Meeting Title: Brainforge Case Studies Planning Sync Date: 2025-07-15 Meeting participants: Hannah Wang, Amber Lin
WEBVTT
1 00:01:52.640 ⇒ 00:01:54.280 Amber Lin: Hello!
2 00:01:54.750 ⇒ 00:01:56.010 Hannah Wang: Hello!
3 00:01:57.330 ⇒ 00:01:59.689 Amber Lin: I’m seeing you later today.
4 00:02:00.190 ⇒ 00:02:02.659 Hannah Wang: Oh, yeah, I know that’s crazy.
5 00:02:03.700 ⇒ 00:02:07.609 Hannah Wang: I’m like, I’m like, not ready to socialize.
6 00:02:07.750 ⇒ 00:02:08.270 Hannah Wang: Should.
7 00:02:08.419 ⇒ 00:02:09.960 Amber Lin: I agree.
8 00:02:12.170 ⇒ 00:02:19.320 Amber Lin: This meeting? Are we even focusing on case studies right now?
9 00:02:21.440 ⇒ 00:02:27.439 Hannah Wang: Yeah, I was actually looking at a message about case studies. I can.
10 00:02:28.310 ⇒ 00:02:37.770 Hannah Wang: I don’t know if you can help me with this because you’re not necessarily like Pm, the AI team. But you a thread
11 00:02:38.080 ⇒ 00:02:43.790 Hannah Wang: in slack basically, Utam wants
12 00:02:44.310 ⇒ 00:02:51.472 Hannah Wang: some people from the marketing team to interview the AI team for 2 case studies.
13 00:02:53.230 ⇒ 00:02:57.239 Hannah Wang: Chatbot Chatbot, and then the Zoom drive agent.
14 00:02:57.577 ⇒ 00:03:00.609 Amber Lin: I will not be able to help with that.
15 00:03:00.610 ⇒ 00:03:03.140 Hannah Wang: Yeah, I don’t know what these are. So
16 00:03:03.450 ⇒ 00:03:08.759 Hannah Wang: yeah, I don’t know. I obviously have to reach out to the AI team and get that
17 00:03:09.825 ⇒ 00:03:13.780 Hannah Wang: from them. So I guess those are the case studies.
18 00:03:14.230 ⇒ 00:03:17.789 Hannah Wang: and then and then another one from Kyle
19 00:03:18.010 ⇒ 00:03:21.085 Hannah Wang: on whatever that stuff is.
20 00:03:23.610 ⇒ 00:03:25.970 Amber Lin: Are all these ticketed.
21 00:03:25.970 ⇒ 00:03:26.990 Hannah Wang: No.
22 00:03:26.990 ⇒ 00:03:29.880 Amber Lin: Let’s take it so we can forget about it.
23 00:03:31.060 ⇒ 00:03:37.519 Hannah Wang: I tag Rico to help me to get it, but I think got lost, so we can do that right now.
24 00:03:37.520 ⇒ 00:03:38.450 Amber Lin: Okay.
25 00:03:41.240 ⇒ 00:03:47.089 Amber Lin: The case studies. Let me go find that
26 00:03:49.260 ⇒ 00:03:54.089 Hannah Wang: It’s a ticket already. It’s not groomed, but.
27 00:03:54.890 ⇒ 00:03:56.180 Hannah Wang: There’s a
28 00:03:56.780 ⇒ 00:04:05.874 Hannah Wang: where is it? Where is it? Oh, I oh, you created it! Ask AI team for case studies.
29 00:04:06.380 ⇒ 00:04:06.845 Amber Lin: Oh.
30 00:04:09.960 ⇒ 00:04:12.071 Amber Lin: okay, so there is
31 00:04:15.080 ⇒ 00:04:18.057 Amber Lin: What else was there you said there was
32 00:04:19.089 ⇒ 00:04:21.639 Hannah Wang: There’s pool parts. Chatbot.
33 00:04:29.879 ⇒ 00:04:32.349 Hannah Wang: Here, let me put it in the chat.
34 00:04:33.020 ⇒ 00:04:33.860 Amber Lin: Okay.
35 00:04:35.360 ⇒ 00:04:36.850 Amber Lin: Oh.
36 00:04:38.170 ⇒ 00:04:46.720 Amber Lin: Created. And then Kyle’s urban stems implementation
37 00:04:54.120 ⇒ 00:04:56.380 Amber Lin: application work.
