Meeting Title: Daily AI Team Sync Date: 2025-02-20 Meeting participants: Janna Wong, Uttam Kumaran, Miguel De Veyra, Casie Aviles


WEBVTT

1 00:05:22.390 00:05:23.140 Uttam Kumaran: Hey, guys.

2 00:05:25.460 00:05:26.079 Miguel de Veyra: Hey! With them!

3 00:05:29.920 00:05:30.490 Casie Aviles: Okay.

4 00:05:38.370 00:05:41.190 Miguel de Veyra: Okay, yeah. So let’s start.

5 00:05:42.010 00:05:52.229 Miguel de Veyra: So I think the big thing, let’s start with ABC, the big thing with ABC is that we can now chat via Google to the bot. So that works. It works kind of the same

6 00:05:52.600 00:05:55.690 Miguel de Veyra: with Slack where you have to target. But

7 00:05:56.160 00:06:03.379 Miguel de Veyra: I think Jana had to add some stuff around where they have. You have to add the email in Google, I think it’s just their off stuff.

8 00:06:04.040 00:06:06.620 Miguel de Veyra: But yeah, we’ll document that. And then

9 00:06:07.310 00:06:12.670 Miguel de Veyra: that should be good to go, and should be all on the agent. As for the update on the agent side.

10 00:06:12.790 00:06:21.899 Miguel de Veyra: I cleaned like what data we have yesterday, except for the Ppt. For the Powerpoint. Sorry everything has been cleaned, and we’re they’re all in like

11 00:06:23.420 00:06:25.640 Miguel de Veyra: added it already to the context.

12 00:06:26.200 00:06:31.760 Miguel de Veyra: So, yeah. And then I I also I also saw the the

13 00:06:31.920 00:06:35.199 Miguel de Veyra: one in Snowflake. They have been actively using it.

14 00:06:35.420 00:06:39.319 Miguel de Veyra: So I think, for the update. Tomorrow we should be pretty good.

15 00:06:40.560 00:06:47.940 Uttam Kumaran: Yeah, can I see how the the thing looks in Google Chat? And maybe we can just make sure that I have it. And you, Miguel, have it in your

16 00:06:48.220 00:06:50.840 Uttam Kumaran: in your gmail, so I can start playing around with it.

17 00:06:51.530 00:06:52.309 Miguel de Veyra: Yeah. Here.

18 00:06:53.410 00:06:55.350 Uttam Kumaran: So I can just go into Gmail and see it.

19 00:06:56.544 00:07:00.560 Miguel de Veyra: You have to go to chapter. And then, Jana, can you invite?

20 00:07:00.560 00:07:01.840 Miguel de Veyra: Oh, into this test.

21 00:07:01.840 00:07:07.850 Janna Wong: Yeah, sure. Basically, you can also test it one on one. If you try to click on your chat. Miga.

22 00:07:09.030 00:07:09.549 Miguel de Veyra: You too.

23 00:07:09.550 00:07:10.620 Janna Wong: Oh, yeah.

24 00:07:11.150 00:07:13.029 Janna Wong: And then search for ABC,

25 00:07:13.610 00:07:24.419 Janna Wong: there, you can also try it. Pm, wise, or also the one that’s in our test space. So yeah, you can add autumn there, too.

26 00:07:25.010 00:07:30.030 Miguel de Veyra: Okay, so let’s just try something out.

27 00:07:39.420 00:07:43.280 Miguel de Veyra: We even have sorry I didn’t check rodent in.

28 00:07:43.630 00:07:45.690 Miguel de Veyra: So there is Caleb and Mike.

29 00:07:49.480 00:07:52.290 Miguel de Veyra: Do I still have to tag him here or not. No, not anymore.

30 00:07:52.650 00:07:55.260 Janna Wong: Oh, not anymore. Only in spaces.

31 00:07:55.790 00:07:56.460 Miguel de Veyra: Okay.

32 00:08:02.730 00:08:04.870 Miguel de Veyra: okay, so yeah, that that works.

