Meeting Title: Planning: AI-Default-Interlude-ABC Date: 2025-11-10 Meeting participants: Samuel Roberts, Mustafa Raja, Gabriel Lam, Rico Rejoso, Uttam Kumaran
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1 00:00:45.930 ⇒ 00:00:46.580 Gabriel Lam: Born in.
2 00:00:51.120 ⇒ 00:00:52.180 Samuel Roberts: Ayy.
3 00:00:59.560 ⇒ 00:01:00.289 Samuel Roberts: How’s everyone?
4 00:01:00.290 ⇒ 00:01:01.069 Mustafa Raja: How are you?
5 00:01:10.090 ⇒ 00:01:11.450 Samuel Roberts: Yeah.
6 00:01:12.930 ⇒ 00:01:14.829 Samuel Roberts: Oh, has anybody heard from Casey?
7 00:01:16.500 ⇒ 00:01:22.090 Mustafa Raja: I think Casey isn’t going to be joining…
8 00:01:22.550 ⇒ 00:01:25.710 Mustafa Raja: Put them said in his online cookies, he’s down for the team.
9 00:01:26.170 ⇒ 00:01:28.760 Samuel Roberts: I figured, I saw some stuff about them.
10 00:01:28.990 ⇒ 00:01:30.679 Samuel Roberts: Storm and everything.
11 00:01:31.330 ⇒ 00:01:32.280 Mustafa Raja: Okay.
12 00:01:36.280 ⇒ 00:01:37.689 Samuel Roberts: How are your weekends?
13 00:01:39.540 ⇒ 00:01:42.619 Mustafa Raja: Yeah, simple. Nothing much.
14 00:01:43.970 ⇒ 00:01:45.610 Mustafa Raja: I just tune in on.
15 00:01:46.960 ⇒ 00:01:47.820 Mustafa Raja: They usually…
16 00:01:48.770 ⇒ 00:01:50.279 Samuel Roberts: Yeah, good, good.
17 00:01:52.090 ⇒ 00:01:54.440 Samuel Roberts: We got snow here for the first time this week.
18 00:01:54.440 ⇒ 00:01:55.209 Mustafa Raja: Me too. Oh!
19 00:01:55.490 ⇒ 00:01:56.450 Gabriel Lam: Oh, wow.
20 00:01:56.620 ⇒ 00:01:58.780 Samuel Roberts: Yeah, it’s pretty cold today.
21 00:01:58.780 ⇒ 00:01:59.680 Gabriel Lam: Oh, yeah.
22 00:02:03.400 ⇒ 00:02:07.059 Gabriel Lam: Yeah, my weekend was good. I’m a little under the weather, so recovered.
23 00:02:07.060 ⇒ 00:02:08.000 Samuel Roberts: Oh, no.
24 00:02:08.009 ⇒ 00:02:10.199 Gabriel Lam: There’s a flu coming around or something.
25 00:02:10.199 ⇒ 00:02:11.029 Samuel Roberts: Oh, yeah.
26 00:02:12.350 ⇒ 00:02:13.980 Gabriel Lam: We’re hanging it there.
27 00:02:13.980 ⇒ 00:02:15.789 Samuel Roberts: Oh, it’s rough. That’s rough.
28 00:02:15.790 ⇒ 00:02:16.910 Gabriel Lam: Fuck it.
29 00:02:20.590 ⇒ 00:02:28.920 Samuel Roberts: Oh, yeah, I gotta get my flu shot at some point. My wife gets hers from work, because she’s a nurse, but I have to go get it myself, especially with the baby now.
30 00:02:29.780 ⇒ 00:02:30.739 Samuel Roberts: I got it.
31 00:02:30.870 ⇒ 00:02:32.120 Samuel Roberts: Yeah, yeah.
32 00:02:34.790 ⇒ 00:02:37.429 Gabriel Lam: Do you ever go to where she works and, like, she injects it in you?
33 00:02:37.730 ⇒ 00:02:38.870 Samuel Roberts: No, no.
34 00:02:40.680 ⇒ 00:02:45.899 Gabriel Lam: There was, I think during COVID, they had, like, a whole family thing, so I could go with her.
35 00:02:45.900 ⇒ 00:02:47.610 Samuel Roberts: But I don’t think they do that anymore.
36 00:02:59.410 ⇒ 00:03:03.900 Samuel Roberts: Yeah, I mean… I guess Uptam says he’s got, like, 10 minutes.
37 00:03:04.520 ⇒ 00:03:06.889 Gabriel Lam: Yeah. Should we get started on anything, or…
38 00:03:08.280 ⇒ 00:03:13.160 Gabriel Lam: And just have something to talk about as he joins you, we can wait as well.
39 00:03:13.980 ⇒ 00:03:19.369 Mustafa Raja: Yeah, I guess Sutam said that he’d want the sand application to be deployed.
40 00:03:21.070 ⇒ 00:03:22.110 Mustafa Raja: Or something.
41 00:03:24.460 ⇒ 00:03:26.199 Samuel Roberts: Oh, you want to actually merge it, you mean?
42 00:03:27.070 ⇒ 00:03:33.169 Mustafa Raja: Yeah, yeah, he said it in a thread with Gabe.
43 00:03:38.380 ⇒ 00:03:40.940 Gabriel Lam: Sorry, I… I didn’t hear it.
44 00:03:40.940 ⇒ 00:03:43.549 Samuel Roberts: Oh, yeah, he wants to deploy it to prod.
45 00:03:43.550 ⇒ 00:03:44.530 Mustafa Raja: Yeah.
46 00:03:44.620 ⇒ 00:03:46.030 Gabriel Lam: Oh, I don’t.
47 00:03:46.820 ⇒ 00:03:49.260 Mustafa Raja: I lose it on Friday, yeah.
48 00:03:49.260 ⇒ 00:03:53.439 Samuel Roberts: Yeah, I mean, I guess we’re good to deploy it. I don’t… I just… I like keeping it, you know, not there.
49 00:03:53.440 ⇒ 00:03:53.900 Mustafa Raja: In case I’m.
50 00:03:53.900 ⇒ 00:03:55.410 Samuel Roberts: It’s broken, but I think it’s probably good now.
51 00:03:56.110 ⇒ 00:03:58.550 Mustafa Raja: Yeah, it looks… looks good.
52 00:03:59.120 ⇒ 00:03:59.970 Samuel Roberts: Okay, yeah.
53 00:04:01.000 ⇒ 00:04:06.560 Mustafa Raja: I also think Gabe tested with Amber and… Rico.
54 00:04:07.780 ⇒ 00:04:09.280 Mustafa Raja: So it should be good, right?
55 00:04:09.280 ⇒ 00:04:12.439 Samuel Roberts: Oh yeah, I was… yeah, I saw some stuff about that.
56 00:04:12.630 ⇒ 00:04:20.890 Gabriel Lam: Yeah, I mean… They hate… the feedback that they got was, I think, the…
57 00:04:21.019 ⇒ 00:04:28.479 Gabriel Lam: what we have is pretty good, and I think the tooltips are what… hang on, let me try to find out what she was saying.
58 00:04:32.780 ⇒ 00:04:34.380 Gabriel Lam: God, where is it? There we go.
59 00:04:42.180 ⇒ 00:04:47.669 Gabriel Lam: Okay, the…
60 00:04:48.540 ⇒ 00:04:59.369 Gabriel Lam: tooltip and stand-up summary is something that… the tooltips are not that urgent for them. I think something that Amber noted was, like, is there something that we can see for the whole week? Like, a summary for the whole week?
