Meeting Title: Friday Brainforge Demos & Retro Date: 2025-09-19 Meeting participants: Justina Spinn, Justin Breshears, Samuel Roberts, Mustafa Raja, Casie Aviles, Rico Rejoso, Awaish Kumar, Hannah Wang, Shreya Chowdhury, Ryan Brosas, Amber Lin, Demilade Agboola, Anne, Raymund Verzosa, Henry Zhao
WEBVTT
1 00:00:40.310 ⇒ 00:00:41.220 Samuel Roberts: Morning.
2 00:00:44.340 ⇒ 00:00:45.660 Justin Breshears: Good mornin’.
3 00:01:17.410 ⇒ 00:01:18.939 Samuel Roberts: How are people doing today?
4 00:01:21.410 ⇒ 00:01:22.270 Justin Breshears: You know?
5 00:01:22.690 ⇒ 00:01:26.869 Justin Breshears: I’ve had better weeks before, but life goes on.
6 00:01:27.180 ⇒ 00:01:28.509 Samuel Roberts: Okay, good.
7 00:01:29.460 ⇒ 00:01:33.520 Samuel Roberts: Been enjoying the weather here in Cleveland the last few days. I’ve been working outside.
8 00:01:33.710 ⇒ 00:01:34.570 Justin Breshears: Nice.
9 00:01:34.570 ⇒ 00:01:35.519 Samuel Roberts: Good weather.
10 00:01:35.760 ⇒ 00:01:42.710 Samuel Roberts: It’s been beautiful, and it… my office is in the attic, and so when the weather’s really nice and the sun’s out, it bakes up there.
11 00:01:42.820 ⇒ 00:01:43.670 Justin Breshears: Nice.
12 00:01:43.670 ⇒ 00:01:48.169 Samuel Roberts: So I’m kind of just enjoying the weather and not sweating at my desk.
13 00:01:49.050 ⇒ 00:01:49.760 Justin Breshears: Yeah.
14 00:01:49.940 ⇒ 00:01:51.110 Justin Breshears: Always a good thing.
15 00:01:51.110 ⇒ 00:01:51.960 Samuel Roberts: Oh, yeah.
16 00:01:53.850 ⇒ 00:01:57.900 Justin Breshears: Still… still brutal summer down here in Texas, so…
17 00:01:57.900 ⇒ 00:01:58.470 Samuel Roberts: Mmm.
18 00:01:58.470 ⇒ 00:01:59.749 Justin Breshears: We’re not quite there.
19 00:02:01.620 ⇒ 00:02:08.360 Samuel Roberts: Yeah. I thought it was getting… I thought we had turned a corner here, but had a few nice 70-something degree days, so…
20 00:02:08.470 ⇒ 00:02:10.009 Justin Breshears: Enjoying it while it lasts.
21 00:02:10.190 ⇒ 00:02:11.729 Justin Breshears: Yeah, got to.
22 00:02:36.830 ⇒ 00:02:41.400 Justin Breshears: Well, I know… I don’t see Robert either. I think Robert and…
23 00:02:41.630 ⇒ 00:02:46.490 Justin Breshears: Utom are both heading back from Chicago, so I don’t know who usually.
24 00:02:46.590 ⇒ 00:02:47.919 Samuel Roberts: Kicks these things off.
25 00:02:49.600 ⇒ 00:02:52.280 Justin Breshears: What runs these meetings? Is it usually them?
26 00:02:52.620 ⇒ 00:02:56.029 Samuel Roberts: No, usually it seems like it’s delegated to someone, I don’t know who it is.
27 00:02:56.280 ⇒ 00:02:59.750 Hannah Wang: Yeah, it’s… I think it’s… Brian?
28 00:03:00.020 ⇒ 00:03:01.599 Hannah Wang: I don’t know where it goes out, right?
29 00:03:01.610 ⇒ 00:03:02.170 Justin Breshears: Okay.
30 00:03:02.560 ⇒ 00:03:08.650 Justin Breshears: I’m always… Happy to jump in, but… Did they go.
31 00:03:09.220 ⇒ 00:03:12.369 Samuel Roberts: Yeah, yeah, no, not the first time, I guess.
32 00:03:13.180 ⇒ 00:03:15.049 Justin Breshears: Let’s see what Amber thinks, she just joined.
33 00:03:18.230 ⇒ 00:03:25.519 Hannah Wang: Yeah, I mean, usually, yeah, the presenter kind of… or the host of the meeting, there’s different hosts every week.
34 00:03:25.520 ⇒ 00:03:25.950 Samuel Roberts: Yeah.
35 00:03:25.950 ⇒ 00:03:29.749 Hannah Wang: So, yeah, Ryan, you can kind of kickstart us.
36 00:03:29.750 ⇒ 00:03:30.310 Samuel Roberts: Perfect.
37 00:03:30.310 ⇒ 00:03:40.299 Ryan Brosas: Hey guys, I hope you’re having a great Friday morning. So, I will… my name is Ryan, and I will be your host to the, Portuguese Friday next session.
38 00:03:40.490 ⇒ 00:03:51.280 Ryan Brosas: So, yeah, so let’s… kick in, so… Agenda… Rv school in…
39 00:03:51.420 ⇒ 00:04:08.340 Ryan Brosas: Yeah, I think we are full in. So, we can start this session with a simple icebreak, icebreaker. So, I just, saw this on the internet that, passed the compliment, so each person give a quick, appropriate
40 00:04:08.340 ⇒ 00:04:14.660 Ryan Brosas: Compliment to the next person, or, well, your, you know, Whoa.
41 00:04:14.860 ⇒ 00:04:23.709 Ryan Brosas: wherever, you want to. So, for example, our pastor, Rico always has great idea, and, like.
42 00:04:24.080 ⇒ 00:04:30.910 Ryan Brosas: high-pasture ray will bring great energy. That’s the example of This, icebreaker.
43 00:04:32.480 ⇒ 00:04:47.579 Ryan Brosas: For some, I can start, so I can, pass to, Rico, who is, very helpful to us to being… stay, staying as organized and, well, productive.
44 00:04:48.170 ⇒ 00:04:49.490 Ryan Brosas: then I reco…
45 00:04:49.670 ⇒ 00:04:56.830 Ryan Brosas: will be the one who will, pass to someone again. Of course, that is the cycle of it.
46 00:05:00.120 ⇒ 00:05:01.699 Rico Rejoso: Okay, so I’ll go next, right?
47 00:05:02.200 ⇒ 00:05:02.780 Ryan Brosas: Death.
48 00:05:03.320 ⇒ 00:05:09.250 Rico Rejoso: Yeah, passing it to, Cassie for…
49 00:05:09.510 ⇒ 00:05:16.320 Rico Rejoso: I mean, being available whenever I need, help when it comes to the, when it comes to AI stuff.
