⇒ 00:28:12.950 Uttam Kumaran: No.
303 00:28:15.430 ⇒ 00:28:23.630 Uttam Kumaran: So that’s what I want to really like. I don’t think we’re too far from all the stuff I described. By the way, I think, like probably 2 weeks, we can have that already.
304 00:28:25.860 ⇒ 00:28:28.169 Uttam Kumaran: So I’m just trying to like cruise towards that.
305 00:28:30.360 ⇒ 00:28:34.689 Uttam Kumaran: But I think my my number one ask would be, try some of the AI stuff if you have feedback.
306 00:28:35.190 ⇒ 00:28:37.010 Uttam Kumaran: Yeah, yeah, if you try.
307 00:28:37.010 ⇒ 00:28:53.610 Uttam Kumaran: If the feedback comes from you or from some, because I’m the only one giving feedback. If it comes from you guys, from anyone else in the team, they’ll work on it like immediately, like I think they’re all. All 3 of them are like. In fact, they only want to work on this stuff, and I’m like work on the client stuff. First, st please.
308 00:28:53.910 ⇒ 00:29:01.029 Uttam Kumaran: I I, even though this is more fun. So if you guys give feedback, it’ll cause them to really like, be motivated.
309 00:29:03.940 ⇒ 00:29:28.700 Uttam Kumaran: And and we’re gonna use the real life. Use cases like the stuff that you sent from Annie the triage stuff for Monday. That’s gonna be part of how we score all of this. So like like I want to look at like, can we? And could we have answered Andy’s question with the bot and like, how close would the bot have gone today versus like in one week, 2 weeks, 3 weeks. So it’s like, actually, we’re gonna start scoring like our ability to like answer those tougher questions.
310 00:29:28.870 ⇒ 00:29:33.929 Uttam Kumaran: It’s like similar to self driving where you just have like levels, like, we’re just trying to like work up the levels. You know.
311 00:29:34.390 ⇒ 00:29:34.960 Robert Tseng: Yeah.
312 00:29:35.220 ⇒ 00:29:35.820 Uttam Kumaran: Yeah.
313 00:29:36.350 ⇒ 00:29:37.040 Robert Tseng: Okay.
314 00:29:37.730 ⇒ 00:29:55.399 Robert Tseng: Yeah. So I mean, I think I’m gonna be using that, I’m gonna use it. I’m also gonna time box my time. I’m limiting myself 5 HA week only on even see if we if things catch on fire or not. And I’m just gonna rely on on the on the.
315 00:29:55.400 ⇒ 00:29:57.930 Uttam Kumaran: Try to try to note down if you can
316 00:29:58.040 ⇒ 00:30:06.870 Uttam Kumaran: either try to note down, or even better yet, if you’re working on it, and you don’t mind. You can even just record like an hour long. Loom.
317 00:30:07.660 ⇒ 00:30:08.410 Robert Tseng: Oh!
318 00:30:08.410 ⇒ 00:30:13.660 Uttam Kumaran: Because what I’ll do is I’ll take that, and I’ll start to diagnose like where the time is going
319 00:30:13.780 ⇒ 00:30:15.559 Uttam Kumaran: in terms of like the actions.
320 00:30:16.236 ⇒ 00:30:26.359 Uttam Kumaran: Even if you just do that for one week or a few hours. That would be helpful. And then I I’m gonna send our team, will, they’ll watch that and like, look to for examples of what to automate.
321 00:30:27.390 ⇒ 00:30:30.820 Robert Tseng: Okay, no, that’s that’s a good, that’s a good one. I will. I will do that.
322 00:30:31.340 ⇒ 00:30:43.839 Uttam Kumaran: I’m i i spazz too much like I do like a hundred things. So I’ve never like sitting down and doing just the Pm. Stuff, so it’s hard for me to like. But I have a good. The reason why we’ve gotten this far, as I have a good sense of like what
323 00:30:44.080 ⇒ 00:30:52.840 Uttam Kumaran: I’m limited by, like I get on a meeting with pool parts immediately. I need the transcript to make the tickets within 5 min, otherwise it’s gone
324 00:30:53.000 ⇒ 00:31:05.499 Uttam Kumaran: so like as soon as I get it, I create the ticket. I put it there, I and it got assigned, done. And now I’m like cool, and then the what would be even better yet is, I can send the I get the follow up. I’d say, Hey, great meeting! We talked about these items.
325 00:31:05.960 ⇒ 00:31:06.320 Uttam Kumaran: Yeah.
326 00:31:06.320 ⇒ 00:31:16.059 Uttam Kumaran: we’ll follow up on Friday when they’re done. Now, I’ve what I probably would have either done like 3 days later or missed. We’ve done like right after the meeting right within the 30 min.
