Meeting Title: Magic Spoon — Brainforge sync Date: 2026-02-06 Meeting participants: Demilade Agboola, Mary Burke, Michael Thorson, Justin Tabarini, Ashwini Sharma


WEBVTT

1 00:00:18.790 00:00:19.729 Michael Thorson: Good evening.

2 00:00:23.490 00:00:24.190 Justin Tabarini: Hey, y’all.

3 00:00:25.820 00:00:26.720 Demilade Agboola: Michael.

4 00:00:26.940 00:00:30.289 Demilade Agboola: Hi, JT. Hi, Mary. How’s everyone doing?

5 00:00:31.360 00:00:32.560 Mary Burke: Good, how are you?

6 00:00:32.759 00:00:38.119 Demilade Agboola: I’m doing alright. I have a bit of a cough, but other than that, I’m fine. Doing great.

7 00:00:38.890 00:00:39.980 Demilade Agboola: Sorry to hear that.

8 00:00:39.980 00:00:41.100 Justin Tabarini: Yeah, that’s fun.

9 00:00:41.940 00:00:43.489 Demilade Agboola: That’s all good.

10 00:00:44.160 00:00:47.910 Demilade Agboola: Will Josh be joining, or should we go ahead?

11 00:00:48.920 00:00:52.419 Mary Burke: I’m not sure if he’s joining, he probably will if he’s available, but we can get started.

12 00:00:52.610 00:00:53.660 Demilade Agboola: Okay, alright.

13 00:00:54.850 00:00:56.549 Demilade Agboola: Give me a second…

14 00:01:06.600 00:01:07.310 Demilade Agboola: Okay.

15 00:01:10.030 00:01:11.650 Demilade Agboola: Alright, so this week.

16 00:01:14.830 00:01:20.869 Demilade Agboola: There are two main, like, in terms of our work stream and what we’ve done.

17 00:01:21.410 00:01:30.250 Demilade Agboola: I think the, like, the data audits in terms of the audit part is done. The MMM data amount is in progress. Spins pipeline is also in progress.

18 00:01:30.810 00:01:35.720 Demilade Agboola: So we’re gonna just kind of, like, update, like, what has been done so far.

19 00:01:36.770 00:01:44.150 Demilade Agboola: So right now, we’re going to have to change the approach to the Spain’s data, based off a call yesterday with the Spain’s team.

20 00:01:44.600 00:01:51.080 Demilade Agboola: So right now, the credits have been sent over. I know, like, as we speak, Ashwin is currently, like, working on it.

21 00:01:51.380 00:02:02.120 Demilade Agboola: So the pipeline will just be basically, from Spin’s API, it would hit, S3, and then from S3, we’ll load it into Redshift.

22 00:02:03.020 00:02:08.230 Demilade Agboola: And we will then QA that to be sure that that flow works,

23 00:02:08.550 00:02:14.399 Demilade Agboola: And we don’t have as many, like, lost pieces of data as we do now, like, lost bits of data.

24 00:02:14.560 00:02:16.180 Demilade Agboola: As we currently do.

25 00:02:16.400 00:02:23.010 Demilade Agboola: So that would be, that, and once we have that done, it’s basically…

26 00:02:23.870 00:02:27.749 Demilade Agboola: This end will basically be done. We can have it start running.

27 00:02:28.310 00:02:31.969 Demilade Agboola: And we will be done with… likely done with spins.

28 00:02:32.800 00:02:36.460 Demilade Agboola: Do we have any, like, questions, feedback, or anything around this?

29 00:02:39.060 00:02:40.080 Mary Burke: None for me.

30 00:02:42.160 00:02:45.549 Michael Thorson: Just… wanna understand the,

31 00:02:46.760 00:02:52.270 Michael Thorson: or the average ACV, like, how those calcs looked, I think that’s the biggest piece that’s…

32 00:02:55.780 00:03:01.900 Demilade Agboola: So, in terms of, like, the… like, in mapping ACV to what we currently have in the warehouse.

