Meeting Title: Sam <> Casie - Platform Doc Date: 2025-08-04 Meeting participants: Casie Aviles, Sam Roberts
WEBVTT
1 00:00:06.210 ⇒ 00:00:07.080 Casie Aviles: Hey! Sam.
2 00:00:13.075 ⇒ 00:00:15.349 Sam Roberts: Forgot I was muted. How are you?
3 00:00:16.230 ⇒ 00:00:17.519 Casie Aviles: Hey? Yeah. Doing. Good.
4 00:00:18.410 ⇒ 00:00:19.370 Sam Roberts: Good, good.
5 00:00:19.680 ⇒ 00:00:20.879 Sam Roberts: They don’t. Okay.
6 00:00:22.020 ⇒ 00:00:23.160 Casie Aviles: Yeah.
7 00:00:25.340 ⇒ 00:00:29.260 Sam Roberts: I know it’s see?
8 00:00:29.630 ⇒ 00:00:36.770 Sam Roberts: Sorry I was in the middle of playing with the co-pilot kit, so I’m kinda my whole setup is
9 00:00:37.010 ⇒ 00:00:40.310 Sam Roberts: the wrong way. Let me get up my notes.
10 00:00:42.670 ⇒ 00:00:50.089 Sam Roberts: Okay, so for the platform. Obviously we spoke a little bit this morning.
11 00:00:51.190 ⇒ 00:01:03.641 Sam Roberts: About maybe combining things for the repos, possibly in next app. Instead, get everything a little easier to deploy. I’m probably looking for
12 00:01:04.640 ⇒ 00:01:08.560 Sam Roberts: basically as much we’ve
13 00:01:09.280 ⇒ 00:01:15.180 Sam Roberts: background that you have or like what is hooked into this stuff like, because I was looking at it
14 00:01:15.470 ⇒ 00:01:19.740 Sam Roberts: specifically for the the co-pilot kit chat app
15 00:01:20.135 ⇒ 00:01:27.829 Sam Roberts: which links to any, and it looks like I don’t have any. I I got an invite to any end, but I don’t see anything there. See anything there.
16 00:01:28.200 ⇒ 00:01:29.380 Casie Aviles: Oh, okay! Oh.
17 00:01:29.380 ⇒ 00:01:34.010 Sam Roberts: So I think I think I’m just not. I’m thinking I’m just not, you know, the right thing to share. But if you, if you want to like.
18 00:01:35.396 ⇒ 00:01:43.729 Sam Roberts: Walk me through some of the stuff about how like the Zoom transcripts work, or whatever you have most you know
19 00:01:44.010 ⇒ 00:01:49.472 Sam Roberts: most knowledge about, I guess at this point, where wherever you want to start. Actually, I’ll just, you know.
20 00:01:49.870 ⇒ 00:01:51.592 Sam Roberts: listen, I guess at this point
21 00:01:51.880 ⇒ 00:01:52.270 Casie Aviles: Okay.
22 00:01:52.270 ⇒ 00:01:54.540 Sam Roberts: What like. I don’t know what you’ve what you’ve
23 00:01:54.740 ⇒ 00:02:00.720 Sam Roberts: owned the most where your knowledge lies right now. But that would be the most helpful thing, I think, for me to start.
24 00:02:01.600 ⇒ 00:02:08.780 Casie Aviles: Okay. Okay, sure. Alright. Let me just share and hide this.
25 00:02:08.789 ⇒ 00:02:14.720 Sam Roberts: Okay, so this is when you know, okay, so.
26 00:02:15.000 ⇒ 00:02:19.869 Casie Aviles: Here this is Spend mill. And this is where we have like. This is where we
27 00:02:20.050 ⇒ 00:02:29.630 Casie Aviles: basically get the Zoom recording files. And via Api, and then we transfer it to
28 00:02:29.840 ⇒ 00:02:36.819 Casie Aviles: 2 places which is super base and s. 3. So we I have 2 main scripts for that
29 00:02:37.150 ⇒ 00:02:41.460 Casie Aviles: the 1st one here is the Zoom Events, subscription.
30 00:02:41.720 ⇒ 00:02:46.850 Casie Aviles: and this script here is it’s like listening to.
31 00:02:48.136 ⇒ 00:02:51.149 Casie Aviles: The Zoom Events and it receives the payloads.
32 00:02:51.800 ⇒ 00:02:56.380 Casie Aviles: So something like this. So whenever
33 00:02:56.530 ⇒ 00:03:02.040 Casie Aviles: a new meeting cloud recording is available should receive this payload
34 00:03:06.304 ⇒ 00:03:14.099 Casie Aviles: and if you if you can see here in the AI test channel. We we’re also getting alerts here, and that we
35 00:03:14.630 ⇒ 00:03:20.689 Casie Aviles: received Zoom Events. So the reason I created this is because
36 00:03:20.820 ⇒ 00:03:29.979 Casie Aviles: I found, like other triggers, to be quite limited, like, for example, on Zapier, it’s quite limited. And
37 00:03:30.090 ⇒ 00:03:32.740 Casie Aviles: I wasn’t able to get everything that I need.
38 00:03:33.150 ⇒ 00:03:42.290 Casie Aviles: And it was yeah tricky getting, especially in a shared like Workspace account, zoom account or org account. Yeah.
39 00:03:42.720 ⇒ 00:03:49.699 Casie Aviles: it was too tricky to get, like all the meetings from from all the members. So I decided to.
40 00:03:49.700 ⇒ 00:03:50.170 Sam Roberts: Interesting.
41 00:03:51.100 ⇒ 00:03:52.050 Sam Roberts: Okay, yeah.
42 00:03:52.700 ⇒ 00:03:58.200 Sam Roberts: So just so, I understand. So this is a a script in windmill.
43 00:03:59.270 ⇒ 00:03:59.939 Casie Aviles: This is getting tricky.
44 00:03:59.940 ⇒ 00:04:04.169 Sam Roberts: From a zoom web hook of some sort.
45 00:04:04.870 ⇒ 00:04:09.109 Casie Aviles: Yes, yes, I, I created like a zoom marketplace. App.
46 00:04:09.550 ⇒ 00:04:10.229 Casie Aviles: Got it?
47 00:04:11.330 ⇒ 00:04:12.899 Casie Aviles: Yeah, that’s what we did.
48 00:04:13.700 ⇒ 00:04:17.255 Casie Aviles: Yeah, there’s like an app we did, and that’s where we got like the
49 00:04:18.779 ⇒ 00:04:20.149 Sam Roberts: That’s what I was listening. Okay?