33 00:08:07.910 00:08:08.800 Janna Wong: All right.

34 00:08:08.900 00:08:12.400 Miguel de Veyra: Autumn do you have? Can you check if you have access to it?

35 00:08:12.720 00:08:18.050 Uttam Kumaran: I do a new chat, but I guess I can type in.

36 00:08:18.460 00:08:20.169 Uttam Kumaran: Oh, ABC, wall, okay, I see that.

37 00:08:20.720 00:08:21.520 Miguel de Veyra: Okay, nice.

38 00:08:22.570 00:08:23.360 Miguel de Veyra: So yeah.

39 00:08:30.760 00:08:39.589 Uttam Kumaran: Nice, I mean dude. Honestly, we should also be able to get the logs probably easier from just Google.

40 00:08:41.950 00:08:43.239 Miguel de Veyra: Instead of snowflake.

41 00:08:43.789 00:08:49.229 Uttam Kumaran: No, no, no meaning like we may not have to go from vellum to.

42 00:08:50.759 00:08:55.339 Uttam Kumaran: and a ton to snowflake. We may be able to go from Google to Snowflake for the chat box.

43 00:08:57.970 00:09:00.210 Miguel de Veyra: Yeah, we could do that, I think.

44 00:09:10.940 00:09:11.940 Miguel de Veyra: But yeah.

45 00:09:12.740 00:09:17.960 Miguel de Veyra: I’ve already like, also messaged them yesterday about the cleanup data. But I think they’re still working on it

46 00:09:18.950 00:09:22.869 Miguel de Veyra: gotten a response, but I don’t expect them to finish it this week, anyways.

47 00:09:23.620 00:09:24.300 Uttam Kumaran: Okay.

48 00:09:25.951 00:09:33.760 Miguel de Veyra: Yeah. And then just a quick peek on these. So this is, kinda wait. Sorry I can’t find it.

49 00:09:35.220 00:09:37.799 Miguel de Veyra: cause I put them in something like this util.

50 00:09:38.720 00:09:49.230 Miguel de Veyra: So this will be. This is currently it’s not yet, you know, all in one document, but just to mimic what will happen in the future is if we go to ABC documents.

51 00:09:50.100 00:09:55.200 Miguel de Veyra: it goes. It already gets it from basically the general and

52 00:09:55.620 00:09:59.552 Miguel de Veyra: residential sops which are basically all the data. I cleaned it up

53 00:10:00.360 00:10:04.879 Miguel de Veyra: each page, one by one. Just so, you know, it could be easier read by the bot.

54 00:10:05.760 00:10:07.080 Miguel de Veyra: So yeah.

55 00:10:07.370 00:10:16.950 Miguel de Veyra: that’s pretty much it. This, make sure this, make sure, right? That you know, everything is always up to date. The context is always, you know, based on the Bible.

56 00:10:17.080 00:10:18.120 Miguel de Veyra: That’s per second.

57 00:10:18.390 00:10:25.069 Miguel de Veyra: So yeah, I think at least for this, we should be pretty good tomorrow, like Demo Wise, I think this week was. You know.

58 00:10:25.370 00:10:27.249 Miguel de Veyra: the progress was really good.

59 00:10:27.630 00:10:33.340 Uttam Kumaran: Yeah, I think progress is really good this week. So yeah, let’s yeah, that’s perfect.

60 00:10:34.020 00:10:36.170 Miguel de Veyra: Were you able to do the

61 00:10:36.850 00:10:38.900 Miguel de Veyra: visualization of the data? Because I think that’s.

62 00:10:38.900 00:10:44.569 Uttam Kumaran: Yeah, I have real. I have real setup. I haven’t pushed the Pr yet. So you can see it in cloud.

63 00:10:44.750 00:10:48.659 Uttam Kumaran: Okay, so that’s on my plate. Still.

64 00:10:48.660 00:10:51.489 Miguel de Veyra: Okay, okay, I’ll just tag this as.

