Meeting Title: Amber x Ryan | CatchUP! Date: 2025-03-11 Meeting participants: Ryan Brosas, Amber Lin
WEBVTT
1 00:04:39.060 ⇒ 00:04:42.990 Amber Lin: Hi, Ryan, I’m so sorry I didn’t know you were here.
2 00:05:23.230 ⇒ 00:05:24.650 Amber Lin: Hello!
3 00:05:32.260 ⇒ 00:05:32.940 Amber Lin: Hmm!
4 00:05:35.220 ⇒ 00:05:37.169 Amber Lin: Right. I can’t hear you.
5 00:05:41.570 ⇒ 00:05:43.200 Ryan Brosas: Hello! Good morning! Can you hear me now?
6 00:05:43.420 ⇒ 00:05:45.940 Amber Lin: Good morning. Yes, I can hear you now.
7 00:05:46.100 ⇒ 00:05:55.739 Amber Lin: I’m so sorry you were here earlier. I didn’t know you were here because I checked my calendar, and I wasn’t sure if you were able to join or not.
8 00:05:56.800 ⇒ 00:06:01.759 Ryan Brosas: Yeah, I didn’t. I just like confirm it. Yes,
9 00:06:02.210 ⇒ 00:06:03.390 Amber Lin: I see, I see.
10 00:06:03.390 ⇒ 00:06:04.515 Ryan Brosas: Early this morning.
11 00:06:05.130 ⇒ 00:06:05.800 Amber Lin: Hmm!
12 00:06:06.410 ⇒ 00:06:13.980 Amber Lin: How you been doing so late for you? Well, not that late for your body clock right now.
13 00:06:14.500 ⇒ 00:06:35.230 Ryan Brosas: Yeah, it’s kinda like, when I was like working on a corporate. Yeah, I was a call center agent. So basically, it’s normal routine to me. So it’s kind of been my time of, you know my morning instead of like my evening. Yeah.
14 00:06:35.880 ⇒ 00:06:36.890 Amber Lin: Wow!
15 00:06:37.740 ⇒ 00:06:41.499 Amber Lin: Wait! How how long have you been working at this company?
16 00:06:42.792 ⇒ 00:06:51.406 Ryan Brosas: I I think. 5 months, 4 months something. Arranging those months.
17 00:06:52.850 ⇒ 00:06:59.920 Amber Lin: How do you feel about it? Cause I just I just started 4 days ago.
18 00:07:00.470 ⇒ 00:07:03.349 Ryan Brosas: Yeah, welcome. So
19 00:07:04.460 ⇒ 00:07:16.099 Ryan Brosas: yeah, I think it’s good. I learned a lot of stuff like automation and a stuff. When when I started here. I
20 00:07:16.900 ⇒ 00:07:17.900 Ryan Brosas: I
21 00:07:19.054 ⇒ 00:07:30.525 Ryan Brosas: I tried like doing stuff like I think that I’m not going. I think that what they call this like doing some AI stuff like
22 00:07:31.430 ⇒ 00:07:59.040 Ryan Brosas: like like building like a workflow on in it. And and you know, right now I’m moving on like other framework, like pedantic AI, it’s quite in yes, well, this company introduced me to like AI automation, and you know, stuff. So it’s kinda a a good right right now, you know. I’m I’m learning a lot. And and and it’s it’s
23 00:07:59.040 ⇒ 00:08:14.637 Ryan Brosas: and it’s new to me, because it’s data and AI and I don’t have really experience of like doing stuff on on that specific niches. So it’s it’s really
24 00:08:15.160 ⇒ 00:08:15.680 Ryan Brosas: No.
25 00:08:15.680 ⇒ 00:08:26.870 Amber Lin: Writing articles about that. No one would know that you don’t know about it like writing articles about it really makes you learn it fully.
26 00:08:28.200 ⇒ 00:08:28.770 Ryan Brosas: Yeah.
