Meeting Title: Casie - Pranav Sync on Lilo Date: 2026-01-13 Meeting participants: Casie Aviles, Pranav Narahari


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1 00:00:29.510 00:00:30.510 Casie Aviles: Hey, Pranav.

2 00:00:42.220 00:00:45.769 Pranav Narahari: Hey, Gacy, sorry about that. I was having some weird issues with Zoom.

3 00:00:47.900 00:00:49.270 Casie Aviles: Hey, hey, yeah, no.

4 00:00:52.830 00:00:55.750 Pranav Narahari: Yeah, so…

5 00:00:56.590 00:01:02.149 Casie Aviles: You have access to GitHub now, Railway, yes.

6 00:01:02.640 00:01:05.709 Pranav Narahari: If you can see those documents as well,

7 00:01:06.470 00:01:09.980 Pranav Narahari: But it sounds like, actually, with,

8 00:01:11.080 00:01:21.959 Pranav Narahari: with Nano Banana, we have more than just this week to get it fully shipped. I think the idea is still to have something there by Friday.

9 00:01:22.110 00:01:23.130 Pranav Narahari: But,

10 00:01:23.580 00:01:30.110 Pranav Narahari: By next… for next week, there’ll still be some time to, like, just refine the… the feature itself.

11 00:01:30.280 00:01:37.499 Pranav Narahari: And then get some feedback on it, and then by the end of next week, the idea is to be fully shipped into production with that.

12 00:01:38.860 00:01:39.280 Casie Aviles: Okay.

13 00:01:39.280 00:01:45.250 Pranav Narahari: It also sounds like Utam would rather have you work on that one, because it’s a little bit like…

14 00:01:45.460 00:01:49.710 Pranav Narahari: A new feature, not something that we’ve worked on already.

15 00:01:50.050 00:01:50.710 Casie Aviles: Yeah.

16 00:01:51.290 00:01:54.470 Pranav Narahari: Yeah. So… How do you feel about that?

17 00:01:55.490 00:01:59.389 Casie Aviles: Yeah, I think if… yeah, I can focus on that for this week,

18 00:01:59.710 00:02:05.170 Casie Aviles: I think, yeah, it was nice that we were able to clarify the priority earlier, so…

19 00:02:05.660 00:02:10.189 Casie Aviles: I can look into this. I’m actually just looking at the…

20 00:02:10.590 00:02:13.929 Casie Aviles: the repo right now, and I’m trying to…

21 00:02:15.290 00:02:24.469 Casie Aviles: go through and just check. It looks like it’s in Phase 3 right now, right? Is that where we put the Nano Banana work?

22 00:02:27.050 00:02:29.720 Pranav Narahari: Banana Banana Work, is that in Phase 3?

23 00:02:30.790 00:02:32.369 Casie Aviles: I can share my screen.

24 00:02:34.400 00:02:34.790 Pranav Narahari: Yeah.

25 00:02:35.420 00:02:38.330 Casie Aviles: But, it’s just here,

26 00:02:39.720 00:02:45.360 Casie Aviles: this one, the content tool, based on what cursor told me. I was just…

27 00:02:46.380 00:02:53.970 Pranav Narahari: Oh, yeah, maybe it was a Phase 3 thing, now that’s… and that’s now been… Like, preponed.

28 00:02:54.450 00:02:56.709 Casie Aviles: Okay. Yeah, no problem. Yeah.

29 00:02:58.460 00:03:04.629 Casie Aviles: And… what else? Do we actually need, like, do we have any environment

30 00:03:05.340 00:03:08.549 Casie Aviles: Like, .env files that we need to load here.

31 00:03:11.360 00:03:12.830 Pranav Narahari: Sorry, can you repeat that?

32 00:03:13.490 00:03:17.269 Casie Aviles: like, a .env, is there… is there something that I need to…

33 00:03:18.380 00:03:23.230 Casie Aviles: Put here in order to, like, any environment variables that we need.

34 00:03:23.870 00:03:25.839 Pranav Narahari: Oh, to, like, run the application?

35 00:03:25.840 00:03:26.810 Casie Aviles: Yeah, yeah.

36 00:03:26.810 00:03:30.290 Pranav Narahari: Let me see…

37 00:03:30.770 00:03:36.659 Pranav Narahari: So, all the environment variables, too, are just in railway, so I would say just use that as, like, the source of truth.