38 00:04:57.310 ⇒ 00:05:06.599 Amber Lin: And let me, just, I’m I’m just gonna put down a few things for the different possible
39 00:05:07.850 ⇒ 00:05:12.300 Amber Lin: one so or
40 00:05:24.420 ⇒ 00:05:37.020 Amber Lin: And then, for matter more, I think we need to edit it into like synthetic data.
41 00:05:54.110 ⇒ 00:05:56.110 Hannah Wang: Could you share your screen? So I know.
42 00:05:56.110 ⇒ 00:05:57.869 Amber Lin: Oh, yeah. Sorry.
43 00:05:57.870 ⇒ 00:05:58.490 Hannah Wang: That’s okay.
44 00:06:08.910 ⇒ 00:06:13.860 Amber Lin: What was was there anything that we needed to talk about?
45 00:06:16.071 ⇒ 00:06:22.499 Hannah Wang: Wait first.st Where did you add the tickets? I see I saw the pool parts one.
46 00:06:23.565 ⇒ 00:06:27.644 Amber Lin: So urban sense, madam, more
47 00:06:30.890 ⇒ 00:06:38.689 Hannah Wang: Could we add bracket case? Or Oh, yeah, sure you can add the client, but we add the word case.
48 00:06:38.690 ⇒ 00:06:40.840 Amber Lin: The project case, study.
49 00:06:40.840 ⇒ 00:06:41.840 Hannah Wang: Yeah, yeah.
50 00:06:42.110 ⇒ 00:06:44.039 Amber Lin: But we can’t add the title.
51 00:06:45.000 ⇒ 00:06:48.170 Hannah Wang: You can just add it to the case study project, and then I’ll know what it.
52 00:06:48.170 ⇒ 00:06:50.229 Amber Lin: They’re all on the case. Study project.
53 00:06:50.230 ⇒ 00:06:51.510 Hannah Wang: Oh, oh, yeah.
54 00:06:52.093 ⇒ 00:06:53.259 Amber Lin: To you?
55 00:06:56.680 ⇒ 00:06:59.369 Amber Lin: So I think that’s a duplicate.
56 00:07:00.080 ⇒ 00:07:02.210 Amber Lin: I’ll just delete that.
57 00:07:04.990 ⇒ 00:07:05.710 Amber Lin: And
58 00:07:08.960 ⇒ 00:07:19.699 Amber Lin: yeah, think, what are we prioritizing? Are we prioritizing any case? Studies.
59 00:07:22.210 ⇒ 00:07:23.570 Hannah Wang: Why?
60 00:07:24.600 ⇒ 00:07:28.490 Hannah Wang: Well, matter more. They haven’t gone back to us. But
61 00:07:28.740 ⇒ 00:07:35.079 Hannah Wang: I remember Tom saying we don’t need any more client case studies so we can the AI ones.
62 00:07:35.080 ⇒ 00:07:38.059 Amber Lin: Yeah, I assume from him, is that
63 00:07:39.990 ⇒ 00:07:48.410 Amber Lin: we’ll interview because case studies. I don’t think we’re. It’s that urgent anymore. So we’ll interview, I think, schedule the interview
64 00:07:48.700 ⇒ 00:07:56.320 Amber Lin: with the AI team. We think that’s what we can do. Kind of like stretch out the timeline that we do these
65 00:07:58.360 ⇒ 00:07:59.630 Amber Lin: it book?
66 00:08:00.320 ⇒ 00:08:03.210 Amber Lin: Did we book a meeting with AI team? Yet.
67 00:08:03.210 ⇒ 00:08:04.170 Hannah Wang: No.
68 00:08:04.580 ⇒ 00:08:05.210 Amber Lin: Oh!
69 00:08:05.410 ⇒ 00:08:07.981 Hannah Wang: I was gonna just message them
70 00:08:08.703 ⇒ 00:08:12.230 Amber Lin: I think you need just put a time on their calendar.
71 00:08:12.230 ⇒ 00:08:13.130 Hannah Wang: Okay.
72 00:08:14.200 ⇒ 00:08:18.590 Amber Lin: Because they will forget they will not get to you.
73 00:08:18.760 ⇒ 00:08:19.640 Hannah Wang: Okay.