65 00:10:53.490 00:10:54.150 Uttam Kumaran: Yeah, that’s right.

66 00:10:54.150 00:10:57.080 Miguel de Veyra: Based on client land.

67 00:11:04.230 00:11:05.080 Miguel de Veyra: Okay?

68 00:11:05.270 00:11:07.790 Miguel de Veyra: And then this is actually also done.

69 00:11:09.260 00:11:11.560 Miguel de Veyra: not drag anymore, is it context?

70 00:11:16.060 00:11:20.460 Miguel de Veyra: And then testing testing is, yeah, I mean, testing is the only.

71 00:11:20.460 00:11:22.840 Uttam Kumaran: The golden data set. We’re we’re waiting on.

72 00:11:23.240 00:11:24.390 Miguel de Veyra: Them basically.

73 00:11:24.390 00:11:30.430 Uttam Kumaran: We need we probably need some work on running the Evals right.

74 00:11:31.810 00:11:33.030 Miguel de Veyra: Oh, yeah, yeah, yeah.

75 00:11:33.700 00:11:40.380 Miguel de Veyra: But yeah, yeah, we kind of push it back. I’ll probably add something new later, because we wanted to prioritize this for the

76 00:11:40.500 00:11:41.510 Miguel de Veyra: demo tomorrow.

77 00:11:41.510 00:11:42.210 Uttam Kumaran: That’s fine!

78 00:11:43.360 00:11:46.270 Miguel de Veyra: I’ll probably do it here. Evolves.

79 00:11:49.380 00:11:55.750 Miguel de Veyra: Okay, yeah, I think that’s pretty much it for this one. Do you have any more questions so we can pursue to Junior Pm.

80 00:11:56.130 00:11:57.159 Uttam Kumaran: I think that’s it.

81 00:11:57.360 00:11:58.060 Miguel de Veyra: Okay.

82 00:11:58.939 00:12:00.910 Miguel de Veyra: Casey, do you want to take it from here?

83 00:12:01.500 00:12:06.709 Casie Aviles: Yeah, sure. Okay, so yeah, let me just share.

84 00:12:09.080 00:12:12.769 Casie Aviles: So yesterday I’m I was more focused on

85 00:12:12.940 00:12:18.020 Casie Aviles: testing out a ticket here. So I added a couple of changes. But

86 00:12:18.440 00:12:26.789 Casie Aviles: so yeah, the 1st thing I’m trying to do is to implement threading, because one of the issues I found with the bot is

87 00:12:27.874 00:12:34.079 Casie Aviles: throughout the conversation. Sometimes it forgets who the assignee is. So that’s 1 of the reasons why it’s

88 00:12:35.410 00:12:36.570 Casie Aviles: misassigning.

89 00:12:37.210 00:12:39.930 Casie Aviles: So I tried to implement that

90 00:12:40.100 00:12:44.929 Casie Aviles: so and then, additionally, there’s also the

91 00:12:45.300 00:12:50.450 Casie Aviles: property, the one where we, the bot, is able to assign the property.

92 00:12:51.640 00:12:55.545 Casie Aviles: And yeah, so those are the changes that I’ve

93 00:12:56.150 00:13:05.499 Casie Aviles: implemented for ticket here. But I’m I still want to keep testing, because I’m not very confident with the quality yet, because, as you can see, there are a lot of errors.

94 00:13:05.870 00:13:06.410 Uttam Kumaran: Okay.

95 00:13:06.990 00:13:14.050 Casie Aviles: Yeah. So and then also, one of the things I also tried to do was for the Dms.

96 00:13:14.300 00:13:21.379 Casie Aviles: Think we could like one of Nico’s asks was to if if we could have the ticket here.

97 00:13:23.300 00:13:29.529 Casie Aviles: if you could interact with the ticket here, via, DM, so yeah, that’s also one of the things I was testing over years.

98 00:13:30.080 00:13:33.679 Casie Aviles: Yeah, so, but yeah, the quality is still not very.

