Meeting Title: Brainforge AI Team Project Planning Date: 2025-09-17 Meeting participants: Samuel Roberts, Rico Rejoso, Amber Lin
WEBVTT
1 00:01:08.210 ⇒ 00:01:09.820 Amber Lin: Hello!
2 00:01:11.610 ⇒ 00:01:12.670 Rico Rejoso: Hey, Amber.
3 00:01:15.140 ⇒ 00:01:34.980 Amber Lin: Just wanted… for this meeting, I want to get to know what the AI team is working on now, what we plan to work on in the short, say, few… the upcoming few months, and then we can decide here how Ricoh can help out, project manage the AI team.
4 00:01:35.160 ⇒ 00:01:36.939 Samuel Roberts: You’re talking, like, internal projects?
5 00:01:37.420 ⇒ 00:01:46.820 Amber Lin: Yeah, yeah, I think it’ll make your… Sam, it’ll make your life a bit easier, because you don’t have to keep track of everything, you just have to give the strategic direction.
6 00:01:46.820 ⇒ 00:01:55.550 Samuel Roberts: Sure, yeah, so, now that we’ve got the monorepo, just live, platform.
7 00:01:55.810 ⇒ 00:02:01.120 Samuel Roberts: Brainforge, you can start, like, implementing features into that.
8 00:02:01.570 ⇒ 00:02:13.519 Samuel Roberts: I guess, you know, the specific features, there’s probably… and I know there’s a backlog of things, but I imagine more will come up. The other side of it, and this is maybe a bigger,
9 00:02:15.900 ⇒ 00:02:22.410 Samuel Roberts: A bigger overhaul is the way the client hubs are set up right now.
10 00:02:24.510 ⇒ 00:02:29.660 Samuel Roberts: So… Excuse me. Right now, whenever a new client,
11 00:02:30.050 ⇒ 00:02:36.769 Samuel Roberts: is… is onboarded. There’s a lot of manual work to get the client hub set up.
12 00:02:37.130 ⇒ 00:02:37.539 Amber Lin: Huh.
13 00:02:39.300 ⇒ 00:02:49.689 Samuel Roberts: I have a little bit of a sense of all the work that goes into it. Casey seems to know the best. Mustafa’s doing some as well, and Casey made a boom yesterday to show how some of the stuff works.
14 00:02:49.850 ⇒ 00:02:57.190 Samuel Roberts: There’s also a… Like, a new client SOP, That,
15 00:02:58.560 ⇒ 00:03:14.220 Samuel Roberts: had… was… I think it’s pretty up-to-date. It was kind of just before I got here, but, I need… I wanted to take the time from, like, a tech standpoint to understand exactly what’s going into it, because what’s going on right now is stuff that ideally could be…
16 00:03:14.400 ⇒ 00:03:19.659 Samuel Roberts: Much more automated, so, like, way less has to happen for new clients to get
17 00:03:19.900 ⇒ 00:03:23.290 Samuel Roberts: a spot on the platform to get added to the Slack, all this other stuff.
18 00:03:24.650 ⇒ 00:03:29.650 Samuel Roberts: And there’s a lot on the back end, like all those Zoom transcript stuff that is…
19 00:03:30.200 ⇒ 00:03:34.530 Samuel Roberts: consistent across clients, but it has to be replicated in NA to N.
20 00:03:34.710 ⇒ 00:03:35.640 Amber Lin: on the platforms.
21 00:03:36.110 ⇒ 00:03:46.040 Samuel Roberts: And so, that’s a big one that I think is worth the time, to, like, re-architect, essentially?
22 00:03:46.420 ⇒ 00:03:46.900 Amber Lin: Okay.
23 00:03:48.740 ⇒ 00:03:55.199 Samuel Roberts: you know, because right now, like, we had two client hubs that needed to get added, and that’s, like, a decent amount of work for Casey and Staffa to do.
24 00:03:56.500 ⇒ 00:04:02.739 Samuel Roberts: It’s not… nothing, like, insanely difficult, because a lot of the pieces are there, but it’s a lot of manual repetition work.
25 00:04:04.090 ⇒ 00:04:07.090 Samuel Roberts: We need to… fix.
26 00:04:08.370 ⇒ 00:04:14.639 Samuel Roberts: So yeah, now the platform is in the monorepo, there’s a lot more that can get kind of fixed quickly, I think. New features.
27 00:04:14.640 ⇒ 00:04:16.390 Amber Lin: What’s the monorepo?
28 00:04:16.399 ⇒ 00:04:19.549 Samuel Roberts: I’m so sorry, this… the new platform, I don’t know if you saw the post.
29 00:04:19.659 ⇒ 00:04:23.339 Samuel Roberts: The platform has been migrated over to a new codebase.
30 00:04:23.890 ⇒ 00:04:24.520 Amber Lin: Hmm.
31 00:04:24.760 ⇒ 00:04:31.889 Samuel Roberts: Sorry, yeah, I’m using the terms we were using in the AI team, but yeah, the platform got migrated, so now it’s a lot easier to deploy new changes.
32 00:04:32.510 ⇒ 00:04:37.219 Samuel Roberts: Beforehand, it was, like, a different front-end and back-end codebase, so it meant keeping them in sync.
33 00:04:37.670 ⇒ 00:04:40.600 Samuel Roberts: Now it’s all one place, so…
34 00:04:40.780 ⇒ 00:04:44.939 Samuel Roberts: You know, we can make changes on the, like, much quicker.
