Meeting Title: Eden AI Stand Up Date: 2026-05-07 Meeting participants: Robert Tseng, Pranav
WEBVTT
1 00:01:13.880 ⇒ 00:01:15.019 Pranav: Hey, Robert.
2 00:01:15.890 ⇒ 00:01:16.749 Robert Tseng: Tape it off.
3 00:01:17.750 ⇒ 00:01:18.590 Pranav: What’s up?
4 00:01:21.750 ⇒ 00:01:37.989 Robert Tseng: Yeah, I mean, just busy week, but I’m curious how things are going here. I know we haven’t talked too much. I mean, at this point, I’m kind of like, I don’t really know how this project is going. I don’t really know how to communicate what the end looks like to them, so…
5 00:01:37.990 ⇒ 00:01:42.919 Robert Tseng: I’m just trying to understand more, like, where things are.
6 00:01:43.540 ⇒ 00:01:47.560 Pranav: Sure, yeah. Yeah. So…
7 00:01:48.930 ⇒ 00:02:03.209 Pranav: in terms of pulling in the right data now, I feel really confident about that. Especially since, I think it was yesterday or 2 days ago, Danny responded saying, hey, these themes look really good. And so, given that.
8 00:02:03.380 ⇒ 00:02:20.839 Pranav: I kind of gave the team, like, the go-ahead of, like, okay, I feel pretty good about where we’re at with themes right now. We can… we’re, if anything, if there is need for any improvement, we’re, like, at least 90% there, I would say, and it just requires some tweaks that we’ll get… and that’s just gonna be based off of feedback that we get from Danny.
9 00:02:20.840 ⇒ 00:02:33.340 Pranav: But right now, what Mustafa is working on is just setting up the end-to-end email now. So, we’ll have, like, a schedule send every Friday to, basically my drafts folder.
10 00:02:33.670 ⇒ 00:02:43.720 Pranav: in the beginning, just so we can, like, validate, like, that every week, that the report looks good, and there’s not any, like, you know, weird edge cases or weird output that we’re getting.
11 00:02:44.050 ⇒ 00:02:51.200 Pranav: But once we can validate that after a couple weeks, we’ll just have it auto-send to Danny’s email.
12 00:02:51.460 ⇒ 00:03:06.060 Pranav: And that’s basically what we scoped out for this project, right? Like, so, what we’ve already completed is that command center. So, the command center’s there, Danny already has the UI. I’m not sure how much he’s used it since, you know, he’s been kind of…
13 00:03:06.160 ⇒ 00:03:19.560 Pranav: just, like, kind of canceling meetings and not really, like, responding much to that, but he was able to just validate the output at least a couple… earlier this week, so… I feel pretty confident with the command center. And then, yeah, after that…
14 00:03:19.560 ⇒ 00:03:22.779 Robert Tseng: Can I see it? I’m, like, looking through the thread, all I see is docs.
15 00:03:23.870 ⇒ 00:03:24.470 Pranav: Yeah.
16 00:03:25.010 ⇒ 00:03:26.810 Pranav: Me, let me get it real quick.
17 00:03:27.840 ⇒ 00:03:30.529 Robert Tseng: This is the… this, like, lovable mock-up?
18 00:03:33.080 ⇒ 00:03:35.020 Pranav: Not the mock-up.
19 00:03:35.470 ⇒ 00:03:42.149 Pranav: It’s, we have, like, a… an actual instance on GCP.
20 00:03:42.280 ⇒ 00:03:43.180 Pranav: Okay.
21 00:03:48.760 ⇒ 00:03:49.969 Pranav: I believe it’s this one.
22 00:04:00.900 ⇒ 00:04:02.329 Pranav: Yup, just send it in the chat.
23 00:04:03.060 ⇒ 00:04:03.790 Robert Tseng: Okay.
24 00:04:05.390 ⇒ 00:04:07.629 Pranav: And you’ll have to sign in with your Eden account.
25 00:04:08.040 ⇒ 00:04:08.650 Robert Tseng: Okay.
26 00:04:16.140 ⇒ 00:04:17.130 Robert Tseng: Okay…
27 00:04:22.520 ⇒ 00:04:28.169 Pranav: Yeah, so then after that, once we just send out that email,
28 00:04:28.760 ⇒ 00:04:44.370 Pranav: which should be today, hopefully. Mustafa should have that, report being sent into the drafts of my account today, and then we can just send it over to Danny, and then we’ll just see what his feedback is on that tomorrow… in tomorrow’s meeting.