50 00:05:16.450 ⇒ 00:05:29.589 Rico Rejoso: And even though it’s past the shift, he was always, like, providing assistance on how I can, better implement stuff, especially I’m new to, AI things, and, you know,
51 00:05:29.800 ⇒ 00:05:32.600 Rico Rejoso: Making workflows and everything, so… yeah.
52 00:05:32.930 ⇒ 00:05:33.760 Rico Rejoso: Guessing?
53 00:05:33.990 ⇒ 00:05:34.930 Rico Rejoso: Thanks, man.
54 00:05:37.050 ⇒ 00:05:40.080 Hannah Wang: I don’t think he’s here, you should message him that.
55 00:05:42.460 ⇒ 00:05:45.399 Rico Rejoso: He was here a while ago, I saw him.
56 00:05:45.730 ⇒ 00:05:46.270 Hannah Wang: I see.
57 00:05:46.270 ⇒ 00:05:48.839 Samuel Roberts: Yeah, he was on earlier, he was one of the first few.
58 00:05:51.270 ⇒ 00:05:52.039 Rico Rejoso: Oh, they can…
59 00:05:52.040 ⇒ 00:05:52.510 Hannah Wang: someone else.
60 00:05:52.510 ⇒ 00:05:56.359 Rico Rejoso: Yeah, same goes with Mustafa, I guess.
61 00:05:57.910 ⇒ 00:06:04.490 Rico Rejoso: both of them are, like, very, assisting when it comes to AI stuff. I usually go to them whenever I…
62 00:06:04.930 ⇒ 00:06:12.739 Rico Rejoso: need help when it comes to inter-client projects or making things work on the operations side, so yeah.
63 00:06:13.160 ⇒ 00:06:18.200 Rico Rejoso: AI team guys who were very helpful with, with the progress on the operations side.
64 00:06:18.470 ⇒ 00:06:19.430 Rico Rejoso: Thanks, guys.
65 00:06:21.830 ⇒ 00:06:29.900 Mustafa Raja: Thank you. So, for me, this whole team is really good in terms of
66 00:06:30.000 ⇒ 00:06:42.059 Mustafa Raja: communication and all. This, the co-workers I have, this, I would say, this is the ideal team that I would ever want.
67 00:06:42.120 ⇒ 00:06:54.150 Mustafa Raja: So I’m really happy over here. Especially Sam, he has been, a really good help, for us. So, I’ll pass it over to Sam.
68 00:06:55.220 ⇒ 00:07:12.590 Samuel Roberts: Thank you, Mustafo. That’s great to hear. I will pass it to Anna, who had some great feedback on the platform. I really appreciate, someone playing around on the platform and having some good design sense, because I don’t. So, I appreciate that.
69 00:07:13.150 ⇒ 00:07:14.090 Hannah Wang: Thank you.
70 00:07:14.350 ⇒ 00:07:24.479 Hannah Wang: Alright, Amber, thanks for PMing basically every area that I’m in.
71 00:07:24.970 ⇒ 00:07:28.630 Hannah Wang: Go to market to design,
72 00:07:28.930 ⇒ 00:07:43.200 Hannah Wang: yeah, just appreciate having you, listen through all the pain points that I have, and then proposing ideas for it. You’re a great listener, and I feel like, yeah, you make people feel very comfortable, so thank you for…
73 00:07:43.550 ⇒ 00:07:47.420 Hannah Wang: Letting me feel comfortable here.
74 00:07:49.010 ⇒ 00:08:00.579 Amber Lin: Thank you, I… I think I can only say one person. That’s very sad. I have multiple things I want to say, but I will pass it on to Awash,
75 00:08:01.100 ⇒ 00:08:13.159 Amber Lin: I think on all the projects I have been PMing, I’ve been partnering… most of it I’ve been partnering with Awash, and he has been really, really helpful on things that…
76 00:08:13.330 ⇒ 00:08:21.319 Amber Lin: I am not as firm on, especially on the hours, and then different recommendations, and I think,
77 00:08:21.620 ⇒ 00:08:30.059 Amber Lin: Which really thinks about the business and how we can improve that, and is… and really has helped our projects become…
78 00:08:30.520 ⇒ 00:08:41.240 Amber Lin: Better, and it’s always been really great to work with him, and then see all the, the efforts he makes for the company.
79 00:08:41.340 ⇒ 00:08:48.389 Amber Lin: And I want to point that out, and make sure everybody… knows that.
80 00:08:51.150 ⇒ 00:08:54.099 Awaish Kumar: Thank you, yeah, it’s nice to work with you as well.
81 00:09:04.140 ⇒ 00:09:06.530 Amber Lin: I wish you’ll have to pass it on to someone.
82 00:09:07.870 ⇒ 00:09:09.210 Awaish Kumar: Yeah.
83 00:09:09.720 ⇒ 00:09:13.580 Awaish Kumar: Same like you, I also have a lot of people where
84 00:09:13.900 ⇒ 00:09:16.180 Awaish Kumar: I could give them the compliments.
85 00:09:17.820 ⇒ 00:09:22.260 Awaish Kumar: But this… this week, first time I talked to Rico on 101,
86 00:09:22.440 ⇒ 00:09:25.719 Awaish Kumar: So I would just pass it to him.
87 00:09:27.450 ⇒ 00:09:34.529 Awaish Kumar: So, I have met with him, and it was really nice talking to him, knowing him as a person.
88 00:09:34.920 ⇒ 00:09:42.709 Awaish Kumar: And obviously, he has made his mark with the kind of work he’s doing on operations side, and the PMing.
89 00:09:42.950 ⇒ 00:09:43.660 Awaish Kumar: on.
90 00:09:44.590 ⇒ 00:09:49.970 Awaish Kumar: And it’s been really improving, how, patients with Benford’s work.
91 00:09:50.130 ⇒ 00:09:56.920 Awaish Kumar: And, And apart from that, knowing him as a person was really nice, also. Yep.
92 00:10:01.020 ⇒ 00:10:02.159 Rico Rejoso: Thanks, Arish.
93 00:10:04.880 ⇒ 00:10:10.660 Rico Rejoso: Although I’m done, you can redirect it to… Other people.
94 00:10:14.380 ⇒ 00:10:15.249 Ryan Brosas: There we go.
95 00:10:15.480 ⇒ 00:10:18.779 Amber Lin: I can also do it.
96 00:10:21.850 ⇒ 00:10:35.439 Amber Lin: I want to pass it to Justin. He’s been with us, I think, 2 weeks now, and things have changed drastically when he has… he has come on.
97 00:10:35.480 ⇒ 00:10:43.120 Amber Lin: Because having time allocations and stuff has always been our weak side, and we’ve sort of been in limbo for a long time, because…
98 00:10:43.200 ⇒ 00:11:03.089 Amber Lin: I just don’t have that much experience or the time to push things along, and Justin came on, and he was like, and then things have changed. So it’s been a very, very great journey to see how people manage projects properly, and then,
99 00:11:03.430 ⇒ 00:11:13.159 Amber Lin: he’s a really great person to work with, and I think more of the team would start working with Justin, and you guys would also see how great of a PM he is.