74 00:08:19.800 ⇒ 00:08:26.194 Amber Lin: So just grab a time on the calendar with both of them, and you can just interview them.
75 00:08:31.140 ⇒ 00:08:38.239 Hannah Wang: Okay, I interview them. I feel like the.
76 00:08:38.240 ⇒ 00:08:39.059 Amber Lin: Hmm.
77 00:08:40.440 ⇒ 00:08:53.669 Hannah Wang: Like, you know, the the prompt I we had, for, like the case, study stuff with like one through 6 or whatever it was, I don’t know if that’s like applicable to the AI
78 00:08:54.140 ⇒ 00:08:54.820 Hannah Wang: team.
79 00:08:54.820 ⇒ 00:08:56.649 Amber Lin: May I look at the prompt.
80 00:08:56.850 ⇒ 00:08:59.440 Hannah Wang: Yeah, I’m trying to remember.
81 00:08:59.440 ⇒ 00:09:01.840 Amber Lin: Oh, is it the same one I use for matter more.
82 00:09:02.270 ⇒ 00:09:04.152 Hannah Wang: I think so.
83 00:09:05.342 ⇒ 00:09:08.720 Amber Lin: I think it was pretty good.
84 00:09:09.980 ⇒ 00:09:19.109 Amber Lin: We cause. Technically, they have a client, too. They’re serving Brainforge as a company.
85 00:09:19.680 ⇒ 00:09:30.950 Amber Lin: So would have business impacts. It would have challenges, like all of those still make sense, and we should talk about it as if it was for a client, because when we sell it
86 00:09:31.610 ⇒ 00:09:38.119 Amber Lin: the client our sales lead looks at it as if, like they were the client that we serve.
87 00:09:38.120 ⇒ 00:09:38.890 Hannah Wang: Right.
88 00:09:38.890 ⇒ 00:09:40.830 Amber Lin: Sense. So I think it’s fine.
89 00:09:42.340 ⇒ 00:09:45.469 Hannah Wang: Okay, like the. Let me just share
90 00:09:45.690 ⇒ 00:09:48.859 Hannah Wang: like this or oops wrong link
91 00:09:51.008 ⇒ 00:09:53.599 Hannah Wang: I sent it in zoom.
92 00:09:53.820 ⇒ 00:09:54.420 Amber Lin: Oh!
93 00:09:54.420 ⇒ 00:09:57.699 Hannah Wang: That one right, that we looked at that one together.
94 00:09:59.736 ⇒ 00:10:01.150 Hannah Wang: I think.
95 00:10:05.160 ⇒ 00:10:05.950 Amber Lin: Hmm!
96 00:10:08.600 ⇒ 00:10:09.430 Amber Lin: Oh.
97 00:10:09.430 ⇒ 00:10:11.049 Hannah Wang: Anything else. Why do I not.
98 00:10:11.050 ⇒ 00:10:18.980 Amber Lin: That was. Oh, that’s a lot of questions. What was the framework
99 00:10:19.320 ⇒ 00:10:24.279 Amber Lin: like? We should just base it off of the the framework instead of this.
100 00:10:24.280 ⇒ 00:10:25.220 Hannah Wang: Oh, like, yeah.
101 00:10:25.220 ⇒ 00:10:29.990 Amber Lin: The case study, because this is too many questions. It’s going to take you 2 h.
102 00:10:30.585 ⇒ 00:10:33.590 Hannah Wang: Is it this one? I sent another link.
103 00:10:38.690 ⇒ 00:10:39.350 Amber Lin: Yeah.
104 00:10:39.350 ⇒ 00:10:40.200 Hannah Wang: Okay.
105 00:10:40.200 ⇒ 00:10:46.449 Amber Lin: That’s like, that’s all we need cause. That’s all you need for the case. Study. No need to get more information that you need.
106 00:10:46.450 ⇒ 00:10:52.910 Hannah Wang: But like, how would I like? Would Miguel and Casey be able to like if I ask them? Oh, can you like summarize the.
107 00:10:53.160 ⇒ 00:11:02.230 Amber Lin: Yeah, just yeah. Just go through like, look, share, screen, and then like, type it out as they as they talk.
108 00:11:02.470 ⇒ 00:11:03.360 Hannah Wang: Okay.