29 00:04:48.080 ⇒ 00:04:48.879 Pranav: I’m just gonna.
30 00:04:48.880 ⇒ 00:04:49.240 Robert Tseng: Okay.
31 00:04:49.450 ⇒ 00:04:51.680 Pranav: That he can make it to tomorrow’s meeting.
32 00:04:57.000 ⇒ 00:04:58.680 Robert Tseng: So, this is, like.
33 00:04:59.500 ⇒ 00:05:05.569 Robert Tseng: they’re… it’s hooked up to GCP, so it has all their Gemini notes, it has Slack, it has their Google Drive.
34 00:05:05.850 ⇒ 00:05:13.360 Robert Tseng: And… I guess these questions are just, like, questions that he had approved.
35 00:05:15.320 ⇒ 00:05:20.649 Pranav: Yeah, they’re, like, questions where he’s like, let’s focus on these, which he defined kind of as, like.
36 00:05:21.020 ⇒ 00:05:23.480 Pranav: Eagle-eye view of the organization.
37 00:05:25.350 ⇒ 00:05:26.140 Robert Tseng: Yeah.
38 00:05:29.310 ⇒ 00:05:30.110 Robert Tseng: Okay.
39 00:05:36.180 ⇒ 00:05:40.879 Robert Tseng: So, we’re talking to a guy, Nabil, I don’t know if you met him at Vixel. He’s like,
40 00:05:41.340 ⇒ 00:05:49.460 Robert Tseng: Yeah, he’s at GCP right now, and he’s, I guess, kind of their AI solutions engineer.
41 00:05:49.820 ⇒ 00:05:58.210 Robert Tseng: we want to… I mean, we were trying to sell things with him, but I am thinking about bringing him in
42 00:05:58.510 ⇒ 00:06:05.600 Robert Tseng: Also, to just, like, try to build out a roadmap here. So…
43 00:06:06.320 ⇒ 00:06:23.549 Robert Tseng: Yeah, I think, like, as far as renewal goes, like, I don’t feel like I have enough to know how to, like, pitch… pitch that, like, I don’t think there’s been enough feedback, and, like, I don’t really know what else to say to them, so… I’m hoping that he can come and
44 00:06:23.850 ⇒ 00:06:26.260 Robert Tseng: Look at what we’ve done on this project, say.
45 00:06:26.450 ⇒ 00:06:37.749 Robert Tseng: like, tell us, like, what capabilities we haven’t unlocked within, Gemini and just, kind of, Google AI products, and then to help put together a,
46 00:06:38.010 ⇒ 00:06:44.979 Robert Tseng: a renewal proposal, so that’s kind of… yeah, so I guess what… what do you… what do you think about that?
47 00:06:45.820 ⇒ 00:06:55.539 Pranav: Yeah, I don’t know if necessarily the… the roadmap for the future necessarily needs to be integrating with other Google products.
48 00:06:55.710 ⇒ 00:07:00.620 Pranav: what I keep on thinking that comes to mind is integration with other platforms,
49 00:07:01.110 ⇒ 00:07:15.349 Pranav: And so… I’m trying to remember the names of, like, the other platforms, but they do work in, like, a few other areas that we haven’t integrated into the command center, which Danny was like, yeah, there’s gonna be context there as well.
50 00:07:15.580 ⇒ 00:07:18.499 Pranav: Does that ring any bells for you, or should I… I can look into it.
51 00:07:18.500 ⇒ 00:07:21.960 Robert Tseng: Yeah, I mean, I… I guess…
52 00:07:22.740 ⇒ 00:07:32.290 Robert Tseng: I’m not really sure what else… I mean, they’re just using Claude, so… I know they burn $3,000 a day, Claude tokens. So,
53 00:07:32.540 ⇒ 00:07:47.499 Robert Tseng: Yeah, I mean, I’ve been kind of more focused on the data side. We got that contract renewal this month, and I basically cut the team down to 3 people, and we’re, like, writing a pretty different engagement. But yeah, they just constantly are
54 00:07:47.500 ⇒ 00:07:55.700 Robert Tseng: Yeah, they are… they’re making, like, 10 to 15 commits a day into… into, like, this repo that’s, like, trying to…
55 00:07:55.780 ⇒ 00:07:59.900 Robert Tseng: make a bunch of changes on the… on the data side, so…
56 00:08:00.060 ⇒ 00:08:05.280 Robert Tseng: I guess I know everything that’s going on on marketing and data.