33 00:03:03.020 00:03:12.189 Demilade Agboola: Okay, yeah, so the, the goal for that is, so we’ve tried some ways, we’ve… what we’ve tried hasn’t necessarily worked.

34 00:03:12.480 00:03:15.120 Demilade Agboola: Or giving us, like, the accurate numbers.

35 00:03:15.340 00:03:19.199 Demilade Agboola: But I will be looking into that specifically next week.

36 00:03:19.590 00:03:24.299 Demilade Agboola: Which is part of… what I was going to go on this.

37 00:03:25.240 00:03:30.199 Demilade Agboola: So, like, in terms of, like, the MMM art, most of the… most of the things there…

38 00:03:30.570 00:03:33.059 Demilade Agboola: are done, verified by Justin.

39 00:03:33.400 00:03:40.479 Demilade Agboola: And we’re good with that. We’ve QA’d it, made the changes based off, like, feedback from every other person.

40 00:03:40.950 00:03:45.100 Demilade Agboola: And now I’m starting to, like, integrate, like, the Spence data into that.

41 00:03:45.210 00:03:53.380 Demilade Agboola: So, actual, like, ACV and TDP calculations will largely be stuff I’ll be looking to early next week, like…

42 00:03:53.870 00:03:59.150 Demilade Agboola: And just basically, like, figuring out how we will be able to map that properly.

43 00:03:59.450 00:04:02.209 Demilade Agboola: So we’ll be able to get that across to you, like, early next week.

44 00:04:05.300 00:04:08.339 Justin Tabarini: Cool, yeah. The spend part of this is done.

45 00:04:08.790 00:04:12.620 Justin Tabarini: It’s just adding the spin stuff in, so… Align.

46 00:04:13.500 00:04:19.880 Demilade Agboola: So right now, I’m actually working on, like, the basic structure of how the Spencer looks, and just, like, getting the…

47 00:04:21.360 00:04:27.470 Demilade Agboola: the regular numbers, you know, the dollar amounts, unit amounts, that kind of stuff, like, just trying to, like.

48 00:04:28.060 00:04:35.160 Demilade Agboola: align that to how things will look. But yeah, the ACV part and the TDP part will be, like, early next week.

49 00:04:37.950 00:04:45.520 Demilade Agboola: Okay, yeah, so also on this, like, and Matt, does anyone have any, like, questions or feedback on the process as well?

50 00:04:47.580 00:04:50.890 Demilade Agboola: Okay, I can see JT’s thumbs up.

51 00:04:52.440 00:04:55.210 Demilade Agboola: Alright, so next step will be…

52 00:04:55.650 00:04:59.800 Demilade Agboola: refactoring the Spain’s pipeline. So basically, we’ll just be ensuring that, like, the pipeline

53 00:04:59.990 00:05:02.169 Demilade Agboola: The new flow of it will be…

54 00:05:02.350 00:05:06.519 Demilade Agboola: done. Like I said, Ashwini’s currently working on it.

55 00:05:06.680 00:05:09.849 Demilade Agboola: So the goal is to try and get that out. I…

56 00:05:10.080 00:05:12.759 Demilade Agboola: Test it and have that working by today.

57 00:05:13.190 00:05:20.010 Demilade Agboola: And then, once we can refactor it, we can look at the new format of the data and the new quality of the data.

58 00:05:20.210 00:05:27.339 Demilade Agboola: If we have less losses, or if we have no losses on the data, I think at that point in time, it would be… we’ll just have it in prod.

59 00:05:27.590 00:05:29.569 Demilade Agboola: Have that run as a process.

60 00:05:29.850 00:05:33.419 Demilade Agboola: And then we will be looking to integrate that.

61 00:05:33.750 00:05:39.679 Demilade Agboola: In terms of ACV and TDP next week into the month.

62 00:05:39.850 00:05:43.170 Demilade Agboola: So right now, like I said, I’m currently working on just the, like.

63 00:05:43.380 00:05:46.510 Demilade Agboola: Raw numbers, which shouldn’t be too tricky.

64 00:05:46.720 00:05:49.990 Demilade Agboola: But, like, in terms of, like, ACV and TDP, that would be, like.