61 00:04:59.670 ⇒ 00:05:01.330 Samuel Roberts: Yeah. Okay.
62 00:05:01.680 ⇒ 00:05:08.640 Gabriel Lam: But I think if there is a summary for the whole week, it sort of would get far too complicated, or maybe not complicated.
63 00:05:08.970 ⇒ 00:05:13.999 Gabriel Lam: like, there’d be too much content, so I wonder what it would look like, whether it’s…
64 00:05:15.240 ⇒ 00:05:19.589 Gabriel Lam: You know, how… how general, or how… high level.
65 00:05:19.590 ⇒ 00:05:20.120 Mustafa Raja: I guess.
66 00:05:20.120 ⇒ 00:05:20.699 Gabriel Lam: You can make it.
67 00:05:20.700 ⇒ 00:05:24.740 Mustafa Raja: You can have a… have a running… The running summary?
68 00:05:24.920 ⇒ 00:05:28.289 Mustafa Raja: From Monday to Friday, if that makes sense.
69 00:05:30.390 ⇒ 00:05:30.930 Gabriel Lam: Hmm.
70 00:05:30.930 ⇒ 00:05:32.629 Samuel Roberts: Yeah, I can see what you’re saying.
71 00:05:32.630 ⇒ 00:05:32.980 Gabriel Lam: Yeah.
72 00:05:32.980 ⇒ 00:05:36.600 Samuel Roberts: Using the previous summaries, we could probably do something.
73 00:05:36.600 ⇒ 00:05:38.020 Mustafa Raja: For the whole week, yeah.
74 00:05:38.020 ⇒ 00:05:39.030 Samuel Roberts: Yeah.
75 00:05:41.010 ⇒ 00:05:42.440 Samuel Roberts: That’s not a bad idea.
76 00:05:42.750 ⇒ 00:05:45.689 Samuel Roberts: Kind of like a… And then we can even use that to…
77 00:05:45.820 ⇒ 00:05:49.089 Samuel Roberts: Generate the future ones instead of just the current one. Go ahead.
78 00:05:49.560 ⇒ 00:05:56.210 Mustafa Raja: I also have the logic and database to identify the week for weekly goals, I did that.
79 00:05:57.110 ⇒ 00:06:00.060 Mustafa Raja: Search integrity.
80 00:06:01.020 ⇒ 00:06:01.670 Gabriel Lam: Okay, awesome.
81 00:06:01.670 ⇒ 00:06:04.430 Samuel Roberts: You’re saying it keeps track of the week that it is, or…
82 00:06:04.430 ⇒ 00:06:09.339 Mustafa Raja: Is that what you’re saying? Yeah, yeah. So I have a week start date.
83 00:06:09.910 ⇒ 00:06:10.540 Samuel Roberts: Oh, cool.
84 00:06:10.820 ⇒ 00:06:13.360 Mustafa Raja: Using that, we can identify, okay.
85 00:06:13.470 ⇒ 00:06:15.210 Mustafa Raja: This is the week we’re talking about.
86 00:06:19.660 ⇒ 00:06:21.120 Samuel Roberts: Oh, cool, yeah.
87 00:06:21.960 ⇒ 00:06:26.550 Samuel Roberts: Okay, I… that’s… okay, I didn’t realize you made the weekly goals table, too. Yeah, we might even want to…
88 00:06:27.450 ⇒ 00:06:31.870 Samuel Roberts: Turn that one into the kind of sprint… table.
89 00:06:32.350 ⇒ 00:06:33.040 Gabriel Lam: Hmm.
90 00:06:33.250 ⇒ 00:06:37.059 Samuel Roberts: That we could then keep track of which stand-ups applied to that week.
91 00:06:39.620 ⇒ 00:06:42.959 Samuel Roberts: It’s not critical, because the dates should make it pretty obvious, but…
92 00:06:43.910 ⇒ 00:06:53.520 Samuel Roberts: You know what I mean? Like, a sprint could have weekly goals, have a week start date, have a number of stand-ups that get applied to it, so then, historically looking, you could just pull that Sprint object with all the…
93 00:06:54.110 ⇒ 00:06:55.459 Samuel Roberts: stand-up summaries.
94 00:06:57.110 ⇒ 00:06:57.830 Mustafa Raja: Yeah.
95 00:06:57.830 ⇒ 00:07:00.689 Samuel Roberts: Yeah, I don’t think it’s critical right now, because the.
96 00:07:00.690 ⇒ 00:07:01.490 Mustafa Raja: I mean…
97 00:07:01.490 ⇒ 00:07:01.930 Samuel Roberts: Clear.
98 00:07:01.930 ⇒ 00:07:12.480 Mustafa Raja: I made this, a separate table, because, it was messing up, it wasn’t good enough within the table.
99 00:07:12.920 ⇒ 00:07:13.320 Samuel Roberts: No, I think.
100 00:07:13.320 ⇒ 00:07:14.810 Mustafa Raja: Stand up some of these.
101 00:07:15.150 ⇒ 00:07:18.480 Mustafa Raja: Since I needed to identify the week and…
102 00:07:20.900 ⇒ 00:07:21.830 Samuel Roberts: -Oh.
103 00:07:25.390 ⇒ 00:07:27.880 Samuel Roberts: -Oh. Okay.
104 00:07:28.420 ⇒ 00:07:29.410 Mustafa Raja: Sorry.
105 00:07:29.790 ⇒ 00:07:30.730 Samuel Roberts: You’re good.
106 00:07:33.050 ⇒ 00:07:39.939 Mustafa Raja: Yeah, so it kept my thing up, and yeah, so I just went ahead and created another two people, so…
107 00:07:39.940 ⇒ 00:07:51.059 Samuel Roberts: No, I think that’s smart, and I think we can use that moving forward for some other things, too. We could add other fields onto there. One thing I’m noticing looking at Superbase right now is that the client IDs are just a text field.
108 00:07:52.560 ⇒ 00:07:55.800 Mustafa Raja: Yes. They’re not, they’re not… Oh, no, I didn’t link them.
109 00:07:55.800 ⇒ 00:07:59.079 Samuel Roberts: Okay, that’s what I… yeah, I think we should do that. That would help, probably.
110 00:07:59.300 ⇒ 00:08:00.930 Samuel Roberts: At some point.
111 00:08:01.260 ⇒ 00:08:01.830 Mustafa Raja: Yeah.
112 00:08:02.840 ⇒ 00:08:08.090 Samuel Roberts: Keep things, you know, because otherwise, like, we could have a problem where something gets messed up, and…
113 00:08:08.800 ⇒ 00:08:13.149 Samuel Roberts: If they’re… if they’re linked… Then… yeah, yeah, totally, okay, good.
114 00:08:13.690 ⇒ 00:08:15.880 Samuel Roberts: But yeah, I think that looks good.
115 00:08:16.190 ⇒ 00:08:22.269 Samuel Roberts: Yeah, because we could add the weekly goals, eventually we could have, like, the week summaries, the running summaries stored there, even.
116 00:08:22.530 ⇒ 00:08:24.380 Samuel Roberts: There’s a few things we could do with that.