100 00:11:14.970 ⇒ 00:11:18.300 Justin Breshears: Well, you’re gonna make me tear up there, Amber.
101 00:11:18.300 ⇒ 00:11:19.170 Amber Lin: Hmm.
102 00:11:19.170 ⇒ 00:11:20.559 Justin Breshears: Very nice, thank you.
103 00:11:20.560 ⇒ 00:11:45.189 Justin Breshears: I haven’t gotten a chance to meet and work with most of you yet, so I hope, over the next few weeks, I will be able to spend some time with all of you. But yeah, it’s been a fun two weeks, and I’m excited to see what we can accomplish there. I will pass it to Shreya, because she is one of the people I have been able to work with so far that hasn’t already gone today. And yeah, it’s been cool to see, kind of.
104 00:11:45.190 ⇒ 00:12:04.549 Justin Breshears: or dive in on insomnia and, the insights that she’s starting to glean from their marketing campaigns and stuff. Like, we got a comment from the client yesterday that was like, oh, this is really interesting to see, like, we’ve never really thought of it that way, and stuff like that. So, bleh, can’t talk today, too much coffee.
105 00:12:04.550 ⇒ 00:12:12.689 Justin Breshears: I’m already getting to see, like, kind of, you know, what our work can do for these companies, and that’s kind of cool through that. So, nice job, Treya.
106 00:12:13.760 ⇒ 00:12:15.920 Shreya Chowdhury: Thank you, really appreciate it.
107 00:12:16.080 ⇒ 00:12:23.610 Shreya Chowdhury: I’m probably gonna pass the compliment to,
108 00:12:24.140 ⇒ 00:12:34.459 Shreya Chowdhury: back to Casey, I think he’s been really helpful whenever, I have a question, or there’s something about, the tech stack, or
109 00:12:34.570 ⇒ 00:12:48.270 Shreya Chowdhury: whatever that I’m not familiar with, like, he’s really quick to respond, and… yeah, if I’m ever looking for links or don’t know where something is, he’s really quick about helping me find it, too. So really appreciate it.
110 00:12:50.640 ⇒ 00:12:52.649 Casie Aviles: Yeah, thank you.
111 00:12:53.360 ⇒ 00:12:57.359 Casie Aviles: Yeah, I guess I’ll give compliment to…
112 00:12:58.330 ⇒ 00:13:01.089 Casie Aviles: What else has it been called? I just got back.
113 00:13:01.980 ⇒ 00:13:04.510 Casie Aviles: Sound?
114 00:13:05.990 ⇒ 00:13:09.060 Casie Aviles: We’ve been given… Yeah, okay.
115 00:13:09.820 ⇒ 00:13:13.970 Casie Aviles: So, I guess I’ll just compliment Sam. He’s been really helpful.
116 00:13:14.250 ⇒ 00:13:22.730 Casie Aviles: Today, I deem… It’s great that, you know, me, as someone who’s relatively new.
117 00:13:23.290 ⇒ 00:13:28.449 Casie Aviles: To the field. It’s good to, you know, get some guidance.
118 00:13:28.830 ⇒ 00:13:36.929 Casie Aviles: And yeah, it’s also… There’s a lot of stuff that… I’m very excited to learn.
119 00:13:37.120 ⇒ 00:13:43.850 Casie Aviles: Especially on… the technical side, but yeah, I guess that’s pretty much it.
120 00:13:52.710 ⇒ 00:13:57.600 Samuel Roberts: Yeah, I threw…
121 00:13:59.260 ⇒ 00:14:03.190 Samuel Roberts: Who else hasn’t? I don’t know where we are, because we bounced around a little bit now.
122 00:14:07.130 ⇒ 00:14:09.589 Hannah Wang: You can look at the comments Amber and I left.
123 00:14:09.590 ⇒ 00:14:10.170 Samuel Roberts: Thank you.
124 00:14:10.170 ⇒ 00:14:11.270 Hannah Wang: Thank you.
125 00:14:11.550 ⇒ 00:14:12.490 Hannah Wang: I didn’t know.
126 00:14:12.490 ⇒ 00:14:12.990 Samuel Roberts: God, yes.
127 00:14:18.860 ⇒ 00:14:22.270 Samuel Roberts: I’m gonna be honest, I haven’t worked a ton with everyone on this list now.
128 00:14:23.250 ⇒ 00:14:26.490 Samuel Roberts: But… That is okay. Yeah.
129 00:14:26.670 ⇒ 00:14:29.560 Hannah Wang: More reason to meet the rest of the team.
130 00:14:29.560 ⇒ 00:14:30.460 Samuel Roberts: Totally, totally.
131 00:14:30.460 ⇒ 00:14:31.729 Hannah Wang: Keep growing, yeah.
132 00:14:32.920 ⇒ 00:14:34.940 Samuel Roberts: Can I toss to someone? Toss to someone.
133 00:14:35.640 ⇒ 00:14:36.570 Samuel Roberts: Who else?
134 00:14:36.790 ⇒ 00:14:45.370 Hannah Wang: Maybe we can just… I can just wrap it up by giving it back to Ryan, because he started the whole circle. Perfect. Thank you, Ryan, for…
135 00:14:46.080 ⇒ 00:14:51.420 Hannah Wang: all that you do with content and go-to-market stuff, I feel like it’s a very fast-paced
136 00:14:51.460 ⇒ 00:15:06.090 Hannah Wang: environment, and you’re very quick to take feedback and iterate. So I appreciate you also helping me understand, like, all the automation and enrichment stuff with GoToMarket the past couple weeks, and helping me with the campaign,
137 00:15:06.760 ⇒ 00:15:08.950 Hannah Wang: campaign work that we’re doing, so thank you.
138 00:15:10.210 ⇒ 00:15:17.420 Ryan Brosas: Yeah, I… thank you very much for, with that, Hannah. I really appreciate you to all, also.
139 00:15:17.540 ⇒ 00:15:27.730 Ryan Brosas: So, yeah, I know that I’m not really, like, easy to work with, and I’m really fast, I know that. So I want to pass to just…
140 00:15:27.760 ⇒ 00:15:42.240 Ryan Brosas: Tina… Justina, is that correct? Sorry. Justina, I, you know, will have always been, like, pretty active on our sales go-to-market, channel.
141 00:15:42.380 ⇒ 00:15:51.659 Ryan Brosas: I’m really excited to work with you and, like, support you on whatever you need, or in our sales initiative, I’m really excited on that.
142 00:15:56.940 ⇒ 00:16:05.199 Justina Spinn: I haven’t really gotten a chance to work with very many people on here since this is my first week.
143 00:16:05.470 ⇒ 00:16:08.970 Justina Spinn: I’m gonna pass it back to Hannah, sorry.
144 00:16:10.900 ⇒ 00:16:23.939 Justina Spinn: But Hannah helped me a lot this week, and I really appreciate her just, like, being willing to jump on a call with me, and, like, walk me through everything, and,
145 00:16:24.130 ⇒ 00:16:28.229 Justina Spinn: yeah, just be there to answer all of my questions. So, thank you.