57 00:08:05.690 ⇒ 00:08:08.219 Robert Tseng: I don’t know what else Danny is thinking about.
58 00:08:08.680 ⇒ 00:08:18.639 Pranav: Yeah, so in the beginning, he was thinking a little bit about integrating with, like, Zendesk and, like, phone as well. Okay. So he’s transferring transcripts that are coming.
59 00:08:18.640 ⇒ 00:08:19.910 Robert Tseng: Yeah, I remember him saying that.
60 00:08:20.060 ⇒ 00:08:39.809 Pranav: yeah, through, like, phone calls, that would be a really good context, similar with, like, Zendesk. And what’s interesting there is, like, we’ve built a lot of similar stuff. Well, we’re building currently, so a lot of similar stuff with ABC. So, I think… and those are always extremely context… context-rich sources of information, and…
61 00:08:40.020 ⇒ 00:08:44.810 Pranav: And it would be super useful for something like a command center, where you’re trying to get understanding of, like.
62 00:08:45.100 ⇒ 00:08:52.100 Pranav: the specific details of, like, projects across the organization. Like, that’s exactly what we’re building for ABC.
63 00:08:52.440 ⇒ 00:08:55.399 Pranav: So, I think that’s a huge, like…
64 00:08:55.700 ⇒ 00:09:05.559 Pranav: that’s, like, huge. We can talk about how, you know, we’re already pulling in a ton of information from Google, and it’s, like, it’s shown, and, like, you validated too, Danny, that,
65 00:09:05.830 ⇒ 00:09:12.829 Pranav: the responses and, like, the theme quality is actually… it is very informative. But then there’s…
66 00:09:13.160 ⇒ 00:09:21.659 Pranav: there’s gaps because we don’t have the transcripts from the phone, we don’t have, like, the exact, calls from Zendesk, we can pull that into the command center as well.
67 00:09:25.010 ⇒ 00:09:25.710 Robert Tseng: Yeah.
68 00:09:26.490 ⇒ 00:09:41.509 Robert Tseng: So, I’m also thinking… so, like, this is, like, another chat interface for them, kind of based on what I… I mean, I was in Boston last week, I went to a couple conferences, and was in a room of, like, other COO slash president figures, and,
69 00:09:42.640 ⇒ 00:09:45.330 Robert Tseng: Yeah, I think, like, there’s…
70 00:09:46.730 ⇒ 00:09:57.419 Robert Tseng: Yeah, I think there’s a… there’s a roadmap to pull in new context. I think that definitely we can… we can pitch that. But then from, like, how they’re using it, I think there’s… there’s more and more examples of, like.
71 00:09:57.600 ⇒ 00:10:16.750 Robert Tseng: basically, like, open claw for enterprises, so, like, a… like a… like an executive assistant that’s, like, just, like, another Slack bot, or… it’s, like, it’s actually not bot, it’s just, like, a… actually, it’s a Slack seat, but it’s, like, completely just, like, AI, and maybe that person, like, if they can…
72 00:10:16.870 ⇒ 00:10:19.380 Robert Tseng: Because right now, this is just, like,
73 00:10:21.460 ⇒ 00:10:30.819 Robert Tseng: it’s, like, a really good… or, like, knowledge… knowledge base. Like, it’s like a chatbot for them. So, like, how do we, like, extend the functionality so that…
74 00:10:30.990 ⇒ 00:10:39.500 Robert Tseng: they also can take actions based off of what they’re seeing. So, I’m, like, thinking, like, as I’m reading…
75 00:10:39.600 ⇒ 00:10:51.969 Robert Tseng: through a couple of these examples, let’s say, okay, look, critical order processing, pharmacy, or turnarounds. So, there’s, like, stuck orders here, and what we need to do then is to,
76 00:10:54.510 ⇒ 00:11:09.999 Robert Tseng: first surface, like, what is that list of stuck orders, which we have. We have, Omni set up for them already, an Omni… there’s an Omni MCP. We should be able to, just, like, off of this, off of the product filter, Optio.
77 00:11:10.150 ⇒ 00:11:17.240 Robert Tseng: Stuck orders, I guess there’s a little bit more steering, but let’s just assume that it’s, like, stuck orders in the past… in this past week… in this past week.
