Meeting Title: ABC Standup Date: 2025-07-02 Meeting participants: Mustafa Raja, Amber Lin, Luke Daque, Brainforge
WEBVTT
1 00:01:18.510 ⇒ 00:01:19.890 Amber Lin: Hello!
2 00:01:20.680 ⇒ 00:01:21.849 Mustafa Raja: Hey! How are you?
3 00:01:22.060 ⇒ 00:01:22.980 Amber Lin: I’m good.
4 00:01:24.338 ⇒ 00:01:26.929 Amber Lin: Let me pull up linear.
5 00:01:27.390 ⇒ 00:01:30.459 Amber Lin: Think today will be a pretty quick stand up
6 00:01:37.240 ⇒ 00:01:44.149 Amber Lin: because for for your ticket is is everything up to date.
7 00:01:47.215 ⇒ 00:01:53.040 Mustafa Raja: Yeah, I would just want to know. How would you want to set this up?
8 00:01:54.731 ⇒ 00:02:10.750 Mustafa Raja: what I mean by that is how should this new integration be triggered? Should this something? Should this be something like the thing that we previously did
9 00:02:11.240 ⇒ 00:02:12.260 Mustafa Raja: for the other ticket?
10 00:02:12.732 ⇒ 00:02:25.320 Amber Lin: Yeah, I think so. So it’s say, similarly, when we press a, button run workflow
11 00:02:25.990 ⇒ 00:02:34.079 Amber Lin: show in column, so I think in that, in that workflow.
12 00:02:34.360 ⇒ 00:02:35.230 Mustafa Raja: Yeah.
13 00:02:35.850 ⇒ 00:02:38.279 Mustafa Raja: And did you get to take a look at the other one?
14 00:02:39.090 ⇒ 00:02:41.310 Amber Lin: Oh, no, I haven’t. My bad.
15 00:02:41.450 ⇒ 00:02:42.970 Mustafa Raja: Oh, yeah, I would say.
16 00:02:42.970 ⇒ 00:02:43.480 Amber Lin: Oh, okay.
17 00:02:43.480 ⇒ 00:02:45.880 Mustafa Raja: It’s a so it’s super easy.
18 00:02:46.450 ⇒ 00:02:48.885 Amber Lin: Okay, sounds good. I’ll go. Look at that.
19 00:02:49.190 ⇒ 00:02:53.699 Mustafa Raja: Okay, okay, and one more thing about this.
20 00:02:54.669 ⇒ 00:03:07.969 Mustafa Raja: I’ve spent almost 45 min so far on this ticket the one that I’m working on right now. Let me know how much this week I can spend on it if I need to.
21 00:03:08.800 ⇒ 00:03:16.369 Amber Lin: I see well, I think this 1 first, st we need to do rack right when we say when we say 3 points is probably
22 00:03:16.530 ⇒ 00:03:28.649 Amber Lin: close, like upper limit of of 6 HI don’t think I I remember you said you don’t think this will take 6 h, but, like that’s the amount we allocated so
23 00:03:29.760 ⇒ 00:03:36.730 Amber Lin: like it’ll be great if we can finish this sooner. But I think that’s that’s a pretty
24 00:03:39.670 ⇒ 00:03:43.859 Amber Lin: wide estimate of how much time we can spend on it.
25 00:03:44.830 ⇒ 00:03:45.630 Mustafa Raja: Yeah, yeah.
26 00:03:46.300 ⇒ 00:04:02.430 Mustafa Raja: yeah. So what? So what I meant is, for this week, how much I can spend on I’ve already worked for like one and a half hour for other ticket and 45 min on this. So in total, my, this week’s
27 00:04:03.572 ⇒ 00:04:10.039 Mustafa Raja: time spent on ABC. Would be 2 h and 15 min. So far.
28 00:04:11.440 ⇒ 00:04:16.279 Amber Lin: Okay, I see. I guess we can.
29 00:04:17.440 ⇒ 00:04:27.379 Amber Lin: I mean, this is for these 2 weeks. Right? So if we if we do this one, and thank you for reminding me of the times. I think once we do
30 00:04:27.770 ⇒ 00:04:32.530 Amber Lin: this one that’s pretty much for these 2 weeks.
31 00:04:32.740 ⇒ 00:04:35.370 Amber Lin: So I think
32 00:04:35.990 ⇒ 00:04:45.739 Amber Lin: I think that’s okay. If you you can do this this week we’ll just move your allocations from next week to this week. So you would have.