50 00:04:20.769 ⇒ 00:04:24.849 Sam Roberts: So that’s why. So instead of relying on their like default, whatever.
51 00:04:25.600 ⇒ 00:04:26.110 Casie Aviles: Yes.
52 00:04:26.110 ⇒ 00:04:30.190 Sam Roberts: Or Zapier, or something else. Okay, that’s what I would miss. Okay? So that so this app
53 00:04:32.790 ⇒ 00:04:37.210 Sam Roberts: triggers on every meeting on our zoom account, and.
54 00:04:39.250 ⇒ 00:04:45.100 Casie Aviles: Yeah. And then I’ve set all this needed scopes here. And all this on the token, okay? Great.
55 00:04:45.100 ⇒ 00:04:45.650 Casie Aviles: Yeah.
56 00:04:47.290 ⇒ 00:04:53.950 Casie Aviles: Yup. Okay. So the next part is I trigger another script.
57 00:04:55.561 ⇒ 00:04:57.530 Casie Aviles: I kind of tried to meet it
58 00:04:58.249 ⇒ 00:05:02.559 Casie Aviles: to make it modular, but I’m not sure if this is the best setup here, but.
59 00:05:02.560 ⇒ 00:05:03.070 Sam Roberts: Sure.
60 00:05:03.980 ⇒ 00:05:12.429 Casie Aviles: Basically this. When we receive like a cloud recording, it’s going to trigger this zoom to aws s 3 export.
61 00:05:12.430 ⇒ 00:05:12.960 Sam Roberts: Okay.
62 00:05:14.890 ⇒ 00:05:18.939 Casie Aviles: Yeah, and so it’s gonna receive these parameters here.
63 00:05:21.420 ⇒ 00:05:23.910 Casie Aviles: And then, yeah, that I, it’s
64 00:05:24.140 ⇒ 00:05:27.530 Casie Aviles: it’s like a like a library that I have that
65 00:05:28.530 ⇒ 00:05:32.560 Casie Aviles: basically connects this to super basic.
66 00:05:33.140 ⇒ 00:05:37.179 Casie Aviles: That’s where I handle the downloading here in this group
67 00:05:37.890 ⇒ 00:05:41.540 Casie Aviles: and also uploading to S 3, and then super base.
68 00:05:42.920 ⇒ 00:05:49.870 Sam Roberts: Okay, great. So so the video goes to S 3, I’m assuming. And then all of the.
69 00:05:49.870 ⇒ 00:05:50.590 Casie Aviles: Yes.
70 00:05:50.850 ⇒ 00:05:54.899 Sam Roberts: The the transcript script and the transcript goes there too.
71 00:05:56.350 ⇒ 00:05:56.940 Sam Roberts: Nice.
72 00:05:57.886 ⇒ 00:06:04.529 Casie Aviles: Like all the files, all the raw files, all raw recording files are in s. 3, but in super base. I.
73 00:06:05.290 ⇒ 00:06:10.259 Casie Aviles: Yes, and like the contents of the like. It’s a dot. Vtt, file.
74 00:06:10.410 ⇒ 00:06:11.180 Casie Aviles: Yeah. So I think.
75 00:06:11.920 ⇒ 00:06:17.050 Casie Aviles: yes, I take the contents of that. And then I start in super base plus some metadata.
76 00:06:17.710 ⇒ 00:06:18.869 Sam Roberts: Yep. Okay. Great.
77 00:06:22.940 ⇒ 00:06:26.440 Casie Aviles: Yeah. And then there’s also another
78 00:06:26.810 ⇒ 00:06:34.089 Casie Aviles: part to this. So once that’s done like, so we’re so the platform is drawing from that super base table.
79 00:06:35.090 ⇒ 00:06:37.730 Sam Roberts: Right? So yeah, when you go to super, okay, cool.
80 00:06:40.680 ⇒ 00:06:43.999 Casie Aviles: Let me just show that real quick here internal zoom.
81 00:06:44.000 ⇒ 00:06:49.329 Sam Roberts: Oh, zoom, that’s okay. That’s the other thing I I’ve been in super basics wasn’t sure what what apps were with which stuff, though.
82 00:06:52.840 ⇒ 00:06:54.259 Casie Aviles: Not sure what these mean.
83 00:06:54.940 ⇒ 00:07:00.609 Casie Aviles: It’s a little messy, but we’re using this Zoom Meeting recording files table.
84 00:07:01.500 ⇒ 00:07:06.700 Casie Aviles: This is our primary one that? Yeah, that our platforms using.
85 00:07:07.990 ⇒ 00:07:09.109 Sam Roberts: Oh, that’s good for now.
86 00:07:11.830 ⇒ 00:07:21.640 Casie Aviles: Okay, so the next piece, I guess, is, the n, 8, n, workflow, we also have
87 00:07:22.560 ⇒ 00:07:32.084 Casie Aviles: a Zoom Meeting summarizer here, and this is what’s responsible for like sending out all the
88 00:07:33.430 ⇒ 00:07:36.360 Casie Aviles: the these messages, and.
89 00:07:36.500 ⇒ 00:07:37.460 Sam Roberts: Okay.
90 00:07:37.930 ⇒ 00:07:41.169 Casie Aviles: Yeah, like, for example, here in AI team.
91 00:07:41.830 ⇒ 00:07:42.887 Sam Roberts: Yeah, I’ve seen.
92 00:07:44.740 ⇒ 00:07:46.700 Casie Aviles: Or like, I think it.
93 00:07:47.040 ⇒ 00:07:50.310 Casie Aviles: Yeah, may maybe something like this where we have like
94 00:07:51.690 ⇒ 00:07:57.830 Casie Aviles: the the meeting summary sent here. So that’s that’s like the main
95 00:07:57.970 ⇒ 00:08:00.080 Casie Aviles: job of the n, 8. N, workflow.
96 00:08:04.950 ⇒ 00:08:16.380 Casie Aviles: yeah. What else? I guess there’s also this part here where we vectorize the the transcript.
97 00:08:17.370 ⇒ 00:08:23.320 Casie Aviles: or like, we we yeah, we for for vector, like it for rag. So
98 00:08:23.560 ⇒ 00:08:26.150 Casie Aviles: this is where it happens. And.
99 00:08:26.150 ⇒ 00:08:26.780 Sam Roberts: Okay.
100 00:08:28.120 ⇒ 00:08:33.890 Casie Aviles: And this is also what we use for, for, like the client hub agents.