117 00:08:30.710 ⇒ 00:08:34.040 Samuel Roberts: Yeah, I mean, I guess, I guess we could merge it. I would love to get those…
118 00:08:35.610 ⇒ 00:08:41.150 Samuel Roberts: Probably being related to the client’s table, and make sure that nothing is broken before we merge it.
119 00:08:43.520 ⇒ 00:08:45.190 Samuel Roberts: It’s the same layer.
120 00:08:45.490 ⇒ 00:08:47.670 Samuel Roberts: No, no, no, the client IDs.
121 00:08:48.210 ⇒ 00:08:52.859 Mustafa Raja: Oh, okay, okay, okay, yeah, so, so you want, so you want, a foreign key?
122 00:08:52.980 ⇒ 00:08:54.460 Mustafa Raja: for clients.
123 00:08:54.460 ⇒ 00:08:59.099 Samuel Roberts: Yeah, I think the client ID should be… yeah, the foreign key for the client’s table instead of just text.
124 00:08:59.100 ⇒ 00:08:59.680 Mustafa Raja: Okay.
125 00:08:59.680 ⇒ 00:09:05.839 Samuel Roberts: I don’t know if that’s going to be… how that is retroactively, because it might mean we don’t want to drop anything, you know?
126 00:09:06.300 ⇒ 00:09:07.359 Mustafa Raja: Yeah, yeah.
127 00:09:07.920 ⇒ 00:09:09.420 Mustafa Raja: Yeah, good.
128 00:09:09.420 ⇒ 00:09:14.620 Samuel Roberts: But hopefully that means all the client IDs are still accurate and nothing’s gotten… you know.
129 00:09:14.620 ⇒ 00:09:15.450 Mustafa Raja: Yeah, yeah.
130 00:09:16.120 ⇒ 00:09:16.450 Samuel Roberts: Yeah.
131 00:09:16.450 ⇒ 00:09:18.890 Mustafa Raja: Yeah, I believe they are, they’re all, like, iterated.
132 00:09:18.890 ⇒ 00:09:19.690 Samuel Roberts: Yeah.
133 00:09:19.810 ⇒ 00:09:25.590 Mustafa Raja: It hasn’t been long since this label got created, I think it was Friday last week.
134 00:09:25.830 ⇒ 00:09:26.610 Mustafa Raja: Yeah.
135 00:09:27.300 ⇒ 00:09:28.050 Samuel Roberts: Okay.
136 00:09:33.090 ⇒ 00:09:37.019 Samuel Roberts: Cool, alright. Yeah, any other thoughts about, like.
137 00:09:37.300 ⇒ 00:09:40.319 Samuel Roberts: Anything else that needs to happen here before we merge this in, I guess?
138 00:09:46.720 ⇒ 00:09:49.180 Gabriel Lam: I don’t think it’s… I don’t think so.
139 00:09:49.180 ⇒ 00:09:57.020 Samuel Roberts: Yeah, I think it’s good. I mean, obviously, it can be ongoing. That’s the nice thing about working on, like, internal stuff on a small team, is, like, you know.
140 00:09:57.020 ⇒ 00:09:59.660 Gabriel Lam: We could always push the product in and keep fixing it.
141 00:09:59.840 ⇒ 00:10:01.770 Samuel Roberts: Yeah, exactly, exactly.
142 00:10:02.080 ⇒ 00:10:06.499 Samuel Roberts: So I’m inclined to merge it then, and then today we can fix the client IDs, if that works.
143 00:10:06.500 ⇒ 00:10:07.220 Gabriel Lam: Yeah.
144 00:10:07.780 ⇒ 00:10:09.490 Samuel Roberts: I’ll go ahead and merge it right now, then.
145 00:10:09.840 ⇒ 00:10:10.570 Gabriel Lam: Awesome.
146 00:10:11.830 ⇒ 00:10:16.400 Samuel Roberts: Yeah, everything looks good, looks like it’s fine to merge, no conflicts, so we’re gonna do it.
147 00:10:16.650 ⇒ 00:10:17.400 Gabriel Lam: Yep.
148 00:10:17.950 ⇒ 00:10:19.929 Samuel Roberts: Cool, alright, that’s gonna build then.
149 00:10:23.660 ⇒ 00:10:26.930 Samuel Roberts: Cool. Yeah.
150 00:10:27.870 ⇒ 00:10:33.879 Gabriel Lam: I also, talked with Hannah on Friday, about… Yes. I don’t… I see we didn’t get a PRD yet, but…
151 00:10:33.880 ⇒ 00:10:34.500 Samuel Roberts: Yeah.
152 00:10:35.340 ⇒ 00:10:39.309 Gabriel Lam: I have some thoughts there from her.
153 00:10:39.310 ⇒ 00:10:41.940 Samuel Roberts: That’d be great to hear, actually. Great to think about. Yeah.
154 00:10:41.940 ⇒ 00:10:48.790 Gabriel Lam: Maybe we can wait till Utam shows up, or… because I don’t know if he has anything… Already prepared.
155 00:10:55.550 ⇒ 00:10:59.630 Samuel Roberts: Yeah, I mean, I would love to hear what you had to say either way, so… but if we’re gonna have to go over it again, that may be…
156 00:10:59.630 ⇒ 00:11:03.599 Gabriel Lam: I mean, I think we can go over it again, I’m happy to just share.
157 00:11:03.730 ⇒ 00:11:12.030 Gabriel Lam: But there is a Notion doc, basically, of… The… the step-by-step process.
158 00:11:13.020 ⇒ 00:11:17.849 Gabriel Lam: And there is a backlog, but I think her main struggle is figuring out what…
159 00:11:18.440 ⇒ 00:11:22.930 Gabriel Lam: case study to work on. So there’s, like, if I can find a…
160 00:11:24.370 ⇒ 00:11:26.779 Gabriel Lam: If I can find the notion,
161 00:11:40.060 ⇒ 00:11:41.810 Gabriel Lam: Sorry, give it a second to load.
162 00:11:42.890 ⇒ 00:11:43.460 Mustafa Raja: Peace.
163 00:12:02.110 ⇒ 00:12:13.210 Gabriel Lam: So, if you guys see… the screen… There’s basically…
164 00:12:13.370 ⇒ 00:12:15.099 Gabriel Lam: This is what she goes through.
165 00:12:15.450 ⇒ 00:12:21.760 Gabriel Lam: Okay. To… Write any case study.
166 00:12:22.350 ⇒ 00:12:24.940 Gabriel Lam: And… the sort of…
167 00:12:25.390 ⇒ 00:12:35.469 Gabriel Lam: steps 2 to 4 are pretty fast, generally pretty seamless. It’s really the sort of step 0 to 1 that has the biggest
168 00:12:37.390 ⇒ 00:12:43.390 Gabriel Lam: pain point or barrier. What often happens is… Utam…
169 00:12:43.490 ⇒ 00:12:45.239 Gabriel Lam: We’ll say, like, hey, can we…
170 00:12:46.030 ⇒ 00:12:53.499 Gabriel Lam: can we write this case study? Or, hey, like, this, you know, this client wants this sort of…
171 00:12:55.370 ⇒ 00:13:12.589 Gabriel Lam: white paper out, and so she has just this giant backlog of different case studies, and she’s like, well, which one should I prioritize? Is there a way for, Lanier to tell her when projects are done, so she doesn’t need to wait for Utah or Robert, or…
172 00:13:12.730 ⇒ 00:13:17.340 Gabriel Lam: Which case study do I send to which lead?