33 00:04:45.740 ⇒ 00:04:48.109 Mustafa Raja: Oh, no time to complete this one.
34 00:04:48.650 ⇒ 00:04:52.800 Mustafa Raja: Okay, okay, okay, okay, yeah. That makes sense.
35 00:04:53.270 ⇒ 00:04:53.950 Amber Lin: Here.
36 00:04:54.780 ⇒ 00:04:55.290 Mustafa Raja: Yeah.
37 00:04:55.290 ⇒ 00:04:55.970 Amber Lin: Okay.
38 00:04:56.350 ⇒ 00:04:56.680 Mustafa Raja: Okay.
39 00:04:56.680 ⇒ 00:04:57.390 Amber Lin: Awesome.
40 00:04:57.840 ⇒ 00:04:58.510 Mustafa Raja: Yeah.
41 00:04:59.070 ⇒ 00:05:08.260 Amber Lin: Do you know? Oh, Hi, Luke, Mustafa feel free to hop off? I think I’ll just. I’ll talk with Casey and Luke, and that should be everything.
42 00:05:08.770 ⇒ 00:05:10.349 Mustafa Raja: Okay. Okay. Bye, bye.
43 00:05:10.350 ⇒ 00:05:12.149 Amber Lin: Alright thanks. Bye!
44 00:05:13.380 ⇒ 00:05:14.750 Amber Lin: Hello, Luke!
45 00:05:17.437 ⇒ 00:05:23.700 Luke Daque: I think I might need help from. I wish on this the the yeah, the.
46 00:05:23.700 ⇒ 00:05:24.360 Amber Lin: Stay tuned.
47 00:05:24.360 ⇒ 00:05:24.990 Luke Daque: Data.
48 00:05:25.630 ⇒ 00:05:25.990 Amber Lin: Okay.
49 00:05:25.990 ⇒ 00:05:31.349 Luke Daque: S. 3. I haven’t started the S. 3 to really yet, because I was like focusing on that.
50 00:05:31.730 ⇒ 00:05:32.949 Luke Daque: as I think.
51 00:05:33.448 ⇒ 00:05:39.480 Luke Daque: But yeah, I think I might need help from a wish, because, like, it’s probably I’m
52 00:05:39.770 ⇒ 00:05:44.110 Luke Daque: not doing the correct doing it correctly or something, because I can’t.
53 00:05:45.560 ⇒ 00:05:49.400 Luke Daque: I I can’t like figure out which tables are needed.
54 00:05:50.670 ⇒ 00:05:56.020 Luke Daque: But yeah, maybe I’ll try to set up time with Aish today.
55 00:05:56.740 ⇒ 00:05:57.140 Amber Lin: Sure.
56 00:05:57.140 ⇒ 00:05:59.719 Luke Daque: For that. So we can like push through with that.
57 00:06:00.350 ⇒ 00:06:03.939 Amber Lin: Okay, can this be done today?
58 00:06:05.470 ⇒ 00:06:08.729 Luke Daque: Yeah, I can. Yeah, I can try to work on that one.
59 00:06:09.290 ⇒ 00:06:11.590 Amber Lin: Yeah, that would be. That would be great.
60 00:06:11.890 ⇒ 00:06:15.889 Luke Daque: Don’t we have a real dashboard already for ABC. Though.
61 00:06:16.060 ⇒ 00:06:17.020 Amber Lin: Yes, we do.
62 00:06:17.430 ⇒ 00:06:19.840 Luke Daque: And it’s already connected to S. 3.
63 00:06:21.190 ⇒ 00:06:24.169 Luke Daque: It’s connected to a different data source.
64 00:06:24.170 ⇒ 00:06:27.709 Amber Lin: I’m not sure it’s probably connected to Snowflake, but we want.
65 00:06:27.710 ⇒ 00:06:28.280 Luke Daque: To be.
66 00:06:28.280 ⇒ 00:06:30.100 Amber Lin: Able to use the new data.
67 00:06:30.870 ⇒ 00:06:33.969 Luke Daque: I see, so would it be.
68 00:06:34.360 ⇒ 00:06:39.160 Amber Lin: It might be better to use. I I don’t know.
69 00:06:39.807 ⇒ 00:06:47.669 Amber Lin: We already had some things set up in real that Annie did so let me quickly show you what it looks like.