109 00:11:03.360 ⇒ 00:11:19.799 Amber Lin: Or just pass it. You can take this template, pass it through, Gpt like, give me like 5 interview questions, or say, like I have a 30 min time to do interviews for questions. So I ask, because the other one just so so many.
110 00:11:20.100 ⇒ 00:11:20.930 Hannah Wang: Yeah.
111 00:11:20.930 ⇒ 00:11:21.810 Amber Lin: Yeah.
112 00:11:21.990 ⇒ 00:11:25.439 Hannah Wang: Okay, I need to like bookmark. This one. Okay.
113 00:11:25.910 ⇒ 00:11:30.240 Amber Lin: Okay, I feel added to the case that I’ll I’ll copy
114 00:11:30.730 ⇒ 00:11:32.809 Amber Lin: and go add it to the project.
115 00:11:32.810 ⇒ 00:11:33.600 Hannah Wang: Yeah.
116 00:11:35.000 ⇒ 00:11:45.089 Amber Lin: So case study template, add, link is in. It’s in linear. Now.
117 00:11:45.090 ⇒ 00:11:46.650 Hannah Wang: Thank you. Yeah. I see it.
118 00:11:48.850 ⇒ 00:11:54.969 Amber Lin: Oh, there’s so much! There’s so much stuff.
119 00:11:54.970 ⇒ 00:12:04.580 Hannah Wang: Hey, yeah, dude, as always, a ton of backlog or needs requirements.
120 00:12:05.060 ⇒ 00:12:05.740 Amber Lin: Hmm.
121 00:12:05.870 ⇒ 00:12:08.795 Hannah Wang: But a lot of that is like website stuff.
122 00:12:09.120 ⇒ 00:12:09.813 Amber Lin: Oh, really.
123 00:12:10.280 ⇒ 00:12:15.120 Hannah Wang: At least like the oh, no, it’s content. Never mind.
124 00:12:15.120 ⇒ 00:12:22.069 Amber Lin: I moved a few of the case study blog posts to blog because I just wanna I just don’t wanna see it here.
125 00:12:23.100 ⇒ 00:12:28.449 Hannah Wang: All the ones that blocked our website. Like, technically, it depends on
126 00:12:28.590 ⇒ 00:12:31.829 Hannah Wang: it’s the website implementation of the case. Study.
127 00:12:31.830 ⇒ 00:12:32.910 Amber Lin: Oh!
128 00:12:32.910 ⇒ 00:12:36.730 Hannah Wang: If we’re leaving it in website or case study, I don’t remember.
129 00:12:38.680 ⇒ 00:12:46.379 Amber Lin: I just wanna boot it because we’re gonna look at this pretty often. I just wanna be able to see a cleaner plate.
130 00:12:46.570 ⇒ 00:12:48.849 Hannah Wang: Oh, you moved it to blog post, though.
131 00:12:48.850 ⇒ 00:12:51.180 Amber Lin: Oh, is it an offer? Blog!
132 00:12:51.180 ⇒ 00:12:53.320 Hannah Wang: Yes, we have like a separate case.
133 00:12:53.838 ⇒ 00:12:57.469 Hannah Wang: I see. I see it makes sense.
134 00:12:57.900 ⇒ 00:13:00.769 Amber Lin: Okay, we’ll leave it there.
135 00:13:00.770 ⇒ 00:13:01.410 Hannah Wang: Okay.
136 00:13:01.410 ⇒ 00:13:03.360 Amber Lin: Can’t really trim it down. Then.
137 00:13:04.760 ⇒ 00:13:09.689 Hannah Wang: Okay, so what do I need to do? I need to book a time with the AI team to get there.
138 00:13:10.160 ⇒ 00:13:15.780 Amber Lin: Yeah, let’s just you can just book it now, just so that it’s off your mind.
139 00:13:17.512 ⇒ 00:13:21.179 Hannah Wang: So it’s do you know who did pool ports and who did the zoom.
140 00:13:21.593 ⇒ 00:13:24.490 Amber Lin: Miguel? What was the other one.
141 00:13:24.630 ⇒ 00:13:27.710 Hannah Wang: The zoom to drive to Agent Project.
142 00:13:28.027 ⇒ 00:13:32.149 Amber Lin: Just grab Casey and Mustafa just maybe just grab all 3 of them.
143 00:13:32.150 ⇒ 00:13:34.580 Hannah Wang: Oh, that’s not.