99 00:13:33.790 00:13:35.750 Casie Aviles: I’m not super confident yet. So

100 00:13:36.320 00:13:38.779 Casie Aviles: and also I started to log

101 00:13:39.380 00:13:44.170 Casie Aviles: the interactions I have for ticket here, so it should be on Snowflake.

102 00:13:44.330 00:13:49.280 Casie Aviles: at least for ticket here only the other agents not yet.

103 00:13:51.248 00:13:54.120 Miguel de Veyra: The chief static we tried doesn’t, didn’t work.

104 00:13:54.600 00:13:55.280 Casie Aviles: Sorry.

105 00:13:55.280 00:14:00.590 Miguel de Veyra: Where you have to clarify the user, everything and that didn’t work.

106 00:14:01.390 00:14:02.230 Casie Aviles: Oh.

107 00:14:02.640 00:14:09.700 Casie Aviles: yeah, I mean, it’s not asking for for the user. So based on my test so far. So I still want to keep testing.

108 00:14:10.690 00:14:15.049 Uttam Kumaran: Okay, I’m considering moving engineering over to linear

109 00:14:17.740 00:14:26.220 Uttam Kumaran: which I could have. I should have maybe considered doing earlier. But I wanted to keep everything in notion. But I’m starting to get a little frustrated with

110 00:14:27.070 00:14:30.319 Uttam Kumaran: I don’t think the engineers on the data side are like

111 00:14:31.010 00:14:35.549 Uttam Kumaran: happy with sort of how notion is organized really, clearly.

112 00:14:35.955 00:14:40.090 Uttam Kumaran: which isn’t like a fault of ours. It’s just there’s a lot in there.

113 00:14:40.390 00:14:46.609 Uttam Kumaran: So I may consider linear linear has really, really great Apis to do every single thing.

114 00:14:46.790 00:14:49.729 Uttam Kumaran: so it may make this process a little bit easier.

115 00:14:51.630 00:14:54.760 Uttam Kumaran: But no promises. I have to test it out later this month.

116 00:14:55.250 00:14:59.270 Miguel de Veyra: Okay, okay, so should just continue working on the notion stuff. For now.

117 00:14:59.270 00:15:05.820 Uttam Kumaran: Let’s continue, because it’ll it’ll it’ll continue to leverage the logic. But I also want to find a good place to stop on this.

118 00:15:05.950 00:15:10.730 Uttam Kumaran: because we have other stuff that I wanna continue to work on like

119 00:15:10.830 00:15:20.669 Uttam Kumaran: I was almost gonna ask Casey if you have time this weekend or something, because I do want to. I do want to see how I can onboard onto the

120 00:15:20.820 00:15:26.689 Uttam Kumaran: like sales, hub or client hub for one of our clients.

121 00:15:27.220 00:15:34.380 Uttam Kumaran: That has a ton of like. I have a ton of transcripts repos code that I want to throw in somewhere.

122 00:15:34.990 00:15:45.599 Uttam Kumaran: But like I would, I don’t know. I needed to interact with Github. I needed to pull from drive like, and then basically give me just like a open chat bot on all of that.

123 00:15:45.780 00:15:46.300 Miguel de Veyra: Oh, yeah.

124 00:15:47.080 00:15:50.610 Miguel de Veyra: I was creating one like that for ABC.

125 00:15:50.900 00:15:55.680 Uttam Kumaran: I mean, it’s basically the ABC work minus, like.

126 00:15:56.350 00:16:00.833 Uttam Kumaran: I mean, it’s just minus some complication, like, there’s, you know,

127 00:16:04.090 00:16:04.810 Casie Aviles: Okay.

128 00:16:05.200 00:16:12.650 Uttam Kumaran: But I don’t know. I really like I’m using. I’m just throwing everything into an O 3 session in chat, like in in Chat. Gbt, so

129 00:16:14.280 00:16:18.669 Uttam Kumaran: it’s a it’s not like the best ui, and I can’t put in like code and stuff.