38 00:03:37.230 00:03:38.780 Casie Aviles: Oh, okay, okay.

39 00:03:38.780 00:03:43.399 Pranav Narahari: Yeah, but let me… Let me just pull up Cursor real quick.

40 00:03:43.920 00:03:46.470 Pranav Narahari: There definitely are some environment variables.

41 00:03:49.170 00:03:55.360 Pranav Narahari: Yeah, so, what you’ll need is, like, the better auth, secret…

42 00:03:55.710 00:04:02.789 Pranav Narahari: database, you are… I mean, you’ll have to, like, just, spin up a database locally, a Postgres database,

43 00:04:03.920 00:04:09.929 Pranav Narahari: Google OAuth ID and Secret, that’ll also be on Railway,

44 00:04:11.340 00:04:14.389 Pranav Narahari: And then, in MCP, encryption secret.

45 00:04:17.079 00:04:21.769 Casie Aviles: Yeah, all that stuff will be on Railway, and that’s gonna be, like, in the backend ENV.

46 00:04:23.050 00:04:30.449 Pranav Narahari: Yeah, I would say just take a look at Railway for that stuff. If you’re still having issues, then we can try to, like, configure it and get, like, your local up and running.

47 00:04:32.240 00:04:35.570 Casie Aviles: Yeah, I was just trying to, like, run it locally first.

48 00:04:35.570 00:04:36.590 Pranav Narahari: Okay.

49 00:04:37.270 00:04:37.830 Pranav Narahari: Yep.

50 00:04:38.830 00:04:42.930 Pranav Narahari: And anything MCP-related, I would say reach out to Sam about that.

51 00:04:44.530 00:04:46.249 Pranav Narahari: I actually haven’t…

52 00:04:46.460 00:04:52.820 Pranav Narahari: run all the MCP servers locally yet, because Sam’s just about, like, wrapping that up, and I’ve been working on other stuff.

53 00:04:54.160 00:05:03.440 Pranav Narahari: But yeah, that would actually be a good test of our documentation if, you’re able to run the MCP servers locally.

54 00:05:04.720 00:05:05.750 Casie Aviles: Okay, cool.

55 00:05:06.010 00:05:13.350 Casie Aviles: So the non… the nano-banana work is not really dependent on any of those, right, on the MCP stuff.

56 00:05:13.350 00:05:14.120 Pranav Narahari: No, not…

57 00:05:14.120 00:05:15.020 Casie Aviles: MCP stuff.

58 00:05:15.020 00:05:15.810 Pranav Narahari: Yeah.

59 00:05:16.520 00:05:18.900 Pranav Narahari: Yeah, so it’s like, it’s a perfect,

60 00:05:19.300 00:05:28.840 Pranav Narahari: perfect thing to just get started on as soon as you can. And also in railway, actually, it’s a little bit messy how things are right now, which we’re gonna get fixed this week.

61 00:05:29.240 00:05:31.490 Pranav Narahari: If you wanna go back there real quick?

62 00:05:31.950 00:05:34.710 Casie Aviles: Not really? Yeah.

63 00:05:36.820 00:05:43.660 Pranav Narahari: Yeah, so… if you look… if you would click on that, production drop-down, it’ll show all the environments that we have.

64 00:05:44.090 00:05:48.289 Pranav Narahari: Like, at the… the top… Navbar, yeah.

65 00:05:48.820 00:05:59.649 Pranav Narahari: Yeah, so we have dev, production, Sam Test. So SAM test is just where he’s putting all of his, MCP server stuff, and I think he’s gonna push that into dev later today.

66 00:06:00.030 00:06:12.819 Pranav Narahari: Production actually is not… doesn’t have even close to what the latest stuff is. It’s basically just, like, our initial setup of the project. For all the ENV keys.

67 00:06:12.950 00:06:19.599 Pranav Narahari: and secrets and all that stuff, go into dev for that. Dev is gonna have the…

68 00:06:19.930 00:06:24.019 Pranav Narahari: gonna have most of that information. Also Sam test, if, like.

69 00:06:24.130 00:06:33.530 Pranav Narahari: I know Sam said he’s gonna get that trying… he’s gonna try to merge that into dev today, but he’s having some issues with, like, the config files.

70 00:06:33.950 00:06:34.500 Pranav Narahari: Hmm, so…

71 00:06:34.500 00:06:35.210 Casie Aviles: So…

72 00:06:35.460 00:06:42.050 Pranav Narahari: if you’re missing some ENVs, like, for the MCP stuff, that’s gonna be in Sam Test, I would presume. But yeah, again…

73 00:06:42.230 00:06:43.890 Pranav Narahari: Talk to Sam about that.