101 00:08:34.530 ⇒ 00:08:36.852 Sam Roberts: Okay, that was gonna be my next question was,
102 00:08:38.470 ⇒ 00:08:41.840 Sam Roberts: where in the so in the client hub, there’s the one sec.
103 00:08:43.789 ⇒ 00:08:46.430 Sam Roberts: So when you click on a meeting in the client Hub.
104 00:08:48.250 ⇒ 00:08:51.920 Sam Roberts: There’s a a little summary at the bottom
105 00:08:53.580 ⇒ 00:08:58.660 Sam Roberts: that seemed like it was different than the the the one in slack.
106 00:09:00.010 ⇒ 00:09:01.499 Casie Aviles: Oh, yeah, it’s different.
107 00:09:01.500 ⇒ 00:09:02.220 Sam Roberts: Okay.
108 00:09:02.220 ⇒ 00:09:03.549 Casie Aviles: Yeah, we are.
109 00:09:04.340 ⇒ 00:09:09.220 Sam Roberts: Okay? And so then, when I ask a question to the
110 00:09:10.750 ⇒ 00:09:17.010 Sam Roberts: the chat for a meeting that goes to an somebody to inflow, is that the.
111 00:09:17.010 ⇒ 00:09:17.700 Casie Aviles: Yeah.
112 00:09:19.410 ⇒ 00:09:21.715 Casie Aviles: So when you chat with the
113 00:09:22.710 ⇒ 00:09:26.460 Casie Aviles: for over a transcript like a meeting transcript, we have this.
114 00:09:26.460 ⇒ 00:09:27.010 Sam Roberts: Yep.
115 00:09:27.690 ⇒ 00:09:30.319 Casie Aviles: Zoom. Meeting transcript. Chat. Agent.
116 00:09:31.050 ⇒ 00:09:32.310 Sam Roberts: Okay, so.
117 00:09:33.200 ⇒ 00:09:35.609 Casie Aviles: This receives like a web hook
118 00:09:35.850 ⇒ 00:09:41.460 Casie Aviles: check yeah, payload as well whenever you chat
119 00:09:42.240 ⇒ 00:09:45.689 Casie Aviles: on the platform and it’s gonna trigger. This workflow.
120 00:09:47.670 ⇒ 00:09:48.250 Sam Roberts: Okay.
121 00:09:48.940 ⇒ 00:09:49.575 Casie Aviles: Be.
122 00:09:50.930 ⇒ 00:09:53.055 Casie Aviles: There’s a lot here. But yeah,
123 00:09:53.410 ⇒ 00:09:55.625 Sam Roberts: Yeah, okay, is there?
124 00:09:56.930 ⇒ 00:10:01.839 Sam Roberts: do, are you able to share? Cause? I I guess that when I log into any, then I see none of this right now.
125 00:10:02.030 ⇒ 00:10:03.190 Sam Roberts: I wasn’t sure if I’m not.
126 00:10:03.190 ⇒ 00:10:03.870 Casie Aviles: Meeting.
127 00:10:04.010 ⇒ 00:10:04.710 Sam Roberts: In.
128 00:10:05.160 ⇒ 00:10:10.220 Sam Roberts: I don’t have any projects, so I don’t know if it’s
129 00:10:10.430 ⇒ 00:10:16.179 Sam Roberts: a way to add me to those maybe project settings or something.
130 00:10:16.930 ⇒ 00:10:21.260 Casie Aviles: Yeah, let me see, I can add.
131 00:10:24.850 ⇒ 00:10:25.660 Sam Roberts: Okay.
132 00:10:27.020 ⇒ 00:10:30.980 Casie Aviles: You’re here, but your own personal project.
133 00:10:31.930 ⇒ 00:10:37.869 Sam Roberts: Yeah, I don’t know. I don’t see any way to I I could tell that, but I didn’t see anything else
134 00:10:38.600 ⇒ 00:10:46.099 Sam Roberts: that I’d be so I wasn’t sure if that’s something I need to. Yeah, I don’t see anything.
135 00:10:49.960 ⇒ 00:10:52.270 Casie Aviles: Okay, that I think I should be able to add you here.
136 00:10:52.300 ⇒ 00:10:55.059 Sam Roberts: Yeah. Okay, awesome. That’s that’s that’s a good idea, sweet.
137 00:10:56.180 ⇒ 00:10:56.900 Sam Roberts: Thank you.
138 00:10:57.970 ⇒ 00:10:58.470 Casie Aviles: Okay.
139 00:10:58.470 ⇒ 00:10:59.810 Sam Roberts: Refresh.
140 00:11:01.550 ⇒ 00:11:05.119 Sam Roberts: Yes, okay, cool that. That is a huge help. Now that I can actually
141 00:11:05.230 ⇒ 00:11:07.599 Sam Roberts: understand what’s going on there. Cool. Thank you so much.
142 00:11:07.600 ⇒ 00:11:08.240 Casie Aviles: Nice.
143 00:11:09.756 ⇒ 00:11:10.670 Sam Roberts: Okay? So
144 00:11:11.040 ⇒ 00:11:19.849 Sam Roberts: so we have the Zoom Meeting, transcript chat agent, the Zoom Meeting summarizer. Are there other things we’re using any then for platform wise that we’re hitting.
145 00:11:20.150 ⇒ 00:11:22.420 Sam Roberts: I mean the slack stuff, I guess as well.
146 00:11:22.900 ⇒ 00:11:28.039 Sam Roberts: Yeah, okay. So there’s a bunch of stuff in here. I imagine I’m I’m just as I’m looking around.
147 00:11:28.560 ⇒ 00:11:42.310 Casie Aviles: Yeah, there’s also like, this meeting Renamer, this is responsible for like, because you know that sometimes there are Zoom Meetings that have like vague names like.
148 00:11:42.310 ⇒ 00:11:43.380 Sam Roberts: Yes, just.
149 00:11:43.380 ⇒ 00:11:45.719 Casie Aviles: Zoom Meeting, you know, like
150 00:11:45.900 ⇒ 00:11:54.000 Casie Aviles: the the default name. So this is responsible for giving it a more descriptive meeting topic or name.
151 00:11:57.480 ⇒ 00:11:58.069 Sam Roberts: Cool
152 00:12:00.280 ⇒ 00:12:05.330 Casie Aviles: Yes, and then, yeah, this one’s the separate summary. Generate.
153 00:12:05.722 ⇒ 00:12:08.079 Sam Roberts: Okay, cool. That makes sense alright.
154 00:12:09.494 ⇒ 00:12:14.000 Casie Aviles: Maybe. Yeah, I think we should definitely consolidate that. But that’s.