78 00:11:17.440 ⇒ 00:11:23.960 Robert Tseng: Like, go and send a message into the HealthOS dev team Slack.
79 00:11:24.020 ⇒ 00:11:40.440 Robert Tseng: with that Omni embedded report in Slack, and then just, like, opening conversation, tagging, the, like, the head of pharmacy or whatever, telling them, like, like, what, like, what’s… what’s going on here. Like, you know, some… something where, like, it goes from…
80 00:11:40.860 ⇒ 00:11:52.710 Robert Tseng: like, the synthesis of the problems that it’s… that it’s found, but then, like, it’s integrated enough with the data side, like, whether it’s with Omni reporting, or also, I mean, we could…
81 00:11:53.030 ⇒ 00:12:09.710 Robert Tseng: I guess, yeah, yeah, or… or… I mean, I would say that’s probably the safest. So, yeah, I got it. So, hooked up to Omni somehow, and then, it’s… it’s able to just, like, draft messages and, like, ping people when these… when these problems are… are… are showing up. So, and, like.
82 00:12:10.190 ⇒ 00:12:18.879 Robert Tseng: Yeah, I think that’s… that’s… I’m not… yeah, anyway, that’s one way that I’m… I see that we can… we can extend this.
83 00:12:19.050 ⇒ 00:12:22.239 Robert Tseng: So that it’s more useful for him.
84 00:12:22.570 ⇒ 00:12:39.450 Robert Tseng: Yeah, because right now, he just, like, has this… he actually… they have an executive assistant, Caitlin, I don’t know if you’ve ever met her. She, like, does all their scheduling, does random things for her, but basically just want to replace her. I think that would be a compelling, like, experiment for them, like, that they can
85 00:12:39.790 ⇒ 00:12:41.870 Robert Tseng: this Slack agent that’s just, like.
86 00:12:41.990 ⇒ 00:12:46.189 Robert Tseng: Able to action, at least, yeah, like, on a lot of these things.
87 00:12:47.050 ⇒ 00:12:52.789 Pranav: Gotcha. Does, does Caitlin also, like, do kind of, like, this bottleneck,
88 00:12:53.090 ⇒ 00:12:56.929 Pranav: like, assessment across the organization to, like, and then report that to Danny?
89 00:12:56.930 ⇒ 00:13:03.560 Robert Tseng: She can’t do much with data, but she is kind of just, like, creating random group chats with people, throwing them all into a meeting, saying, like.
90 00:13:03.560 ⇒ 00:13:04.060 Pranav: like.
91 00:13:04.060 ⇒ 00:13:13.299 Robert Tseng: Oh, ELT is saying this is a problem, can you guys meet to find it? Like, it’s like a very, like… I think this… this already has more context than what she’d be able to fish for, you know?
92 00:13:13.300 ⇒ 00:13:16.540 Pranav: Exactly, yeah, so…
93 00:13:16.880 ⇒ 00:13:33.020 Pranav: The Omni integration is interesting. That’s, like, essentially bringing in more context as well, but the second part, what you were talking about, which is, like, okay, creating action based off of this analysis, that… I totally agree. Like, that’s a great, like, next step as well to this.
94 00:13:33.670 ⇒ 00:13:50.889 Pranav: I think getting the validation of, like, this is useful information is, like, the first step. We’re… I think we’re pretty close to that, if not already there. And now, yeah, it makes sense, like, okay, now you have all of these things, how about you have, like, a one-click button that, like, takes all of your bottlenecks and, like.
95 00:13:50.890 ⇒ 00:14:01.260 Pranav: drafts out Slack messages to all these different channels, tagging all the right people with, like, the relevant references to the certain meetings or documents.
96 00:14:02.720 ⇒ 00:14:03.480 Pranav: Yeah.
97 00:14:04.720 ⇒ 00:14:16.809 Robert Tseng: Yeah, let me see if I have an example. So this was the founder of this guy. This guy used to run Power Digital, former head of, like, e-com for Sears, like, he’s an older, older guy.
