Meeting Title: Internal AI Team | Standup Date: 2025-04-04 Meeting participants: Miguel De Veyra, Casie Aviles, Amber Lin


WEBVTT

1 00:00:49.490 00:00:50.480 Miguel de Veyra: What’s up?

2 00:00:52.640 00:00:55.170 Casie Aviles: Hey, ABC?

3 00:00:58.960 00:01:00.160 Casie Aviles: Well, none of my issue

4 00:01:07.120 00:01:08.810 Amber Lin: Hello!

5 00:01:09.500 00:01:10.080 Casie Aviles: Hey! Amber.

6 00:01:10.820 00:01:13.169 Amber Lin: Hello! How’s everything?

7 00:01:15.840 00:01:22.519 Miguel de Veyra: Yeah, doing? Okay? We updated with them yesterday about the progress and stuff

8 00:01:22.520 00:01:24.490 Amber Lin: Hmm, yeah. And so

9 00:01:25.589 00:01:30.980 Amber Lin: I know Patrick got back to us, so you will be helping out as well

10 00:01:35.900 00:01:37.700 Miguel de Veyra: Oh, yeah, I think items.

11 00:01:39.480 00:01:40.679 Casie Aviles: Will Patrick be joining

12 00:01:42.800 00:01:45.439 Amber Lin: Don’t think so. But

13 00:01:45.590 00:01:54.150 Amber Lin: I think we can definitely just text him, because I think the discussion with him is probably gonna be more than 15 min. So it’s okay.

14 00:01:54.150 00:01:54.590 Casie Aviles: Yeah.

15 00:01:57.430 00:01:59.500 Amber Lin: Yeah. Let’s see, progress on everything.

16 00:02:00.300 00:02:06.010 Casie Aviles: Okay, but I guess for the internal stuff, I mean, I could start with.

17 00:02:06.230 00:02:08.479 Casie Aviles: Wait, wait, let me share my screen.

18 00:02:12.180 00:02:19.626 Casie Aviles: But yeah, so just to summarize, I guess. Yeah. Autumn also asked us for progress yesterday, and

19 00:02:20.850 00:02:29.640 Casie Aviles: essentially, what we showed him was, I mean, I the tick. Some of the tasks that we did were not exactly following the ticket, since we were kind of

20 00:02:29.870 00:02:32.499 Casie Aviles: blocked with the requirements in review, so

21 00:02:32.650 00:02:38.430 Casie Aviles: he told us, when he was checking the the task. It looked like there was no movement.

22 00:02:39.000 00:02:47.940 Casie Aviles: So but yeah, we did show him that we did finish. We did have the automation right for zoom the incoming messages. So

23 00:02:48.400 00:02:52.980 Casie Aviles: we showed him that it’s on S 3. And then, right now I’m

24 00:02:54.433 00:03:00.430 Casie Aviles: also working on the bulk transfer. This is gonna this is going to be long, I think.

25 00:03:00.550 00:03:06.120 Casie Aviles: because this is manual. That’s why I’m looking for like other tools.

26 00:03:06.520 00:03:06.870 Amber Lin: Oh!

27 00:03:06.870 00:03:09.169 Casie Aviles: Should expedite this process

28 00:03:09.580 00:03:10.000 Amber Lin: Okay.

29 00:03:10.230 00:03:18.840 Casie Aviles: Yeah. So this is one thing i 1 1 tool I found. But I haven’t really tried it. So that’s something I can also check out. But for the meantime.

30 00:03:19.110 00:03:20.768 Casie Aviles: I I just, you know,

31 00:03:21.230 00:03:27.539 Casie Aviles: I just I’m just gonna let this finish for now. But yeah, while that’s finishing, I will look at other tools.

32 00:03:29.130 00:03:37.239 Casie Aviles: And then what else for the internal? Oh, and also one of the things that we’re not on the tickets that we decided to just work on instead of being blocked, was

33 00:03:37.730 00:03:40.369 Casie Aviles: with polytomic. Yeah? And

34 00:03:40.370 00:03:41.040 Amber Lin: Okay.