155 00:12:14.000 ⇒ 00:12:20.429 Sam Roberts: Yeah. But for now I just I just I was just trying to understand, because I realized, without even seeing the in it and stuff that there were definitely 2 different things at work there.
156 00:12:21.750 ⇒ 00:12:24.030 Sam Roberts: So I just wasn’t sure where everything was, though.
157 00:12:25.030 ⇒ 00:12:27.070 Sam Roberts: Okay, cool. But that’s that’s a good.
158 00:12:29.910 ⇒ 00:12:34.009 Casie Aviles: I believe there’s also like a linear ticket generation.
159 00:12:34.710 ⇒ 00:12:36.349 Sam Roberts: Correct, right, right, right.
160 00:12:37.256 ⇒ 00:12:40.349 Casie Aviles: Yeah, it’s this one zoom linear ticket generation.
161 00:12:40.790 ⇒ 00:12:43.219 Casie Aviles: And it’s on a separate workflow.
162 00:12:44.580 ⇒ 00:12:49.019 Casie Aviles: So this is this one mustafa, mainly built.
163 00:12:49.490 ⇒ 00:12:50.400 Casie Aviles: Okay?
164 00:12:50.950 ⇒ 00:12:53.979 Casie Aviles: But yeah, this is what’s responsible for like
165 00:12:54.200 ⇒ 00:12:58.630 Casie Aviles: generating the linear tickets based on the Zoom transcript.
166 00:13:04.120 ⇒ 00:13:05.055 Casie Aviles: Okay,
167 00:13:13.500 ⇒ 00:13:19.180 Casie Aviles: there’s also like a like a Me, an email generator. I believe. So.
168 00:13:19.805 ⇒ 00:13:20.430 Sam Roberts: Right.
169 00:13:21.320 ⇒ 00:13:28.009 Casie Aviles: I think it’s it’s in in one of the other workflows. Yeah, it might. It might be here as well.
170 00:13:34.260 ⇒ 00:13:38.169 Casie Aviles: Okay, yeah, we have this sales. Follow up generator
171 00:13:38.990 ⇒ 00:13:41.700 Casie Aviles: webbook. URL, so this is what’s
172 00:13:42.080 ⇒ 00:13:45.629 Casie Aviles: what we’re calling. Basically. So it’s still, this workflow.
173 00:13:46.450 ⇒ 00:13:47.030 Sam Roberts: Okay.
174 00:13:52.450 ⇒ 00:13:57.950 Casie Aviles: Yeah, I think that’s mostly it for the the zoom stuff like.
175 00:13:58.340 ⇒ 00:13:59.480 Sam Roberts: Okay, great.
176 00:13:59.790 ⇒ 00:14:02.340 Sam Roberts: That’s definitely more than I had before. So I appreciate that.
177 00:14:02.974 ⇒ 00:14:03.280 Casie Aviles: Yeah.
178 00:14:13.470 ⇒ 00:14:15.970 Sam Roberts: Yes, I think, for it’s cool. Okay, cool.
179 00:14:17.255 ⇒ 00:14:17.910 Sam Roberts: Okay.
180 00:14:18.370 ⇒ 00:14:20.120 Sam Roberts: Just looking around myself. Now.
181 00:14:22.310 ⇒ 00:14:23.070 Sam Roberts: Okay.
182 00:14:23.700 ⇒ 00:14:28.740 Casie Aviles: There are other pieces here that I’m not too sure.
183 00:14:30.520 ⇒ 00:14:34.929 Casie Aviles: Like here, like the AI agents here. I’m not sure how this was set up.
184 00:14:35.710 ⇒ 00:14:36.340 Sam Roberts: Yeah.
185 00:14:39.020 ⇒ 00:14:44.440 Casie Aviles: And also, like the other tools here, deals that this is mostly Mustafa. He created this
186 00:14:44.580 ⇒ 00:14:45.649 Casie Aviles: the d yeah. Sorry.
187 00:14:45.650 ⇒ 00:14:48.040 Sam Roberts: The other day, and.
188 00:14:49.360 ⇒ 00:14:50.100 Casie Aviles: And yet.
189 00:14:50.100 ⇒ 00:14:50.760 Sam Roberts: That’s on.
190 00:14:51.120 ⇒ 00:14:55.150 Casie Aviles: All these other yeah, all these other parts.
191 00:14:55.150 ⇒ 00:14:57.189 Sam Roberts: Oh, yeah, okay, yeah.
192 00:15:00.800 ⇒ 00:15:03.100 Sam Roberts: cool. Okay, so.
193 00:15:03.100 ⇒ 00:15:03.460 Casie Aviles: Yeah.
194 00:15:04.870 ⇒ 00:15:08.609 Sam Roberts: Just trying to think where to go next, because this is a kind of information from within
195 00:15:09.000 ⇒ 00:15:10.720 Sam Roberts: start understanding, I guess.
196 00:15:12.120 ⇒ 00:15:22.179 Sam Roberts: What? Let’s actually now that that now that I’m thinking about it, probably one of the good things chat about a little bit is the or, if you know I don’t know again. I’m still trying to understand who who’s been dealing with.
197 00:15:22.180 ⇒ 00:15:22.750 Casie Aviles: Yeah.
198 00:15:23.362 ⇒ 00:15:28.540 Sam Roberts: So the the client. Hub stuff.
199 00:15:29.560 ⇒ 00:15:30.230 Sam Roberts: Wow!
200 00:15:30.670 ⇒ 00:15:35.660 Sam Roberts: So think Miguel put together the sop
201 00:15:36.640 ⇒ 00:15:37.270 Casie Aviles: Yes.
202 00:15:38.580 ⇒ 00:15:44.619 Sam Roberts: What? What is your I don’t know. Understanding of where all that stuff like.
203 00:15:44.820 ⇒ 00:15:48.250 Sam Roberts: I’m just trying to wrap my head around that a little bit now and again. I don’t know who’s.
204 00:15:49.000 ⇒ 00:15:49.826 Casie Aviles: Okay. Yeah.
205 00:15:50.240 ⇒ 00:15:54.920 Sam Roberts: Or not. But if you could just walk me through anything here that’s related to that would be helpful as well.
206 00:15:55.830 ⇒ 00:16:03.300 Casie Aviles: Sure. Okay. So when, whenever we create like a new client of agent, we.
207 00:16:04.200 ⇒ 00:16:10.189 Casie Aviles: Pretty much we just duplicate one of the existing ones. For example, here.
208 00:16:12.280 ⇒ 00:16:19.009 Casie Aviles: Sorry. We have these client hubs here, and we we would just duplicate one of these.