35 00:04:46.290 ⇒ 00:04:49.589 Samuel Roberts: it’s all in one place for PR reviews, for PRs.
36 00:04:51.170 ⇒ 00:04:56.280 Amber Lin: Awesome. What are the other items that we are doing, or plan to do?
37 00:04:56.630 ⇒ 00:05:02.530 Samuel Roberts: Yeah, let me, those are kind of the…
38 00:05:02.640 ⇒ 00:05:08.990 Samuel Roberts: two big things that I think, a lot more of the client humps that could happen, but it’s hard to add stuff to it.
39 00:05:11.820 ⇒ 00:05:21.289 Samuel Roberts: Yeah, I mean, there’s things within the platform, like, adding departments, so that meetings are organized by department, not just clients, but that’s kind of in the…
40 00:05:21.980 ⇒ 00:05:30.780 Samuel Roberts: the platform, there’s, to be honest, probably, as I’m going through this backlog, it goes way back.
41 00:05:36.660 ⇒ 00:05:42.270 Samuel Roberts: Sorry, I just scrolling through some of these things that I have not familiarized myself a ton with, because they’re just old, so it’s,
42 00:05:44.930 ⇒ 00:05:49.909 Samuel Roberts: Yeah, there’s some other stuff as well, that I want… that is involved in this.
43 00:05:50.520 ⇒ 00:05:57.980 Samuel Roberts: Some stuff with the platform is, like, monitoring usage…
44 00:05:59.110 ⇒ 00:06:04.980 Samuel Roberts: So, like, we can have a sense, like, are people on the team actually using it? Like, how do we make it more useful?
45 00:06:05.420 ⇒ 00:06:09.480 Samuel Roberts: There are some other things,
46 00:06:19.410 ⇒ 00:06:25.120 Samuel Roberts: I don’t know where my list is here, hold on one sec, I’m just bouncing around different monitors right now, and different desktops.
47 00:06:25.410 ⇒ 00:06:26.829 Samuel Roberts: One moment.
48 00:06:28.180 ⇒ 00:06:37.680 Samuel Roberts: Yeah, so, you know, we want to kind of work towards some of the OKRs.
49 00:06:37.900 ⇒ 00:06:38.409 Amber Lin: What’s everybody?
50 00:06:38.940 ⇒ 00:06:46.829 Samuel Roberts: So one of those things is starting to automate more of the ticket creation, and potentially rooming as well.
51 00:06:48.540 ⇒ 00:06:54.810 Samuel Roberts: So… you know, that’s kind of something I would work with you guys on.
52 00:06:56.530 ⇒ 00:07:02.430 Samuel Roberts: So, yeah, if you want to jump down to AI, automation and AI, what I’m looking at here.
53 00:07:03.810 ⇒ 00:07:05.230 Samuel Roberts: Yeah, perfect.
54 00:07:09.080 ⇒ 00:07:23.840 Samuel Roberts: So yeah, so the few things that actually probably need a little more, PM work is some of that documenting of workflows, and the PM sales marketing workflows, and engineering workflows. Those are definitely…
55 00:07:24.630 ⇒ 00:07:25.490 Samuel Roberts: you know.
56 00:07:26.570 ⇒ 00:07:31.070 Samuel Roberts: The client work always kind of comes first, and so a lot of these things kind of, you know, for the internal stuff.
57 00:07:32.110 ⇒ 00:07:33.810 Samuel Roberts: are playing second field.
58 00:07:35.510 ⇒ 00:07:40.269 Samuel Roberts: So, yeah, the AI leverage index baseline is the first thing there.
59 00:07:40.750 ⇒ 00:07:42.950 Samuel Roberts: Yeah.
60 00:07:43.900 ⇒ 00:07:50.760 Samuel Roberts: Excuse me, so I think we need to make, like, a plan for those… documenting the workflows.
61 00:07:52.850 ⇒ 00:07:56.630 Samuel Roberts: that’s definitely where I think a lot of the…
62 00:07:56.890 ⇒ 00:08:02.160 Samuel Roberts: benefits of, like, adding things to the platform, or other workflows in Slack, or things that.
63 00:08:02.160 ⇒ 00:08:03.050 Amber Lin: We can…
64 00:08:03.050 ⇒ 00:08:12.670 Samuel Roberts: start to map out. You know, this is just documenting, this isn’t actually implementing at this point, but as we start to see what’s out there, we’ll have a pretty good sense of what needs to get done.
65 00:08:12.960 ⇒ 00:08:19.189 Samuel Roberts: trying to get people on the platform once a day. That one, we have to add some measuring, because I don’t think we have much
66 00:08:19.460 ⇒ 00:08:25.219 Samuel Roberts: Tracking that right now, but, that is obviously, like, we need to track it, but we also need to then make it
67 00:08:25.680 ⇒ 00:08:34.120 Samuel Roberts: useful, so there’s reason to be in there. And then the AI Leverage Index Baseline is what we’re… we need to look at, like, what…
68 00:08:34.549 ⇒ 00:08:36.510 Samuel Roberts: making use of the AI,
69 00:08:36.990 ⇒ 00:08:43.040 Samuel Roberts: you know, in the platform for, which is… there’s a lot of, like, observability and traceability stuff that I have to sort out.
70 00:08:43.400 ⇒ 00:08:43.919 Amber Lin: We have to decide.
71 00:08:43.929 ⇒ 00:08:49.239 Samuel Roberts: I’ve been digging into it a little bit. There’s a number of different tools over there, but,
72 00:08:49.549 ⇒ 00:08:54.729 Samuel Roberts: Baking that into the platform, and this will also then spin into other client work as well.