130 00:16:24.640 00:16:30.319 Casie Aviles: Okay, yeah, yeah, I mean, yeah, I could. I could take. I could. I could work on it this weekend.

131 00:16:31.020 00:16:34.560 Uttam Kumaran: It’s fine, if not, but I just I guess my point was like, I want to.

132 00:16:35.370 00:16:41.710 Uttam Kumaran: We’re we’re spending a lot of time on ticket here. I wanna I like I I wanna find a place where we can

133 00:16:41.970 00:16:45.430 Uttam Kumaran: if we if if we’re like, hey, it’s gonna get limited by notion.

134 00:16:45.580 00:16:51.469 Uttam Kumaran: But I want to know that otherwise I I want to know if we can also work on a few other things.

135 00:16:52.110 00:16:54.750 Uttam Kumaran: That I need some help with.

136 00:16:55.060 00:16:59.809 Uttam Kumaran: I know the the Pm. Okr. Is still there. But if if notion is a limitation, then

137 00:16:59.960 00:17:01.950 Uttam Kumaran: that’s a different story than like.

138 00:17:02.710 00:17:04.690 Uttam Kumaran: okay, this should all be done in like a week.

139 00:17:06.190 00:17:07.800 Miguel de Veyra: Yeah, makes sense.

140 00:17:09.140 00:17:11.131 Uttam Kumaran: So just think about it a little bit.

141 00:17:11.550 00:17:16.980 Uttam Kumaran: but yeah, I want to start being able to leverage a sales hub for all of our clients

142 00:17:17.349 00:17:22.109 Uttam Kumaran: which ideally, I think it should use some of the work that we did for ABC. But,

143 00:17:23.390 00:17:34.489 Uttam Kumaran: I want to start to get that going, because we even have new employees starting who don’t know where to start. And I want them to use that chat bot to sort of understand the state of different clients

144 00:17:34.810 00:17:37.340 Uttam Kumaran: right now. They’re relying on notion, and it’s like

145 00:17:37.510 00:17:46.150 Uttam Kumaran: the reason I wanted to do the chat bots is because documentation is is impossible to maintain. So I want to even avoid doing documentation

146 00:17:46.620 00:17:54.560 Uttam Kumaran: and have everything just in a drive right? And we’re starting to hit that need right now, because we’re onboarding one person on data every week, basically.

147 00:17:56.520 00:17:59.769 Uttam Kumaran: And everyone has questions because of how shit our documentation is.

148 00:18:01.130 00:18:03.359 Uttam Kumaran: And I’m like fuck. I don’t wanna like

149 00:18:03.610 00:18:06.450 Uttam Kumaran: my only other option is to

150 00:18:08.150 00:18:13.769 Uttam Kumaran: my only other option is to right documentation. You know.

151 00:18:17.090 00:18:18.310 Casie Aviles: Yeah, I think

152 00:18:18.560 00:18:24.599 Casie Aviles: right now, we’re at where we have more advancements. We were able to figure out more stuff. So I think.

153 00:18:25.170 00:18:30.219 Casie Aviles: yeah, like with with pulling data from various sources. So I think it’s going to be more.

154 00:18:31.470 00:18:37.269 Casie Aviles: yeah, we have a I guess I have a better idea how to approach it now, because the the initial one was.

155 00:18:38.020 00:18:43.239 Casie Aviles: Yeah, I’m not too satisfied either with the 1st version.

156 00:18:43.660 00:18:50.430 Casie Aviles: the Stella sales hub. So yeah, I think. Yeah, we could leverage more some of the new stuff I’ve we’ve

157 00:18:51.250 00:18:55.800 Casie Aviles: established like with the zoom summaries. So I’m also actually sending

158 00:18:56.400 00:19:01.539 Casie Aviles: some of the summaries. I, I mean the summaries to the to super base. So

159 00:19:01.700 00:19:06.179 Casie Aviles: yeah, I think I have a vector store for that. But it’s not being used currently. So

160 00:19:07.345 00:19:10.810 Casie Aviles: we could use, like, yeah, we could start using it for.