74 00:06:44.330 00:06:46.340 Casie Aviles: Okay, yeah, I’ll ask.

75 00:06:49.620 00:06:50.490 Pranav Narahari: Alright.

76 00:06:50.520 00:06:58.789 Casie Aviles: I think it’s… yeah, I’ll take a look today and give an update by EOD, I get something up.

77 00:06:59.390 00:07:01.320 Casie Aviles: What else do I need?

78 00:07:02.660 00:07:10.450 Casie Aviles: So… Oh, yeah, one more thing. Do I have to ask for, like, an API key from them, or…

79 00:07:11.800 00:07:13.610 Casie Aviles: Fur, nana, nana?

80 00:07:13.730 00:07:18.670 Casie Aviles: Yeah, or is that something we can just test for now with our own keys?

81 00:07:19.950 00:07:26.370 Pranav Narahari: I think they’d be happy to provide one, because I think they already do have one.

82 00:07:27.300 00:07:28.240 Casie Aviles: Yeah, okay.

83 00:07:28.770 00:07:34.119 Pranav Narahari: Yeah, and check in OnePass if we already have it. Like, a lot of stuff they’ve already just, like, sent over.

84 00:07:34.320 00:07:35.990 Pranav Narahari: But I haven’t checked myself.

85 00:07:37.510 00:07:38.280 Casie Aviles: Probably.

86 00:07:42.980 00:07:48.999 Pranav Narahari: I think you’ll have to go into the Lilo account. Oh, I guess you are in all accounts, so maybe that’s fine.

87 00:08:07.640 00:08:12.450 Casie Aviles: I think I’m not added there yet, so I’ll probably ask Rico to add me there.

88 00:08:15.290 00:08:16.359 Pranav Narahari: Yep, that makes sense.

89 00:08:19.370 00:08:22.610 Casie Aviles: Alright, I think I… yeah, I think that’s… What else?

90 00:08:22.990 00:08:27.710 Casie Aviles: So we do have this, replit, right? .

91 00:08:28.270 00:08:33.530 Pranav Narahari: So I’m just going to, like, basically recreate this, and… Yep.

92 00:08:34.080 00:08:34.830 Casie Aviles: Okay.

93 00:08:37.830 00:08:45.859 Pranav Narahari: Yeah, I believe it’s this one. There’s also that static storyboards one, but I don’t think… I think that’s something else. Right under image generation.

94 00:08:46.070 00:08:48.260 Pranav Narahari: Yeah, this is something else, I believe.

95 00:08:48.510 00:08:52.219 Pranav Narahari: Image generation, I believe, is, like, the nano Banana…

96 00:08:52.420 00:08:55.450 Pranav Narahari: thing that they’re looking for.

97 00:08:59.420 00:09:00.440 Pranav Narahari: Yeah.

98 00:09:00.720 00:09:07.369 Pranav Narahari: I’m sure, like, if you wanted to even… like, kind of what Utam was saying today, like, if you wanted to hop in a call with them, like…

99 00:09:07.500 00:09:16.749 Pranav Narahari: They may even give you a little bit more clarity, and like, since you’re new to the project, too, like, they won’t feel like, you know… if they’ve said something before, they won’t feel bad, like, repeating it again.

100 00:09:17.710 00:09:18.080 Casie Aviles: Okay.

101 00:09:18.080 00:09:20.660 Pranav Narahari: Yeah, Bobby seems pretty active in that channel, so, like…

102 00:09:20.970 00:09:27.800 Pranav Narahari: Hopping in, like, a quick huddle with him might be useful. Actually, if you could do that on Zoom, that’d be even better, because then we could have it recorded.

103 00:09:28.030 00:09:29.370 Casie Aviles: Yeah, yeah, okay.

104 00:09:30.180 00:09:30.730 Pranav Narahari: Yo.

105 00:09:32.180 00:09:32.750 Casie Aviles: I’ll reach out.

106 00:09:32.750 00:09:45.509 Pranav Narahari: Yeah, this banana banana work, like, I don’t have, like, a super clear picture of, I just kind of am defaulting to, like, what’s on the replit. So, yeah, I don’t want to steer you the wrong way on this.