98 00:14:16.980 ⇒ 00:14:21.289 Robert Tseng: But yeah, he, he basically, like, they, they…
99 00:14:21.490 ⇒ 00:14:33.930 Robert Tseng: I mean, his website is what it is, but he basically just does, like, open claw for other agencies. And so, I don’t think there’s, like, a demo of his thing here, but I think there’s some ways that he talks about
100 00:14:34.180 ⇒ 00:14:37.289 Robert Tseng: I mean, I guess this is for me to put together, but,
101 00:14:40.230 ⇒ 00:14:49.679 Robert Tseng: Yeah, he’s mostly working with go-to-market teams, and his… yeah, he basically creates, like, a Slack assistant within his agencies, and is,
102 00:14:52.430 ⇒ 00:15:06.970 Robert Tseng: I mean, there is a lot of this, obviously, it’s hooked up to Slack, their internal docs and everything, they have their OKRs, and, so the way that they price it is, like, they build out this agent, they’re specifically trying to,
103 00:15:07.380 ⇒ 00:15:11.619 Robert Tseng: Move the needle on certain pipeline metrics, and…
104 00:15:11.900 ⇒ 00:15:18.170 Robert Tseng: Yeah, they… it’s… it’s like a 9… it’s like a 90-day sprint, like, that’s how… that’s how he… that’s how he prices it, so…
105 00:15:18.250 ⇒ 00:15:30.360 Robert Tseng: I mean, we’re already… we’ve already gone in with… for Eden, we’ve built out all these… we’ve built out some embeddings, we’ve done this type of, like, context engineering for, like, their operational data.
106 00:15:30.360 ⇒ 00:15:41.669 Robert Tseng: now I’m trying… yeah, now we’re trying to… yeah, I think… I think we just need something that’s a bit… that’s more integrated to how they work. Like, I just… if Danny’s not coming in here, and he’s not using this.
107 00:15:41.800 ⇒ 00:15:48.430 Robert Tseng: I mean, that’s obviously… yeah, that’s a problem. I think it’s a good way to showcase, like, the quality of the…
108 00:15:48.590 ⇒ 00:15:57.479 Robert Tseng: Of the data that we have, but yeah, I think the next… the next step is we need something that’s, like, embedded into where he works, which seems like is going to be Slack.
109 00:15:58.550 ⇒ 00:16:12.269 Pranav: Yeah, okay, so I can see that too. So, yeah, he can even trigger the command center from Slack, so we created our Slack bot, so then this UI is just not even necessary, you know? Since it’s already built, it can just exist, and it’ll still work.
110 00:16:12.590 ⇒ 00:16:21.889 Robert Tseng: Yeah, it’ll still work, and we can always go and, like, test answers and stuff from here, because, like, Slack can get kind of messy, but, but yeah, like, I would imagine that his main…
111 00:16:22.010 ⇒ 00:16:34.590 Robert Tseng: like, he would want to… like, I just think about it, he should be trying to… he should replace Caitlyn. Like, that would be, I think, is maybe, like, what I… the vision that I want to… to… to sell him on.
112 00:16:35.500 ⇒ 00:16:37.420 Pranav: Okay, interesting. Yeah, I mean…
113 00:16:37.730 ⇒ 00:16:56.389 Pranav: with Caitlin, yeah, I don’t have that much experience with her besides just setting up, like, meetings with me and letting me know, like, what Danny’s schedule is, which I think is, like… like, this is so beyond the scope of what Caitlin does from my experience. But yeah, maybe you have different… different, experience with her.
114 00:16:59.180 ⇒ 00:17:18.459 Robert Tseng: Yeah, no, I mean, I’m just, like, I’m in their Slack right now, I’m looking at everything related to Caitlin. Yeah, she pings people, tries to book time with them, like, grabs time with them with ELT. That’s, like, a gimmicky thing that we could easily do. If we have… we’re connected to their Google Drive, and we have all their calendars already, we could easily go in, like, this Slack
115 00:17:18.460 ⇒ 00:17:26.680 Robert Tseng: bot thing can go and book… book meetings with people. Yeah, so I think, like, with along… yeah, this data.
116 00:17:26.950 ⇒ 00:17:32.140 Robert Tseng: Yeah, I think, yeah, we just, we just need… we just… I think just having a better, like.
117 00:17:33.380 ⇒ 00:17:52.360 Pranav: How are you seeing that work right now? Like, are you saying that it should automatically set up those, calendars, or should it be… because right now, what’s probably happening, right, is Danny’s just messaging Caitlin, like, hey, can you set up these meetings? Or is Caitlin just, like, looking at what’s happening in these channels, and even without Danny’s, kind of.
118 00:17:52.440 ⇒ 00:17:55.000 Pranav: Direction she’s setting up these meetings.