173 00:13:18.690 ⇒ 00:13:19.520 Gabriel Lam: So…
174 00:13:20.260 ⇒ 00:13:27.400 Gabriel Lam: there’s… there’s two steps. I think there’s the part where she figures out what exactly needs to happen next, or what…
175 00:13:28.910 ⇒ 00:13:38.030 Gabriel Lam: types of case studies need to be done, and then the second half is, like, who it gets sent to. Which might be more of a database
176 00:13:38.650 ⇒ 00:13:42.800 Gabriel Lam: Like, oh, these leads have these qualities and might be appropriate.
177 00:13:43.260 ⇒ 00:13:44.520 Samuel Roberts: Right.
178 00:13:44.560 ⇒ 00:13:49.590 Gabriel Lam: There’s also the interview, which is sort of step one.
179 00:13:49.790 ⇒ 00:13:54.539 Gabriel Lam: Interviews typically follow a list of set questions, and she was just saying.
180 00:13:55.060 ⇒ 00:14:05.150 Gabriel Lam: It’s, like, half an hour every interview, not always the most productive use of time, and…
181 00:14:06.500 ⇒ 00:14:09.160 Gabriel Lam: Yeah, it’s just like, is there a way for people to either…
182 00:14:09.380 ⇒ 00:14:12.640 Gabriel Lam: Know this beforehand, or prepare something beforehand, or…
183 00:14:12.770 ⇒ 00:14:15.810 Gabriel Lam: Something to speed it up, I don’t know. But I think we can…
184 00:14:15.940 ⇒ 00:14:19.100 Gabriel Lam: I can follow up and get more information from her.
185 00:14:19.640 ⇒ 00:14:20.590 Samuel Roberts: Yeah.
186 00:14:21.720 ⇒ 00:14:22.730 Samuel Roberts: Interesting.
187 00:14:22.730 ⇒ 00:14:23.560 Uttam Kumaran: Hey, guys.
188 00:14:23.770 ⇒ 00:14:24.640 Gabriel Lam: Hello.
189 00:14:24.850 ⇒ 00:14:25.860 Samuel Roberts: Oh my god.
190 00:14:28.430 ⇒ 00:14:31.550 Uttam Kumaran: Okay, sorry, a little bit of a rush this morning, couple things.
191 00:14:31.960 ⇒ 00:14:38.739 Uttam Kumaran: breaking, but I have… Prd for us to review, so let me just get this pushed.
192 00:14:39.010 ⇒ 00:14:50.819 Uttam Kumaran: And then, I think, Gabe, I know you probably have the process in mind from Hannah’s perspective. Right. Now, I think,
193 00:14:51.000 ⇒ 00:14:55.979 Uttam Kumaran: maybe let me just get this into a PR, and then we can all maybe spend a few minutes.
194 00:14:56.120 ⇒ 00:14:56.540 Gabriel Lam: Great.
195 00:14:56.540 ⇒ 00:15:01.139 Uttam Kumaran: Reading, and then, yeah, just like we can discuss, so let me push this.
196 00:15:20.270 ⇒ 00:15:23.010 Samuel Roberts: Yeah, we also just merged in the, stand-up stuff.
197 00:15:23.570 ⇒ 00:15:24.480 Uttam Kumaran: 12, right?
198 00:15:24.480 ⇒ 00:15:27.060 Samuel Roberts: This’ll be building now anyway, but then it’ll be good.
199 00:15:35.930 ⇒ 00:15:42.320 Samuel Roberts: Now, I was actually just responding to your message in the thread there, but the review apps are because of the way Heroku does the PRs.
200 00:15:42.850 ⇒ 00:15:51.579 Samuel Roberts: So until they’re merged, yeah, that’s the only reason, it’s just keeping it separate. Okay, cool. Yeah, just as soon as we feel comfortable, we can…
201 00:15:53.420 ⇒ 00:15:55.009 Uttam Kumaran: Shortly get it out, you know?
202 00:15:55.010 ⇒ 00:16:08.559 Samuel Roberts: Yeah, yeah, and it’s not as big a deal, because, like, the… it’s not like we have a separate dev database or production database, so it’s actually less of a… I definitely default to, like, oh, wait till the PR’s ready and then merge it, but we can probably just do multiple smaller PRs, even, over time.
203 00:16:08.810 ⇒ 00:16:09.670 Uttam Kumaran: Yeah.
204 00:16:09.870 ⇒ 00:16:10.640 Samuel Roberts: Damn.
205 00:16:39.130 ⇒ 00:16:43.250 Uttam Kumaran: Okay, so, yeah, let me push this… Push…
206 00:16:56.300 ⇒ 00:16:57.330 Uttam Kumaran: Yay.
207 00:16:59.150 ⇒ 00:16:59.880 Uttam Kumaran: Alright.
208 00:16:59.990 ⇒ 00:17:01.669 Uttam Kumaran: It’s here.
209 00:17:05.089 ⇒ 00:17:07.219 Uttam Kumaran: So the other thing is, like.
210 00:17:07.569 ⇒ 00:17:15.529 Uttam Kumaran: I do feel like it’s sometimes nice for me to give some context on the technical side, but I… I want to separate
211 00:17:15.730 ⇒ 00:17:22.540 Uttam Kumaran: like, what I see as, like, potential technical solutions from both of the PRD, and then you guys…
212 00:17:22.650 ⇒ 00:17:26.499 Samuel Roberts: You can leverage the technical approach if you need it or not.
213 00:17:26.609 ⇒ 00:17:29.170 Uttam Kumaran: It’s, I guess from my perspective.
214 00:17:29.650 ⇒ 00:17:35.520 Uttam Kumaran: I’m battling, like, I don’t want to over-prescribe, but I also, like, Don’t want to under, like.
215 00:17:35.520 ⇒ 00:17:35.890 Samuel Roberts: Yeah.
216 00:17:35.890 ⇒ 00:17:46.860 Uttam Kumaran: get out everything that’s in my thoughts, so I… I think what we’ll probably end up doing is, like, have a PRD, and then also have an associated, like, technical design doc.
217 00:17:46.880 ⇒ 00:17:57.700 Uttam Kumaran: And what I did in this… in this PR is, just separate those out a little bit, but maybe we can just start by taking a look at
218 00:17:57.810 ⇒ 00:18:05.709 Uttam Kumaran: the, What’s it called? The… Case… case study assistant.
219 00:18:05.870 ⇒ 00:18:10.059 Uttam Kumaran: PRD, if you guys just want to read through that, maybe we can take a few minutes to do that.
220 00:18:10.060 ⇒ 00:18:10.750 Samuel Roberts: Sure.
221 00:19:45.190 ⇒ 00:19:45.940 Samuel Roberts: Yeah.
222 00:22:42.750 ⇒ 00:22:44.970 Uttam Kumaran: Okay, what do you guys, what do you guys think?
223 00:22:53.420 ⇒ 00:22:57.330 Samuel Roberts: Yeah, I mean, I think this makes sense. I mean, it’s kind of what I was…
224 00:22:57.580 ⇒ 00:23:04.349 Samuel Roberts: picturing this being, based on my understanding of how case studies worked anyway, so I think I can kind of see where all this came from.
225 00:23:05.470 ⇒ 00:23:06.600 Samuel Roberts: So…
226 00:23:08.770 ⇒ 00:23:13.450 Samuel Roberts: Yeah, I mean, I don’t want to say too much until I hear from, like, Mustafa’s thoughts as well, I want to hear.