107 00:09:46.450 00:09:46.890 Casie Aviles: Okay, yeah.

108 00:09:46.890 00:09:52.249 Pranav Narahari: But, that being said, yeah, you can reach out to Utom or Sam about it, or just go straight to Bobby.

109 00:09:53.680 00:09:54.340 Casie Aviles: Alright.

110 00:09:54.770 00:10:02.869 Casie Aviles: Okay, yeah, I think I’m… I’m pretty set right now. I’m just going to explore a bit more, and then I’ll reach out to them as I need it, yeah.

111 00:10:03.430 00:10:04.260 Pranav Narahari: Cool, cool.

112 00:10:06.110 00:10:07.260 Casie Aviles: Okay, yeah.

113 00:10:11.170 00:10:18.709 Casie Aviles: Alright, what else? So, do you also, want to talk about ABC briefly?

114 00:10:19.780 00:10:21.050 Pranav Narahari: Yeah, sure.

115 00:10:22.470 00:10:28.730 Casie Aviles: Okay, hmm… Cheers.

116 00:10:28.880 00:10:30.280 Casie Aviles: Go to…

117 00:10:38.390 00:10:44.140 Casie Aviles: Because, this first step, they could… This one, I think, yeah.

118 00:10:46.250 00:10:54.799 Casie Aviles: Because what we did… for ABC, was we wanted to… Generate some scores.

119 00:10:55.390 00:10:59.150 Casie Aviles: For, for the chatbot, so we have, like.

120 00:10:59.790 00:11:02.770 Casie Aviles: Just to give you an idea.

121 00:11:05.560 00:11:08.039 Casie Aviles: We have this workspace here.

122 00:11:08.940 00:11:13.949 Casie Aviles: using the Brainforge.co anteater, and… We can access…

123 00:11:14.840 00:11:20.649 Casie Aviles: the bot here, basically, and this is where the CSRs are…

124 00:11:21.280 00:11:24.720 Casie Aviles: chatting with the AIV assistant, and…

125 00:11:25.990 00:11:30.830 Casie Aviles: Basically, what we’re trying to do is we want to be able to generate scores.

126 00:11:31.950 00:11:36.199 Casie Aviles: For, like, you know, for whenever…

127 00:11:37.530 00:11:41.150 Casie Aviles: an exchange happens between the user and the AI.

128 00:11:42.980 00:11:44.329 Pranav Narahari: So we want… okay.

129 00:11:44.330 00:11:48.130 Casie Aviles: Yeah, what we did before… We were using…

130 00:11:49.280 00:11:54.860 Casie Aviles: Brain Trust, but I think right now we’re not… we’re no longer using it.

131 00:11:56.800 00:12:04.550 Casie Aviles: I think it’s this one, yeah. Braintrust.dev. We were using this before, And we set up, like.

132 00:12:07.200 00:12:14.600 Casie Aviles: Scores that would score based on similarity, or, like, a similarity score, and then…

133 00:12:15.560 00:12:19.740 Casie Aviles: Edit distance, you know, stuff like that, factuality,

134 00:12:20.420 00:12:24.389 Casie Aviles: So, it didn’t work very well, because…

135 00:12:25.190 00:12:27.859 Casie Aviles: Kind of how we set it up was very…

136 00:12:27.980 00:12:30.469 Casie Aviles: was like a workaround. It wasn’t, like.

137 00:12:32.260 00:12:41.359 Casie Aviles: Like, we were using N8, and we kind of stitched those together, it was not very elegant, you know, and it ended up not being very useful.

138 00:12:41.930 00:12:43.030 Casie Aviles: So…

139 00:12:43.990 00:12:49.339 Casie Aviles: Yeah, I think that that’s what we’re trying to do. Like, I guess we can start with just…

140 00:12:50.020 00:12:55.220 Casie Aviles: Defining what metrics would be the most Helpful.

141 00:12:55.450 00:12:59.810 Casie Aviles: And that, ideally, it should be something that we could show

142 00:13:00.780 00:13:05.730 Casie Aviles: Let me go to that. We have this dashboard that we show to them.

143 00:13:06.990 00:13:08.330 Casie Aviles: Let’s see…

144 00:13:13.590 00:13:18.380 Casie Aviles: Yeah, so we have this dashboard, and this is what they look at, I believe, weekly.

145 00:13:20.750 00:13:26.509 Casie Aviles: And We have, like, a quality score here that we’re no longer…

146 00:13:28.390 00:13:33.630 Casie Aviles: populating, because the quality score was just, like, an LLM.