327 00:31:16.744 ⇒ 00:31:24.250 Uttam Kumaran: Better yet is if the if the AI sent me the follow up to send, and it went ahead and created the tickets and said, like, here’s the tickets I created.
328 00:31:24.440 ⇒ 00:31:29.539 Uttam Kumaran: Go ahead, and just like, let me know if this is fine. That’s like even fucking better. You know.
329 00:31:29.980 ⇒ 00:31:30.730 Robert Tseng: Yes.
330 00:31:31.930 ⇒ 00:31:36.523 Robert Tseng: Oh, best cool. That sounds good.
331 00:31:38.130 ⇒ 00:31:48.010 Robert Tseng: yeah. I’m gonna go over to back to the courthouse when I get this done. And then, yeah, I gotta. I gotta pick up some slack on the spark plug and do anything like I I wanna
332 00:31:48.600 ⇒ 00:31:49.780 Robert Tseng: good question. There.
333 00:31:50.140 ⇒ 00:31:50.720 Uttam Kumaran: Okay.
334 00:31:51.620 ⇒ 00:32:03.719 Robert Tseng: Yeah, read me. I’m going, and I’ll fight in 2 days, so that’ll be good. I think that’ll give me the opportunity to tee up next steps, calls, and then spark. Plug is a bit slower. So like I’m I’m still kind of assessing like
335 00:32:04.160 ⇒ 00:32:10.080 Robert Tseng: I’m just trying to hit them from different angles to try to see what what app type they have. So.
336 00:32:11.100 ⇒ 00:32:15.660 Uttam Kumaran: I think. Another thing. Do you know anyone in like higher? Do we have any connections like higher ed
337 00:32:16.140 ⇒ 00:32:18.919 Uttam Kumaran: like colleges or, okay.
338 00:32:18.920 ⇒ 00:32:22.903 Robert Tseng: I mean, Renee. I’ve worked with universities they’re a little green folks.
339 00:32:23.210 ⇒ 00:32:23.720 Uttam Kumaran: Okay.
340 00:32:24.180 ⇒ 00:32:28.370 Robert Tseng: Yeah, if you work for University of Virginia. We have a couple of others.
341 00:32:28.770 ⇒ 00:32:29.140 Uttam Kumaran: Okay.
342 00:32:29.140 ⇒ 00:32:35.639 Robert Tseng: Off top my head. So yeah, she’s well connected with higher Ed folks and and health and healthcare.
343 00:32:36.300 ⇒ 00:32:40.070 Uttam Kumaran: Okay? And then I think the next thing is like, do we want to plan
344 00:32:40.290 ⇒ 00:32:50.239 Uttam Kumaran: another like specific, hey, reach? I think now that we have do the so. The materials are all there, like on files dot Brainforge, that AI we could start sending those.
345 00:32:50.400 ⇒ 00:32:55.049 Uttam Kumaran: I think we should. Maybe we should attach those to the A reach thing, or
346 00:32:55.270 ⇒ 00:32:58.440 Uttam Kumaran: but like, maybe we could plan another campaign around something.
347 00:32:59.440 ⇒ 00:33:02.949 Robert Tseng: Yeah, yeah, I’m football.
348 00:33:06.260 ⇒ 00:33:13.970 Robert Tseng: Yeah, that one I didn’t get. I didn’t get to yet. So I want I wanted to refresh the whole stuff, and they get radar is pretty much on automatic right now, like.
349 00:33:14.680 ⇒ 00:33:16.030 Robert Tseng: I don’t know how you’re
350 00:33:16.340 ⇒ 00:33:20.260 Robert Tseng: I don’t know. How have you taken? Have you taken calls on that front. Yet.
351 00:33:20.260 ⇒ 00:33:22.989 Uttam Kumaran: Just been sending proposals, but I haven’t gotten anything.
352 00:33:23.170 ⇒ 00:33:31.440 Robert Tseng: Oh, man, okay, yeah. Well, I think the volume was slightly dialed. Dial the back a bit, and then
353 00:33:32.360 ⇒ 00:33:36.870 Uttam Kumaran: I. Still, I haven’t. I haven’t totally tried everything like I haven’t added video. And
354 00:33:37.090 ⇒ 00:33:39.709 Uttam Kumaran: yeah, I could go in and improve the profile a bit more.
355 00:33:41.530 ⇒ 00:33:54.740 Robert Tseng: Yeah, I mean, my hit rate is only really high on the product analytics. Yeah, I’ve also been getting more inbound and stuff. So like if it’s
356 00:33:54.940 ⇒ 00:34:00.236 Robert Tseng: I mean my my refresh definitely helped kind of bring in some more more stuff.
357 00:34:00.590 ⇒ 00:34:05.935 Uttam Kumaran: I wanted to show you one thing. So did I tell you like I’m we. So I met. So we we
358 00:34:06.470 ⇒ 00:34:07.209 Uttam Kumaran: we got this guy.