227 00:23:13.620 ⇒ 00:23:15.830 Samuel Roberts: Before I start saying too much.
228 00:23:15.830 ⇒ 00:23:22.230 Uttam Kumaran: Yeah, let’s start… maybe we can focus on one… sections 1, 2, and 3, and just, like, everybody…
229 00:23:23.270 ⇒ 00:23:28.479 Uttam Kumaran: like, pretty clear on that. Does everybody know what our case studies kind of currently look like?
230 00:23:29.000 ⇒ 00:23:31.620 Uttam Kumaran: Yeah.
231 00:23:34.170 ⇒ 00:23:39.090 Samuel Roberts: I think so, yeah, I mean, I’ve done an interview, I know Mustafa, you’ve done interviews for this, right?
232 00:23:39.240 ⇒ 00:23:40.150 Mustafa Raja: Yes.
233 00:23:42.240 ⇒ 00:23:42.660 Samuel Roberts: Cool.
234 00:23:43.040 ⇒ 00:23:47.699 Mustafa Raja: And I also did talk about this, With Hannah.
235 00:23:55.840 ⇒ 00:24:07.840 Mustafa Raja: I guess, what Gabe pointed out earlier, is, important to know also, that when a project ends, the… if there is some sort of notification.
236 00:24:08.340 ⇒ 00:24:11.720 Mustafa Raja: For Hannah to identify, okay, this is…
237 00:24:11.850 ⇒ 00:24:18.110 Mustafa Raja: This is done, so there needs to be, a case study for this. He said it would help.
238 00:24:22.030 ⇒ 00:24:22.700 Gabriel Lam: Down.
239 00:24:25.030 ⇒ 00:24:26.099 Samuel Roberts: Yeah, I mean, I think…
240 00:24:27.080 ⇒ 00:24:31.699 Samuel Roberts: this seems to… this PRD seems to focus a little more on the, like, process, and then the…
241 00:24:32.170 ⇒ 00:24:36.269 Samuel Roberts: Like, way that that happens is from the delivery meeting and enabling people to just, like.
242 00:24:37.670 ⇒ 00:24:39.860 Samuel Roberts: Enter something to start that, right?
243 00:24:41.160 ⇒ 00:24:47.630 Uttam Kumaran: Yeah, like, and so in the delivery… in the delivery meeting, I am going to…
244 00:24:47.850 ⇒ 00:24:53.139 Uttam Kumaran: Every week, just try to be like, what wins can we…
245 00:24:53.500 ⇒ 00:24:57.589 Uttam Kumaran: You know, get out, from that week.
246 00:24:57.730 ⇒ 00:25:04.349 Uttam Kumaran: And so… that’s, like… something that I’m gonna start doing. However, there’s easily…
247 00:25:04.490 ⇒ 00:25:11.039 Uttam Kumaran: Probably 50 to 100 pieces of successes that are in things we’ve done in the past.
248 00:25:11.270 ⇒ 00:25:15.410 Uttam Kumaran: That just because of how… Manual as processes.
249 00:25:16.220 ⇒ 00:25:17.090 Uttam Kumaran: like…
250 00:25:17.570 ⇒ 00:25:35.770 Uttam Kumaran: we’re… we’re never gonna get… we’re never gonna get that, right? Right. And to give you a sense, like, the reason why sales is… is starting to get smoother is because for every single client that comes in, we typically have one to three pieces of supporting resources that I can send to them about ways that we’ve done this before.
251 00:25:35.770 ⇒ 00:25:40.549 Uttam Kumaran: And what’s the best way, when you hire someone, you’re like, have you done this before?
252 00:25:40.550 ⇒ 00:25:41.420 Samuel Roberts: Right.
253 00:25:41.420 ⇒ 00:25:53.730 Uttam Kumaran: And so, that’s sort of where we’re at. And so, one is, like, I want to accelerate, not only because we’re getting wins every week, but we have a backlog of these. Second is, like, this is something that’s super contingent on the Hannah.
254 00:25:53.930 ⇒ 00:25:55.240 Uttam Kumaran: singularly.
255 00:25:55.520 ⇒ 00:26:03.920 Uttam Kumaran: And it’s just not… it’s just something where, given, I think, what we have with the various APIs at our disposal.
256 00:26:04.500 ⇒ 00:26:10.119 Uttam Kumaran: I don’t see why we can’t move this interview process and may actually have it be better
257 00:26:10.500 ⇒ 00:26:12.869 Uttam Kumaran: You know, via something in the platform.
258 00:26:14.210 ⇒ 00:26:17.850 Samuel Roberts: Yeah, I think that makes sense. I think… Yeah, I understand, like.
259 00:26:18.130 ⇒ 00:26:26.859 Samuel Roberts: Hannah was saying something like, you know, being notified when something completes, but I think still making that, like, we can do that at the delivery meeting, we can trigger these things off.
260 00:26:27.420 ⇒ 00:26:29.170 Samuel Roberts: We can build that’s even a…
261 00:26:29.170 ⇒ 00:26:30.750 Uttam Kumaran: Those are things that are, like.
262 00:26:31.100 ⇒ 00:26:35.210 Uttam Kumaran: you could just create a ticket in linear. Like, I would say focus less on the…
263 00:26:35.210 ⇒ 00:26:36.060 Samuel Roberts: Exactly.
264 00:26:36.310 ⇒ 00:26:41.529 Uttam Kumaran: Getting it to her, because actually, our output is gonna be way better.
265 00:26:41.630 ⇒ 00:26:47.290 Uttam Kumaran: Than the existing output, because she’s taking an interview and running it through a prompt.
266 00:26:47.640 ⇒ 00:26:49.829 Samuel Roberts: Right, right. That’s it. So…
267 00:26:50.410 ⇒ 00:26:59.949 Uttam Kumaran: I would say, like, I… yeah, I’m curious of what she demonstrated as the pain points, but I wouldn’t say that the pain point is that she’s not getting alerted
268 00:27:00.300 ⇒ 00:27:05.979 Uttam Kumaran: Or the pain point is, like, I think the quality of the copy is not good enough.
269 00:27:06.330 ⇒ 00:27:10.079 Uttam Kumaran: And the pace at which we can get these out is not high enough.
270 00:27:10.210 ⇒ 00:27:11.080 Uttam Kumaran: Saw her fall.
271 00:27:11.080 ⇒ 00:27:21.259 Samuel Roberts: Yes. No, no, I think, I mean, she’s the single point of failure for, like, doing this whole process right now, conducting the interviews, and I think if we can at least streamline that, that’s a huge…
272 00:27:21.790 ⇒ 00:27:25.219 Samuel Roberts: Because even if we could conduct the interviews and nothing else.
273 00:27:25.640 ⇒ 00:27:44.079 Samuel Roberts: she could still take all those and process them the same way. Like, we could obviously continue to do that, but I think that’s the biggest thing, is, like, she has to sit down, take synchronous time, like it says, with one of us, go through the process, and it’s… it’s… that’s a bottleneck. And I think if we can eliminate that and make that
274 00:27:45.590 ⇒ 00:27:54.359 Samuel Roberts: more automated, more repeatable, more, you know, less focused on one person has to do it all the time. I think that’s the biggest lift immediately.
275 00:27:54.610 ⇒ 00:28:00.810 Samuel Roberts: And then obviously, like, we can continue to automate things beyond that that she’s already doing with AI as well.