146 00:16:29.020 ⇒ 00:16:32.010 Hannah Wang: Yeah, no worries. And with that…
147 00:16:32.210 ⇒ 00:16:36.869 Hannah Wang: Let’s move on to the next activity. Good way to close.
148 00:16:41.780 ⇒ 00:16:44.739 Hannah Wang: So, Ryan, do you want to do your lab share, if you have one?
149 00:16:48.160 ⇒ 00:16:48.800 Samuel Roberts: Oh, you’re muted.
150 00:16:48.800 ⇒ 00:16:49.669 Hannah Wang: I think you’re muted.
151 00:16:49.670 ⇒ 00:16:51.209 Ryan Brosas: You’re muted, yeah.
152 00:16:51.210 ⇒ 00:17:11.789 Ryan Brosas: Yeah, I want to share, well, this… I know, most of you already know how AI works, but I want to share a little bit how, my process works. So, pretty much, I really love AI, so I love the progress of it, since, well.
153 00:17:11.790 ⇒ 00:17:14.050 Ryan Brosas: Since someone, like,
154 00:17:14.829 ⇒ 00:17:30.469 Ryan Brosas: presented this here, like, I think it’s N8, and then I got really hooked in on, like, the progress of AI, like, the… the… from GPT 4.0, then we got, like, Claude.
155 00:17:30.510 ⇒ 00:17:36.090 Ryan Brosas: So not, 3.7, and now it is output 4.1.
156 00:17:36.150 ⇒ 00:17:52.329 Ryan Brosas: And I’m really, like, interested on how AI works. And, it also, like, boosts me, like, I can, I can, like, help other, or, like, other departments, like sales, content, and, like, building my own automation.
157 00:17:52.330 ⇒ 00:18:07.460 Ryan Brosas: It’s really, like, a game changer for me. This, like, I think… on, on, what do you call this? In… here in Brain Forge, you can learn a lot of stuff, you just need to be, like, learn and execute.
158 00:18:07.480 ⇒ 00:18:11.320 Ryan Brosas: So, yeah, so I want to share, how…
159 00:18:11.690 ⇒ 00:18:27.240 Ryan Brosas: to build your own co-writer, because I’m on the content team. So, pretty much, it’s pretty easy. So, you can, see here, like, AI and patterns. So, AI basically is trained with
160 00:18:27.310 ⇒ 00:18:45.410 Ryan Brosas: millions and millions of datasets of, like, articles, research paper, books, and texts from across the internet. So, pretty much if you are aware of GPT 4.0, and when you asked it to write a content, it pretty sounded
161 00:18:45.410 ⇒ 00:18:59.210 Ryan Brosas: academic, because, it trained on academic texts, or, well, datasets. So, if you, prompt it in a way that it will, you know, remove those,
162 00:18:59.210 ⇒ 00:19:06.210 Ryan Brosas: dataset or, like, those languages, it can be a good, or, like, a great, great, well.
163 00:19:07.140 ⇒ 00:19:09.359 Ryan Brosas: If you remove those, like,
164 00:19:09.520 ⇒ 00:19:13.279 Ryan Brosas: If you put, like, a boundaries of… on your prompt.
165 00:19:13.470 ⇒ 00:19:26.999 Ryan Brosas: it will set, like, avoid academic, academic stuff. I can, I can share it on my, on my prompt instead, so it’s…
166 00:19:27.760 ⇒ 00:19:34.430 Ryan Brosas: So, for example… Here.
167 00:19:39.050 ⇒ 00:19:47.300 Ryan Brosas: So… Where it is. So…
168 00:19:47.840 ⇒ 00:19:51.460 Ryan Brosas: Here, I… as I said, if you put,
169 00:19:51.550 ⇒ 00:20:11.060 Ryan Brosas: like, restraining or, like, boundaries to LLM, it will avoid that, and it will much better, provide you much more context of, your writing or your pattern. So, remove and disallow, this is pretty much the AI,
170 00:20:11.480 ⇒ 00:20:19.110 Ryan Brosas: like, AI words that it’s always been on, on, providing it, like, in a world of…
171 00:20:19.290 ⇒ 00:20:24.179 Ryan Brosas: And, hey, where is that? So.
172 00:20:24.180 ⇒ 00:20:31.569 Hannah Wang: Sorry, Ryan, I don’t know if you’re sharing the right screen. Sorry to interrupt, but I think you’re sharing just your…
173 00:20:31.570 ⇒ 00:20:32.670 Ryan Brosas: Sorry.
174 00:20:32.670 ⇒ 00:20:33.180 Hannah Wang: That’s okay.
175 00:20:33.180 ⇒ 00:20:38.939 Ryan Brosas: Thank you, thank you for clarifying that. So, I thought that I’m sharing my, whole,
176 00:20:39.820 ⇒ 00:20:58.499 Ryan Brosas: Let me share that. So, as you can see, this is my own co-writer. So, here, I prompted very, very, very, like, on a detailed manner. So, you… as you can see here, that I, added a restriction
177 00:20:58.530 ⇒ 00:21:16.149 Ryan Brosas: like, this allowed words and phrases, which is more of, like, the usual AI, fluff that we are seeing on… on LinkedIn, or in, Medium, or whatever, like, articles that, you know, they’re using AI, and we… and…
178 00:21:16.460 ⇒ 00:21:24.499 Ryan Brosas: it’s using, like, these… those words that, you know, potentially that you can detect right away. So,
179 00:21:25.110 ⇒ 00:21:28.570 Ryan Brosas: I think, where that…
180 00:21:32.880 ⇒ 00:21:39.960 Ryan Brosas: Near… So… Oops.
181 00:21:51.400 ⇒ 00:21:57.840 Ryan Brosas: Yeah, so… I think Lumius is,
182 00:22:00.420 ⇒ 00:22:04.920 Ryan Brosas: Yeah, I think I, I…
183 00:22:06.060 ⇒ 00:22:09.750 Ryan Brosas: Yeah, this is the prompt, right?
184 00:22:11.300 ⇒ 00:22:14.859 Ryan Brosas: Yeah, I think it’s just…
185 00:22:23.220 ⇒ 00:22:24.866 Ryan Brosas: Right now…
186 00:22:29.110 ⇒ 00:22:30.720 Ryan Brosas: Where is the date, though?
187 00:22:32.870 ⇒ 00:22:34.410 Ryan Brosas: Okay…
188 00:22:40.460 ⇒ 00:22:58.879 Ryan Brosas: Yeah, I think I already, like, I put here somewhere, but it’s, very, like, a pretty huge prompt. So, if you, like, set it to use, like, an academic format of, writing the content, it will help you do that.
189 00:22:58.930 ⇒ 00:23:03.960 Ryan Brosas: And that is something that, making me,
190 00:23:04.110 ⇒ 00:23:06.419 Ryan Brosas: Well, what do you call this?