70 00:06:49.300 ⇒ 00:06:49.950 Luke Daque: Okay?
71 00:06:52.260 ⇒ 00:06:58.970 Luke Daque: Like, I was wondering, would this connection be for the same real project that we have, which
72 00:06:59.390 ⇒ 00:07:05.860 Luke Daque: which basically means we will have 2 sources for that real project, one coming from sounds like it.
73 00:07:05.860 ⇒ 00:07:07.050 Luke Daque: one from s. 3.
74 00:07:07.050 ⇒ 00:07:13.139 Amber Lin: I see. So I think what we will do is we can make one
75 00:07:13.310 ⇒ 00:07:19.830 Amber Lin: to develop for now, and once the current one we’re setting up. It’s done. We’ll remove the previous one.
76 00:07:20.130 ⇒ 00:07:22.690 Luke Daque: So we have.
77 00:07:23.706 ⇒ 00:07:31.159 Amber Lin: We have 2 reports. The the last one is just evaluations. So this one is
78 00:07:31.560 ⇒ 00:07:41.429 Amber Lin: for our internal bot performance. So this wouldn’t be as affected. So this is not related to the 8 by 8 data that we’re getting.
79 00:07:42.830 ⇒ 00:07:52.439 Amber Lin: This one, this one is what gets affected by the different.
80 00:07:52.950 ⇒ 00:07:54.390 Luke Daque: By the different
81 00:07:56.220 ⇒ 00:07:57.840 Amber Lin: Data that we’re getting in.
82 00:07:59.960 ⇒ 00:08:07.830 Amber Lin: So a few things that was done here. So 1st of all, stuff up here, so stuff
83 00:08:08.170 ⇒ 00:08:17.060 Amber Lin: from call kpis all the way down to call count by rep. These are all directly from 8 by 8,
84 00:08:17.380 ⇒ 00:08:18.179 Amber Lin: and then.
85 00:08:18.180 ⇒ 00:08:19.250 Luke Daque: Nice.
86 00:08:19.540 ⇒ 00:08:30.650 Amber Lin: What Annie did is they did it. I think she did a join based on either user, I think username. So then we were able to get the calls here that
87 00:08:30.990 ⇒ 00:08:42.250 Amber Lin: this user used Andy on. So we, I think you will be able to see her logic in real. She also documented it somewhere. So she joined
88 00:08:42.951 ⇒ 00:08:47.169 Amber Lin: essentially, the 8 by 8 data with our internal data.
89 00:08:47.480 ⇒ 00:08:49.849 Amber Lin: And then we were able to get these.
90 00:08:50.610 ⇒ 00:08:51.530 Luke Daque: Gotcha.
91 00:08:51.740 ⇒ 00:08:53.020 Amber Lin: But that’s.
92 00:08:53.480 ⇒ 00:08:57.860 Luke Daque: That 8 by 8 data is in Snowflake at the moment. The one that Annie.
93 00:08:58.248 ⇒ 00:09:07.560 Amber Lin: Yes, yes, I think it’ll be helpful if you look at look at the data in Snowflake and see what it says, because
94 00:09:07.950 ⇒ 00:09:15.680 Amber Lin: that was manually downloaded from 8 by 8 by the we see people, Gotcha.
95 00:09:15.680 ⇒ 00:09:17.500 Amber Lin: See if I can.
96 00:09:19.010 ⇒ 00:09:19.710 Luke Daque: Yeah.
97 00:09:19.710 ⇒ 00:09:23.030 Amber Lin: How would I send? Give you access to this?
98 00:09:23.760 ⇒ 00:09:27.949 Amber Lin: Do I send you a 1 pass, or I send you the link to this.
99 00:09:27.950 ⇒ 00:09:30.920 Luke Daque: Do you have? Do you have an admin access to.
100 00:09:31.410 ⇒ 00:09:35.330 Amber Lin: Let me make. Does that mean I’m admin.
101 00:09:37.930 ⇒ 00:09:39.979 Amber Lin: No, I don’t think so.
102 00:09:40.540 ⇒ 00:09:46.119 Luke Daque: So if you go to yeah, if you go to user roles and accounts and then see if you can
103 00:09:48.070 ⇒ 00:09:52.239 Luke Daque: ground overall. I don’t think I don’t think you have.