209 00:16:22.080 ⇒ 00:16:36.500 Casie Aviles: So, but but lately there have been, I I think Miguel has been running into some bugs. So that’s definitely something to check but but the process is basically we create the the workflow. And then we have all these
210 00:16:36.860 ⇒ 00:16:38.089 Casie Aviles: node set up.
211 00:16:41.100 ⇒ 00:16:48.600 Casie Aviles: And then we. So the the 2 main, I guess the 2 main highlights of the client Hub is like the the source. So we have like
212 00:16:48.820 ⇒ 00:16:52.559 Casie Aviles: Zoom vector, store. So this is like
213 00:16:52.820 ⇒ 00:16:55.380 Casie Aviles: one of the sources for the client hub agent.
214 00:16:55.790 ⇒ 00:16:58.510 Casie Aviles: And then we have the slap vector store.
215 00:17:01.590 ⇒ 00:17:02.300 Sam Roberts: Okay.
216 00:17:03.580 ⇒ 00:17:09.459 Casie Aviles: And yeah, like, what I mentioned earlier with the zoom part where we are vectorizing the transcript.
217 00:17:09.460 ⇒ 00:17:09.810 Sam Roberts: And then.
218 00:17:10.069 ⇒ 00:17:12.120 Casie Aviles: Where this where that comes in.
219 00:17:12.380 ⇒ 00:17:16.310 Casie Aviles: So that’s for here, and then
220 00:17:17.871 ⇒ 00:17:24.349 Casie Aviles: for slack. This is yeah. This one is mainly what Miguel worked on, and he has
221 00:17:24.849 ⇒ 00:17:27.370 Casie Aviles: a couple of. I believe he has some
222 00:17:27.750 ⇒ 00:17:32.119 Casie Aviles: pipelines on Dogster. I’m not sure if you have access to Dogster already.
223 00:17:32.790 ⇒ 00:17:33.300 Sam Roberts: Alright!
224 00:17:33.300 ⇒ 00:17:34.729 Casie Aviles: You should, you should, I think.
225 00:17:36.007 ⇒ 00:17:39.229 Sam Roberts: Let me see, I don’t know if I got that or not yet.
226 00:17:39.550 ⇒ 00:17:42.065 Casie Aviles: Yeah, we have a shared account that we
227 00:17:43.330 ⇒ 00:17:45.049 Sam Roberts: No, I don’t think I got Dexter yet.
228 00:17:45.170 ⇒ 00:17:45.890 Sam Roberts: Oh.
229 00:17:47.410 ⇒ 00:17:49.000 Casie Aviles: Oh, okay! Oh.
230 00:17:55.290 ⇒ 00:17:58.126 Sam Roberts: I’m doing the same thing juggling bitwarden in one password.
231 00:17:58.410 ⇒ 00:18:03.010 Casie Aviles: Yeah, I wasn’t using one password when I joined Brainforge.
232 00:18:03.010 ⇒ 00:18:04.650 Sam Roberts: Same, yeah.
233 00:18:07.460 ⇒ 00:18:13.329 Casie Aviles: Yeah, we’re we’re using engineering at Brainforge. This is what we use to log into dogs. Dogster.
234 00:18:13.840 ⇒ 00:18:14.580 Sam Roberts: Okay.
235 00:18:18.640 ⇒ 00:18:20.570 Casie Aviles: And then for windmill
236 00:18:21.220 ⇒ 00:18:30.280 Casie Aviles: we we should probably use engineering as well, but at the time we were we set it up to use utam this account, utam tri brain forge.
237 00:18:30.950 ⇒ 00:18:31.660 Sam Roberts: Okay.
238 00:18:37.310 ⇒ 00:18:42.350 Casie Aviles: Yeah. So I believe there are like, there’s like a schedule there
239 00:18:43.615 ⇒ 00:18:46.825 Casie Aviles: on Dogster, where we do retrieve
240 00:18:47.480 ⇒ 00:18:51.599 Casie Aviles: pre retrieval, I think where, basically, I believe what
241 00:18:51.740 ⇒ 00:18:54.889 Casie Aviles: happens is, Miguel takes like the slack threads
242 00:18:55.020 ⇒ 00:18:58.050 Casie Aviles: from the client related channel channels.
243 00:19:00.928 ⇒ 00:19:09.409 Casie Aviles: So, for example, like client ABC, home, it takes all the like the messages here.
244 00:19:11.800 ⇒ 00:19:17.440 Casie Aviles: It groups them and then that it vectorizes them.
245 00:19:18.600 ⇒ 00:19:22.839 Casie Aviles: But I’m not sure. Yeah, I might be missing some steps there
246 00:19:24.050 ⇒ 00:19:26.060 Casie Aviles: that I think that was the gist of it.
247 00:19:31.420 ⇒ 00:19:32.529 Casie Aviles: Okay, sorry. Go ahead.
248 00:19:32.530 ⇒ 00:19:34.030 Sam Roberts: Oh, you’re good!
249 00:19:34.490 ⇒ 00:19:38.729 Casie Aviles: Yeah, I might be. I might be giving too much info at once. But just let me know.
250 00:19:38.730 ⇒ 00:19:40.050 Sam Roberts: No, no, you’re fine. You’re fine.
251 00:19:40.340 ⇒ 00:19:40.800 Casie Aviles: Yeah.
252 00:19:40.800 ⇒ 00:19:44.699 Sam Roberts: Like I said, any. I’m just trying to wrap my head around off some of the stuff. So this is so the slack.
253 00:19:45.120 ⇒ 00:19:50.329 Sam Roberts: So that data is getting transformed here and vectorized and stored into super base.
254 00:19:51.635 ⇒ 00:19:54.050 Casie Aviles: Yes, there we have some tables there.
255 00:19:54.530 ⇒ 00:19:55.034 Sam Roberts: Okay.
256 00:20:06.630 ⇒ 00:20:10.239 Casie Aviles: Yeah, this it should be here. I believe the internal slot.
257 00:20:10.810 ⇒ 00:20:11.850 Sam Roberts: Okay. Cool.
258 00:20:15.330 ⇒ 00:20:17.469 Casie Aviles: Oh, yeah, we have a lot here.
259 00:20:18.330 ⇒ 00:20:22.820 Sam Roberts: Oh, wow, okay, okay.
260 00:20:26.710 ⇒ 00:20:32.379 Sam Roberts: okay, cool, cool. That’s at least I can. Now I know what internal slack is. I wasn’t sure what all these tables and projects were.