27 00:08:29.590 ⇒ 00:08:47.590 Amber Lin: Yeah, I saw I saw your call with the SEO guy, and then I tried their tool. You know the right blogger tool, and it’s it’s all right, cause I also write blogs for my own Linkedin, and I write stuff
28 00:08:48.312 ⇒ 00:09:04.079 Amber Lin: for my own Instagram, too. So I was just very interested to talk to you about all the stuff that you use and like what you have learned, because I I imagine it’s just been 5 months of very intense learning how to do content creation.
29 00:09:05.320 ⇒ 00:09:24.352 Ryan Brosas: Yeah. I utilize AI much a lot. Like I built some interview bot or and like the cons on like content stuff. I used like a deconstruction, but so I could learn how you know
30 00:09:24.990 ⇒ 00:09:33.924 Ryan Brosas: influencers that how they can, you know, construct their their content. I think that’s really
31 00:09:34.450 ⇒ 00:09:35.060 Amber Lin: Yeah.
32 00:09:36.140 ⇒ 00:09:40.280 Amber Lin: So it takes someone’s pose and analyzes the structure.
33 00:09:40.890 ⇒ 00:09:52.256 Ryan Brosas: Yeah, that’s really what I’m currently doing. I I deconstruct their their content. It’s well, it’s currently you know.
34 00:09:53.070 ⇒ 00:10:06.839 Ryan Brosas: like working. So I don’t want. I didn’t really want to, you know, reinvent, though. We also yeah, I think that’s really you know. My, my thinking there to just copy and.
35 00:10:07.060 ⇒ 00:10:10.110 Amber Lin: Bot that analyzes people’s posts.
36 00:10:11.000 ⇒ 00:10:12.744 Ryan Brosas: Yeah. For example.
37 00:10:13.350 ⇒ 00:10:14.090 Amber Lin: Hello!
38 00:10:16.060 ⇒ 00:10:16.630 Ryan Brosas: Hi.
39 00:10:17.230 ⇒ 00:10:18.060 Amber Lin: Go ahead!
40 00:10:19.328 ⇒ 00:10:23.269 Ryan Brosas: For example, if you want let me share some. My screen.
41 00:10:23.270 ⇒ 00:10:23.820 Amber Lin: And.
42 00:10:25.020 ⇒ 00:10:25.730 Ryan Brosas: Oh.
43 00:10:38.170 ⇒ 00:10:40.490 Ryan Brosas: let me share my screen
44 00:10:57.950 ⇒ 00:11:03.290 Ryan Brosas: here. For example, this one is like an interview, but
45 00:11:04.163 ⇒ 00:11:07.016 Ryan Brosas: like it can.
46 00:11:08.640 ⇒ 00:11:15.229 Ryan Brosas: I would call this. The bot will interview you, and, if you like, you know, share something here.
47 00:11:15.570 ⇒ 00:11:17.530 Ryan Brosas: then it will like.
48 00:11:17.530 ⇒ 00:11:18.040 Amber Lin: Yes.
49 00:11:18.040 ⇒ 00:11:26.769 Ryan Brosas: It’s more like the flowy converse conversation. Then you you can ask it like, can you turn this to an outline?
50 00:11:27.870 ⇒ 00:11:30.000 Ryan Brosas: I am here.
51 00:11:30.000 ⇒ 00:11:36.729 Amber Lin: That’s so cute. Oh, did you? You made it? It’s a custom. Gpt right.
52 00:11:36.730 ⇒ 00:11:38.771 Amber Lin: Yes, I made it
53 00:11:39.180 ⇒ 00:11:43.229 Amber Lin: It’s called Master Chat Gp.
54 00:11:47.070 ⇒ 00:11:56.899 Ryan Brosas: And, for example, what will be this Dustin wash that involves
55 00:12:01.240 ⇒ 00:12:02.270 Ryan Brosas: here.
56 00:12:09.260 ⇒ 00:12:10.180 Amber Lin: Oh, okay.