276 00:28:01.590 ⇒ 00:28:09.029 Samuel Roberts: But yeah, I think, I think you’re absolutely right there. I don’t think the, like, triggering is necessarily what needs to happen here, but the actual process
277 00:28:10.100 ⇒ 00:28:14.570 Samuel Roberts: is… Tedious for one person to have to be the one to do it right now.
278 00:28:15.000 ⇒ 00:28:15.770 Uttam Kumaran: Yeah.
279 00:28:15.770 ⇒ 00:28:28.929 Gabriel Lam: Yeah, she did mention that the biggest time sink is the interviewing, and not only scheduling time with peop- sorry, scheduling time with people, but also making sure that whatever she’s asking is relevant. Like, the standard questions are great.
280 00:28:29.180 ⇒ 00:28:32.389 Gabriel Lam: And there’s some that she always has, like, tries to hit.
281 00:28:32.920 ⇒ 00:28:35.840 Gabriel Lam: Oftentimes, it’s like, how do you get to those questions quickly, or…
282 00:28:36.030 ⇒ 00:28:38.269 Gabriel Lam: follow-up questions after that, so I think…
283 00:28:38.410 ⇒ 00:28:43.330 Gabriel Lam: at least to her, that really is the biggest pain point. I think if we’re able to get the copy out.
284 00:28:44.200 ⇒ 00:28:51.440 Gabriel Lam: well, and maybe even better than what she has it, that’s great. I think there’s a second part to the…
285 00:28:51.800 ⇒ 00:29:02.269 Gabriel Lam: to the problem, which is the structure of each case study. Right now, they look like they’re all sort of consistent. They have their, you know, context problem results.
286 00:29:02.270 ⇒ 00:29:02.680 Samuel Roberts: Right.
287 00:29:02.680 ⇒ 00:29:06.639 Gabriel Lam: flow. Is that the best way for every case study?
288 00:29:07.030 ⇒ 00:29:09.549 Gabriel Lam: I’m not sure, maybe that’s for…
289 00:29:11.000 ⇒ 00:29:14.279 Gabriel Lam: like, I’d like some opinion on that, on whether we feel like
290 00:29:14.590 ⇒ 00:29:17.310 Gabriel Lam: You know, the existing layout is…
291 00:29:17.450 ⇒ 00:29:22.120 Gabriel Lam: working for everything. And then the last thing is…
292 00:29:22.690 ⇒ 00:29:32.069 Gabriel Lam: There’s a lot of case studies, and when we want to update leads, or existing clients with, like, hey, we’ve got this case study out, we think this might be helpful for you.
293 00:29:32.370 ⇒ 00:29:32.990 Samuel Roberts: Mmm.
294 00:29:32.990 ⇒ 00:29:38.590 Gabriel Lam: what do we send out, and who do we send things out to? And she had mentioned there were a few moments in which
295 00:29:39.100 ⇒ 00:29:40.670 Gabriel Lam: There could have been better…
296 00:29:41.170 ⇒ 00:29:50.689 Gabriel Lam: Direction on what case studies could be sent to which leads, but the categorization of case studies right now is not maybe specific enough.
297 00:29:51.570 ⇒ 00:29:57.220 Gabriel Lam: So maybe it’s, like, SAS and CPG, or… I don’t know.
298 00:29:57.220 ⇒ 00:29:57.820 Samuel Roberts: Yeah.
299 00:30:00.380 ⇒ 00:30:04.999 Gabriel Lam: But aside from that, I think I’m with Sam on… I think the interviewing part is the…
300 00:30:05.430 ⇒ 00:30:07.560 Gabriel Lam: Like, crux, for now.
301 00:30:07.810 ⇒ 00:30:09.140 Gabriel Lam: At least in the beginning.
302 00:30:09.410 ⇒ 00:30:11.439 Samuel Roberts: Yeah, I think also if we can…
303 00:30:11.680 ⇒ 00:30:13.990 Samuel Roberts: Make this process a little more…
304 00:30:14.420 ⇒ 00:30:19.459 Samuel Roberts: Like, not standardized, but make the process less on her plate to do that, then, like.
305 00:30:19.600 ⇒ 00:30:25.480 Samuel Roberts: new, different forms of case studies, or something that she could spend time doing, and we could implement into the.
306 00:30:25.480 ⇒ 00:30:26.669 Uttam Kumaran: Yeah, I mean, look, like, there’s.
307 00:30:26.670 ⇒ 00:30:28.280 Samuel Roberts: I think that makes total sense.
308 00:30:28.280 ⇒ 00:30:29.440 Uttam Kumaran: There’s also, like.
309 00:30:29.740 ⇒ 00:30:34.909 Uttam Kumaran: getting, like, this is just something that also Anne can work on. Like, we have two designers, and Anne is.
310 00:30:34.910 ⇒ 00:30:35.600 Samuel Roberts: Yeah.
311 00:30:35.600 ⇒ 00:30:37.759 Uttam Kumaran: So I’d like for this to mostly get.
312 00:30:37.760 ⇒ 00:30:41.770 Samuel Roberts: sent to Ann, and then Hannah can instead move into my slot, which is…
313 00:30:41.820 ⇒ 00:30:42.940 Uttam Kumaran: reviewing.
314 00:30:43.580 ⇒ 00:30:44.109 Samuel Roberts: Right, right.
315 00:30:44.110 ⇒ 00:30:58.120 Uttam Kumaran: You know, and so that’s one thing. Second piece is, yes, you know, and this is where, like, I’ll kind of let you, Gabe, think about, is, like, how much of this PR do we also want to include the case study or marketing asset discoverability piece?
316 00:30:59.630 ⇒ 00:31:06.220 Uttam Kumaran: I mean, I would like us to think about that as well, which is… Anytime a client comes in.
317 00:31:06.500 ⇒ 00:31:16.560 Uttam Kumaran: So there’s kind of two situations. Anytime we’re going after a client, or anytime we get a lead that comes in, what are the most relevant materials?
318 00:31:16.680 ⇒ 00:31:23.540 Uttam Kumaran: Right? And I think there is, like, our current way of solving it, which is I…
319 00:31:23.710 ⇒ 00:31:25.380 Uttam Kumaran: know what the company is, and I.
320 00:31:25.380 ⇒ 00:31:26.070 Samuel Roberts: search.
321 00:31:26.310 ⇒ 00:31:38.509 Uttam Kumaran: There’s also probably a way where you just put the URL of the company, and then a bunch of examples of materials we have, and it explains… there’s, like, a relevancy score or something, and it’s like, here’s why it’s relevant.
322 00:31:38.660 ⇒ 00:31:50.560 Uttam Kumaran: Right? What does that allow for? That allows for anybody in the company, and which there are many people now who are writing emails and servicing leads, to find the most appropriate
323 00:31:50.980 ⇒ 00:31:53.330 Uttam Kumaran: Case studies. Additionally.
324 00:31:53.450 ⇒ 00:32:03.839 Uttam Kumaran: You know, future PRDs will be around sales assistance, preparing for meetings, and preparing follow-up emails. That endpoint, or whatever.
325 00:32:04.250 ⇒ 00:32:06.699 Uttam Kumaran: will get used there as well, so…
326 00:32:07.380 ⇒ 00:32:15.120 Uttam Kumaran: there, you know, I would say you can consider that if there is time, but I would say that, of course, the biggest thing is
327 00:32:15.880 ⇒ 00:32:19.599 Uttam Kumaran: work your way backwards from… from Friday.