261 00:20:32.380 ⇒ 00:20:32.810 Casie Aviles: Yes.
262 00:20:32.810 ⇒ 00:20:35.850 Sam Roberts: Days. So that’s good. Cool. Okay?
263 00:20:39.590 ⇒ 00:20:40.430 Sam Roberts: Yeah.
264 00:20:40.570 ⇒ 00:20:42.240 Sam Roberts: I’m sure there’s plenty more to
265 00:20:42.450 ⇒ 00:20:44.620 Sam Roberts: Oxford, but that’s a pretty good.
266 00:20:46.190 ⇒ 00:20:48.650 Sam Roberts: And honestly, now that I have the M. 8 N.
267 00:20:49.120 ⇒ 00:20:54.050 Sam Roberts: Project. I can take a look, and I didn’t realize.
268 00:20:54.460 ⇒ 00:20:54.830 Casie Aviles: Yes.
269 00:20:54.830 ⇒ 00:20:58.951 Sam Roberts: Yeah, I didn’t. I didn’t have that yet, so I couldn’t really do that. So that’s good. Now.
270 00:20:59.980 ⇒ 00:21:00.920 Sam Roberts: incoming
271 00:21:05.143 ⇒ 00:21:09.800 Sam Roberts: yeah. So I guess. The next thing.
272 00:21:10.610 ⇒ 00:21:14.863 Sam Roberts: Well, this gives me a lot to start documenting at least.
273 00:21:15.600 ⇒ 00:21:22.830 Sam Roberts: I’m trying to think, you know. So the time mentioned that you wanted to help out. That’s sort of why we’re chatting now, I guess. What are you? I don’t know.
274 00:21:23.339 ⇒ 00:21:33.300 Sam Roberts: So this is again. I just kind of did a quick brain dump here? And then, uhm, did a little bit more of the top. Yeah, these tables here, with some more of the goals and the.
275 00:21:34.090 ⇒ 00:21:34.710 Casie Aviles: I see.
276 00:21:34.710 ⇒ 00:21:43.110 Sam Roberts: Kind of like the use case, like what we’re trying to do with some of the stuff. So what I’m thinking I might start doing
277 00:21:43.480 ⇒ 00:21:53.429 Sam Roberts: from here is mapping this out a little bit, at least in my mind getting it down. I was just listing what I had access to kind of things, and like, just so you can see, I was just like
278 00:21:53.830 ⇒ 00:21:55.420 Sam Roberts: wrap my head around a little bit. But
279 00:21:56.880 ⇒ 00:22:03.229 Sam Roberts: you know, tech wise with some of the open questions, like style guides and prettier and all like, How are I? There’s some things I want to figure out like
280 00:22:03.670 ⇒ 00:22:08.309 Sam Roberts: how we can standardize things a little bit, maybe because I’m noticing when I go to save stuff. There’s like
281 00:22:09.890 ⇒ 00:22:14.827 Sam Roberts: you know, it’s like switching single quotes to double quotes and things like that.
282 00:22:15.180 ⇒ 00:22:15.830 Casie Aviles: Yeah.
283 00:22:15.830 ⇒ 00:22:19.870 Sam Roberts: And I don’t know if we just have like a prettier rule or something. I don’t know how people have been working
284 00:22:21.240 ⇒ 00:22:26.050 Sam Roberts: so far, but that’s more. That’s more like tech stuff. But yeah, go ahead.
285 00:22:26.640 ⇒ 00:22:29.420 Casie Aviles: This is a what particular?
286 00:22:29.730 ⇒ 00:22:32.507 Casie Aviles: What are we particularly styling here?
287 00:22:32.970 ⇒ 00:22:38.400 Sam Roberts: Oh, I’m in style, Guy, like a like like code code style.
288 00:22:38.400 ⇒ 00:22:40.230 Casie Aviles: Oh, code, style, okay.
289 00:22:40.230 ⇒ 00:22:51.029 Sam Roberts: Like, and that’s why I have like, like, if we added rules to cursor. And and I don’t know if we’re using. I mean, I was all really just looking at the platform for the most part, but to make sure that when people are working on it we’re not.
290 00:22:51.400 ⇒ 00:22:55.709 Sam Roberts: you know. We’re not clashing styles of coding
291 00:22:56.430 ⇒ 00:22:57.270 Casie Aviles: Yeah, that’s.
292 00:22:57.270 ⇒ 00:23:02.509 Sam Roberts: Consistent but I might just go ahead and start adding some of those things to the
293 00:23:02.700 ⇒ 00:23:08.363 Sam Roberts: well. It depends. Once we get. If we get to a next app or something that’ll handle some of that for us. So
294 00:23:08.610 ⇒ 00:23:08.940 Casie Aviles: Yeah.
295 00:23:08.990 ⇒ 00:23:14.049 Sam Roberts: But otherwise I just don’t want to start like documenting the current
296 00:23:14.730 ⇒ 00:23:20.410 Sam Roberts: architecture. And that’s sort of what I you just gave me a huge help with some of that, because I.
297 00:23:20.410 ⇒ 00:23:20.960 Casie Aviles: Sure.
298 00:23:20.960 ⇒ 00:23:27.724 Sam Roberts: Did not have a good sense of all these other tools. And what was plugged in where?
299 00:23:28.830 ⇒ 00:23:38.289 Sam Roberts: I would say. Well, let me ask you this. Are there any other things that touch the platform that we didn’t go over right now that you’re aware of.
300 00:23:40.366 ⇒ 00:23:45.429 Casie Aviles: I’m trying to think. I think I’ve I’ve I’ve mentioned most of what I know.
301 00:23:45.990 ⇒ 00:23:50.170 Casie Aviles: Okay, yeah.
302 00:23:54.560 ⇒ 00:23:58.370 Sam Roberts: Cool, alright. Well, that’s I mean, like, I said. This has been very helpful even just.
303 00:23:58.540 ⇒ 00:24:05.194 Sam Roberts: you know, getting the access to any of that, and walking me through some of those. Now I can do a little more. Dive into that
304 00:24:06.600 ⇒ 00:24:09.979 Sam Roberts: And just figure out, you know, kind of that
305 00:24:10.320 ⇒ 00:24:16.730 Sam Roberts: moving very quickly. Thing has been great but also gotta slow down and take stock of everything.
306 00:24:17.300 ⇒ 00:24:18.810 Casie Aviles: Yes, yes, for sure.
307 00:24:19.110 ⇒ 00:24:29.920 Sam Roberts: So yeah, I’m trying to think what is the best way to forward here.