73 00:08:55.610 ⇒ 00:09:11.359 Amber Lin: a little better understanding of… I see, so I think it sounds like the main task after the client hubs is, PM-related automations, mostly ticket-related automations, and, documentation.
74 00:09:11.570 ⇒ 00:09:14.570 Amber Lin: I guess… and then, I guess, tracking.
75 00:09:15.940 ⇒ 00:09:16.840 Samuel Roberts: Yeah, yeah
76 00:09:20.900 ⇒ 00:09:23.189 Samuel Roberts: Sure, yeah, there you go.
77 00:09:26.390 ⇒ 00:09:26.930 Samuel Roberts: Yeah.
78 00:09:32.740 ⇒ 00:09:39.099 Amber Lin: I’m curious, how come the documentation fell under the AI team’s OKRs?
79 00:09:39.760 ⇒ 00:09:46.750 Samuel Roberts: I think the idea is that we would… start to… Work with the other teams?
80 00:09:46.750 ⇒ 00:09:47.270 Amber Lin: Just…
81 00:09:47.270 ⇒ 00:09:53.950 Samuel Roberts: Like, map out what their… Doing in ways that we can then potentially automate.
82 00:09:54.430 ⇒ 00:10:05.019 Amber Lin: Okay, do we have a timeline on any of these, of when these should get done, or are we all aiming for end of quarter, which is actually pretty soon?
83 00:10:05.020 ⇒ 00:10:08.140 Samuel Roberts: It is pretty soon, but yes, this was sort of the… this is the…
84 00:10:08.290 ⇒ 00:10:10.969 Samuel Roberts: KPIs, or the, OKRs for the…
85 00:10:10.970 ⇒ 00:10:11.510 Amber Lin: Okay.
86 00:10:11.510 ⇒ 00:10:12.500 Samuel Roberts: our importer.
87 00:10:12.640 ⇒ 00:10:15.370 Samuel Roberts: So, yeah, that’s something that I…
88 00:10:15.500 ⇒ 00:10:21.069 Samuel Roberts: I didn’t mean to jump into a little bit, so I would definitely appreciate some help on even just, like, mapping out
89 00:10:21.490 ⇒ 00:10:29.970 Samuel Roberts: I mean, we have… we have them kind of listed at PM Sales Marketing, but, like, you know, who to talk to, get a better understanding, I’d start a master document, probably, of that.
90 00:10:30.390 ⇒ 00:10:31.080 Amber Lin: Hmm.
91 00:10:31.810 ⇒ 00:10:35.920 Samuel Roberts: I was actually told that you chatted with some people at one point about some of this stuff.
92 00:10:36.200 ⇒ 00:10:38.190 Amber Lin: For workflows or AI?
93 00:10:38.190 ⇒ 00:10:40.020 Samuel Roberts: Yeah, for workflows, I think.
94 00:10:40.040 ⇒ 00:10:51.950 Amber Lin: well, we’re focused on the engineering side, Cher is doing product analytics, and then you’re doing AI automation. Demelati should…
95 00:10:52.460 ⇒ 00:11:02.500 Amber Lin: do AE and D should be a way. I know it got pushed back because of, client work. We have very similar ones ahead.
96 00:11:02.500 ⇒ 00:11:03.139 Samuel Roberts: Yeah, let’s.
97 00:11:03.140 ⇒ 00:11:05.769 Amber Lin: I have my playbooks, but…
98 00:11:05.770 ⇒ 00:11:06.329 Samuel Roberts: Oh, playbook.
99 00:11:06.720 ⇒ 00:11:07.270 Samuel Roberts: workflows.
100 00:11:07.270 ⇒ 00:11:10.839 Amber Lin: It might be different, because you want workflows.
101 00:11:11.200 ⇒ 00:11:15.060 Samuel Roberts: Yeah, so the idea here is, like, what are repetitive tasks?
102 00:11:15.310 ⇒ 00:11:18.569 Samuel Roberts: What our, you know, playbooks are…
103 00:11:19.150 ⇒ 00:11:21.740 Samuel Roberts: Workflows are kind of probably part of certain playbooks.
104 00:11:22.690 ⇒ 00:11:27.160 Samuel Roberts: Probably a good way to think about it, but, you know, if it’s a… if it’s a repetitive task, you know.
105 00:11:27.620 ⇒ 00:11:32.779 Samuel Roberts: What is some… like, just understanding those general flows, what’s different every time, what’s the same every time.
106 00:11:32.780 ⇒ 00:11:33.350 Amber Lin: Whoa.
107 00:11:33.350 ⇒ 00:11:41.230 Samuel Roberts: Where are people currently using AI? Where are they not? Where could they use it? Where is still human important? Kind of that stuff.
108 00:11:41.470 ⇒ 00:11:48.970 Amber Lin: Okay, I think to start off where we need to list out all the tasks, because we don’t even know what we do.
109 00:11:48.970 ⇒ 00:11:53.490 Samuel Roberts: Exactly, exactly. So, yes, this is a pretty big, big… .
110 00:11:54.360 ⇒ 00:12:04.059 Amber Lin: umbrella of a lot of things. Yeah, probably… I feel like the most likely outcome is that by the end of this month, which is end of quarter that we list out everything.
111 00:12:04.060 ⇒ 00:12:15.700 Amber Lin: and max get, like, one or two workflows done, but I think it’s reasonable if we want to list out all the workflows we have so far, and do a review for each of them.