328 00:32:20.340 ⇒ 00:32:25.740 Uttam Kumaran: So, yeah, I mean, in terms of the issues, yeah, like, look, there’s these single-shot interviews.
329 00:32:25.900 ⇒ 00:32:28.650 Uttam Kumaran: There are these unstructured.
330 00:32:29.440 ⇒ 00:32:34.269 Uttam Kumaran: butts, which I think, again, like, I think you probably have that prompt.
331 00:32:34.470 ⇒ 00:32:42.949 Uttam Kumaran: or whatever the prompt is that Hannah is using. So that’s sort of, like, pretty much what she’s doing.
332 00:32:43.090 ⇒ 00:32:52.970 Uttam Kumaran: The other thing is, like, because it’s all going through one person, Hannah has to conduct the interview, do the copy, and think about what the diagrams are. None of those should go on the designer.
333 00:32:53.890 ⇒ 00:32:54.450 Samuel Roberts: Yeah.
334 00:32:54.450 ⇒ 00:32:56.970 Uttam Kumaran: Like, the designer should get, like…
335 00:32:57.270 ⇒ 00:33:07.590 Uttam Kumaran: I want to give design as much as possible, and then designer’s job is mostly to cut, and so she can form
336 00:33:07.780 ⇒ 00:33:16.760 Uttam Kumaran: and given all these options, versus now, I think it’s so… there’s just no creativity. And so, that’s… that’s one thing.
337 00:33:16.940 ⇒ 00:33:23.719 Uttam Kumaran: Yeah, I’m for, I guess, like, yeah, I don’t know, that’s sort of probably more of a,
338 00:33:25.950 ⇒ 00:33:30.020 Uttam Kumaran: I guess, like, I don’t… it’s, like, a more of a lower hanging priority.
339 00:33:30.230 ⇒ 00:33:33.029 Uttam Kumaran: Same with the,
340 00:33:33.680 ⇒ 00:33:46.190 Uttam Kumaran: So, number 5 is also interesting. 5 is more about, hey, like, we had past client work, how do we flag that a potential case study could be written there? Again.
341 00:33:46.370 ⇒ 00:33:48.549 Uttam Kumaran: less of a priority, so let me… I’ll just.
342 00:33:48.550 ⇒ 00:33:49.020 Samuel Roberts: Yeah.
343 00:33:49.020 ⇒ 00:33:50.549 Uttam Kumaran: So, like, mark that.
344 00:33:50.790 ⇒ 00:33:55.610 Uttam Kumaran: And then…
345 00:33:55.860 ⇒ 00:34:01.600 Uttam Kumaran: Traceability, hard to tie interviews, assets, approvals back to client pro… I don’t even really care, that’s all.
346 00:34:01.750 ⇒ 00:34:02.510 Samuel Roberts: Okay.
347 00:34:02.560 ⇒ 00:34:05.169 Uttam Kumaran: No, I think that makes sense, the order.
348 00:34:05.170 ⇒ 00:34:05.840 Gabriel Lam: Yep.
349 00:34:05.840 ⇒ 00:34:11.410 Uttam Kumaran: Yeah, on Discovery, case studies initiated will be on Monday, Hannah conduct Views, design, drafts.
350 00:34:12.889 ⇒ 00:34:20.999 Uttam Kumaran: And then, yeah, iterations are basically, at this point, all in Slack, between… Yeah, like, between…
351 00:34:21.670 ⇒ 00:34:26.140 Uttam Kumaran: me, Hannah, and, like, Ange, and then…
352 00:34:27.080 ⇒ 00:34:31.580 Uttam Kumaran: Yeah, basically, like, they get added… file artifacts.
353 00:34:32.280 ⇒ 00:34:36.910 Uttam Kumaran: get added to the marketing assets page.
354 00:34:37.340 ⇒ 00:34:41.460 Uttam Kumaran: Export from Figma.
355 00:34:43.920 ⇒ 00:34:53.880 Uttam Kumaran: Yep, Hannah Interviewer… Design… Okay, cool, and then on the goals…
356 00:34:59.860 ⇒ 00:35:07.279 Uttam Kumaran: like, again, I would like this… like, I think for us to get through our backlog in the net between… before now and the end of the year, we have to start doing 8 to 10 per week.
357 00:35:07.740 ⇒ 00:35:15.749 Samuel Roberts: And then this can probably go down, but I don’t know, like, at any moment, we’re working on 10, 12 clients, like, we have wins coming out every month, you know?
358 00:35:20.380 ⇒ 00:35:21.239 Samuel Roberts: Let’s do that.
359 00:35:23.260 ⇒ 00:35:33.880 Samuel Roberts: And yeah, I see exactly, like, I think there’s definitely, like, something about identifying here, but you’re absolutely right, there’s plenty to do, and if we can get that process going, that’s the bigger win here, I think.
360 00:35:34.040 ⇒ 00:35:39.930 Samuel Roberts: Because, yeah, you’re right, there’s a huge backlog. So yeah, I think this all makes sense, like…
361 00:35:40.820 ⇒ 00:35:42.780 Samuel Roberts: I see where to run with this.
362 00:35:42.780 ⇒ 00:35:43.420 Uttam Kumaran: Okay.
363 00:35:44.210 ⇒ 00:35:44.870 Uttam Kumaran: So…
364 00:35:44.870 ⇒ 00:35:55.460 Samuel Roberts: I mean, like I said, even if, like, V0 is just, like, an interviewing thing that does this, like, all the case study object, putting all that stuff together, that’ll make sense, just keeping it all.
365 00:35:55.460 ⇒ 00:35:56.020 Gabriel Lam: Yeah.
366 00:35:56.300 ⇒ 00:36:02.020 Samuel Roberts: But I think the biggest… the biggest thing here that is probably the… The biggest,
367 00:36:02.640 ⇒ 00:36:07.890 Samuel Roberts: leverage thing, and probably even the most technically, interesting one, and, and
368 00:36:09.330 ⇒ 00:36:13.029 Samuel Roberts: biggest piece to build is probably that interview thing, which I think would…
369 00:36:13.030 ⇒ 00:36:20.000 Uttam Kumaran: I agree, yeah. Yeah. And, but I… but I think you have all the… well, I think there’s two, like, yeah, I mean, I feel like…
370 00:36:21.050 ⇒ 00:36:26.999 Uttam Kumaran: I want to offer both, but actually, I’m actually almost, in this situation, want to force
371 00:36:27.320 ⇒ 00:36:30.129 Uttam Kumaran: The delivery person to use their voice.
372 00:36:30.860 ⇒ 00:36:31.190 Samuel Roberts: Yes.
373 00:36:31.190 ⇒ 00:36:34.280 Uttam Kumaran: I think writing is extremely hard, and…
374 00:36:34.280 ⇒ 00:36:35.179 Samuel Roberts: No, I agree.
375 00:36:36.370 ⇒ 00:36:46.010 Uttam Kumaran: at this point, like, I use Whisper all day, and it’s so much better that I am… I’m no longer kind of, like, debating whether using your voice is more efficient.
376 00:36:46.040 ⇒ 00:36:48.349 Samuel Roberts: It’s like, we should almost just force.