308 00:24:32.550 ⇒ 00:24:35.189 Sam Roberts: Well, let me do this. Do you have any questions for me about
309 00:24:36.450 ⇒ 00:24:42.639 Sam Roberts: how this might go, or you know things you’re wondering about like I said at this point. It’s very, just much a brain dump, but I don’t know if it’
310 00:24:42.640 ⇒ 00:24:48.130 Sam Roberts: yeah the most helpful document yet, but.
311 00:24:49.550 ⇒ 00:24:54.240 Casie Aviles: Yeah. So I I guess I was going to ask like if if we had like a
312 00:24:54.560 ⇒ 00:24:58.580 Casie Aviles: I guess a a template, or like a structure in mind already.
313 00:25:02.970 ⇒ 00:25:15.429 Sam Roberts: a little bit. You know. I I think part of it was I was waiting for Tom’s brain dump to see some of this stuff that he put in here to see, because I I don’t have a great sense of the or didn’t at that point have a great sense of the like
314 00:25:16.220 ⇒ 00:25:18.190 Sam Roberts: specific use cases.
315 00:25:18.350 ⇒ 00:25:20.719 Sam Roberts: You know, I had kind of a general idea.
316 00:25:22.120 ⇒ 00:25:23.859 Sam Roberts: But now
317 00:25:24.667 ⇒ 00:25:32.099 Sam Roberts: that, I’m kind of getting the full picture, I think what I want to lay out is you know this, the
318 00:25:35.110 ⇒ 00:25:39.380 Sam Roberts: oops I’m trying to think of here the like, I guess structure of the app
319 00:25:39.730 ⇒ 00:25:44.370 Sam Roberts: mirrored into this document the architecture of that. But then, also, like.
320 00:25:44.530 ⇒ 00:25:48.409 Sam Roberts: what’s running? Where? How are we doing these things? What’s going to.
321 00:25:48.570 ⇒ 00:25:51.589 Sam Roberts: you know, like, what is N. 8 n. What is
322 00:25:51.780 ⇒ 00:25:54.869 Sam Roberts: windmill, you know? Where are things in super base?
323 00:25:55.456 ⇒ 00:25:57.740 Sam Roberts: Especially because as we move to start
324 00:26:02.370 ⇒ 00:26:06.730 Sam Roberts: the the new client of stuff. You know, this is all kind of related to the
325 00:26:08.980 ⇒ 00:26:12.669 Sam Roberts: like, how do we make it more automated to do that?
326 00:26:14.480 ⇒ 00:26:21.480 Sam Roberts: Because if it’s so manual right now, part of that’s because there are manual things to do there, but also because, like the the architecture of the
327 00:26:21.790 ⇒ 00:26:24.780 Sam Roberts: platform is is a little all over the place, which was fine.
328 00:26:25.010 ⇒ 00:26:29.599 Sam Roberts: Get there? But yeah, I think the structure of this is gonna kind of mirror. What
329 00:26:29.940 ⇒ 00:26:36.880 Sam Roberts: maybe what it currently looks like. And then we’ll start making, like, you know, cause what do we have right now?
330 00:26:37.363 ⇒ 00:26:49.299 Sam Roberts: We’ve got like, you know, there’s the main dashboard, which is basically just the all the meetings and broken up by clients agents. Again, I I gotta figure out exactly what is
331 00:26:49.800 ⇒ 00:26:52.109 Sam Roberts: kind of live here and what isn’t
332 00:26:53.040 ⇒ 00:26:58.184 Sam Roberts: and that will probably all go in this document as well. And we can get people to comment on it. And
333 00:27:01.050 ⇒ 00:27:05.510 Sam Roberts: yeah, yeah, there you go. I mean, you’re seeing it now. So yeah, like, it’s just kind of get
334 00:27:05.680 ⇒ 00:27:09.840 Sam Roberts: everything in one place. Which
335 00:27:10.670 ⇒ 00:27:17.680 Sam Roberts: is a big task. But also like I’m doing it kind of, anyway, in my brain to try to understand everything as I’m coming on. So
336 00:27:18.140 ⇒ 00:27:19.220 Sam Roberts: getting it down is.
337 00:27:20.390 ⇒ 00:27:27.379 Casie Aviles: Yes, yes, I was just thinking of like which areas I can best help with.
338 00:27:27.880 ⇒ 00:27:28.410 Casie Aviles: So.
339 00:27:28.410 ⇒ 00:27:37.440 Sam Roberts: Yeah, let me let me think. If we get well, I’m gonna probably start another. I’m gonna probably maybe trash a little bit of this
340 00:27:37.680 ⇒ 00:27:42.659 Sam Roberts: and and start laying things out by maybe section of the platform.
341 00:27:44.680 ⇒ 00:27:47.089 Sam Roberts: And then what I’ll do is probably
342 00:27:47.710 ⇒ 00:27:53.462 Sam Roberts: digest a little bit about what you and I just walked through with N. 8 N. And that’ll give you
343 00:27:54.910 ⇒ 00:28:00.690 Sam Roberts: the place to start like filling in more information that make sense.
344 00:28:01.160 ⇒ 00:28:05.780 Casie Aviles: Yes, so like like if I if I lay out like, okay, we have the.
345 00:28:06.453 ⇒ 00:28:16.216 Sam Roberts: You know the client hub pages what all goes into there, what all is happening to load these pages and make that work. I can start like just kind of filling things out in kind of a
346 00:28:17.140 ⇒ 00:28:22.990 Sam Roberts: you know, bullet points, maybe, and and you can probably go in and fill in more of the details that way.
347 00:28:23.330 ⇒ 00:28:28.350 Sam Roberts: like we kind of had a high overview just now. But let let me throw a little bit of structure down to it.
348 00:28:28.610 ⇒ 00:28:29.770 Sam Roberts: based on our
349 00:28:30.250 ⇒ 00:28:39.059 Sam Roberts: conversation now and then. I’ll get you. I’ll probably tag you in certain places, maybe to fill things in
350 00:28:41.400 ⇒ 00:28:44.379 Sam Roberts: trying to think, are there other?
351 00:28:45.710 ⇒ 00:28:50.589 Sam Roberts: So you mentioned Miguel? For a couple of things here you mentioned
352 00:28:50.810 ⇒ 00:28:52.789 Sam Roberts: where he so he has the super base
353 00:28:53.230 ⇒ 00:28:58.929 Sam Roberts: slack vector. Store. I’m just trying to think of who I need to. Maybe paying for certain parts of this stuff. Better.
354 00:29:00.020 ⇒ 00:29:00.960 Casie Aviles: Yes. Okay.