112 00:12:15.790 ⇒ 00:12:16.320 Amber Lin: Okay.
113 00:12:16.320 ⇒ 00:12:21.160 Samuel Roberts: Yeah, I think that’s… that’s smart. I mean, document is… is… you know.
114 00:12:21.800 ⇒ 00:12:29.079 Samuel Roberts: The goal is to get everything documented over time, and obviously, like, making that the end-of-quarter goal is a big swing, but, you know.
115 00:12:29.490 ⇒ 00:12:31.760 Samuel Roberts: progress anyway, so… Okay.
116 00:12:31.760 ⇒ 00:12:43.090 Amber Lin: That’s good. So we can ticker that out, and then get to meet with the different departments, and you guys don’t really have… we can split up the tasks. I think we’ll… we can…
117 00:12:43.580 ⇒ 00:12:51.870 Amber Lin: maybe use AI to start off listing, and then have them review or add different tasks, just anything to make it faster.
118 00:13:01.920 ⇒ 00:13:12.150 Amber Lin: Alright, then… On the AI ticket creation side, what are the tasks that we need to do?
119 00:13:13.920 ⇒ 00:13:16.080 Samuel Roberts: This probably kind of…
120 00:13:17.400 ⇒ 00:13:27.650 Samuel Roberts: dovetails into, like, PM workflows as well. So I think, you know, the idea here is that there is that linear ticket generator, in the platform.
121 00:13:30.550 ⇒ 00:13:33.740 Samuel Roberts: Have you… have you made use of that much? I don’t know.
122 00:13:33.800 ⇒ 00:13:38.240 Amber Lin: I use the same prompt, but in GBT.
123 00:13:38.240 ⇒ 00:13:38.970 Samuel Roberts: Oh, yeah.
124 00:13:38.970 ⇒ 00:13:39.700 Amber Lin: lit.
125 00:13:40.640 ⇒ 00:13:43.840 Samuel Roberts: So then you’re manually creating the tickets and stuff still?
126 00:13:44.490 ⇒ 00:13:47.760 Amber Lin: Yes…
127 00:13:47.760 ⇒ 00:14:07.750 Amber Lin: I think because it’s a lot easier to create a ticket title, and then I let the engineers fill it out. When I create projects from scratch, I use that prompt, but because it’s not directly in linear, transferring and switching between two tools is a lot.
128 00:14:09.540 ⇒ 00:14:12.950 Samuel Roberts: Right, but I’m talking about the one on the platform that just puts them right into linear.
129 00:14:14.080 ⇒ 00:14:20.340 Amber Lin: Oh, I am not using that one that much. Most of them I create during the meeting.
130 00:14:20.520 ⇒ 00:14:21.830 Samuel Roberts: Got it, okay.
131 00:14:21.830 ⇒ 00:14:22.520 Amber Lin: Hmm.
132 00:14:23.080 ⇒ 00:14:23.680 Samuel Roberts: Okay.
133 00:14:25.420 ⇒ 00:14:29.289 Samuel Roberts: Hmm. Yeah, I think the idea is that whether or not it’s…
134 00:14:29.430 ⇒ 00:14:37.900 Samuel Roberts: From the platform, or maybe somewhere else, like, how can we… push… That number up.
135 00:14:38.430 ⇒ 00:14:43.370 Samuel Roberts: So that we’re more… efficiently.
136 00:14:44.310 ⇒ 00:14:51.540 Samuel Roberts: creating the tickets? The grooming is the other side of it, which obviously is…
137 00:14:54.430 ⇒ 00:14:57.189 Samuel Roberts: a big question mark right now, I think, for me, because.
138 00:14:57.190 ⇒ 00:14:57.510 Amber Lin: I don’t.
139 00:14:57.510 ⇒ 00:15:02.140 Samuel Roberts: necessarily know how well AI can do some of that. I don’t know what the…
140 00:15:02.960 ⇒ 00:15:10.299 Samuel Roberts: You know, sort of best, that’s the word I don’t The current standard is…
141 00:15:10.710 ⇒ 00:15:11.180 Amber Lin: Oh, my God.
142 00:15:11.180 ⇒ 00:15:12.959 Samuel Roberts: How can we up that to…
143 00:15:13.380 ⇒ 00:15:21.340 Samuel Roberts: Because I think that’s the other side of this, is with some more… Like, better tickets, better…
144 00:15:22.110 ⇒ 00:15:26.720 Samuel Roberts: better groomed tickets. A lot of this stuff might be able to be…
145 00:15:26.830 ⇒ 00:15:31.150 Samuel Roberts: Done… we can, like, a first pass done with, like, a cursor agent?
146 00:15:31.580 ⇒ 00:15:32.450 Amber Lin: Which…
147 00:15:32.500 ⇒ 00:15:33.769 Samuel Roberts: For things like…
148 00:15:34.070 ⇒ 00:15:40.530 Samuel Roberts: You know, as long as things are documented well, and the tickets are pretty well defined.
149 00:15:41.540 ⇒ 00:15:45.389 Samuel Roberts: Is a really… it might be a good way to really accelerate our velocity, because…
150 00:15:45.620 ⇒ 00:15:46.030 Amber Lin: Rather than…
151 00:15:46.030 ⇒ 00:15:54.799 Samuel Roberts: Us having to jump in, figure it out. You know, obviously group tickets are already, like, a super beneficial thing to begin with, but we were able to, like, call cursor
152 00:15:55.040 ⇒ 00:16:02.560 Samuel Roberts: write either from Linear, or from Slack, or from GitHub, and have it, like, take a look at an issue, or take.