119 00:17:55.000 ⇒ 00:18:01.929 Robert Tseng: No, no, yeah. Well, I mean, there’s some… yeah, it’s just… it’s just ELT asking Caitlin, hey, I want to book time with… with Robin.
120 00:18:01.930 ⇒ 00:18:02.650 Pranav: Yeah, they just do that.
121 00:18:02.650 ⇒ 00:18:03.190 Robert Tseng: Don’t find out.
122 00:18:03.190 ⇒ 00:18:10.800 Pranav: Cloud Co-Work right now. Like, they can just go into Cloud Co-Work and set up meetings. I think that’s what Danny’s response is gonna be. He’s like, I can just do that in Cloud Co-work.
123 00:18:12.640 ⇒ 00:18:16.919 Robert Tseng: Yeah, but, like, just having it be done out of Slack, I think, would be…
124 00:18:17.190 ⇒ 00:18:26.279 Robert Tseng: like, would be better. I mean, Claude co-work there, like I said, they’re burning $3,000, like, dollars a day in Claude tokens, and, like, that’s…
125 00:18:27.180 ⇒ 00:18:29.629 Robert Tseng: I mean, they’re… it’s just… they’re…
126 00:18:32.770 ⇒ 00:18:45.790 Robert Tseng: I think, like, a simple integration like that doesn’t require them to use cloth. Like, I… as far as, like, how do we package it together, like, I think we need to, like, activity map, like, all the things that Caitlin does, but, like.
127 00:18:46.080 ⇒ 00:19:05.890 Robert Tseng: Yeah, I mean, booking calls is not the only thing she does. She’s not just, like, a puree. Like, she… she is, like, like I said, bringing people into a room, finding, based off of the org chart, who are the people that need to be in the same room, bringing up a topic from the top down, ELT saying you need to discuss purchasing this pharmacy, you need to go and look into,
128 00:19:06.000 ⇒ 00:19:24.480 Robert Tseng: you know, whatever issue that they’ve highlighted, and then just forcing the conversation in Slack. Like, that’s… that’s what she does. Like, I… she may take on some other special projects other than that, but if you’re able to surface these problems, then I think, like, the next step is really just to, like.
129 00:19:24.520 ⇒ 00:19:27.940 Robert Tseng: Yeah, like, to handle this coordination part as well.
130 00:19:28.590 ⇒ 00:19:43.389 Pranav: Okay, yeah, I mean, now that… I see the picture a little bit more now, so… Yeah. Question, basically, to the command center could be, you know, at Command Center SlackBot, Mixed panel is having problems right now, set up a meeting later this week with the key stakeholders, and then…
131 00:19:43.640 ⇒ 00:19:44.739 Pranav: Sends out that.
132 00:19:45.860 ⇒ 00:19:46.440 Robert Tseng: Yeah.
133 00:19:46.960 ⇒ 00:19:50.550 Pranav: Okay. Yeah, I can see that. That sounds… that sounds, like, super useful.
134 00:19:52.060 ⇒ 00:19:57.770 Robert Tseng: Yeah, that way it’s, like, not just surfacing the issues to them, but, like, it will actually just go in and,
135 00:19:57.970 ⇒ 00:20:13.909 Robert Tseng: go and follow up, and then best is, like, the results from… from those conversations, and we’ll pull the results back in, and it’ll kind of, maybe at the end of the week, show… show them, like, how… like, how the, like, progress on that particular issue.
136 00:20:14.520 ⇒ 00:20:15.560 Pranav: Yeah, that makes sense.
137 00:20:15.560 ⇒ 00:20:16.140 Robert Tseng: Yeah.
138 00:20:19.700 ⇒ 00:20:20.440 Pranav: Okay.
139 00:20:23.580 ⇒ 00:20:31.049 Robert Tseng: Okay, yeah, I think that’s… I need to, like, put more words to this, but I think that’s the direction of, like, how…
140 00:20:31.200 ⇒ 00:20:40.509 Robert Tseng: I think we have, like, about a week or two weeks before this is up, so, like, I’m gonna try to put something together and send it to Danny, but that’s… I think that’s the direction that I want to head in.
141 00:20:41.010 ⇒ 00:20:42.860 Pranav: Okay, cool, that sounds good to me.
142 00:20:43.820 ⇒ 00:20:45.300 Robert Tseng: Okay, cool, thanks.
143 00:20:45.710 ⇒ 00:20:46.729 Pranav: Yeah, see ya.