359 00:34:07.742 ⇒ 00:34:09.340 Robert Tseng: Guy, yeah, yeah.
360 00:34:09.340 ⇒ 00:34:14.830 Uttam Kumaran: Yeah. And so I met him because he called me. He was like yo. I went and met him, and he’s he. They were.
361 00:34:14.830 ⇒ 00:34:17.199 Robert Tseng: Yeah, like, but to fire their guys, yeah.
362 00:34:17.199 ⇒ 00:34:28.669 Uttam Kumaran: Yeah, yeah, yeah. So I asked Miguel. And in 2 days Miguel basically built like a chat based Korean hotel commerce website. I sent him a loom of me like walking through it.
363 00:34:28.879 ⇒ 00:34:29.989 Uttam Kumaran: Yeah.
364 00:34:34.019 ⇒ 00:34:39.279 Uttam Kumaran: And like, I’ll I’ll just be walking, literally walking through the demo. It’s actually here.
365 00:34:39.639 ⇒ 00:34:40.949 Uttam Kumaran: You can go try the demo.
366 00:34:42.583 ⇒ 00:34:49.279 Uttam Kumaran: It’s all in Korean, and there is an English translation. You can do pretty easy stuff.
367 00:34:49.843 ⇒ 00:34:54.570 Uttam Kumaran: You can. We also have voice, so you can do speech to text.
368 00:34:55.282 ⇒ 00:34:58.900 Uttam Kumaran: You can type in here like tomorrow at 5.
369 00:34:59.666 ⇒ 00:35:09.760 Uttam Kumaran: It’s actually like hitting fake endpoints. So if you go to inspect. You’ll see this actual endpoint payloads. And then I sent it to him. I was like, yo, we just rip this like.
370 00:35:10.170 ⇒ 00:35:11.240 Uttam Kumaran: and he’s like.
371 00:35:11.620 ⇒ 00:35:15.990 Uttam Kumaran: Can you actually, can, I actually get the demo of the hotel to play around with it? So
372 00:35:16.680 ⇒ 00:35:19.939 Uttam Kumaran: like, okay, so this is the sort of stuff I think, like
373 00:35:20.140 ⇒ 00:35:26.150 Uttam Kumaran: like I owe. I owe him a follow up. This is on Sunday, at 7 30, so I will follow up, probably like tomorrow or something, but
374 00:35:27.730 ⇒ 00:35:31.759 Uttam Kumaran: it’s like I’m trying to do trying to bias towards more of that
375 00:35:32.070 ⇒ 00:35:32.680 Robert Tseng: Yeah.
376 00:35:34.610 ⇒ 00:35:35.000 Uttam Kumaran: Yeah.
377 00:35:35.310 ⇒ 00:35:42.019 Robert Tseng: Yeah, it’s part. It’s just part of the sales, the sales process, especially on the I stuff. We’re giving them something to play around with. All the sales.
378 00:35:42.310 ⇒ 00:35:44.535 Uttam Kumaran: We haven’t. We haven’t finished
379 00:35:49.446 ⇒ 00:35:53.920 Uttam Kumaran: we haven’t finished this site yet, because fucking, I mean, I may just.
380 00:35:54.196 ⇒ 00:35:54.750 Robert Tseng: Yeah, yeah.
381 00:35:55.746 ⇒ 00:36:00.959 Uttam Kumaran: But like we, I was gonna replace these with videos. And you could go try each of these Demos, and they’re gonna
382 00:36:01.110 ⇒ 00:36:03.230 Uttam Kumaran: they are here somewhat, but, like
383 00:36:03.430 ⇒ 00:36:05.700 Uttam Kumaran: I may just shove this out the door. I don’t know.
384 00:36:06.260 ⇒ 00:36:06.870 Robert Tseng: Okay.
385 00:36:07.850 ⇒ 00:36:08.460 Uttam Kumaran: But.
386 00:36:09.130 ⇒ 00:36:11.670 Robert Tseng: It looks good to me. I better put it out there than nothing.
387 00:36:11.670 ⇒ 00:36:14.169 Uttam Kumaran: I think so, too. I’ll ask Hannah.
388 00:36:14.590 ⇒ 00:36:15.120 Robert Tseng: Yeah.
389 00:36:15.890 ⇒ 00:36:16.410 Uttam Kumaran: Okay.
390 00:36:17.360 ⇒ 00:36:18.010 Robert Tseng: Next.
391 00:36:18.250 ⇒ 00:36:19.539 Uttam Kumaran: Okay, cool. Alright. I’ll let you go.
392 00:36:19.540 ⇒ 00:36:21.139 Robert Tseng: Alright! Talk to you later. Bye.
393 00:36:21.140 ⇒ 00:36:21.630 Uttam Kumaran: Bye.