Meeting Title: ABC | Planning Date: 2025-06-16 Meeting participants: Casie Aviles, read.ai meeting notes, Mustafa Raja, Uttam Kumaran, Amber Lin, Fireflies.ai Notetaker Awaish


WEBVTT

1 00:00:59.540 00:01:00.280 Mustafa Raja: Hey!

2 00:01:03.150 00:01:03.890 Uttam Kumaran: Hey!

3 00:01:05.340 00:01:06.130 Mustafa Raja: How are you?

4 00:01:06.890 00:01:07.600 Uttam Kumaran: Good.

5 00:04:21.529 00:04:22.749 Amber Lin: Hello!

6 00:04:23.670 00:04:24.470 Uttam Kumaran: A.

7 00:04:24.750 00:04:25.130 Mustafa Raja: Hey!

8 00:04:26.070 00:04:31.849 Amber Lin: Yeah, I should. I let me text a wish if he can join, because we have some data stuff.

9 00:04:31.850 00:04:32.460 Uttam Kumaran: He said it.

10 00:04:32.460 00:04:33.290 Uttam Kumaran: Sure, you know.

11 00:04:33.600 00:04:37.970 Amber Lin: Oh, dear, okay, great, not great, but

12 00:04:38.240 00:04:40.679 Amber Lin: his fire. His note taker is here.

13 00:04:43.440 00:05:00.840 Amber Lin: Let me share my screen. Thank you, Tom, for grooming through looking at the cycle. I think the points look a lot better now. And we that means also we have next cycle planned, which is great, almost planned. So let me see, for the current cycle.

14 00:05:03.340 00:05:05.820 Amber Lin: Just looking through a few things.

15 00:05:06.800 00:05:12.140 Amber Lin: I think the main thing is for me to start the feedback sessions

16 00:05:13.439 00:05:30.889 Amber Lin: to look at all the feedback and to get get them to transition to the central dock like that’s the main thing I’m doing. And I think, for a wish is to great build a pipeline to get data from 8 by 8, and then the main engineering work is on Mustafa to

17 00:05:31.240 00:05:35.160 Amber Lin: enable the direct updates to the central Dock.

18 00:05:35.810 00:05:42.670 Amber Lin: And I think because Misrava’s ticket is gonna take up a lot of hours

19 00:05:43.520 00:05:52.759 Amber Lin: in this cycle. I think for Casey, we have relatively lighter for this cycle, and then for next one you’ll have more tickets.

20 00:05:52.990 00:05:54.260 Amber Lin: endpoints.

21 00:05:54.880 00:05:57.780 Amber Lin: How do we feel about this.

22 00:06:00.790 00:06:01.490 Mustafa Raja: Good.

23 00:06:03.060 00:06:07.340 Amber Lin: Okay, I think this one will probably need to break down more.

24 00:06:07.440 00:06:09.550 Amber Lin: Yes, what are you saying?

25 00:06:09.550 00:06:15.519 Mustafa Raja: Yeah, for my ticket. Are we going to? Add Google sheets as human in the loop thing.

26 00:06:17.482 00:06:20.200 Amber Lin: Sorry. What does what does that mean for us?

27 00:06:20.200 00:06:37.449 Mustafa Raja: So the so the trainer bought for now shouldn’t be able to directly change into the central doc. Right? So there should be a human in the loop thing in Google sheets where, it will say in a column, what was the old response, and what.

28 00:06:37.450 00:06:37.920 Amber Lin: And.

29 00:06:37.920 00:06:46.000 Mustafa Raja: Another column. What’s going to be the new content? And another column, if it is approved or not by a human.

30 00:06:47.142 00:06:50.520 Amber Lin: Yeah, that’s that’s a great suggestion.

31 00:06:51.960 00:06:58.200 Mustafa Raja: Yeah, yeah, yeah. I see that we have. Create spreadsheet. Here’s what can this be approved.