377 00:36:48.490 ⇒ 00:37:04.649 Uttam Kumaran: when there’s long-form things like this, we should just force people to use their voice, because it’s going to be way faster. So I’d like us to consider using OpenAI Whisper or whatever to facilitate the input. Similarly, like, I think you can facilitate the output.
378 00:37:05.240 ⇒ 00:37:09.969 Uttam Kumaran: via the real-time voice endpoint. And so, yeah…
379 00:37:09.970 ⇒ 00:37:10.520 Samuel Roberts: Yeah.
380 00:37:10.520 ⇒ 00:37:13.209 Uttam Kumaran: Frankly, like, this itself is a case study.
381 00:37:13.440 ⇒ 00:37:14.110 Uttam Kumaran: So…
382 00:37:14.110 ⇒ 00:37:14.490 Samuel Roberts: true.
383 00:37:14.490 ⇒ 00:37:19.810 Uttam Kumaran: We’re able to get this input-output working via voice, output and voice input.
384 00:37:19.990 ⇒ 00:37:23.599 Uttam Kumaran: work it up. Well, you guys will be the first to reuse the ca- like.
385 00:37:24.070 ⇒ 00:37:24.590 Samuel Roberts: Yeah, yeah.
386 00:37:24.590 ⇒ 00:37:34.470 Uttam Kumaran: Great output of this, guys, is, like, by Friday, y’all use the case study assistant to write the case study about this project.
387 00:37:34.470 ⇒ 00:37:37.179 Gabriel Lam: I love it, I love it. That’s better.
388 00:37:37.180 ⇒ 00:37:39.329 Uttam Kumaran: That, that way, no…
389 00:37:39.810 ⇒ 00:37:50.869 Uttam Kumaran: like, yeah, there’s no, yeah, you could… you’ll be able to test it at the end, and you guys are on the delivery team, and yeah, I feel like that would be a great outcome here.
390 00:37:51.240 ⇒ 00:37:56.490 Uttam Kumaran: Yeah, no, that’s… that would honestly be even a great demo for Friday.
391 00:37:56.660 ⇒ 00:38:03.030 Uttam Kumaran: To share with the rest of the team, sort of, what the previous process was, and then what the current process was.
392 00:38:03.330 ⇒ 00:38:03.900 Samuel Roberts: Yeah.
393 00:38:04.400 ⇒ 00:38:07.520 Uttam Kumaran: Additionally, I think,
394 00:38:07.820 ⇒ 00:38:14.800 Uttam Kumaran: gave one other opportunity for a case study here is for you to even do a case study on how we do weekly sprints.
395 00:38:15.220 ⇒ 00:38:21.799 Uttam Kumaran: And, like, how Brainforge ships significant features in less than a week.
396 00:38:21.800 ⇒ 00:38:22.800 Gabriel Lam: So…
397 00:38:22.800 ⇒ 00:38:27.340 Uttam Kumaran: I think that is a good example of a less engineering-heavy case study.
398 00:38:27.920 ⇒ 00:38:33.960 Uttam Kumaran: Of which we have many, and so maybe by Friday, if… if you guys can use
399 00:38:34.590 ⇒ 00:38:37.799 Uttam Kumaran: I mean, I’m just getting greedy here to try to get two more cakes.
400 00:38:39.430 ⇒ 00:38:47.420 Uttam Kumaran: I would say, like, it allows two distinct users more of a product owner type person and an engineer to test.
401 00:38:47.890 ⇒ 00:38:52.469 Uttam Kumaran: And, yeah, I mean, I think those would be amazing.
402 00:38:52.580 ⇒ 00:38:59.749 Uttam Kumaran: And to tell you guys, I have immediate clients and sales prospects right now that I can send those to.
403 00:39:00.680 ⇒ 00:39:01.150 Gabriel Lam: Awesome.
404 00:39:01.150 ⇒ 00:39:07.080 Uttam Kumaran: Yeah, so, so… Yeah, that’s, that’s sort of, it from my side.
405 00:39:09.530 ⇒ 00:39:10.320 Gabriel Lam: Yeah, that sounds great.
406 00:39:10.320 ⇒ 00:39:21.589 Samuel Roberts: I mean, this sounds… I was already trying to think about, like, the interview… in my head, I was just, like, brainstorming, like, obviously using voice to, like, to do the interview, but I think the real-time back and forth is even better.
407 00:39:21.790 ⇒ 00:39:25.440 Samuel Roberts: You know, rather than just, like, prompts and someone answering.
408 00:39:25.690 ⇒ 00:39:28.300 Samuel Roberts: Which is, like, you know, lowest bar.
409 00:39:28.640 ⇒ 00:39:31.079 Samuel Roberts: This is… the real-time voicing will be interesting.
410 00:39:32.020 ⇒ 00:39:32.990 Samuel Roberts: I like it.
411 00:39:33.810 ⇒ 00:39:38.219 Samuel Roberts: And yeah, if we can get… if we can get real case studies up by the end of the week, that would be incredible.
412 00:39:39.130 ⇒ 00:39:40.560 Samuel Roberts: Real proof of concept.
413 00:39:41.880 ⇒ 00:39:47.879 Uttam Kumaran: Okay, cool. Alright, I’ll leave you guys with that. I’m just gonna run to do some prep for the next meeting.
414 00:39:48.330 ⇒ 00:39:56.500 Uttam Kumaran: Yeah, I guess no… No pressure to join the next one, actually. I feel like…
415 00:39:57.930 ⇒ 00:40:02.039 Uttam Kumaran: Yeah, I’ll let you guys take time, or if you guys want to meet to continue on this, yeah, don’t worry.
416 00:40:02.040 ⇒ 00:40:03.989 Samuel Roberts: Yeah, I might say let’s… let’s…
417 00:40:03.990 ⇒ 00:40:04.799 Gabriel Lam: on this, and…
418 00:40:05.170 ⇒ 00:40:08.569 Samuel Roberts: Well, this one becomes the other one, so we probably want to just hop onto another one.
419 00:40:08.570 ⇒ 00:40:12.389 Uttam Kumaran: Yeah, and Sam, I’ll follow up with you on anything for Honey Stinger.
420 00:40:12.780 ⇒ 00:40:13.580 Samuel Roberts: Okay.
421 00:40:13.780 ⇒ 00:40:19.820 Uttam Kumaran: And then, same thing with Mustapa, I think the insomnia thing is the biggest priority.
422 00:40:20.100 ⇒ 00:40:23.270 Mustafa Raja: Yeah, I’ll… I’ll get to… get to that after.
423 00:40:23.500 ⇒ 00:40:24.979 Mustafa Raja: After we’re done with this.
424 00:40:24.980 ⇒ 00:40:25.400 Uttam Kumaran: Okay.
425 00:40:25.400 ⇒ 00:40:28.750 Samuel Roberts: Do you want to… should we do that first, then? Is that the scorecard? Doesn’t that have to be done.
426 00:40:28.750 ⇒ 00:40:30.580 Mustafa Raja: Yeah, yeah. And then that is the school bond.
427 00:40:30.580 ⇒ 00:40:36.700 Samuel Roberts: Okay, Mustava, do the scorecard, and then let us know, and we’ll hop all… we’ll all hop on another meeting. I wanna… yeah, that’s definitely better.
428 00:40:36.720 ⇒ 00:40:39.679 Uttam Kumaran: Okay, sounds good. Okay, talk to you soon.
429 00:40:39.880 ⇒ 00:40:41.189 Samuel Roberts: Alrighty. Thank you, bye.