35 00:03:41.290 00:03:45.599 Casie Aviles: And this is one of utam suggestions that if we’re being blocked by Dlt Hub.

36 00:03:46.430 00:03:54.070 Casie Aviles: we should just go use polytonic. So we we did try it with with slack

37 00:03:55.290 00:04:03.450 Casie Aviles: Yeah. So here over here, this is the configuration that I set up for. So basically, what this does is it takes some data

38 00:04:03.650 00:04:09.339 Casie Aviles: from slack, and transfers that to the database snowflake in bulk. So

39 00:04:10.490 00:04:11.390 Amber Lin: Great

40 00:04:11.580 00:04:14.500 Casie Aviles: Yeah, that’s what we did yesterday.

41 00:04:15.080 00:04:18.760 Casie Aviles: Pretty much. Did I miss anything, Miguel? Or

42 00:04:19.459 00:04:22.669 Miguel de Veyra: Oh, wait! Let me check the message I sent to them

43 00:04:23.600 00:04:24.619 Casie Aviles: Oh, okay. Sure.

44 00:04:26.490 00:04:31.389 Miguel de Veyra: We can. Oh, wait, give me a moment. What did I send?

45 00:04:32.500 00:04:35.080 Miguel de Veyra: Is it? Oh, yeah, basically

46 00:04:35.980 00:04:41.290 Miguel de Veyra: main property. And then I think the only other thing that we forgot to mention was.

47 00:04:41.410 00:04:55.200 Miguel de Veyra: since we’re blocked with Dlt. I’m not sure sorry it’s because I was reading something, but since we’re blocked with Dlt. We still have the automations from zoom to S. 3 running amber, though it’s not in Dlt. It’s in a custom script

48 00:04:57.720 00:05:00.880 Miguel de Veyra: So everything should be fine, because I suggested that, you know.

49 00:05:01.290 00:05:06.280 Miguel de Veyra: for just get something working now and then, while you know, while

50 00:05:06.990 00:05:16.050 Miguel de Veyra: basically, while waiting for the dlt solution. At least, something is running right. So we don’t have to keep uploading stuff later on.

51 00:05:16.860 00:05:17.420 Amber Lin: Okay.

52 00:05:17.560 00:05:18.930 Miguel de Veyra: We can just update it.

53 00:05:19.610 00:05:20.600 Amber Lin: Sounds good

54 00:05:23.470 00:05:26.160 Miguel de Veyra: But yeah, that is pretty much it

55 00:05:26.940 00:05:36.080 Amber Lin: That’s great. How do you think we’re with the progress? So with the things we wanted to get done? Are we on good track for that

56 00:05:37.420 00:05:38.700 Miguel de Veyra: Yeah.

57 00:05:38.900 00:05:46.789 Miguel de Veyra: I think so, because zoom is technically working, we just need to load it to super base. I believe that’s going to be on the next sprint.

58 00:05:47.040 00:05:49.940 Miguel de Veyra: I mean, next cycle, I believe.

59 00:05:51.050 00:05:51.940 Miguel de Veyra: So. Yeah.

60 00:05:51.940 00:05:53.410 Amber Lin: To sorry

61 00:05:53.410 00:05:53.860 Miguel de Veyra: And she

62 00:05:54.980 00:05:56.179 Amber Lin: To do what

63 00:05:56.680 00:06:01.010 Miguel de Veyra: The the cause right now the zoom stuff is in in S 3

64 00:06:01.340 00:06:03.870 Miguel de Veyra: steps would be to move it to either

65 00:06:03.970 00:06:07.159 Miguel de Veyra: it superbase and vectorize it and then to snowflake

66 00:06:08.310 00:06:09.210 Amber Lin: I see.

67 00:06:12.560 00:06:18.849 Amber Lin: I mean, so sorry. This is very, very technical. So I’m trying to wrap

68 00:06:19.540 00:06:23.849 Amber Lin: around what you guys are doing. Essentially, it’s just that. Oh.