191 00:23:07.750 ⇒ 00:23:12.630 Ryan Brosas: For example, the content that I sent today for the default
192 00:23:12.900 ⇒ 00:23:23.810 Ryan Brosas: compa- workflow, competition, I just provided my, my, my, what do you call this transcript, and it provided me, like.
193 00:23:23.940 ⇒ 00:23:27.560 Ryan Brosas: A whole set of…
194 00:23:27.990 ⇒ 00:23:47.409 Ryan Brosas: sets of, like, content, then I can do, like, reiteration to, like, Hemingway or, like, TypeShare. But yeah, it really depends on how you set this co-writer, so you need to put some data as also.
195 00:23:49.670 ⇒ 00:24:05.399 Ryan Brosas: So data is your own writing pattern. So, writing pattern is something that you already have. So, if you are, like, noting on, Obsidian, or Notion, or something, and if you feed
196 00:24:05.930 ⇒ 00:24:13.190 Ryan Brosas: you, if you prompt, your, your, AI, and…
197 00:24:13.340 ⇒ 00:24:23.369 Ryan Brosas: providing those datasets, it will copy those writing patterns, because AI is running on patterns. So that’s…
198 00:24:23.480 ⇒ 00:24:28.120 Ryan Brosas: When you can, when you can, like, prompt it together.
199 00:24:29.250 ⇒ 00:24:42.989 Ryan Brosas: this will be, like, a game changer to whatever, like, things that you want, because for me, from, like, all of the stuff that I’m currently, learning and stuff, it makes me, like, you know,
200 00:24:43.400 ⇒ 00:24:49.260 Ryan Brosas: from wherever I am right now, because, you know, I love to learn, and
201 00:24:49.430 ⇒ 00:25:04.110 Ryan Brosas: AI makes that much more easier for me, and also, like, it becomes my, you know, co-writer, co-thinker, and every, other stuff that Otam already told, told, on the last
202 00:25:04.290 ⇒ 00:25:07.130 Ryan Brosas: Event that, he attended to.
203 00:25:07.280 ⇒ 00:25:13.989 Ryan Brosas: So, here is the, here’s the datasets that I did for his,
204 00:25:14.250 ⇒ 00:25:29.199 Ryan Brosas: for his, ghostwriting or, like, co-writer for UTAM. This is, like, the example of writing pattern of Utam, and I added a set of, like, data, like, I break down, this content
205 00:25:29.400 ⇒ 00:25:33.489 Ryan Brosas: To a audience, subject, emotional driver.
206 00:25:33.610 ⇒ 00:25:40.969 Ryan Brosas: So, that make, that makes the, all… so, it all select, what do you call this?
207 00:25:41.090 ⇒ 00:25:52.440 Ryan Brosas: much more of, like, you’re providing much more context of, like, if you have, like, a user and assistant. Assistant is pretty much,
208 00:25:52.700 ⇒ 00:25:55.540 Ryan Brosas: The… the user?
209 00:25:55.800 ⇒ 00:25:58.440 Ryan Brosas: No, no, system…
210 00:25:58.480 ⇒ 00:26:15.960 Ryan Brosas: user, so I’m not… I’m not… don’t quote me on that, because I’m still learning on, on this… on this one, but yeah, this is really, like, interesting to me, because it’s something on the content world that isn’t being… being, like.
211 00:26:18.170 ⇒ 00:26:31.710 Ryan Brosas: tackled on, pretty much, because I said that, you know, we still need to be, like, authentic and stuff, but it… this stuff, like, doing the 40 or 50% of the work.
212 00:26:31.980 ⇒ 00:26:38.059 Ryan Brosas: Well, this is going to be, like, a game changer, a game changer to, like, an individual
213 00:26:38.060 ⇒ 00:26:52.540 Ryan Brosas: It can 10 times your production, and it can, you know, help you along the way, if you are, like, doing some, if you are busy, and you can, you know, just get some content out.
214 00:26:52.580 ⇒ 00:27:01.160 Ryan Brosas: And edit that out, and then, you know, be done with your daily production for your content.
215 00:27:01.260 ⇒ 00:27:18.369 Ryan Brosas: And the possibility of that is also, you can also do some prompting, or, like, doing co-writer for other, other mediums, which is more on, mid-journey, or other, stuff that,
216 00:27:18.460 ⇒ 00:27:26.529 Ryan Brosas: that core writer can do, because this is something that I did, like, a few days ago,
217 00:27:26.750 ⇒ 00:27:34.819 Ryan Brosas: So, this is something, this is something that I want to explore more, image, core, like, co-writer that…
218 00:27:34.980 ⇒ 00:27:44.220 Ryan Brosas: Still, like, being me, and still, like, on my set of, like, brand, or whatever that you want to set this up.
219 00:27:44.370 ⇒ 00:27:48.860 Ryan Brosas: And I think that’s pretty much all for my lecture.
220 00:27:49.140 ⇒ 00:27:53.070 Ryan Brosas: Sorry, I’m pretty nervous about this.
221 00:27:57.150 ⇒ 00:27:58.100 Hannah Wang: It was great.
222 00:28:05.660 ⇒ 00:28:15.500 Ryan Brosas: And I will pass this up to Amber or Hannah that will provide our exec Updates.
223 00:28:20.180 ⇒ 00:28:29.100 Amber Lin: Okay, I can… I can run through this. This is… this is essentially how S heads, right here. We were able to… this is…
224 00:28:29.380 ⇒ 00:28:44.519 Amber Lin: the execs, okay, are, so their goals for the remaining of this quarter, so ending in September. So, for the first one, we’ve successfully hired Justina, so that’s good, and delivery rituals is being worked on.
225 00:28:44.520 ⇒ 00:28:49.439 Amber Lin: But just in the PM team, so we’ll touch on that in a bit.
226 00:28:51.000 ⇒ 00:29:02.750 Amber Lin: And our goal for this quarter is to hit 110 MRR, and currently, I think we’re at 85-ish or so.
227 00:29:02.750 ⇒ 00:29:12.089 Amber Lin: Including some hourly clients, so we are progressing towards our goal. I remember last, last few times we talked, we’re closer around 70.
228 00:29:12.140 ⇒ 00:29:20.120 Amber Lin: But that is something that the sales team is owning, and then they will push towards that.
229 00:29:21.520 ⇒ 00:29:30.580 Amber Lin: And, right now, for the efficiency of reporting, every Monday, we do look at
230 00:29:31.020 ⇒ 00:29:45.589 Amber Lin: each team’s hours and their costs. So, we want to look at, okay, what is our margins on each team, and how much can we allocate to each team? And so, what…
231 00:29:45.590 ⇒ 00:29:51.669 Amber Lin: Very important there is that I hope everybody gets to log their hours by end of day today.
232 00:29:51.670 ⇒ 00:30:08.909 Amber Lin: I’ll be checking in a little bit. If everybody has submitted their hours, I’ll send out a message to those who haven’t, because we do need it on Monday to do the reporting, and then adjust the hours or the allocations for the upcoming week.