57 00:12:12.080 ⇒ 00:12:20.030 Amber Lin: Oh, you give it a structure first, st and then, oh, wow!
58 00:12:21.430 ⇒ 00:12:28.100 Ryan Brosas: Here you can. We’ll provide something like not this one.
59 00:12:28.620 ⇒ 00:12:29.160 Amber Lin: Cool.
60 00:12:31.530 ⇒ 00:12:41.760 Ryan Brosas: the one. This is not the one this is like a right print like here. So here’s like the actual
61 00:12:43.860 ⇒ 00:12:44.530 Amber Lin: Damn!
62 00:12:45.240 ⇒ 00:12:46.935 Ryan Brosas: Content here like
63 00:12:47.500 ⇒ 00:12:48.020 Amber Lin: Oh!
64 00:12:49.580 ⇒ 00:12:54.920 Ryan Brosas: You would like a strong, intriguing statement that might be stunning.
65 00:12:54.920 ⇒ 00:12:55.340 Amber Lin: Doesn’t, sir.
66 00:12:55.340 ⇒ 00:13:06.019 Ryan Brosas: Pricing benefit and I think this is the a current content. Process that I use for brainforge.
67 00:13:07.610 ⇒ 00:13:08.800 Ryan Brosas: And yeah.
68 00:13:08.800 ⇒ 00:13:16.909 Amber Lin: Wow! So is there a bot for you that finds the top performing posts? Or do you have to find them.
69 00:13:18.148 ⇒ 00:13:22.090 Ryan Brosas: Yeah, it’s amount. It’s a manual I just stick
70 00:13:22.440 ⇒ 00:13:28.660 Ryan Brosas: Justin Welsh and like Dickie Bush. What else?
71 00:13:28.790 ⇒ 00:13:39.249 Ryan Brosas: And those something like, those influencer that is more has like a formula on their on their on their content.
72 00:13:39.877 ⇒ 00:13:48.442 Ryan Brosas: Yeah, I think that’s it’s pretty manual, but it’s, you know, if it’s working. And yeah, I think that’s
73 00:13:48.960 ⇒ 00:13:51.439 Ryan Brosas: that’s all for the content side.
74 00:13:51.610 ⇒ 00:14:00.440 Ryan Brosas: And yeah, I think for the blog post. Yeah. For the blog post. It’s still the same we can like
75 00:14:01.633 ⇒ 00:14:06.340 Ryan Brosas: I use like Neil Patel Blog post for that.
76 00:14:09.640 ⇒ 00:14:17.169 Ryan Brosas: Like we have the key takeaways. And I think I’ll be adding, like the Faqs like we have there.
77 00:14:18.210 ⇒ 00:14:25.061 Ryan Brosas: And yeah, I think this is the current process that I have for
78 00:14:25.990 ⇒ 00:14:29.545 Ryan Brosas: in the content or in the marketing side.
79 00:14:30.480 ⇒ 00:14:44.250 Amber Lin: That’s so cool because I’ve been writing Linkedin posts, and some of them perform well, some of them, don’t I? I just started last month. So, and I was like, maybe I should create a bot
80 00:14:44.250 ⇒ 00:15:11.610 Amber Lin: that analyzes all the top performing Linkedin posts. But then I will have to scrape the web the posts, and I don’t know if I can do that or not. But essentially, that’s just a manual part of search. And then what you have is just so awesome because you have to. We all always even sorry in the bot that I want to create. We have to deconstruct it and then ask it to create
81 00:15:11.640 ⇒ 00:15:14.180 Amber Lin: content based on that.
82 00:15:14.350 ⇒ 00:15:15.610 Amber Lin: And so
83 00:15:15.790 ⇒ 00:15:23.120 Amber Lin: this deconstruction? It’s so cool like, do you? Do you have a document that you feed into it?