69 00:06:24.410 00:06:29.729 Amber Lin: we just want to show some progress. But as long as you guys think we’re on a good track

70 00:06:29.730 00:06:30.070 Miguel de Veyra: Yes.

71 00:06:30.080 00:06:34.270 Amber Lin: Happy with the tickets we’re we’re showing him.

72 00:06:34.370 00:06:36.209 Amber Lin: Then we’ll be fine

73 00:06:36.530 00:06:41.130 Miguel de Veyra: Yeah, To summarize it, I guess. Sorry for being good for explaining it, and

74 00:06:41.900 00:06:54.509 Miguel de Veyra: to summarize it ideally next week. What would be, I would say, for a challenge for me and Casey would be, we want it on Super base, not even Snowflake, you know. We can ditch snowflake, for now.

75 00:06:54.800 00:06:58.770 Miguel de Veyra: because once it’s in super base, then we can create an agent that can use it

76 00:07:00.110 00:07:07.730 Miguel de Veyra: So I get like, you know, I would say, let’s build the analytics later. And just focus on just the product first, st

77 00:07:08.060 00:07:09.480 Miguel de Veyra: right? So that’s

78 00:07:09.480 00:07:10.330 Casie Aviles: Foundations.

79 00:07:10.330 00:07:12.099 Miguel de Veyra: She had a foundation 1st

80 00:07:12.350 00:07:26.990 Miguel de Veyra: cause. Once we get like cause we’re it’s already going to snow to S. 3. The next thing would be to just upload it into super base, which is our vector, embeddings are right knowledge base. So once it’s there, we can, we can do whatever we want.

81 00:07:27.750 00:07:43.539 Miguel de Veyra: basically, you know, create an agent that now that also save solves the problem for Akash and then sorry where they wanna be up to date with everything because that monitors, you know, slack that monitors, the

82 00:07:43.730 00:07:52.920 Miguel de Veyra: basically the Zoom Meetings. And then they can just like, Hey, what’s the latest update it? It solves a lot of problems. So I would I would focus a lot most of our time on that

83 00:07:53.730 00:07:54.450 Amber Lin: Okay.

84 00:07:55.100 00:08:01.950 Amber Lin: So it essentially, what we’re working on is just getting all the context in place

85 00:08:01.950 00:08:04.140 Miguel de Veyra: Yes, yes, probably.

86 00:08:04.460 00:08:08.630 Amber Lin: I see. So that would be mostly next week. I know there’s

87 00:08:08.730 00:08:13.910 Amber Lin: I know. Utam looked over the new tickets I put in linear, and

88 00:08:14.490 00:08:23.410 Amber Lin: if we have any work it won’t be prob it probably won’t be building agents, but most likely just simple stuff. That’s probably gonna

89 00:08:23.630 00:08:41.929 Amber Lin: take some quick automations. But we’ll look over that when we have a longer meeting. I still feel like I need to meet with the product owners 1st to make sure that it. It is what they want. So I’m glad that we have progress on the foundational stuff

90 00:08:42.140 00:08:43.049 Miguel de Veyra: Yep. Yep.

91 00:08:43.059 00:08:44.299 Amber Lin: Yeah, great

92 00:08:45.465 00:08:51.849 Amber Lin: anything we’re gonna work on for today for that. Or are you guys done for the day?

93 00:08:53.020 00:08:55.410 Miguel de Veyra: I’m way over my hours like I’m already at 50 h.

94 00:08:55.410 00:08:56.740 Miguel de Veyra: Oh, damn!

95 00:08:56.740 00:08:57.890 Miguel de Veyra: Probably not.

96 00:08:58.050 00:09:06.809 Amber Lin: Great. And you guys don’t have to go to the the demo with with ABC.

97 00:09:06.950 00:09:08.859 Miguel de Veyra: Yeah, I don’t think we’re even invited anymore.

98 00:09:09.620 00:09:13.919 Amber Lin: No, I I did remove you guys. So you don’t even have to go

99 00:09:14.200 00:09:16.960 Miguel de Veyra: And then what about the one for later

100 00:09:17.370 00:09:17.780 Amber Lin: Oh!