233 00:30:10.260 ⇒ 00:30:20.819 Amber Lin: And lastly, on the bonus and raise program, this is something Utam and Robert has been, thinking about internally. There’s some documents being circulated about
234 00:30:20.820 ⇒ 00:30:31.460 Amber Lin: Bonuses and raise. These… bonus and raise are two different things. So, bonuses are, quarterly or yearly based, based on performance,
235 00:30:31.560 ⇒ 00:30:43.159 Amber Lin: And a raise is either a consistent yearly raise or a bump up in salary if your scope has changed. And…
236 00:30:43.320 ⇒ 00:30:49.579 Amber Lin: I think… Everybody here has been working really hard for the company, and then…
237 00:30:49.590 ⇒ 00:31:05.220 Amber Lin: I know this is something Uta and Robert want to do to make sure that people who work hard and have been contributing to the company gets rewarded. So that’s something that we would like to roll out in Q4, so next… starting next month.
238 00:31:05.300 ⇒ 00:31:08.769 Amber Lin: And so we’re doing some internal planning on that.
239 00:31:09.100 ⇒ 00:31:15.800 Amber Lin: And lastly, on the Q4 OKRs, we finally started having OKRs this month.
240 00:31:15.850 ⇒ 00:31:33.339 Amber Lin: And it has been really helpful to keep track of our goals and just have, say, not 10 things to focus on, but 3 or 5. And we will start planning the Q4 OKRs, and we’ll be more strict about that, and everybody will have their goals to contribute.
241 00:31:33.340 ⇒ 00:31:45.329 Amber Lin: I personally think this will make everything easy… make things more clear of what you want to achieve, but there will be more on that, say, next time we meet.
242 00:31:48.670 ⇒ 00:31:49.370 Amber Lin: Yep.
243 00:31:50.250 ⇒ 00:31:52.990 Amber Lin: Sounds good. We can move forward.
244 00:31:56.690 ⇒ 00:32:00.339 Amber Lin: Oh, am I going to update this?
245 00:32:02.270 ⇒ 00:32:08.049 Amber Lin: Let’s see… Okay, they’re not here, I can’t update this.
246 00:32:09.080 ⇒ 00:32:11.770 Amber Lin: We have a few lists that’s very close.
247 00:32:12.070 ⇒ 00:32:29.320 Amber Lin: And then renewals that we’ve already been talking with is default and ABC. I think UTAM has meetings with their leads, and we’re very, very close. And hopefully we can close all the top 4, and that will get us a lot closer, to our…
248 00:32:29.600 ⇒ 00:32:44.940 Amber Lin: MRR goals, and one direct impact is, one, if we have more money, we can hire more people and give people bonuses and raises. And also, the sales and marketing team’s budget is tied to,
249 00:32:45.290 ⇒ 00:32:52.279 Amber Lin: our overall revenue. So, if we have more leads, then you guys have more to…
250 00:32:52.740 ⇒ 00:33:03.279 Amber Lin: more to do and more to play with. So, that’s a goal that is directly tied to sales and marketing’s results and what resources they have available, so…
251 00:33:04.890 ⇒ 00:33:06.410 Amber Lin: Hope is on you guys.
252 00:33:06.620 ⇒ 00:33:16.360 Justin Breshears: One I would add there that I know we have a proposal out for is iCustomer. I don’t know how close they are, because they haven’t responded yet, but we worked on a proposal for them, and we’re looking at a pretty good…
253 00:33:16.520 ⇒ 00:33:22.380 Amber Lin: Yeah. …unk there on that one, so… Even more optimism than what’s on the screen.
254 00:33:22.670 ⇒ 00:33:23.390 Amber Lin: Yeah.
255 00:33:24.300 ⇒ 00:33:25.450 Amber Lin: Awesome.
256 00:33:26.370 ⇒ 00:33:31.539 Amber Lin: Next one… Okay, Justin, I’ll let you do this, please.
257 00:33:31.540 ⇒ 00:33:48.740 Justin Breshears: Yeah, I’ll take over this one. So as Amber mentioned earlier, I’ve come in and, kind of been the Tasmanian devil, if you’ve seen Space Jam, cleaning up the gym. Yeah, okay, so that’s what I’ve been trying to do. I am part-time right now, so I haven’t had a ton of time, but,
258 00:33:48.740 ⇒ 00:33:56.599 Justin Breshears: I’ve been just trying to build processes that help, like, kind of codify the things that we’re already doing, because in my experience with startups.
259 00:33:56.600 ⇒ 00:34:10.970 Justin Breshears: Everybody that’s at a startup initially is just like an MVP. They’re a hero. They’re like, I’m just gonna take it on, I’m gonna do it, and work gets done by the grit of everybody involved, right? Which is great. At a certain point.
260 00:34:11.040 ⇒ 00:34:25.049 Justin Breshears: That is no longer scalable. So, the idea is, as we’re building our MRR, and we’re growing the company, we want scalable systems and processes, right? And a lot of where I’ve been focusing is on the delivery side.
261 00:34:25.250 ⇒ 00:34:29.779 Justin Breshears: Of, you know, how do we… once we get a contract inked.
262 00:34:29.780 ⇒ 00:34:52.879 Justin Breshears: how do we then go about moving that project through the lifecycle all the way to a successful delivery, right? So I’ve kind of been starting there, at the beginning. The first thing I had to do was create a template for all of these forms and SOPs that I wanted to create, right? So I started with an SOP template. SOP, if you’re not familiar, standard operating procedure. Just basically a blueprint of how we’re going to do it, right?
263 00:34:52.880 ⇒ 00:35:02.770 Justin Breshears: So, started there, SOP template from there, so we have, you know, a consistent look and feel to all the guides that we have. My goal, eventually, is to have a guide literally for everything, like…
264 00:35:02.770 ⇒ 00:35:15.130 Justin Breshears: you should be able to come in brand new to Brainforge and be able to know exactly the step-by-step of how a project moves from… all the way from sales through, you know, renewals, expansions, you know, all of that.
265 00:35:15.270 ⇒ 00:35:40.240 Justin Breshears: So we built out the SOP there for… the template for the SOPs. We built out, also, just ticket standards for linear tickets, how we write them. We’ve seen, you know, some confusion and pushback on, hey, I got this ticket assigned to me, I have no idea what I’m actually supposed to do with it. So, you know, we wrote, like, here’s the minimum requirements for, you know, linear tickets, so that it has all the information that we need. Then I started at the sales to delivery handoff.
266 00:35:40.240 ⇒ 00:35:54.149 Justin Breshears: because I don’t have a ton of, insight into, like, the pre-sales process yet. Justina, that’s one thing that, I’d like your help on eventually, is kind of looking at how can we, you know, write these SOPs for pre-sales.