84 00:15:24.905 ⇒ 00:15:26.355 Ryan Brosas: For this
85 00:15:27.860 ⇒ 00:15:30.389 Amber Lin: Can I get a copy of that dog.
86 00:15:32.312 ⇒ 00:15:43.119 Ryan Brosas: Yeah, I can. I can make a button share it to you. So you can. Just you know, copy paste the the whole content, and
87 00:15:43.440 ⇒ 00:15:47.320 Ryan Brosas: and you know it. It will provide you the whole stuff here.
88 00:15:47.810 ⇒ 00:15:56.389 Amber Lin: And I know if we’re on the paid plan, we can just create custom custom bots, custom agents right.
89 00:15:56.910 ⇒ 00:16:24.849 Ryan Brosas: Yeah, yeah, we are in the pro plan, I, and currently, is sharing this this account. So I all of my, what’s here is currently here. I think I deleted most of the other stuff like the 100 M offer and the 100 like M. Leads. But I will provide those to like I will, you know.
90 00:16:25.200 ⇒ 00:16:34.489 Ryan Brosas: Make again those Gpt, if you’re interested on those. There’s like a lot of iteration here. But yeah, this is all.
91 00:16:36.250 ⇒ 00:16:40.750 Amber Lin: Wow! So is this all for our content?
92 00:16:42.566 ⇒ 00:16:43.679 Ryan Brosas: This is.
93 00:16:43.680 ⇒ 00:16:46.049 Amber Lin: Offering. That’s crazy.
94 00:16:47.633 ⇒ 00:16:59.076 Ryan Brosas: We have like a comment. But well, I’m still like right duration right in the iteration here, like it’s kind of providing me like a good
95 00:16:59.690 ⇒ 00:17:06.710 Ryan Brosas: like. Not AI ish responses.
96 00:17:17.520 ⇒ 00:17:19.030 Ryan Brosas: yeah, huh!
97 00:17:23.890 ⇒ 00:17:24.599 Ryan Brosas: Hmm!
98 00:17:26.609 ⇒ 00:17:27.150 Ryan Brosas: And but.
99 00:17:27.150 ⇒ 00:17:34.740 Amber Lin: Now when I go on Linkedin, and keep all keep thinking. Oh, this person did not read my post. That gave me AI comment.
100 00:17:36.740 ⇒ 00:17:37.680 Ryan Brosas: Yeah.
101 00:17:37.690 ⇒ 00:17:39.719 Amber Lin: It looks pretty nice.
102 00:17:40.520 ⇒ 00:17:46.473 Ryan Brosas: Yeah, I’m still like working on this to make it more like human touch.
103 00:17:46.870 ⇒ 00:17:50.199 Amber Lin: How do you make it more like? What do you do?
104 00:17:52.252 ⇒ 00:18:07.429 Ryan Brosas: I provided some context because AI is more more like what what you call this, the like patterns. So I use some some
105 00:18:07.970 ⇒ 00:18:09.730 Ryan Brosas: samples.
106 00:18:09.940 ⇒ 00:18:19.809 Ryan Brosas: and also like restriction. Because if we don’t like pro, provide restriction on that, it’s just going to. For example, this one
107 00:18:20.190 ⇒ 00:18:24.630 Ryan Brosas: they love to use this hyper, M. Dash.
108 00:18:25.050 ⇒ 00:18:38.269 Ryan Brosas: And yeah, there’s like you. Just you can just use once a hypo and you other stuff like what they call this academic writing and other stuff
109 00:18:38.430 ⇒ 00:18:40.000 Ryan Brosas: that they love to use.
110 00:18:40.600 ⇒ 00:18:43.699 Amber Lin: Yeah. And they love emojis. Oh.
111 00:18:43.700 ⇒ 00:18:45.606 Ryan Brosas: Yeah, yeah.
112 00:18:46.570 ⇒ 00:18:53.509 Amber Lin: Every time I’m like, Oh, my God! My dog looks like AI, because there is a checkmark Emoji, and the rocket emoji.