144 00:13:34.580 ⇒ 00:13:39.440 Amber Lin: Pool parts is pull parts is just Miguel. So maybe 2 separate ones. I don’t know.
145 00:13:39.440 ⇒ 00:13:42.119 Hannah Wang: Okay, pool parts is gonna go. Okay.
146 00:13:52.500 ⇒ 00:13:55.630 Hannah Wang: okay, I will do that. And then I’ll
147 00:13:56.020 ⇒ 00:13:58.740 Hannah Wang: probably this week. And then I think I should be.
148 00:13:59.420 ⇒ 00:14:04.129 Hannah Wang: Hmm, it said, these need to be screenshot heavy.
149 00:14:05.528 ⇒ 00:14:09.559 Hannah Wang: Okay, the design needs to be different then. But.
150 00:14:10.490 ⇒ 00:14:11.370 Amber Lin: Oh!
151 00:14:11.370 ⇒ 00:14:14.423 Hannah Wang: I don’t know. I’ll figure that later.
152 00:14:16.440 ⇒ 00:14:17.320 Amber Lin: Okay.
153 00:14:18.660 ⇒ 00:14:19.350 Hannah Wang: So.
154 00:14:19.350 ⇒ 00:14:24.719 Amber Lin: Promotional stuff. Any specific things we need to.
155 00:14:26.940 ⇒ 00:14:27.670 Amber Lin: Yeah.
156 00:14:30.870 ⇒ 00:14:34.990 Hannah Wang: Hmm promotional stuff for like clients.
157 00:14:36.090 ⇒ 00:14:36.650 Amber Lin: Oh!
158 00:14:37.040 ⇒ 00:14:38.349 Hannah Wang: Nurse, partners.
159 00:14:38.350 ⇒ 00:14:43.419 Amber Lin: Yeah, like, I, I guess we booked this meeting, or it’s only to see if there was any
160 00:14:44.180 ⇒ 00:14:54.599 Amber Lin: promotional stuff that we need to work on related to clients. Probably both. Main part is case studies. The other is just like I don’t know.
161 00:14:56.000 ⇒ 00:15:00.260 Hannah Wang: But then I’m like, if doesn’t want client case studies, I’m like.
162 00:15:00.590 ⇒ 00:15:05.370 Amber Lin: I think he ultimately would like it to happen. But it’s not a huge priority.
163 00:15:05.370 ⇒ 00:15:09.160 Hannah Wang: Oh, so it’s more like the AI work. That’s more prior.
164 00:15:09.280 ⇒ 00:15:10.379 Amber Lin: Yeah, cause
165 00:15:10.380 ⇒ 00:15:24.240 Amber Lin: for clients. We haven’t sent it out yet. Oh, I think the big part of it is, how do we send out more case studies. That is probably a campaign under sales.
166 00:15:25.370 ⇒ 00:15:26.910 Hannah Wang: And
167 00:15:28.310 ⇒ 00:15:38.750 Hannah Wang: yeah, I mean, right now, we’re like Link trying to link it in our Cta for Linkedin and then when
168 00:15:38.890 ⇒ 00:15:44.700 Hannah Wang: Robert, our O, Tom sent emails. They link case studies.
169 00:15:47.840 ⇒ 00:15:51.100 Hannah Wang: We’re sending case studies to our partners.
170 00:15:56.400 ⇒ 00:16:03.720 Hannah Wang: And then, yeah, I guess that’s about it.
171 00:16:06.250 ⇒ 00:16:12.210 Hannah Wang: and then, like giving the case study links to our referral partners so that they can give it to leads.
172 00:16:12.550 ⇒ 00:16:25.659 Amber Lin: Yeah, I think what item meant was to now. I I just recalled it. So, for example, our ABC case study wants to send that send that to all the other home services, firms.
173 00:16:25.970 ⇒ 00:16:27.320 Hannah Wang: Oh!
174 00:16:27.320 ⇒ 00:16:33.090 Amber Lin: Kind of like a combination of lead scraping. And then a email campaign.
175 00:16:35.140 ⇒ 00:16:42.210 Hannah Wang: We have too many campaigns, though I can’t. I can’t juggle all that I mean. Ultimately, Ryan’s gonna be the one
176 00:16:42.560 ⇒ 00:16:47.570 Hannah Wang: like. Well, Mustafa will scrape it, and then Ryan’s gonna do like hey, reach, or whatever.