267 00:35:54.150 ⇒ 00:35:57.969 Justin Breshears: I know you’re new as well, so we’ll get there. But…
268 00:35:58.560 ⇒ 00:36:07.479 Justin Breshears: Right now, I started at sales to delivery handoff, let’s codify our process for, you know, bringing it… once the contract is signed, okay, here’s…
269 00:36:07.510 ⇒ 00:36:29.050 Justin Breshears: here’s how we get the information over to the team that’s going to be doing the delivery, right? And setting up the project plan and all that. So there’s a form now for sales delivery handoff, that’s what the S2D is, that’s just shorthand for sales delivery. There’s a form there for, filling out all the information from sales that they have that can make it easy for delivery to know what they’re doing.
270 00:36:29.090 ⇒ 00:36:31.329 Justin Breshears: And then…
271 00:36:31.440 ⇒ 00:36:45.019 Justin Breshears: the next kind of focus that I’m going to be doing is on, like, setting up the project management plan. I know we have a lot of good stuff already on, like, guides how to do that, but again, I want a consistent, comprehensive look and feel to
272 00:36:45.060 ⇒ 00:37:02.469 Justin Breshears: project management plans that takes the information that we now just gathered from sales and puts it into actionable, you know, project plan for the team. That’s kind of the roadmap for the next thing. That, and just kind of a resourcing process. So, as Amber mentioned, like, we’re really looking at
273 00:37:02.470 ⇒ 00:37:13.099 Justin Breshears: Number of hours people are spending, number of hours they have, and their bandwidth, you know, per week of what they can spend, because there’s a mix of part-time, full-time, all sorts of stuff.
274 00:37:13.100 ⇒ 00:37:31.470 Justin Breshears: So we need to really codify our process for how we assign out, you know, work and the resourcing process for projects. We’re… we got a lot on the horizon right now, and so it’s going to be very important for us to be very efficient in how we use everybody’s time, right? So that and the project management plan is kind of what I’m looking at next.
275 00:37:31.470 ⇒ 00:37:37.839 Justin Breshears: The last one on there that I did was kind of a Sprint Management 101 SOP that’s more for just, like, RPMs.
276 00:37:37.840 ⇒ 00:37:39.389 Justin Breshears: Of, like, here’s…
277 00:37:39.630 ⇒ 00:37:58.050 Justin Breshears: here’s how I manage a sprint within itself, and make sure that, you know, velocity’s on track, and calling out risks, and things like that. This is a little bit of what I’ve been working on in conjunction with Amber and Rico and Utam and, you know, Alex’s advising and all that. So,
278 00:37:58.120 ⇒ 00:38:09.049 Justin Breshears: let’s see… oh, some changes that we made to, PMing. I’ve been… I’m gonna take over PMing, Interlude, Insomnia, and Default.
279 00:38:09.460 ⇒ 00:38:28.020 Justin Breshears: maybe some more on the horizon, but that’s just kind of the three that we’ve, targeted for now. So getting more involved, client-facing, and then helping out also with, like, some proposals, like the iCustomer one and stuff like that. Rico’s gonna transition to PMing more of the internal teams, just…
280 00:38:28.190 ⇒ 00:38:44.389 Justin Breshears: hugely important that, you know, all the stuff that we’re building out, you know, internally for the benefit of Brainforge, so he’s gonna focus more on that while I go more client-facing on that, and then hopefully, you know, free up Amber as well, because I know she has a lot on her plate, too, so trying to take some off of her.
281 00:38:44.630 ⇒ 00:38:49.870 Justin Breshears: per workload right now. And then, the last one…
282 00:38:50.090 ⇒ 00:39:09.970 Justin Breshears: this is an idea that, you know, I had coming in, that we need to start doing at least monthly reviews with clients, just to take a step back and high level, hey, how’s it going? Are you satisfied? Are we hitting the mark of what, you know, you expect out of our project that we’re doing, right? Because at…
283 00:39:10.460 ⇒ 00:39:29.750 Justin Breshears: at the time of renewal is too late, right? Because then it’s just like, oh, well, you’re just coming to me to see, you know, what’s going on because you want more money out of me, kind of a thing, right? But we want to be checking in and having these relationships, you know, built throughout, and also just have time to correct any issues that they see. If there’s a misconception or a false perception.
284 00:39:29.750 ⇒ 00:39:37.490 Justin Breshears: From the client on our mismatch of expectations, and we catch it in month one of a three-month project, we have 2 more months to…
285 00:39:37.740 ⇒ 00:39:55.009 Justin Breshears: fix it, and… before we get to renewal. If we catch it at month three, at the end of the time, when it’s ready for renewal, we have no time to salvage that relationship. So, that’s what the last one is. I think all of those are booked, and we should get, you know, the rest of our clients booked as well on those. Did I cover everything, Amber?
286 00:39:55.360 ⇒ 00:39:56.680 Justin Breshears: Think I caught it all?
287 00:39:57.120 ⇒ 00:40:01.620 Amber Lin: Yep, that sounds good. And then, the transition will start next week.
288 00:40:01.920 ⇒ 00:40:17.570 Justin Breshears: Yep, yep, yep, yep. And yeah, to Amber’s point, it’s really, really important, guys, get your hours in, because we’re gonna start really tracking margin on our projects. We ideally want to get to, a $150 an hour bill rate, for our projects, so,
289 00:40:17.640 ⇒ 00:40:31.850 Justin Breshears: that’s going to influence how many hours we can put, especially on these fixed monthly price projects. So we have a 10K monthly project, you know, divide that by 150 an hour, that’s how many hours we have to spend. I think that’s, like, 66 and 2 thirds…
290 00:40:31.850 ⇒ 00:40:41.549 Justin Breshears: hours, or something like that. That’s how many hours we have to spend on that project, so we’re going to be looking at how can we do… deliver things at a high standard, but also very efficiently.
291 00:40:41.550 ⇒ 00:40:53.219 Justin Breshears: With that, so that we can hit those margins. So, very important that you get your hours in, that you worked on these projects, because we cannot calculate all those calculations without it. So, appreciate all of your efforts on that.
292 00:40:53.560 ⇒ 00:40:55.570 Justin Breshears: I think Sam had his hand up.
293 00:40:55.570 ⇒ 00:40:57.720 Samuel Roberts: Yeah, I didn’t want to interrupt, but.
294 00:40:57.720 ⇒ 00:41:02.229 Justin Breshears: The linear ticket standards, where is that living right now? I’d love to take a look.
295 00:41:02.230 ⇒ 00:41:23.879 Justin Breshears: Yeah, great point, I forgot to mention. I want to circulate all these things now that they’re created for everybody’s feedback, so I will post them. Perfect, thank you. They’re all gonna live in Notion, and there’s a project management section in Notion. I don’t know if the linear ticket standards needs to live in project management, or more on the technical side in Notion. I will find the best home for that, but I will circulate it all after this call.
296 00:41:24.230 ⇒ 00:41:35.210 Justin Breshears: Great. I’ve been gathering feedback from the PMO and Tom and everybody, for now, but I would like feedback from everybody, or questions or concerns, or comments. So, yeah, good point.