153 00:16:02.560 ⇒ 00:16:03.630 Amber Lin: Mmm.
154 00:16:04.080 ⇒ 00:16:06.219 Samuel Roberts: So, what that is…
155 00:16:06.370 ⇒ 00:16:13.209 Samuel Roberts: going to enable is us to, like, get a good first pass, see how it does, either, you know, depending on the,
156 00:16:15.050 ⇒ 00:16:26.019 Samuel Roberts: the importance is the right word, but depending on how critical the thing is, like, you know, how many eyes are on it, need to be, like, how much testing it needs, all this other stuff, either way, like, a first pass is helpful.
157 00:16:26.880 ⇒ 00:16:29.499 Samuel Roberts: it gets merged in or not. So.
158 00:16:29.500 ⇒ 00:16:30.140 Amber Lin: Yeah.
159 00:16:30.690 ⇒ 00:16:35.580 Samuel Roberts: Do we have a, like, grooming scoring… Mechanism at this point.
160 00:16:35.900 ⇒ 00:16:44.530 Amber Lin: We have, but now that Justin created that, I can… I can confirm with him to give you guys a…
161 00:16:44.680 ⇒ 00:16:49.560 Amber Lin: To provide a, like, fleshed-out.
162 00:16:50.430 ⇒ 00:16:51.150 Samuel Roberts: Oh, so he just…
163 00:16:51.150 ⇒ 00:16:51.610 Amber Lin: Me too.
164 00:16:51.610 ⇒ 00:16:52.620 Samuel Roberts: made one?
165 00:16:52.620 ⇒ 00:17:01.359 Amber Lin: He made a standard, but we don’t have a scoring guideline, but I think we need metrics for you guys to automate anything.
166 00:17:02.310 ⇒ 00:17:02.900 Samuel Roberts: Yeah.
167 00:17:05.380 ⇒ 00:17:24.519 Amber Lin: Yeah, and I think, even to start off with what tickets has been there for a long time, what tickets don’t have certain things, and also, if we can, to relate the number of tickets… the number of points in cycle to the,
168 00:17:24.520 ⇒ 00:17:30.189 Amber Lin: to the allocations and operating. I think that would be very good, if we can have that.
169 00:17:30.720 ⇒ 00:17:31.470 Samuel Roberts: That’s funny.
170 00:17:31.470 ⇒ 00:17:32.090 Amber Lin: Ancient.
171 00:17:32.090 ⇒ 00:17:36.339 Samuel Roberts: Yeah, that’s definitely something we can start doing better, if we have more…
172 00:17:37.770 ⇒ 00:17:39.860 Samuel Roberts: More certainty on the tickets, I think.
173 00:17:39.860 ⇒ 00:17:41.060 Amber Lin: Yeah, okay.
174 00:17:41.060 ⇒ 00:17:41.730 Samuel Roberts: Totally.
175 00:17:42.880 ⇒ 00:17:48.679 Amber Lin: Right, so… I think these are the main projects.
176 00:17:49.190 ⇒ 00:17:57.209 Amber Lin: So… 1, 2, 3, 4, 4 main projects.
177 00:17:57.210 ⇒ 00:18:00.589 Samuel Roberts: I wouldn’t worry about the adding departments as a major project.
178 00:18:00.720 ⇒ 00:18:02.409 Amber Lin: Oh, okay. Yeah, I think it’s just…
179 00:18:02.410 ⇒ 00:18:03.080 Samuel Roberts: Is it…
180 00:18:03.080 ⇒ 00:18:03.610 Amber Lin: this?
181 00:18:03.790 ⇒ 00:18:05.790 Samuel Roberts: Definitely that, definitely that.
182 00:18:05.890 ⇒ 00:18:11.800 Samuel Roberts: Definitely that, and definitely that, yeah. Those are kind of the big… Internal stuff we have.
183 00:18:12.900 ⇒ 00:18:14.900 Amber Lin: Okay,
184 00:18:14.900 ⇒ 00:18:17.629 Samuel Roberts: Three of which I think, are basically the OKRs, and the other one is kind of.
185 00:18:17.630 ⇒ 00:18:18.750 Amber Lin: Yeah, yeah.
186 00:18:18.750 ⇒ 00:18:19.589 Samuel Roberts: So we’re pretty good there.
187 00:18:19.590 ⇒ 00:18:30.090 Amber Lin: helpful. I think I want to know about the hours available, because that will help Rico assign, how much we want to do each week.
188 00:18:30.490 ⇒ 00:18:33.440 Samuel Roberts: Yeah, that is… Tough.
189 00:18:37.070 ⇒ 00:18:40.039 Samuel Roberts: I would… Maybe that’s true.
190 00:18:40.790 ⇒ 00:18:48.059 Samuel Roberts: Part of it is because, like, client work sometimes is, you know, it ebbs and flows, the way, like, what needs to get done, and so some days we’re kind of slammed, or some weeks we’re kind of slammed.
191 00:18:48.160 ⇒ 00:18:54.029 Samuel Roberts: I’m… Let’s see, what do we have right now? We’ve got an ABC…
192 00:18:54.500 ⇒ 00:18:57.950 Samuel Roberts: You’ve got defaults, you’ve got individual who’s soccer.
193 00:18:58.590 ⇒ 00:19:00.169 Samuel Roberts: I also believes, too.