32 00:06:58.330 00:07:00.290 Amber Lin: We’ll do. Oh, where is it?

33 00:07:00.360 00:07:05.400 Mustafa Raja: In the last comment you made the comment last comment.

34 00:07:06.110 00:07:14.656 Amber Lin: Oh, okay, okay. I didn’t. I didn’t remember me doing that. Okay, let me add that to this ticket

35 00:07:22.190 00:07:23.130 Amber Lin: sounds good.

36 00:07:23.130 00:07:23.470 Mustafa Raja: Okay.

37 00:07:24.170 00:07:27.940 Amber Lin: Okay, alright.

38 00:07:29.450 00:07:30.880 Amber Lin: So

39 00:07:32.721 00:07:40.949 Amber Lin: we’ll work on breaking this one down more. Once you have more insight on how that, how that can be done.

40 00:07:41.070 00:07:43.950 Amber Lin: And then, Casey, I think for this cycle

41 00:07:44.460 00:07:56.100 Amber Lin: you’re you have pretty light work, just just like small issues that I think this one persisted. From last week I added a few comments. I went ahead and tested. Oh, I see.

42 00:07:57.120 00:07:58.270 Amber Lin: Okay, sounds good.

43 00:07:58.270 00:08:00.939 Casie Aviles: I slapped him for that.

44 00:08:00.940 00:08:01.460 Amber Lin: Hmm.

45 00:08:01.770 00:08:06.239 Casie Aviles: Because, so so those fixes that we push should resolve these so

46 00:08:07.890 00:08:17.870 Amber Lin: Hmm, okay, okay, sounds good and also checking. I know you sent him the code for this one. Did he add it to Google Workspace?

47 00:08:19.495 00:08:24.824 Casie Aviles: Yeah, that’s what I asked him about, and he said he will be doing it.

48 00:08:25.180 00:08:26.200 Amber Lin: He will doing it.

49 00:08:26.200 00:08:32.629 Amber Lin: Yeah, okay, yeah. All right. I I just talked to Yvette and he she’s gonna go ask him for this one as well.

50 00:08:34.440 00:08:35.520 Amber Lin: That’s

51 00:08:35.679 00:08:42.130 Amber Lin: I think that’s all we have on the plate. I wanted to ask a wish on how he thinks we can do this.

52 00:08:45.910 00:08:47.140 Uttam Kumaran: Yeah, I feel like.

53 00:08:47.140 00:08:51.350 Amber Lin: I think this is a good ticket. I think he knows what to do. But I just want.

54 00:08:51.350 00:08:55.969 Uttam Kumaran: Yeah, I think you just need to probably tell him what type of what data is needed, because.

55 00:08:55.970 00:08:56.540 Amber Lin: Hmm.

56 00:08:57.580 00:09:02.019 Uttam Kumaran: Yeah, I think you need to, or someone needs like either Annie or

57 00:09:02.340 00:09:05.539 Uttam Kumaran: Casey. You need to probably write here like what

58 00:09:05.650 00:09:07.729 Uttam Kumaran: what data he needs to pull from there.

59 00:09:10.970 00:09:15.499 Amber Lin: I was originally thinking that we can just pull everything. We can see, but I suppose that.

60 00:09:15.500 00:09:16.039 Uttam Kumaran: No, no, no.

61 00:09:16.040 00:09:16.739 Amber Lin: A lot of time.

62 00:09:16.740 00:09:17.580 Amber Lin: Yeah, okay.

63 00:09:18.090 00:09:22.120 Uttam Kumaran: Yeah, that’s we should just like, I, I mean, it’s pretty simple. Like, do you need

64 00:09:22.250 00:09:26.450 Uttam Kumaran: like, yeah, what do you need? Do you need calls. And what fields do you need.

65 00:09:26.870 00:09:33.600 Amber Lin: Can I ask? It will be possible to ask him to give me a list of what’s available, and then I can better tell him.

66 00:09:33.870 00:09:34.680 Uttam Kumaran: AI!