65 00:05:50.300 00:05:51.939 Demilade Agboola: Just getting out the door next week.

66 00:05:52.120 00:05:54.699 Demilade Agboola: I think it might be helpful to have a call with, like.

67 00:05:55.760 00:06:00.069 Demilade Agboola: someone on your team next week, say maybe Tuesday, Wednesday, so we can just kind of, like, discuss…

68 00:06:00.270 00:06:05.890 Demilade Agboola: that, and any issues I’m probably running into with ACV calculations and TV calculations.

69 00:06:07.660 00:06:25.190 Mary Burke: Yeah, I think maybe we plan on… on Tuesday, if, if you guys think that the data will be able to be in by later today, then just making sure that we kind of keep moving along if there’s any back and forth with the calculations there. So, we know when to expect. We just have a closer eye on when the final deliverable will be ready.

70 00:06:25.630 00:06:35.810 Demilade Agboola: Okay, that’s fair, that’s fair. Yeah, so we’ll keep you updated on just, like, what progress is being made, and also, like, the stage in which we’ll be ready for that. So the goal is to, like, have this

71 00:06:36.160 00:06:50.829 Demilade Agboola: conversation, say, midweek, next week, where we can be like, hey, we’ve done this, this, this, this hasn’t worked. Do you have any, like, ideas on how you feel we could be able to get these numbers, or maybe it works for certain weeks? For other weeks, this doesn’t seem to work,

72 00:06:51.020 00:06:54.849 Demilade Agboola: So we’ll just basically be able to have that conversation and tell you what we’ve tried, what’s worked.

73 00:06:55.100 00:07:02.279 Demilade Agboola: What’s not worked at all, what’s worked to a certain degree, or, like, what’s gotten us closer than other numbers, and we’ll be able to hear your feedback on that.

74 00:07:03.720 00:07:14.869 Mary Burke: Okay, and then just to make sure I’m understanding completely, the data set will be available in the warehouse by the end of today, but the modeling piece, that’s what we want to review next week.

75 00:07:16.380 00:07:18.390 Demilade Agboola: So the…

76 00:07:18.590 00:07:26.799 Demilade Agboola: I will, like, Ashwin is currently working on the, like, loading through the Spence API, so, like, that would be available in terms of, like.

77 00:07:27.190 00:07:40.189 Demilade Agboola: the pipeline working, like, testing the pipeline. I think in terms of, like, but this is still just, like, the queuing portion of everything. We want to be sure that, we’re not dropping, or not losing data as we were before.

78 00:07:40.450 00:07:47.900 Demilade Agboola: once we can verify, like, the new method works, or the new pipeline works, yeah, I think we’ll… that’ll be our go-ahead to just kind of, like.

79 00:07:48.090 00:07:52.759 Demilade Agboola: Get it into production and have everything, like, run in terms of all the data.

80 00:07:54.970 00:07:58.350 Demilade Agboola: Okay. So, like, what Ashuni’s working on is a subset, basically.

81 00:07:58.470 00:08:03.479 Demilade Agboola: If that works properly, next week will be the… we’ll be looking at doing everything to the full…

82 00:08:03.620 00:08:04.830 Demilade Agboola: Full set of data.

83 00:08:05.490 00:08:14.920 Mary Burke: Okay, great. Yeah, I think, getting some time on with our team to review the data, live, or look over the QA docs on Monday or Tuesday would be great.

84 00:08:15.610 00:08:20.329 Demilade Agboola: Okay, alright, sounds good. So I will look into…

85 00:08:20.440 00:08:24.009 Demilade Agboola: I know my calendar next week is not too bad.

86 00:08:25.020 00:08:26.429 Demilade Agboola: I also want Kashmini’s comment.

87 00:08:26.430 00:08:27.840 Mary Burke: Yeah, I’ll pull up our team.

88 00:08:28.850 00:08:33.330 Demilade Agboola: So Tuesday, anytime from, like, 12 is fine for me. I’m not sure.

89 00:08:37.200 00:08:38.430 Demilade Agboola: 12 EST.