194 00:19:03.630 ⇒ 00:19:06.760 Samuel Roberts: Here’s… Three of us…
195 00:19:09.560 ⇒ 00:19:10.509 Amber Lin: Yeah, what?
196 00:19:10.900 ⇒ 00:19:14.109 Amber Lin: Are you on? You’re on ABC, you’re on.
197 00:19:14.110 ⇒ 00:19:19.110 Samuel Roberts: I’m kind of… yeah, I’m kind of touching all of them in some way right now, just as, like, helping…
198 00:19:19.440 ⇒ 00:19:25.790 Samuel Roberts: Those two guys, so… you know, I’m definitely more in ABC and, Interlude.
199 00:19:27.660 ⇒ 00:19:36.180 Samuel Roberts: and then kind of, yeah, not quite as plugged into the other ones as much as I think Utom would like me to be at this point, but I’m just… it’s hard for me to get up to speed. Like, default, he’s just… he’s just more…
200 00:19:36.890 ⇒ 00:19:38.359 Samuel Roberts: Plugged in with right now.
201 00:19:38.400 ⇒ 00:19:39.320 Amber Lin: Yeah.
202 00:19:39.400 ⇒ 00:19:42.359 Samuel Roberts: And Insomnia’s just, like, Casey doing some of the automation stuff, so it’s not like I’
203 00:19:42.940 ⇒ 00:19:46.060 Samuel Roberts: super helpful tech lead-wise, but ABC and Interlead, I definitely have been more.
204 00:19:46.510 ⇒ 00:19:49.480 Amber Lin: Okay, so I would say…
205 00:19:50.770 ⇒ 00:19:57.279 Amber Lin: How much time total do you have, and how much time do you have left over? Like, a general range?
206 00:19:57.730 ⇒ 00:20:03.550 Samuel Roberts: I would say, like, maybe… Maybe something like…
207 00:20:04.060 ⇒ 00:20:08.930 Samuel Roberts: I don’t know, I don’t want to overquote this, you know, it’s hard. I’m trying to think, like, as…
208 00:20:10.690 ⇒ 00:20:19.419 Samuel Roberts: you know, less of my work is on specific things, the ABC thing might change that a little bit, but maybe say, like, half my time to internal stuff, maybe, if we could?
209 00:20:19.590 ⇒ 00:20:20.040 Amber Lin: Huh.
210 00:20:20.800 ⇒ 00:20:23.380 Amber Lin: Total, you have 40 hours?
211 00:20:23.800 ⇒ 00:20:29.210 Samuel Roberts: About, yeah, I’m up to 40 at this point. I was sort of… Getting up to that, so…
212 00:20:29.220 ⇒ 00:20:30.210 Amber Lin: Hmm.
213 00:20:30.590 ⇒ 00:20:40.859 Amber Lin: And Casey should also have half, right? ABC takes him… well, Insomnia used to take him about 20, like, 17 hours. I think they’re wanting to reduce that to 10.
214 00:20:40.860 ⇒ 00:20:42.330 Samuel Roberts: I’m hoping they can, yeah.
215 00:20:42.330 ⇒ 00:20:47.080 Amber Lin: Yeah, and ABC probably is, like… 12…
216 00:20:47.510 ⇒ 00:20:51.919 Amber Lin: 13-ish hours, so I would say he has…
217 00:20:52.480 ⇒ 00:20:56.669 Amber Lin: Like, 15? 10 to 15 on internal?
218 00:20:58.050 ⇒ 00:20:59.250 Samuel Roberts: Yeah, I would say that.
219 00:21:00.650 ⇒ 00:21:07.330 Amber Lin: And Mustafa, I don’t know how long he has to spend on default, and he helps on ABC sometimes.
220 00:21:07.330 ⇒ 00:21:11.800 Samuel Roberts: Definitely helps an institute, yeah, you’re right. So I would say maybe, like, another…
221 00:21:12.730 ⇒ 00:21:14.030 Samuel Roberts: Yeah, I call it 10.
222 00:21:14.780 ⇒ 00:21:23.910 Samuel Roberts: So… But again, this is very, I said, fungible, but like…
223 00:21:25.300 ⇒ 00:21:32.520 Samuel Roberts: it varies. You know what I mean? And that’s kind of okay for certain things, because, like, the client, like, you know, like what Tom says, like, the client work.
224 00:21:32.760 ⇒ 00:21:34.619 Samuel Roberts: Gotta come first, so…
225 00:21:34.620 ⇒ 00:21:37.290 Amber Lin: Yeah. Okay. And then for you guys…
226 00:21:37.290 ⇒ 00:21:38.539 Samuel Roberts: Let’s shoot for that. Yeah, go ahead.
227 00:21:38.540 ⇒ 00:21:43.559 Amber Lin: Can you run… let’s just run on weekly, so planning gets easier.
228 00:21:43.820 ⇒ 00:21:49.130 Amber Lin: And… Do you think we should have daily stand-ups?
229 00:21:50.030 ⇒ 00:21:54.339 Samuel Roberts: I don’t… Think that’s gonna be necessary.
230 00:21:55.090 ⇒ 00:21:57.470 Samuel Roberts: I would say, I’m wondering…
231 00:21:58.230 ⇒ 00:22:01.940 Samuel Roberts: We have our, like, landing meeting on Monday morning.