101 00:09:17.780 00:09:19.390 Miguel de Veyra: Ask us to demo something.

102 00:09:20.580 00:09:24.500 Amber Lin: Oh, they! Oh, for the AI team!

103 00:09:24.500 00:09:25.490 Miguel de Veyra: Yes, yes.

104 00:09:25.720 00:09:27.880 Amber Lin: Huh! What can we demo?

105 00:09:28.160 00:09:31.449 Casie Aviles: I think he just wants us to talk about the roadmap

106 00:09:32.270 00:09:34.070 Miguel de Veyra: I’ll share your findings.

107 00:09:35.030 00:09:48.279 Miguel de Veyra: I guess we just tell them what I told them yesterday. Like, Hey, guys, you know, we’re already loading stuff into S. 3. And then we’re we’re currently working on and for Zoom Meetings into S 3 and slack messages.

108 00:09:48.440 00:09:56.300 Miguel de Veyra: So and then maybe note the and the sales team that eventually, you know, it’s gonna help their use case.

109 00:09:56.400 00:09:58.200 Miguel de Veyra: And then we’re going to work on

110 00:09:59.300 00:10:01.809 Miguel de Veyra: basically putting this into something that I,

111 00:10:01.940 00:10:04.530 Miguel de Veyra: some that an agent can use for a rug

112 00:10:05.170 00:10:18.539 Amber Lin: Yeah, I think I can. We can tag team. It all started off a very general stuff, cause a lot of people in our company, especially for from the office and the marketing team. Probably don’t know what you’re talking

113 00:10:18.540 00:10:24.699 Miguel de Veyra: Yeah, I don’t think even the the people in data team kind of understands it. So

114 00:10:25.330 00:10:29.940 Miguel de Veyra: it’s kind of, you know. I wouldn’t want to explain the detail, and then, unless asks

115 00:10:30.690 00:10:33.415 Amber Lin: Yeah, totally. So I would just

116 00:10:34.920 00:10:39.339 Amber Lin: like, I will start it out. I’ll start it out with something basic. And then we can

117 00:10:39.660 00:10:41.559 Miguel de Veyra: Yeah. Let’s see where it goes from. There

118 00:10:41.890 00:10:42.580 Amber Lin: Okay.

119 00:10:42.720 00:10:43.890 Amber Lin: Sounds good.

120 00:10:45.007 00:10:46.909 Miguel de Veyra: Gonna come in the next meeting

121 00:10:47.090 00:10:50.569 Amber Lin: Probably not. He never really comes to these meetings. So let’s just

122 00:10:51.210 00:10:54.420 Amber Lin: like, why don’t we just talk over it really fast?

123 00:10:56.057 00:10:59.259 Miguel de Veyra: Abc Sprint retro was, we’re technically done

124 00:11:00.670 00:11:01.380 Amber Lin: Huh!

125 00:11:01.530 00:11:05.199 Miguel de Veyra: I cause. That’s the next meeting. Right? ABC. Sprint retro

126 00:11:05.350 00:11:06.360 Amber Lin: Yeah, yeah.

127 00:11:07.539 00:11:11.669 Miguel de Veyra: Okay, retro is basically retrospective. Yeah, basically, the week

128 00:11:11.670 00:11:18.570 Amber Lin: Yeah, how? 2 weeks? Because we did in retro last week. So it’s mostly

129 00:11:19.358 00:11:28.080 Amber Lin: we can look at our time. Allocations of, did we over deliver? What do we didn’t do? That great

130 00:11:28.940 00:11:31.290 Miguel de Veyra: Do you wanna jump on that call? Just

131 00:11:31.290 00:11:36.800 Amber Lin: Sure, let’s jump on that so that the zoom doesn’t get confused. So we have a better recording

132 00:11:37.370 00:11:38.639 Miguel de Veyra: Okay. Thanks. Everyone.

133 00:11:38.640 00:11:39.380 Amber Lin: See you there.