147 00:13:34.310 00:13:39.800 Casie Aviles: That we had… And… it’s not very helpful, because sometimes…

148 00:13:40.280 00:13:47.630 Casie Aviles: It would get, like, a score of… so, in a scale of 1 to 10, it would get, like, 8, but then it will be tagged as…

149 00:13:48.240 00:13:52.210 Casie Aviles: Incorrect by the users, so… I… when…

150 00:13:52.210 00:13:52.780 Pranav Narahari: Oh, okay.

151 00:13:53.010 00:13:59.190 Casie Aviles: Yeah, so one of the goals there is to make sure that it’s an accurate score.

152 00:14:00.260 00:14:01.440 Pranav Narahari: Gotcha. So…

153 00:14:02.300 00:14:06.070 Casie Aviles: Yeah, and… I’m not sure what else.

154 00:14:06.070 00:14:10.050 Pranav Narahari: the timeline on this, is this gonna be, like, a…

155 00:14:10.460 00:14:12.939 Pranav Narahari: Something that we’re trying to push…

156 00:14:13.270 00:14:16.100 Pranav Narahari: Like, immediately, or is this kind of like,

157 00:14:16.230 00:14:20.290 Pranav Narahari: We… oh, so this is just defining the core evaluation metrics, okay.

158 00:14:20.290 00:14:24.670 Casie Aviles: Yeah. So this is gonna be kind of just, like, documentation for, like, how we’re gonna do it.

159 00:14:25.010 00:14:25.490 Casie Aviles: implementation.

160 00:14:25.490 00:14:26.899 Pranav Narahari: will happen next, okay.

161 00:14:27.240 00:14:33.150 Casie Aviles: Yeah, so we don’t need to, like, build the evals yet, it’s just more on…

162 00:14:33.590 00:14:36.520 Casie Aviles: Yeah, defining what metrics are we gonna…

163 00:14:36.900 00:14:39.590 Casie Aviles: score for, you know, like… Okay.

164 00:14:39.760 00:14:41.190 Pranav Narahari: Yeah, yeah, I like that.

165 00:14:41.440 00:14:44.709 Casie Aviles: Whatever’s most helpful for… for the…

166 00:14:44.960 00:14:47.310 Casie Aviles: Yeah, for Andy, for making sure that

167 00:14:47.560 00:14:50.129 Casie Aviles: It’s accurate, you know, and

168 00:14:51.470 00:14:57.069 Casie Aviles: Yeah, basically. And what we did before was we built, like, a golden…

169 00:14:57.510 00:15:08.100 Casie Aviles: dataset that does the… so basically, we check The ideal output against the actual output.

170 00:15:09.300 00:15:14.329 Casie Aviles: I think that it’s this one, but it’s really… it’s old now, so…

171 00:15:15.430 00:15:21.800 Casie Aviles: This is also just something that you can take a look at how we did before, how we did it before, but…

172 00:15:21.800 00:15:24.449 Pranav Narahari: Okay, would this also give me, like, a bunch of…

173 00:15:24.720 00:15:31.630 Pranav Narahari: Prompts that, like, maybe are, like, 90% of, like, the type of prompts that they would ask?

174 00:15:31.800 00:15:40.009 Pranav Narahari: just, like, I kind of get an understanding of, like, what are the questions that they’re asking, because I feel like whatever framework we come up with has to be tied

175 00:15:40.450 00:15:43.370 Pranav Narahari: Closely to, like, the type of questions that they’re asking.

176 00:15:43.750 00:15:51.119 Casie Aviles: Yeah, definitely. So right now, I think this is a bit outdated, because this has been, I think…

177 00:15:51.460 00:15:54.419 Casie Aviles: From last year, early last year, so…

178 00:15:54.760 00:16:05.319 Pranav Narahari: Gotcha. So they’re using, like, right now, within… in that Google workspace, right, they’re using, like, that chatbot. Would that be, like, kind of the best way for me to, like, see, like.

179 00:16:05.470 00:16:07.360 Pranav Narahari: What type of questions they’re asking?

180 00:16:08.620 00:16:16.389 Casie Aviles: Over here, what you can see here is just our chat history. This is our conversation. So.

181 00:16:16.590 00:16:17.670 Casie Aviles: Oh, okay, okay.