232 00:22:04.850 ⇒ 00:22:08.980 Samuel Roberts: We usually just kind of walk through what’s going on,
233 00:22:09.360 ⇒ 00:22:16.770 Samuel Roberts: in linear, and just, like, chat through things and see if anyone needs anything from me, or, like, so maybe it would be best to just do, like, a…
234 00:22:17.880 ⇒ 00:22:20.320 Samuel Roberts: Let’s check in…
235 00:22:22.180 ⇒ 00:22:26.070 Amber Lin: like, Wednesday, Friday? But Friday, most people are done.
236 00:22:26.070 ⇒ 00:22:27.410 Samuel Roberts: Yeah, Friday’s hard.
237 00:22:32.870 ⇒ 00:22:34.690 Samuel Roberts: Sorry, I’m just looking at the calendar a little bit.
238 00:22:36.800 ⇒ 00:22:42.429 Amber Lin: It could also be shorter stand-ups, but… More frequent.
239 00:22:44.570 ⇒ 00:22:47.030 Amber Lin: How long is your stance right now?
240 00:22:52.980 ⇒ 00:22:53.550 Amber Lin: Oh…
241 00:22:53.550 ⇒ 00:22:54.230 Samuel Roberts: Insane, it’s okay.
242 00:22:54.230 ⇒ 00:22:54.950 Amber Lin: Nice.
243 00:22:55.530 ⇒ 00:22:56.260 Samuel Roberts: Whoop?
244 00:22:56.260 ⇒ 00:22:59.589 Amber Lin: We mixed the AI and data platform stand up.
245 00:22:59.590 ⇒ 00:23:02.370 Samuel Roberts: That might be kind of an old title, to be honest.
246 00:23:02.370 ⇒ 00:23:03.460 Amber Lin: Huh, okay.
247 00:23:03.660 ⇒ 00:23:04.320 Samuel Roberts: So…
248 00:23:04.440 ⇒ 00:23:07.949 Samuel Roberts: I can probably update that now that I have control of that, because they were at times speeds for a while.
249 00:23:07.950 ⇒ 00:23:08.490 Amber Lin: Hmm.
250 00:23:08.490 ⇒ 00:23:15.159 Samuel Roberts: I would say maybe, yeah, if we could… Yeah, Wednesday might be good.
251 00:23:16.440 ⇒ 00:23:23.579 Samuel Roberts: I mean, I don’t want to, like, overburden with this, but I want to keep us on track as well, you know what I mean?
252 00:23:23.580 ⇒ 00:23:23.930 Amber Lin: Yeah.
253 00:23:23.930 ⇒ 00:23:28.930 Samuel Roberts: maybe…
254 00:23:29.710 ⇒ 00:23:31.519 Amber Lin: And do Wednesday, Thursday.
255 00:23:33.980 ⇒ 00:23:35.549 Samuel Roberts: Do you think we need both of those, or…
256 00:23:36.490 ⇒ 00:23:49.609 Amber Lin: I would say we start from more and decrease. Like, I would even start with daily, and then we can find out in a week that, hey, we only need to meet 3 times a week, and then we can see what days are better.
257 00:23:50.910 ⇒ 00:23:55.139 Samuel Roberts: Okay, yeah, I mean, is it possible to just fold it into that morning meeting? I don’t know.
258 00:23:55.540 ⇒ 00:23:57.579 Samuel Roberts: time frame, what that looks like for…
259 00:23:58.360 ⇒ 00:23:58.820 Samuel Roberts: Early.
260 00:23:58.820 ⇒ 00:23:59.430 Amber Lin: That’s the standard.
261 00:23:59.430 ⇒ 00:24:01.440 Samuel Roberts: We bumped it up early, but yeah.
262 00:24:01.440 ⇒ 00:24:03.769 Amber Lin: Yeah, I don’t have to be there, so Rico.
263 00:24:03.770 ⇒ 00:24:06.030 Samuel Roberts: Yeah, Rico, does that time work for you?
264 00:24:07.870 ⇒ 00:24:09.580 Rico Rejoso: Sure, yeah, we can…
265 00:24:10.740 ⇒ 00:24:11.669 Samuel Roberts: Yeah, yeah, so…
266 00:24:11.670 ⇒ 00:24:12.950 Rico Rejoso: default for 10.
267 00:24:13.610 ⇒ 00:24:14.670 Rico Rejoso: the name.
268 00:24:15.950 ⇒ 00:24:16.810 Samuel Roberts: Say that again?
269 00:24:17.010 ⇒ 00:24:22.150 Rico Rejoso: I mean, we have default on, every Tuesday and Thursday for 10 a.m.
270 00:24:23.300 ⇒ 00:24:24.790 Amber Lin: Let me check the time…
271 00:24:24.790 ⇒ 00:24:25.430 Samuel Roberts: Yeah, dude.
272 00:24:25.430 ⇒ 00:24:27.380 Amber Lin: Yeah, I don’t think it overlaps, it’s…
273 00:24:27.380 ⇒ 00:24:28.010 Samuel Roberts: No, no, no.
274 00:24:28.010 ⇒ 00:24:28.700 Amber Lin: before default.
275 00:24:28.700 ⇒ 00:24:37.350 Samuel Roberts: I think, yeah, because, like, we tend to go through all this stuff anyway, so it would be great to have you on the, like, internal PM side, because we kind of just walk through everything on the AI team’s plate.
276 00:24:37.860 ⇒ 00:24:39.720 Samuel Roberts: Anyway, so…
277 00:24:45.200 ⇒ 00:24:46.050 Amber Lin: Okay.