161 00:19:14.210 00:19:20.290 Casie Aviles: And also the notion notion one that Miguel mean, okay, yeah.

162 00:19:20.430 00:19:23.860 Miguel de Veyra: Maybe even put it into context again instead of rag.

163 00:19:24.200 00:19:25.570 Uttam Kumaran: Yeah, exactly. Like.

164 00:19:25.570 00:19:26.769 Casie Aviles: Oh, yeah. In Germany.

165 00:19:27.580 00:19:28.300 Uttam Kumaran: Yeah.

166 00:19:31.450 00:19:32.490 Miguel de Veyra: Okay, yeah.

167 00:19:33.910 00:19:39.429 Miguel de Veyra: But yeah, let’s discuss, I guess tomorrow or next week more on it, like Monday.

168 00:19:39.970 00:19:42.619 Uttam Kumaran: So we can rearrange some priorities.

169 00:19:43.280 00:19:44.020 Miguel de Veyra: Okay.

170 00:19:44.350 00:19:45.219 Miguel de Veyra: But yeah.

171 00:19:48.300 00:19:52.850 Miguel de Veyra: I think that’s pretty much it Utam. Do you have any more questions.

172 00:19:54.252 00:19:55.310 Uttam Kumaran: No, that’s it.

173 00:19:55.750 00:19:58.890 Miguel de Veyra: Okay, yeah, I think that’s pretty much it on my end.

174 00:19:59.050 00:20:01.830 Casie Aviles: Yeah, there’s also just this, the zoom part. So.

175 00:20:01.830 00:20:02.430 Uttam Kumaran: Oh, yeah.

176 00:20:03.410 00:20:04.370 Miguel de Veyra: Oh!

177 00:20:04.530 00:20:08.710 Casie Aviles: Yeah, right now, I just created these folders. There are some that I

178 00:20:08.900 00:20:10.899 Casie Aviles: I’m not sure yet where to put.

179 00:20:11.080 00:20:15.449 Casie Aviles: But yeah. And also, I guess another one thing to work on is

180 00:20:16.180 00:20:18.760 Casie Aviles: to update the automation. So it

181 00:20:19.110 00:20:25.239 Casie Aviles: automatically, like, you know, category puts them in the right folder. So right now, it’s not possible yet. And

182 00:20:25.410 00:20:26.900 Casie Aviles: yeah, so.

183 00:20:26.900 00:20:32.330 Uttam Kumaran: Yeah, I guess, Miguel. I guess. Question for you. I’m I’m sort of trying to figure out how we can

184 00:20:32.740 00:20:39.759 Uttam Kumaran: star tooths also save metadata associated with each of these videos like

185 00:20:40.710 00:20:50.169 Uttam Kumaran: like a list of Who’s in the meeting what the title was. What was talked about. The category like that needs to probably be saved in the table.

186 00:20:50.300 00:20:53.260 Uttam Kumaran: Maybe it’s in Snowflake, like

187 00:20:55.460 00:20:58.900 Uttam Kumaran: I don’t know. What do you think like? Maybe we should shove all that to Snowflake, too?

188 00:21:01.005 00:21:05.680 Miguel de Veyra: Yeah. And then we can just pull it and then put it into some type of content.

189 00:21:05.680 00:21:11.320 Uttam Kumaran: The only thing is like the snowflake table may not have the lit like, I don’t know.

190 00:21:12.100 00:21:15.919 Uttam Kumaran: The problem with Google drive is like you can keep moving stuff around.

191 00:21:17.498 00:21:23.380 Uttam Kumaran: So I don’t know whether like that snowflake table should have the link to this or not.

192 00:21:30.760 00:21:31.779 Uttam Kumaran: I don’t know.

193 00:21:35.530 00:21:38.240 Miguel de Veyra: I think I gotta. I guess. Let’s start with something small.

194 00:21:38.500 00:21:40.539 Miguel de Veyra: and then let’s try the snowflake approach.