104 00:09:53.160 ⇒ 00:09:56.770 Luke Daque: You can just view who awesome granting
105 00:09:56.980 ⇒ 00:10:02.380 Luke Daque: rules, but you can’t create one. Maybe we can ask a wish to give me access.
106 00:10:02.800 ⇒ 00:10:05.259 Amber Lin: Does the wish have admin on this.
107 00:10:05.260 ⇒ 00:10:06.400 Luke Daque: I don’t know, or maybe it’s.
108 00:10:06.400 ⇒ 00:10:07.040 Amber Lin: I think.
109 00:10:07.040 ⇒ 00:10:09.449 Luke Daque: Maybe old Time, or Who’s who’s.
110 00:10:10.100 ⇒ 00:10:15.680 Amber Lin: Casey Casey should be able to give you access.
111 00:10:16.400 ⇒ 00:10:17.030 Brainforge: Hey, guys.
112 00:10:17.030 ⇒ 00:10:18.780 Amber Lin: So hi.
113 00:10:18.780 ⇒ 00:10:19.120 Brainforge: Nice.
114 00:10:19.120 ⇒ 00:10:22.620 Amber Lin: Do you have? Do you have admin access on Snowflake.
115 00:10:23.331 ⇒ 00:10:31.470 Brainforge: I yeah, I just, I wish was asking me earlier, and I couldn’t grant roles either. I think it’s it might only be Utah. I’m not sure.
116 00:10:31.470 ⇒ 00:10:34.770 Amber Lin: Oh, okay.
117 00:10:36.250 ⇒ 00:10:37.130 Amber Lin: Oh.
118 00:10:40.260 ⇒ 00:10:49.329 Amber Lin: the system system. Admin. Okay, let’s so a wish. And Luke needs access to Snowflake. Right?
119 00:10:49.680 ⇒ 00:10:50.130 Luke Daque: Yes.
120 00:10:50.380 ⇒ 00:10:54.360 Amber Lin: Oh, go! Ask that.
121 00:10:55.000 ⇒ 00:11:01.329 Brainforge: Yeah, I don’t understand the roles, either, it says his admin. But I I can’t create anything. Yeah.
122 00:11:02.490 ⇒ 00:11:03.520 Amber Lin: No worries.
123 00:11:04.250 ⇒ 00:11:07.050 Amber Lin: Oh, huh!
124 00:11:07.800 ⇒ 00:11:15.550 Amber Lin: Wait! Does this does this mean? I just need to add you to Snowflake.
125 00:11:16.620 ⇒ 00:11:22.030 Luke Daque: Yeah, let’s probably just ask ultam. Maybe he has the Admin actual admin access.
126 00:11:22.330 ⇒ 00:11:23.220 Amber Lin: Yeah.
127 00:11:23.220 ⇒ 00:11:24.000 Luke Daque: What else?
128 00:11:26.270 ⇒ 00:11:34.070 Amber Lin: How do I share this specific link?
129 00:11:34.660 ⇒ 00:11:35.990 Amber Lin: Let me try.
130 00:11:38.160 ⇒ 00:11:44.360 Amber Lin: Can you see if you can open that? If you already have admin, if not like, I’ll I’ll ping you, Tom.
131 00:11:45.380 ⇒ 00:11:53.560 Luke Daque: No, I don’t think I will have just like you need need to add that access.
132 00:11:54.870 ⇒ 00:11:56.749 Luke Daque: But yeah, let me open it
133 00:12:06.580 ⇒ 00:12:07.640 Luke Daque: golden.
134 00:12:09.840 ⇒ 00:12:13.280 Luke Daque: Yeah, it’s asking for a username and password. So.
135 00:12:16.490 ⇒ 00:12:20.240 Amber Lin: I see no worries. Let me go.
136 00:12:23.910 ⇒ 00:12:24.830 Amber Lin: Yeah.
137 00:12:46.930 ⇒ 00:12:47.730 Amber Lin: okay.
138 00:12:48.190 ⇒ 00:12:49.619 Amber Lin: Sounds good.
139 00:12:50.370 ⇒ 00:12:52.440 Amber Lin: I think that would. That would help
140 00:12:52.790 ⇒ 00:12:59.339 Amber Lin: if we get to look at these, and I think Annie’s where is that?
141 00:13:00.171 ⇒ 00:13:04.479 Amber Lin: Annie also wrote down some of the logic that she did when she.