278 00:24:46.620 ⇒ 00:24:53.950 Amber Lin: Oh, that sounds good. I think what we need to do in the next steps, we probably should do…
279 00:24:54.700 ⇒ 00:25:01.300 Amber Lin: Grooming…
280 00:25:02.040 ⇒ 00:25:08.980 Amber Lin: mostly just to add one, I guess, one to add projects that we just talked about, and…
281 00:25:08.980 ⇒ 00:25:10.139 Samuel Roberts: That’s probably smart, yeah.
282 00:25:10.140 ⇒ 00:25:12.690 Amber Lin: Yeah, cleanup, so we’ll say…
283 00:25:12.690 ⇒ 00:25:18.260 Samuel Roberts: Yeah, I think a lot of clean… I think I… you know, a lot of that stuff’s been there for a while, I think, so I’m not sure what’s, you know…
284 00:25:19.330 ⇒ 00:25:20.810 Samuel Roberts: Yeah, definitely.
285 00:25:40.130 ⇒ 00:25:49.979 Amber Lin: Yeah, and then I would move… we can change the status here, and then we can move only the in-progress ones in… in here.
286 00:25:50.970 ⇒ 00:25:51.850 Samuel Roberts: Okay, cool.
287 00:25:51.850 ⇒ 00:25:55.750 Amber Lin: Yeah, I think that will help us, prioritize.
288 00:25:55.880 ⇒ 00:25:59.659 Amber Lin: That is… In progress.
289 00:26:01.390 ⇒ 00:26:03.590 Amber Lin: Okay, so that means…
290 00:26:12.010 ⇒ 00:26:14.579 Amber Lin: Alright, and then we can…
291 00:26:19.770 ⇒ 00:26:38.030 Amber Lin: Then we should add… Remove, sale, tickets… For current cycle… Tickets, and estimates, and then… Oops.
292 00:26:38.280 ⇒ 00:26:42.240 Amber Lin: I think all of them have an owner, but…
293 00:26:42.400 ⇒ 00:26:43.509 Samuel Roberts: A lot of them do, I don’t know if anything.
294 00:26:43.510 ⇒ 00:26:45.480 Amber Lin: They don’t have estimates.
295 00:26:45.680 ⇒ 00:26:49.309 Samuel Roberts: Definitely not. No, this was definitely… there were not a lot of estimates on it, first of all.
296 00:26:49.310 ⇒ 00:26:56.710 Amber Lin: Yeah. Okay, I think that not as a first step would be pretty helpful. Rico, can you take these…
297 00:26:57.040 ⇒ 00:26:59.670 Amber Lin: At least the first…
298 00:27:00.100 ⇒ 00:27:08.549 Amber Lin: The first task, and maybe a quick run-through, maybe you guys can meet again to go through the second and third task?
299 00:27:09.100 ⇒ 00:27:10.210 Samuel Roberts: Yeah, Hogwarts.
300 00:27:10.680 ⇒ 00:27:11.330 Amber Lin: Okay.
301 00:27:11.810 ⇒ 00:27:17.959 Amber Lin: And then… Sam, would you add Rico to all the AI team stand-ups?
302 00:27:17.960 ⇒ 00:27:19.180 Samuel Roberts: Yeah, sure, sure.
303 00:27:19.180 ⇒ 00:27:24.130 Amber Lin: Okay, so Yoohoo can start getting a sense of what it’s like right now.
304 00:27:26.040 ⇒ 00:27:27.910 Samuel Roberts: Cool, I will do that. Yeah, there’s one…
305 00:27:28.070 ⇒ 00:27:31.919 Samuel Roberts: 10.30 is, like, the planning one on Monday, and then the rest are at 9am.
306 00:27:32.060 ⇒ 00:27:36.539 Amber Lin: Tuesday, Wednesday, Thursday, and then there’s a retro, I think it’s 9.30, I’m not sure why it was that, but…
307 00:27:38.360 ⇒ 00:27:41.130 Samuel Roberts: I’ll just… I’ll add you to both, Rico, but I just wanted to give you a heads up.
308 00:27:45.050 ⇒ 00:27:45.820 Amber Lin: Okay.
309 00:27:46.860 ⇒ 00:27:47.940 Amber Lin: Sounds good.
310 00:27:47.940 ⇒ 00:27:49.460 Samuel Roberts: Alrighty, thank you guys so much.
311 00:27:49.870 ⇒ 00:27:51.319 Amber Lin: Hi, thank you both.
312 00:27:51.640 ⇒ 00:27:53.159 Samuel Roberts: Can you share that doc as well?
313 00:27:53.300 ⇒ 00:27:56.279 Amber Lin: Yes, let me share that in the…
314 00:27:56.420 ⇒ 00:27:59.460 Amber Lin: And the AI team, and then the PM channel.
315 00:28:00.100 ⇒ 00:28:01.600 Amber Lin: Fine.
316 00:28:01.900 ⇒ 00:28:02.710 Amber Lin: Nope.
317 00:28:06.200 ⇒ 00:28:10.040 Amber Lin: Oh, actually, Sam, I’ll just DM it to you, I’m not in the AI channel.
318 00:28:10.040 ⇒ 00:28:11.650 Samuel Roberts: It’s fine, okay, thank you, yeah, appreciate it.
319 00:28:11.650 ⇒ 00:28:13.010 Amber Lin: Yeah, of course.
320 00:28:13.250 ⇒ 00:28:13.760 Samuel Roberts: Alright.
321 00:28:14.330 ⇒ 00:28:15.949 Amber Lin: Alright, bye!
322 00:28:16.120 ⇒ 00:28:16.930 Samuel Roberts: Anything.