113 00:18:53.510 ⇒ 00:19:03.620 Ryan Brosas: Yeah, okay, you can minimize that by restriction. Yeah, I can provide like, a
114 00:19:03.960 ⇒ 00:19:12.500 Ryan Brosas: like a comment. But with that specific usage. And yeah, I’ll I’ll share that to like an slp or something.
115 00:19:12.500 ⇒ 00:19:23.379 Amber Lin: Yeah, can I? Can. I actually see, I know creating. Gpt, you need to give them documents. I’m very curious to see the documents that you gave to these
116 00:19:23.570 ⇒ 00:19:30.139 Amber Lin: Gpts just to get a sense of if I want to create anything, what should I look at.
117 00:19:31.280 ⇒ 00:19:33.380 Ryan Brosas: Or this.
118 00:19:33.380 ⇒ 00:19:36.900 Amber Lin: Maybe that’s just the biggest one. Yeah, let’s just see what it’s like.
119 00:19:39.215 ⇒ 00:19:40.365 Ryan Brosas: Yeah. Here.
120 00:19:41.280 ⇒ 00:19:44.220 Amber Lin: Oh, Hi!
121 00:19:47.940 ⇒ 00:19:49.790 Amber Lin: I see!
122 00:19:49.960 ⇒ 00:19:52.919 Amber Lin: Did you write all that? It’s so cool.
123 00:19:53.590 ⇒ 00:20:03.279 Ryan Brosas: Yeah, I learned like I I learned for the what do you call this the prompting part?
124 00:20:04.256 ⇒ 00:20:15.990 Ryan Brosas: Engineering. So I came up with this to be more conversational, because you know, yeah,
125 00:20:16.590 ⇒ 00:20:20.970 Amber Lin: Oh, howdy, partner!
126 00:20:24.200 ⇒ 00:20:27.410 Amber Lin: Wow! That is so cool.
127 00:20:27.700 ⇒ 00:20:36.590 Amber Lin: I probably I think I can log in with pro if I get permission from the Ops team.
128 00:20:37.320 ⇒ 00:20:37.775 Ryan Brosas: Yeah.
129 00:20:38.230 ⇒ 00:20:46.170 Amber Lin: Hopefully just log in and have conversations, but if it messes up or you do, I’ll just stay away from that.
130 00:20:47.460 ⇒ 00:20:56.190 Ryan Brosas: Yeah. You can just log in and ask for like a thumbs like like a code something.
131 00:20:56.810 ⇒ 00:21:02.190 Ryan Brosas: and he will provide you as he are sharing these
132 00:21:03.291 ⇒ 00:21:08.440 Ryan Brosas: pro account because you want to utilize this more.
133 00:21:11.940 ⇒ 00:21:17.660 Ryan Brosas: Yeah, I can share. I can share the credential for the pro account. Then you can.
134 00:21:18.320 ⇒ 00:21:19.650 Ryan Brosas: Yeah, did you hear me?
135 00:21:20.910 ⇒ 00:21:28.670 Ryan Brosas: And I think I already like provided like an sop for the other stuff that I’m currently doing on
136 00:21:30.000 ⇒ 00:21:37.490 Ryan Brosas: on, on our content, for example, the the research, the research material
137 00:21:37.930 ⇒ 00:21:42.900 Ryan Brosas: here. This is the on. You can use this on the reasoning model.
138 00:21:43.469 ⇒ 00:21:50.143 Ryan Brosas: This is the goal. We have to object, the role and objective and context
139 00:21:51.880 ⇒ 00:21:56.200 Ryan Brosas: context dump and some other additional instruction.
140 00:21:58.920 ⇒ 00:21:59.909 Ryan Brosas: And here.
141 00:22:00.840 ⇒ 00:22:04.199 Amber Lin: Sop means go above.
142 00:22:05.200 ⇒ 00:22:06.849 Amber Lin: What does sop mean?