142 00:13:04.480 ⇒ 00:13:04.870 Luke Daque: Increase.
143 00:13:04.870 ⇒ 00:13:08.559 Amber Lin: That dashboard. So that would also be helpful.
144 00:13:08.980 ⇒ 00:13:11.989 Amber Lin: I think, for now we can just
145 00:13:12.890 ⇒ 00:13:15.459 Amber Lin: we can create a new one.
146 00:13:15.670 ⇒ 00:13:22.610 Amber Lin: Or let’s see, we hmm.
147 00:13:23.460 ⇒ 00:13:32.649 Amber Lin: Let’s just connect it to see if it works. We can create a test dashboard to see if it actually connects. I just wanted to be able to present
148 00:13:32.860 ⇒ 00:13:39.749 Amber Lin: presents, or we’re not meeting with them. So as long as this gets done, I think it’ll be a lot easier
149 00:13:40.240 ⇒ 00:13:49.899 Amber Lin: to like. Compare what data I mean. You can also just put all of it in in real. I don’t know which one’s easier as long as we get it connected that should be good.
150 00:13:52.350 ⇒ 00:13:53.110 Luke Daque: Okay.
151 00:13:53.840 ⇒ 00:13:55.960 Amber Lin: Yeah, let me check.
152 00:13:56.250 ⇒ 00:13:59.629 Amber Lin: Oh, great! This has all data. I’m I’m going to go cancel that
153 00:14:03.360 ⇒ 00:14:06.760 Amber Lin: status canceled.
154 00:14:07.390 ⇒ 00:14:08.290 Amber Lin: Great.
155 00:14:11.780 ⇒ 00:14:14.849 Amber Lin: I think. Look! That’s all everything for this.
156 00:14:15.180 ⇒ 00:14:23.209 Amber Lin: I I’ll just ping here to grab time with a waste.
157 00:14:24.390 ⇒ 00:14:28.830 Amber Lin: I’ll just ping you here.
158 00:14:29.590 ⇒ 00:14:32.308 Luke Daque: Sounds good. Yeah, I also already. Message, I wish
159 00:14:32.610 ⇒ 00:14:33.570 Amber Lin: Oh, okay.
160 00:14:33.570 ⇒ 00:14:35.810 Luke Daque: So yeah, hopefully, he replies.
161 00:14:37.020 ⇒ 00:14:50.410 Amber Lin: Okay, I’ll just say, let us know how it goes with this. Okay, great.
162 00:14:50.760 ⇒ 00:14:55.390 Amber Lin: Okay. Thanks. Luke. Feel free to hop off. I’ll talk with Casey.
163 00:14:55.840 ⇒ 00:14:57.509 Luke Daque: Sounds, good thanks. Thanks. Guys.
164 00:14:57.510 ⇒ 00:14:58.330 Amber Lin: And thanks.
165 00:15:02.860 ⇒ 00:15:03.690 Amber Lin: Okay.
166 00:15:07.000 ⇒ 00:15:07.880 Amber Lin: Oh.
167 00:15:07.960 ⇒ 00:15:09.760 Brainforge: I just finished this one.
168 00:15:09.950 ⇒ 00:15:10.930 Amber Lin: Awesome.
169 00:15:12.150 ⇒ 00:15:13.780 Amber Lin: So let me check.
170 00:15:14.100 ⇒ 00:15:23.000 Amber Lin: We have 1, 2, 3, that one I haven’t talked to you about, so ignore the last one.
171 00:15:23.260 ⇒ 00:15:28.639 Amber Lin: So this one. Let me go check real quick.
172 00:15:31.590 ⇒ 00:15:32.580 Amber Lin: Awesome.
173 00:15:32.970 ⇒ 00:15:38.579 Amber Lin: Thank you. Thank you. I’ll do the internal review for that.
174 00:15:41.510 ⇒ 00:15:43.849 Amber Lin: Any help you need for this one.
175 00:15:44.890 ⇒ 00:15:46.899 Brainforge: And I just haven’t started this yet.
176 00:15:47.160 ⇒ 00:15:48.320 Amber Lin: Hmm, okay.
177 00:15:49.380 ⇒ 00:15:52.380 Brainforge: Yeah, I can dedicate some time later for this.