297 00:41:37.730 ⇒ 00:41:39.509 Justin Breshears: Cool. I’m done.
298 00:41:44.210 ⇒ 00:41:50.840 Hannah Wang: Alright, marketing… I mean, obviously, it’s not just me, it’s Ryan, Ray, and…
299 00:41:50.970 ⇒ 00:42:06.099 Hannah Wang: And everyone helps here and there, so I can’t take all the credit, but for marketing, I guess the biggest, major updates we have, so last demo, we talked about kind of pivoting our LinkedIn strategy in terms of
300 00:42:06.250 ⇒ 00:42:14.730 Hannah Wang: the types of content, the types of assets that go with the content. So, our hypothesis was correct,
301 00:42:16.770 ⇒ 00:42:30.300 Hannah Wang: more authentic, non-branded, non-curated content performs better, specifically with the images. So you can see on the screenshot I posted, we posted, like, a
302 00:42:31.890 ⇒ 00:42:41.700 Hannah Wang: yeah, like a post with just a photo of your time smiling. Nothing branded, nothing super brain-forged, and that did super well. That’s…
303 00:42:41.860 ⇒ 00:42:45.059 Hannah Wang: I feel like probably one of our highest performing
304 00:42:45.260 ⇒ 00:42:57.089 Hannah Wang: posts so far. And then the one below that is another photo of Utam just chilling with, I think, his phone, or coffee. I can’t really tell, but, that also did super well. So, I think…
305 00:42:57.560 ⇒ 00:43:06.769 Hannah Wang: Yeah, we’ll take this moving forward, that’ll be less… Super brand, and more just…
306 00:43:07.110 ⇒ 00:43:21.410 Hannah Wang: this is who I am, like, I am Utam, I am Robert, like, kind of being more organic about it, and I think that does well, because, LinkedIn is our highest performing platform. We tried Instagram, TikTok.
307 00:43:21.410 ⇒ 00:43:29.960 Hannah Wang: I think we also tried it, but yeah, I don’t think it performs as well as LinkedIn, because Utama and Robert already have a good following.
308 00:43:31.280 ⇒ 00:43:37.890 Hannah Wang: And I think we should utilize this channel more, so that’s what we’re doing. And Ryan is, spearheading that.
309 00:43:37.920 ⇒ 00:43:59.880 Hannah Wang: The next thing that we’re doing is we’re building out SME playbooks. SME stands for Subject Matter Experts. So, Jake, who’s helping us out… I don’t know if he’s on this meeting, but, he’s helping us out by interviewing a bunch of subject matter experts, and we’re, putting together playbooks, and ultimately the goal is to co-sell with whoever
310 00:43:59.880 ⇒ 00:44:03.839 Hannah Wang: We partnered with to build this playbook.
311 00:44:03.950 ⇒ 00:44:14.989 Hannah Wang: The next thing is ShopTalk, so that’s why Utam and Robert aren’t here. I think they’re coming back from ShopTalk, or currently still at ShopTalk. But this is basically a…
312 00:44:15.400 ⇒ 00:44:18.660 Hannah Wang: Consumer Packaged Goods Conference,
313 00:44:19.560 ⇒ 00:44:29.340 Hannah Wang: basically companies that sell products. So a bunch of founders and heads of whatever and VPs came to this.
314 00:44:29.340 ⇒ 00:44:43.260 Hannah Wang: Shop Talk Conference in Chicago, and we actually partnered with another company called Glimpse to host an activation, which basically is more of, like, a strategic event that we host to target people within our IDP.
315 00:44:43.930 ⇒ 00:44:47.130 Hannah Wang: the people that go to Shop Talk, we invite them to
316 00:44:47.450 ⇒ 00:45:01.499 Hannah Wang: this activation. So I think Utam got a nice facial. I don’t know if Robert did anything, but, hopefully we can hear updates, from that, maybe next week, because Shop Talk is still wrapping up.
317 00:45:01.500 ⇒ 00:45:09.309 Hannah Wang: And then the last thing is we constantly crank out content, so we do have a YouTube channel, and Usham gave a talk
318 00:45:09.580 ⇒ 00:45:25.850 Hannah Wang: Through an organization called Blue People, called Tech and Tequila, a Tech and Tequila Talk. So, I think the turnout was pretty good for that, so we just kind of reproduced the media that we recorded, and Ray did a good job of
319 00:45:25.850 ⇒ 00:45:41.210 Hannah Wang: stitching everything together, and, thank you, Anne, for helping out with the assets here and there. So, that’s live on YouTube, and, hopefully we’ll repurpose that and post that on LinkedIn. That’s kind of the strategy that we have with any
320 00:45:41.310 ⇒ 00:45:51.220 Hannah Wang: speaking engagement that either Utam and Robert do, so just taking snippets of that and, using it for LinkedIn, so…
321 00:45:51.540 ⇒ 00:45:57.370 Hannah Wang: Yeah, I think that was everything for the past two weeks. Oh, there’s other things, but…
322 00:45:57.600 ⇒ 00:46:02.159 Hannah Wang: I could just keep talking if I want to hit everything, so that’s kind of the major things.
323 00:46:03.110 ⇒ 00:46:05.980 Hannah Wang: Yeah, I think we can move on to the next slide.
324 00:46:09.940 ⇒ 00:46:11.540 Hannah Wang: Oh, shoutouts.
325 00:46:11.540 ⇒ 00:46:12.610 Ryan Brosas: Yeah.
326 00:46:12.610 ⇒ 00:46:15.050 Amber Lin: I think we already did shoutouts.
327 00:46:15.050 ⇒ 00:46:16.760 Hannah Wang: Yeah, we did.
328 00:46:19.320 ⇒ 00:46:20.569 Hannah Wang: I don’t know.
329 00:46:20.570 ⇒ 00:46:23.639 Amber Lin: I mean, we can’t end it early!
330 00:46:24.240 ⇒ 00:46:29.819 Hannah Wang: Yeah, 15 minutes early, that’s unusual for this meeting.
331 00:46:31.210 ⇒ 00:46:44.749 Hannah Wang: Okay, well, if anyone… if no one has any questions, yeah, we can just get 15 minutes back. Thanks, everyone, for hopping onto this meeting, and thank you, Ryan, for hosting. He did a good job.
332 00:46:44.790 ⇒ 00:46:54.809 Hannah Wang: And hopefully everyone gets to kind of meet everyone. I know Rico’s trying to set up, like, a coffee chat system thing, so it’d be nice that…
333 00:46:54.920 ⇒ 00:47:08.939 Hannah Wang: to meet everyone and not just be siloed into our own, kind of, departments, because of your wonderful people. So, hopefully we can all talk soon, and have a good weekend. Thanks, guys.
334 00:47:09.690 ⇒ 00:47:10.060 Ryan Brosas: Thank you.
335 00:47:10.580 ⇒ 00:47:12.750 Anne: Thank you. Have a weekend.