177 00:16:47.570 ⇒ 00:16:52.160 Amber Lin: Hmm, I feel like he’s already doing so much. So yeah, I push back.
178 00:16:52.160 ⇒ 00:16:52.880 Hannah Wang: Because.
179 00:16:53.430 ⇒ 00:16:55.050 Amber Lin: Is that that’s
180 00:16:55.050 ⇒ 00:17:16.009 Amber Lin: that is valid. I think we need someone to help Ryan. We either need to one talk. We should talk to to prioritize Ryan’s work and make sure he doesn’t get overwhelmed. And there’s more than Ryan’s capacity that needs to get done. Then we need to get a new person to help him.
181 00:17:17.240 ⇒ 00:17:17.970 Hannah Wang: Yeah.
182 00:17:17.970 ⇒ 00:17:23.410 Amber Lin: Okay, let me just let me just send that in the channel and tag it with them.
183 00:17:24.700 ⇒ 00:17:30.520 Hannah Wang: Well, my concern is that he’s gonna be like, oh, like Hannah, can you do it? But I mean, I had like a conversation.
184 00:17:30.520 ⇒ 00:17:34.350 Amber Lin: Or also at capacity. That’s that’s not an option.
185 00:17:34.655 ⇒ 00:17:48.104 Hannah Wang: I mean, I talked with him on on last Tuesday, after our conversation, our one on one last week. And then I basically told him like, look I I kind of want to stick with design. So I think that’s he’s trying to like
186 00:17:49.130 ⇒ 00:17:57.259 Hannah Wang: not put me into a ton of like other stuff, so that I can just work on design stuff. That’s that’s that was helpful. But.
187 00:17:57.260 ⇒ 00:18:04.010 Amber Lin: Sounds good. Yeah, I’ll I’ll raise the issue to him. He needs to decide because it’s a hiring
188 00:18:04.170 ⇒ 00:18:06.360 Amber Lin: and resource question.
189 00:18:06.360 ⇒ 00:18:07.380 Hannah Wang: Yeah.
190 00:18:07.670 ⇒ 00:18:08.070 Amber Lin: Okay.
191 00:18:08.070 ⇒ 00:18:12.940 Hannah Wang: There’s only so many campaigns we can take on at one time. So.
192 00:18:12.940 ⇒ 00:18:21.279 Amber Lin: Yes, I agree. So there’s either someone that’s just gonna manage campaigns, or we need to limit campaigns. We do.
193 00:18:21.590 ⇒ 00:18:22.610 Hannah Wang: Yeah.
194 00:18:22.710 ⇒ 00:18:32.600 Hannah Wang: I mean campaigns like the person leading it, like you saw earlier during grooming like. So some of it’s me. Some of it’s Sid. Some of it’s Ryan. So
195 00:18:32.780 ⇒ 00:18:43.460 Hannah Wang: everyone’s kinda like managing a campaign, I guess, and then the intern or Vishnu is supposed to help build out our dashboard to track everything but.
196 00:18:43.460 ⇒ 00:18:43.950 Amber Lin: Hmm.
197 00:18:43.950 ⇒ 00:18:45.889 Hannah Wang: No progress on that. So.
198 00:18:45.890 ⇒ 00:18:49.250 Amber Lin: I I don’t know. I could hope.
199 00:18:50.680 ⇒ 00:18:54.449 Amber Lin: If it happens it’s great. It doesn’t happen. It doesn’t change anything.
200 00:18:56.350 ⇒ 00:19:06.380 Hannah Wang: Oh, okay, okay. Good to bring up on whenever our meeting is that tomorrow or something.
201 00:19:07.350 ⇒ 00:19:09.989 Amber Lin: Yeah, I’ll I’ll send it in the in channel.
202 00:19:09.990 ⇒ 00:19:12.369 Amber Lin: Okay, we’ll talk about it tomorrow.
203 00:19:12.370 ⇒ 00:19:13.609 Hannah Wang: Okey, doke.
204 00:19:13.610 ⇒ 00:19:15.520 Amber Lin: Alright. I’ll see you later today.
205 00:19:15.520 ⇒ 00:19:19.840 Hannah Wang: Yeah. See? You see you later. Okay, bye-bye.
206 00:19:19.840 ⇒ 00:19:20.430 Amber Lin: And.