182 00:16:18.180 00:16:24.189 Casie Aviles: I think that me… Mustafa worked on that one. He created, like, a table.

183 00:16:24.610 00:16:26.870 Casie Aviles: I’m not sure which table was that.

184 00:16:28.000 00:16:31.279 Casie Aviles: I think it might be, error logs.

185 00:16:32.870 00:16:39.189 Casie Aviles: But this is more… more… this is just, like, a subset, you know, of the questions that were…

186 00:16:39.380 00:16:43.160 Casie Aviles: Being asked, and these were, like, being tagged as errors, so…

187 00:16:43.450 00:16:48.889 Casie Aviles: I guess if you want a more complete look into the kinds of questions.

188 00:16:49.010 00:16:52.199 Casie Aviles: It’s currently in our Snowflake,

189 00:16:52.780 00:16:55.319 Casie Aviles: But I can, I can provide, like.

190 00:16:56.800 00:17:00.980 Casie Aviles: Maybe a CSV export, if it’s easier.

191 00:17:02.010 00:17:05.499 Pranav Narahari: Oh yeah, that would be amazing, if that’s, like, something you could easily do.

192 00:17:06.310 00:17:09.179 Casie Aviles: Yeah, I think that that’s going to be… oh my god.

193 00:17:09.599 00:17:16.669 Casie Aviles: Yeah, but it’s basically just in a snowflake table, and that’s where Mustafa also pulled it.

194 00:17:16.790 00:17:20.739 Casie Aviles: Pulled… yeah, pulled the, logs from…

195 00:17:21.849 00:17:28.620 Casie Aviles: So, yeah, I’ll make sure to give you that, if you don’t have access yet to Snowflake.

196 00:17:29.850 00:17:32.669 Pranav Narahari: I’ll just send you these links.

197 00:17:33.290 00:17:34.350 Casie Aviles: I survive.

198 00:17:40.360 00:17:53.470 Casie Aviles: Okay, yeah, I think that’s pretty much it. I haven’t found whether we did a Notion doc on this, but I’ll also make sure to send that to you if I find it, or if it exists.

199 00:17:54.290 00:17:55.540 Pranav Narahari: Yeah, that’d be great.

200 00:17:56.960 00:18:02.599 Casie Aviles: Okay, I think… I think that’s… I’m not sure if that’s, all, but…

201 00:18:02.600 00:18:05.630 Pranav Narahari: That seems pretty good for me right now, like, especially…

202 00:18:05.800 00:18:13.960 Pranav Narahari: there’s probably a ton of stuff for me to just, like, understand the project itself, but I don’t think I need that as of right now, just to finish up this ticket.

203 00:18:14.080 00:18:22.939 Pranav Narahari: Yeah, maybe we can have another sync on that, like, either later this week or next week, because I know it’s, like, this week is kind of, like, Lilo-heavy, so…

204 00:18:22.940 00:18:23.440 Casie Aviles: Yeah.

205 00:18:23.440 00:18:28.279 Pranav Narahari: I might just focus on that, and then trying… and then finishing up this ticket here, and then…

206 00:18:28.720 00:18:31.520 Pranav Narahari: Next, what I could do is, like, really, like.

207 00:18:32.130 00:18:35.490 Pranav Narahari: sync on the entire project for ABC.

208 00:18:36.070 00:18:44.160 Casie Aviles: Sure, yeah, okay, yeah, we could just focus on just, you know, only low, and then… but, yeah, this wouldn’t be, like.

209 00:18:44.320 00:18:48.290 Casie Aviles: Too heavy, it’s just, you know, some… Opaque.

210 00:18:49.060 00:18:49.610 Pranav Narahari: Yep.

211 00:18:50.090 00:18:50.900 Pranav Narahari: Alright, perfect.

212 00:18:50.900 00:18:52.200 Casie Aviles: I think that’s about it.

213 00:18:52.810 00:18:55.140 Pranav Narahari: Cool. Yeah, awesome. Thanks, Casey.

214 00:18:55.360 00:18:57.840 Casie Aviles: Alright, thank you as well.

215 00:18:58.060 00:19:02.200 Casie Aviles: I’ll just chat, you guys later if I need anything else.

216 00:19:02.580 00:19:04.079 Pranav Narahari: Totally, yeah, reach out whenever.

217 00:19:04.970 00:19:06.210 Casie Aviles: Alright, thank you.

218 00:19:06.960 00:19:07.800 Pranav Narahari: Yep, see ya.