67 00:09:35.520 00:09:35.960 Uttam Kumaran: It’s.

68 00:09:35.960 00:09:36.600 Amber Lin: Okay.

69 00:09:39.380 00:09:42.220 Uttam Kumaran: Yeah. Like, there is a Api reference.

70 00:09:42.750 00:09:44.970 Amber Lin: Okay, yeah, I I’ll go look at it.

71 00:09:45.570 00:09:51.730 Uttam Kumaran: Yeah. And then, yeah, I don’t know. It looks like this.

72 00:09:52.500 00:09:55.770 Uttam Kumaran: I mean, yeah, it should. All the Apis.

73 00:09:55.770 00:09:59.150 Amber Lin: Yeah, it was here, I think, when

74 00:09:59.340 00:10:03.300 Amber Lin: we got the Api, I’ll go find it. I know where it is.

75 00:10:03.680 00:10:04.310 Uttam Kumaran: Well, like there’s.

76 00:10:04.310 00:10:04.729 Casie Aviles: Like a call.

77 00:10:04.730 00:10:07.270 Uttam Kumaran: Call logs. Call detail.

78 00:10:07.920 00:10:12.540 Uttam Kumaran: Well, like again, I don’t know you have to. So there’s General Api

79 00:10:12.930 00:10:17.099 Uttam Kumaran: automation Api number lookup Api video interaction.

80 00:10:17.642 00:10:21.629 Amber Lin: Voice, Api! And then the voice, Api! There’s a reporting Api.

81 00:10:21.830 00:10:24.630 Uttam Kumaran: And then it looks like it’s just like, Yeah.

82 00:10:24.810 00:10:26.330 Uttam Kumaran: I don’t. You have to. I think.

83 00:10:28.190 00:10:31.989 Uttam Kumaran: yeah, I mean, you can either ask Casey to do this one, or you can ask

84 00:10:32.524 00:10:35.120 Uttam Kumaran: Annie. I feel like it may be easier.

85 00:10:38.420 00:10:45.839 Amber Lin: Yeah, sure, I might ask someone to list all the available ones to me. And then I can help. We can decide together what we need.

86 00:10:48.040 00:10:48.570 Amber Lin: Oh, yeah.

87 00:10:48.570 00:10:54.250 Uttam Kumaran: Because what do we need? We just need, like what calls happen? Who took the call? Who was the call with and the transcript.

88 00:10:55.570 00:10:59.610 Uttam Kumaran: and like the Timestamps like. So we just need to explain that.

89 00:11:01.170 00:11:01.900 Amber Lin: Great.

90 00:11:03.630 00:11:09.200 Amber Lin: Yeah, I’ll make another ticket for that. And I think, either casey or any will take that one.

91 00:11:13.720 00:11:15.510 Amber Lin: alright, awesome.

92 00:11:21.940 00:11:24.369 Amber Lin: I don’t think we need it

93 00:11:24.470 00:11:33.570 Amber Lin: daily. Stand up, but I’ll book one for tomorrow to see how how everyone’s progress is.

94 00:11:33.980 00:11:38.599 Amber Lin: and then, if we’re doing well, we can probably do Async, and then call if we need.

95 00:11:39.500 00:11:40.110 Mustafa Raja: Okay.

96 00:11:41.150 00:11:42.379 Amber Lin: Yeah, sounds good.

97 00:11:42.810 00:11:47.319 Amber Lin: Thank you all. I’ll make another ticket, and we’ll tell her. Wish what we need.

98 00:11:48.100 00:11:48.760 Uttam Kumaran: Okay.

99 00:11:49.470 00:11:49.910 Mustafa Raja: Okay.

100 00:11:49.910 00:11:50.680 Amber Lin: Thanks.

101 00:11:51.060 00:11:51.900 Uttam Kumaran: Thank you.

102 00:11:52.180 00:11:53.960 Casie Aviles: Thanks, guys. Bye, bye.