90 00:08:41.130 00:08:41.890 Mary Burke: Hmm.

91 00:08:46.640 00:08:50.470 Mary Burke: Okay, Tuesday is a little trickier for our team.

92 00:08:51.230 00:08:52.600 Demilade Agboola: Could also do Wednesday, too.

93 00:08:53.580 00:08:58.569 Mary Burke: We lose JT for, we can also… I don’t know, JT, if you’re… if you wanna…

94 00:08:59.460 00:09:00.719 Justin Tabarini: Michael’s got it.

95 00:09:00.720 00:09:07.489 Mary Burke: Okay. Yeah, we could do Monday and Wednesday, but I don’t think we can do Tuesday.

96 00:09:08.880 00:09:19.799 Demilade Agboola: I think Monday will be a really tight turnaround, because it’s literally… today’s already Friday, so I think Wednesday will probably be best. So we could probably do, like, Wednesday, say 12, 1, depending on what time works for you.

97 00:09:19.990 00:09:23.920 Mary Burke: Yeah, we’re… we… Michael and I are both available, then.

98 00:09:24.090 00:09:26.900 Demilade Agboola: Alright, sounds good, then I’ll send the invite as we speak.

99 00:09:27.690 00:09:29.400 Demilade Agboola: Hmm.

100 00:09:30.440 00:09:37.180 Demilade Agboola: To me, you… Mary… Michael…

101 00:09:52.080 00:09:54.180 Demilade Agboola: Should I send an invite to JT as well?

102 00:09:55.600 00:09:56.580 Mary Burke: No, it’s okay.

103 00:09:56.720 00:09:58.059 Demilade Agboola: He’ll be away.

104 00:09:58.950 00:09:59.700 Demilade Agboola: Oh, okay.

105 00:10:00.470 00:10:03.810 Demilade Agboola: Sounds good, then. I’m about to send the…

106 00:10:15.320 00:10:19.860 Demilade Agboola: Sorry, for some reason, when I was trying to get Michael’s email, it didn’t pop up, but that’s done now. That’s fine.

107 00:10:21.370 00:10:24.420 Demilade Agboola: Spins, data, QA.

108 00:10:26.230 00:10:27.960 Demilade Agboola: Alright, Ascent.

109 00:10:29.450 00:10:30.040 Mary Burke: Great.

110 00:10:30.880 00:10:33.760 Demilade Agboola: Okay, alright, so see you next week.

111 00:10:33.970 00:10:37.129 Demilade Agboola: Hopefully, like, you have a great weekend.

112 00:10:37.450 00:10:45.649 Demilade Agboola: But yeah, we’ll definitely try to just try and get this over the line, from, like, the… just testing out the data and subsets of the data.

113 00:10:46.170 00:10:49.399 Demilade Agboola: And then, at least that’ll put us in a good position for next week.

114 00:10:50.610 00:10:55.760 Mary Burke: Okay, great. Yeah, if you guys have any, any questions or things that we can help you with, or we can,

115 00:10:55.880 00:11:00.070 Mary Burke: connect with Ugo again, if that’ll be helpful, too. Just feel free to let us know.

116 00:11:00.940 00:11:10.649 Demilade Agboola: Alright, sounds good. Also, if there are any questions or any feedbacks about, like, just the engagement or how things are going, also feel free to reach out to me. I’m also, like.

117 00:11:11.070 00:11:17.700 Demilade Agboola: able to, like, try and see how much I can help make this a great, like, experience for everybody on the team, on the Magic Spoon team.

118 00:11:18.040 00:11:19.470 Mary Burke: Awesome, thank you, we appreciate it.

119 00:11:19.780 00:11:20.550 Demilade Agboola: Alright, babe.

120 00:11:21.930 00:11:22.850 Justin Tabarini: Feel better.

121 00:11:23.790 00:11:25.409 Demilade Agboola: I will, I will. Thank you.

122 00:11:25.790 00:11:26.659 Mary Burke: Bye, guys.

123 00:11:26.660 00:11:27.300 Demilade Agboola: Right.