195 00:21:41.870 00:21:48.410 Uttam Kumaran: Yeah, I guess Casey could, for for all meetings could we start to create a table that just has.

196 00:21:49.010 00:21:49.530 Miguel de Veyra: Yeah.

197 00:21:49.530 00:21:52.869 Uttam Kumaran: All the metadata, including some AI metadata.

198 00:21:53.300 00:21:58.260 Uttam Kumaran: And if you want to work on a ticket for this, I can help you fill out what columns we would want.

199 00:21:58.530 00:22:05.439 Uttam Kumaran: But we we at least want to know, like the meeting, the date, the title, who was in it, the category.

200 00:22:05.580 00:22:10.539 Uttam Kumaran: And then we wanna have the summary and the trans. The full transcript in there also.

201 00:22:10.750 00:22:11.905 Miguel de Veyra: And then some tags.

202 00:22:13.450 00:22:17.049 Uttam Kumaran: Yeah, I don’t know, like, I just don’t know whether.

203 00:22:20.530 00:22:24.000 Uttam Kumaran: Yeah, like I, something like that would be great.

204 00:22:25.120 00:22:27.840 Casie Aviles: Okay, yeah, I can set that up.

205 00:22:28.730 00:22:31.510 Uttam Kumaran: And then we’ll figure out next how we can actually

206 00:22:31.650 00:22:36.790 Uttam Kumaran: create a fixed store for these videos like whether that’s in S 3 or

207 00:22:37.840 00:22:44.399 Uttam Kumaran: someplace else, because I had just have a feeling that if we keep moving these videos around, nobody’s gonna know where to find them.

208 00:22:45.310 00:22:52.320 Uttam Kumaran: So it could be nice for people to just go in like a dashboard and see what the video is and find the link really easily.

209 00:22:52.460 00:22:53.948 Uttam Kumaran: But I don’t know.

210 00:22:54.510 00:23:00.530 Uttam Kumaran: All I know is we the nice? We have all the videos in one place now, so we can keep reorganizing as we need.

211 00:23:02.510 00:23:08.549 Casie Aviles: Yeah, yeah, also, unfortunately, we can’t really transfer this to loom.

212 00:23:09.260 00:23:13.299 Uttam Kumaran: Yeah, dude sucks like, why doesn’t loom have Api? It’s horrible.

213 00:23:13.600 00:23:14.520 Casie Aviles: Yeah.

214 00:23:20.050 00:23:28.620 Casie Aviles: Okay. Yeah. Oh, I’ll start with just the tables here on Snowflake. Then think of him.

215 00:23:34.030 00:23:38.040 Miguel de Veyra: Yeah, let’s maybe hop on a call. No, no, I’ll finish up the

216 00:23:38.530 00:23:44.549 Miguel de Veyra: stuff for ABC. Tomorrow, moving the Powerpoints, maybe tomorrow, after the ABC. Call.

217 00:23:44.810 00:23:53.620 Uttam Kumaran: Yeah, I’m down to even hop on. I’m down to even hop on early tomorrow, like even earlier. And we can run through a demo for the ABC. Call, too.

218 00:23:54.720 00:23:55.770 Miguel de Veyra: Okay. Sure.

219 00:23:56.150 00:23:58.430 Uttam Kumaran: That could be nice. So we can start preparing.

220 00:23:58.430 00:24:05.510 Miguel de Veyra: Yeah, I’ll finish it up first, st and then Casey, let’s discuss this new stuff, I guess, after the call, or maybe even next week.

221 00:24:06.960 00:24:07.640 Casie Aviles: Okay.

222 00:24:09.700 00:24:10.920 Miguel de Veyra: Okay. Thanks. Everyone.

223 00:24:11.780 00:24:12.920 Uttam Kumaran: Okay. Thank you.

224 00:24:13.070 00:24:13.950 Miguel de Veyra: Thank you. Thank you.

225 00:24:14.400 00:24:15.080 Casie Aviles: Thank you.