178 00:15:53.660 ⇒ 00:16:06.999 Amber Lin: That sounds good. I’ve already. There’s already some stuff here, so probably we can just copy and paste the central doc over, let it run it, and then copy and paste all the comments
179 00:16:07.350 ⇒ 00:16:10.740 Amber Lin: in that spreadsheet, and run, run the AI again.
180 00:16:11.030 ⇒ 00:16:12.940 Amber Lin: so that should be pretty fast.
181 00:16:13.310 ⇒ 00:16:13.980 Brainforge: Okay.
182 00:16:14.430 ⇒ 00:16:15.155 Amber Lin: Yeah.
183 00:16:16.090 ⇒ 00:16:24.689 Amber Lin: I think this was a. This was a similar thing that we have to the service coverage service coverage one.
184 00:16:24.860 ⇒ 00:16:31.090 Amber Lin: So back to the Central Doc messages.
185 00:16:35.440 ⇒ 00:16:38.079 Amber Lin: So I’m trying to.
186 00:16:38.440 ⇒ 00:16:45.720 Amber Lin: I was trying to create a list of all the different codes.
187 00:16:48.460 ⇒ 00:16:55.670 Amber Lin: I don’t think you need to get started on this one. I’ll flesh out the tickets a little bit more, but it’s pretty similar to
188 00:16:56.245 ⇒ 00:17:02.300 Amber Lin: the master coverage list is when, whenever a service code was mentioned somewhere.
189 00:17:03.610 ⇒ 00:17:09.549 Amber Lin: in the central talk. We can put it. We can put it here, but I’ll flush out the requirements.
190 00:17:10.200 ⇒ 00:17:16.029 Amber Lin: and we can probably talk about it tomorrow, when the other ticket is done.
191 00:17:16.339 ⇒ 00:17:17.289 Brainforge: Alright, then.
192 00:17:17.750 ⇒ 00:17:19.710 Amber Lin: Okay, yeah.
193 00:17:20.413 ⇒ 00:17:22.880 Amber Lin: Oh, the spreadsheet one.
194 00:17:23.720 ⇒ 00:17:27.019 Amber Lin: Were we able to do a test on that.
195 00:17:27.569 ⇒ 00:17:29.149 Brainforge: Oh, no, no, not yet.
196 00:17:29.490 ⇒ 00:17:36.710 Amber Lin: Okay, no worries. So let’s say, step one. What do we say was, gonna be our 1st
197 00:17:36.970 ⇒ 00:17:40.299 Amber Lin: 1st test is just to connect it with Nan.
198 00:17:40.500 ⇒ 00:17:47.179 Brainforge: Yeah, we’ll just, you know, do the same approach. For now where we add it to the context.
199 00:17:48.520 ⇒ 00:17:51.890 Brainforge: And then, if that’s not gonna work, then
200 00:17:52.090 ⇒ 00:17:54.049 Brainforge: I’ll migrate it to super base.
201 00:17:55.970 ⇒ 00:18:08.250 Amber Lin: Okay, that’s NAN, and if it doesn’t work migrate to super base.
202 00:18:09.430 ⇒ 00:18:13.000 Amber Lin: I think we need to transpose
203 00:18:15.020 ⇒ 00:18:20.279 Amber Lin: and migrate to super base. How long would this initial test take?
204 00:18:23.170 ⇒ 00:18:29.819 Brainforge: I think 2 2 points should be a good estimate.
205 00:18:31.680 ⇒ 00:18:33.379 Amber Lin: Okay. So I’ll say.
206 00:18:36.400 ⇒ 00:18:39.579 Amber Lin: if it doesn’t work we’ll make another ticket. So
207 00:18:41.450 ⇒ 00:18:41.990 Brainforge: Bye.
208 00:18:42.140 ⇒ 00:18:51.879 Amber Lin: So alright. We can say that this is, we’ll test this before Friday.
209 00:18:53.166 ⇒ 00:18:57.359 Amber Lin: Let me know if we wanna test it together.
210 00:18:58.360 ⇒ 00:18:58.770 Brainforge: Okay.
211 00:18:59.320 ⇒ 00:19:00.720 Amber Lin: Yeah, sounds good.
212 00:19:01.870 ⇒ 00:19:03.460 Amber Lin: I’ll talk to you tomorrow. Then.
213 00:19:03.960 ⇒ 00:19:05.150 Brainforge: Okay. Yeah. Thanks. Amber.
214 00:19:05.150 ⇒ 00:19:06.550 Amber Lin: Alright. Thank you.