143 00:22:09.077 ⇒ 00:22:11.229 Ryan Brosas: Standard operating process.
144 00:22:11.230 ⇒ 00:22:13.639 Amber Lin: Oh, okay, okay. I see. I see.
145 00:22:15.964 ⇒ 00:22:30.830 Ryan Brosas: Yeah. Here, this the my, my 3. Well, 2 prompt that I’m currently using to do like a deep research. like article you can. You can use this also.
146 00:22:31.370 ⇒ 00:22:31.790 Amber Lin: Yeah.
147 00:22:32.730 ⇒ 00:22:40.810 Amber Lin: look into that. Do you have like a list of content ideas running because I keep. I sort of keep a
148 00:22:41.050 ⇒ 00:22:46.939 Amber Lin: project management board of. Oh, I have all these ideas and dump them there, and just track each
149 00:22:47.557 ⇒ 00:22:53.629 Amber Lin: track, each progress. How is that for you? How do you manage all these different posts and ideas.
150 00:22:55.432 ⇒ 00:23:07.619 Ryan Brosas: For me. On on here. I just do like a checklist. For example, the
151 00:23:11.470 ⇒ 00:23:14.709 Ryan Brosas: as your blog topic list and goals
152 00:23:14.900 ⇒ 00:23:17.874 Ryan Brosas: I just make like a lease
153 00:23:19.240 ⇒ 00:23:27.809 Ryan Brosas: like here. I just if I if I tackled a specific list here, or a topic, I just
154 00:23:28.353 ⇒ 00:23:31.249 Ryan Brosas: toggle, and you know, remove it.
155 00:23:33.770 ⇒ 00:23:35.060 Ryan Brosas: And
156 00:23:35.410 ⇒ 00:23:44.020 Ryan Brosas: if you’re if you’re putting a lot of like ideas, or like content content ideas on on, on
157 00:23:44.180 ⇒ 00:23:49.159 Ryan Brosas: or on on a project management. App.
158 00:23:49.280 ⇒ 00:24:00.649 Ryan Brosas: I think, at least would be a good way to monitor, if you’re if you already done with it, or if you already used on on it.
159 00:24:00.940 ⇒ 00:24:07.979 Ryan Brosas: and like like, build like a toll, like a like like, what do you call this?
160 00:24:08.700 ⇒ 00:24:19.830 Ryan Brosas: You can build like top of the topic is how to my, and
161 00:24:27.710 ⇒ 00:24:37.120 Ryan Brosas: you can just put this, then couple and
162 00:24:37.740 ⇒ 00:24:55.309 Amber Lin: You. I I’ve got a shortcut if you go to the next line, and if you do the you know the triangle bracket on your keyboard. If you do that and press space, it’ll become. You don’t need to do backslash. Just let just type in.
163 00:24:56.189 ⇒ 00:25:02.099 Amber Lin: Okay, delete the backslash, and then we’ll do 2 square brackets, and then it will become.
164 00:25:02.680 ⇒ 00:25:08.939 Amber Lin: It’ll become a list, and you can do it in front of any text. So you don’t have to copy and paste again.
165 00:25:09.090 ⇒ 00:25:16.980 Amber Lin: So if you already have some text, some so write some random text, and then you put the square bracket in front of it. It still works.
166 00:25:20.380 ⇒ 00:25:21.050 Amber Lin: Yeah.
167 00:25:24.131 ⇒ 00:25:35.940 Amber Lin: yes. And then for the toggle list, it’s the it’s the key, you know. The 2 keys after, between M. And the question mark, if you do that
168 00:25:36.150 ⇒ 00:25:44.310 Amber Lin: like a square bracket pointing to a triangle pointing to the right, you know that sign it will.
169 00:25:45.390 ⇒ 00:25:48.680 Amber Lin: So it’s the key next to M.
170 00:25:49.050 ⇒ 00:25:51.779 Amber Lin: So we also don’t need a
171 00:25:52.200 ⇒ 00:25:55.709 Amber Lin: let me let me show you. Actually, it was pretty fun.
172 00:25:56.240 ⇒ 00:26:04.420 Amber Lin: Yeah, yeah, right that it. It makes it. It makes it so much easier. Anyways, you were saying I I cut you off.
173 00:26:08.850 ⇒ 00:26:10.620 Ryan Brosas: You can build like that.
174 00:26:11.330 ⇒ 00:26:12.180 Ryan Brosas: Oh.
175 00:26:12.360 ⇒ 00:26:13.590 Amber Lin: Oh!
176 00:26:17.200 ⇒ 00:26:22.850 Ryan Brosas: So you can track all of the progress for that specific content idea.
177 00:26:23.666 ⇒ 00:26:31.960 Ryan Brosas: Yeah, I think that’s this is really useful for me. It. And also, like I just learned like, this
178 00:26:32.180 ⇒ 00:26:39.286 Ryan Brosas: 5 months. I just learned to use, like, you know, a motion I usually use like click up, or and you know
179 00:26:39.610 ⇒ 00:26:40.469 Amber Lin: Yeah, I’ve seen
180 00:26:41.110 ⇒ 00:26:58.339 Amber Lin: in Clickup forever. And I know they’re trying to move to linear, which is kind of similar to click up. So once I get more ideas about what linear is like. I can see if you want to migrate there for your task management.
181 00:26:59.300 ⇒ 00:27:01.502 Ryan Brosas: Yeah, yeah, looking forward to that.
182 00:27:02.110 ⇒ 00:27:18.489 Amber Lin: Okay, I will. I will take note of that, and I will get it started because I have 2 other projects that I need to migrate on linear 2 client projects. And I’m just really, really interested in content because I do this personally as well.
183 00:27:19.610 ⇒ 00:27:23.009 Ryan Brosas: Yeah, I think. Yeah.
184 00:27:23.240 ⇒ 00:27:49.469 Ryan Brosas: thank you for having a time with me. And yeah, I I if you have like any question on how to make like a lot of ideas on on using like AI well, I already provided some. But yeah, I can. I can make like a bot on on, if it to be like a useful thing to
185 00:27:51.150 ⇒ 00:27:51.780 Amber Lin: Okay.
186 00:27:51.890 ⇒ 00:28:07.200 Amber Lin: I really appreciate that, and I will. I will ask you for the credentials to the pro bot. So you don’t have to send any individual ones to me, and I am so excited to check them out. They seem really cool.
187 00:28:08.600 ⇒ 00:28:12.259 Ryan Brosas: Yeah, yeah, excited to to have like a feedback. Also.
188 00:28:12.550 ⇒ 00:28:13.250 Amber Lin: Yay
189 00:28:14.110 ⇒ 00:28:26.890 Amber Lin: any fee so I’ll use it, and if you need any feedback I am. I am happy to give any, though I think you’re the more expert on there, so I don’t know how useful my feedback would be.
190 00:28:28.500 ⇒ 00:28:33.889 Ryan Brosas: Any feedback would be appreciated. Because I can like, you know. We can.
191 00:28:34.423 ⇒ 00:28:42.120 Ryan Brosas: You know, make it better as we want to do like reiteration more on
192 00:28:42.300 ⇒ 00:28:44.270 Ryan Brosas: Hero. It’s not in here.
193 00:28:44.270 ⇒ 00:28:56.820 Amber Lin: Okay. Sounds good. Ryan. I have to run to another meeting. Thank you so much for meeting with me. It is very insightful, and you explain things so well. So I am. I am very happy.
194 00:28:57.780 ⇒ 00:28:59.479 Ryan Brosas: Yeah, thank you very much.
195 00:28:59.820 ⇒ 00:29:02.860 Amber Lin: Okay, I’m gonna run. Bye-bye.
196 00:29:03.140 ⇒ 00:29:03.860 Ryan Brosas: Bye-bye.