355 00:29:01.400 ⇒ 00:29:06.120 Sam Roberts: The linear stuff was, oh.
356 00:29:06.870 ⇒ 00:29:14.424 Sam Roberts: stuff. Okay? So yeah, I got a few senses. But I think maybe oh, perfect. Thank you. That’s exactly what we had. I was, gonna say, there’s some other tools I wasn’t sure of. But
357 00:29:15.220 ⇒ 00:29:26.939 Sam Roberts: okay, yeah, I would say, just, you know, for now filling in anything that’s missing. The other thing I want to add there. And maybe this. Actually, this is probably something good for you. The super based projects that we have.
358 00:29:27.886 ⇒ 00:29:32.689 Sam Roberts: This one through a couple of times, and we got like the slack internal, or the AI internal.
359 00:29:32.840 ⇒ 00:29:34.369 Sam Roberts: or what was it?
360 00:29:35.540 ⇒ 00:29:40.480 Sam Roberts: Internal, slack, internal. If you could just like document
361 00:29:40.710 ⇒ 00:29:43.250 Sam Roberts: in this in that notion document like
362 00:29:44.130 ⇒ 00:29:49.169 Sam Roberts: what we currently have and you know, like Internal Github internal, slack, internal zoom, you know, just.
363 00:29:49.710 ⇒ 00:29:50.830 Casie Aviles: Yes, definitely.
364 00:29:50.830 ⇒ 00:29:54.754 Sam Roberts: List those out with a little description that would be very helpful for me right now.
365 00:29:55.450 ⇒ 00:29:59.040 Sam Roberts: and then. Yeah, I think. Let’s say.
366 00:29:59.620 ⇒ 00:30:01.560 Sam Roberts: and what are we at? We’re on Monday.
367 00:30:02.445 ⇒ 00:30:11.620 Sam Roberts: No, I have to get to get stuff done. Let’s try to retouch base, maybe.
368 00:30:14.710 ⇒ 00:30:16.439 Sam Roberts: What what time zone are you in.
369 00:30:17.430 ⇒ 00:30:19.749 Casie Aviles: And GMT plus 8.
370 00:30:19.900 ⇒ 00:30:23.139 Casie Aviles: So okay, Philippines, time.
371 00:30:23.310 ⇒ 00:30:24.330 Sam Roberts: Okay, okay.
372 00:30:24.610 ⇒ 00:30:27.149 Sam Roberts: So I’m just trying to think. I don’t know, you know, when.
373 00:30:27.260 ⇒ 00:30:29.410 Sam Roberts: But let’s try to say, maybe
374 00:30:30.016 ⇒ 00:30:34.040 Sam Roberts: wednesday, or maybe Thursday morning. Would that be good
375 00:30:34.140 ⇒ 00:30:35.919 Sam Roberts: to just like reconnect on this.
376 00:30:36.230 ⇒ 00:30:42.959 Casie Aviles: Yes, so before, like before the the review. Right with Utong is that before.
377 00:30:44.530 ⇒ 00:30:51.209 Sam Roberts: yeah, yeah, I would say before, so what do we have? On Thursday, yeah, maybe. Thursday before the stand up. Maybe.
378 00:30:52.890 ⇒ 00:30:55.150 Casie Aviles: Okay, so.
379 00:30:55.150 ⇒ 00:30:56.310 Sam Roberts: Let’s just pencil something.
380 00:30:56.310 ⇒ 00:30:57.600 Sam Roberts: Yeah, yeah, okay, what?
381 00:30:58.382 ⇒ 00:31:02.569 Sam Roberts: Because, like, I’ll be doing a little bit. I’ll be pinging you probably to add some stuff, but
382 00:31:04.310 ⇒ 00:31:13.199 Sam Roberts: I’m still trying to, you know, get a handle on everything, and so I don’t want to like just toss up to you without me really digesting it a little bit first, st but.
383 00:31:14.450 ⇒ 00:31:17.500 Casie Aviles: Oh, yeah, yeah, no problem. I can. I can help.
384 00:31:17.500 ⇒ 00:31:18.040 Sam Roberts: I’m just.
385 00:31:18.600 ⇒ 00:31:20.470 Casie Aviles: Fill in the details here. That’s.
386 00:31:21.190 ⇒ 00:31:21.950 Sam Roberts: Perfect.
387 00:31:22.070 ⇒ 00:31:27.219 Sam Roberts: Yeah, so yeah, link those. And then just like a little quick description of like what is stored, there would be great.
388 00:31:27.660 ⇒ 00:31:31.897 Sam Roberts: And then, yeah, I let’s say, like Thursday morning, let’s try to do something
389 00:31:32.530 ⇒ 00:31:37.030 Sam Roberts: or Thursday morning. My time, I guess that’s before yeah. Sometime before the team stand up on Thursday.
390 00:31:37.620 ⇒ 00:31:38.190 Casie Aviles: Okay.
391 00:31:38.960 ⇒ 00:31:44.779 Sam Roberts: Let’s just touch base. If we haven’t. You know, we might not even need that if we’ve already been back and forth a little bit. But
392 00:31:44.900 ⇒ 00:31:46.959 Sam Roberts: let’s just plan for that. If that works.
393 00:31:47.910 ⇒ 00:31:48.570 Casie Aviles: Sure.
394 00:31:49.420 ⇒ 00:31:50.109 Sam Roberts: All right.
395 00:31:50.350 ⇒ 00:31:51.090 Sam Roberts: Cool.
396 00:31:57.210 ⇒ 00:32:00.940 Sam Roberts: Yeah. Anything else for me right now.
397 00:32:01.980 ⇒ 00:32:07.829 Casie Aviles: So we’re we’re mo- mostly just documenting the internal stuff for now, right there’s because.
398 00:32:07.830 ⇒ 00:32:11.099 Sam Roberts: For now. Yeah, I think that’s the best way to start getting it for
399 00:32:11.300 ⇒ 00:32:21.399 Sam Roberts: yeah. Eventually, I want to start re re architecture architecting, I should say. But I think I really want to document what’s there 1st before starting to
400 00:32:22.630 ⇒ 00:32:26.060 Sam Roberts: like? I mean, I think Tom mentioned earlier. It’s like it’s gonna be a living document.
401 00:32:27.440 ⇒ 00:32:34.009 Sam Roberts: And so I want it to basically like mirror for now what we have, and then
402 00:32:34.500 ⇒ 00:32:38.630 Sam Roberts: that will help us see where to start making moves for
403 00:32:39.180 ⇒ 00:32:52.127 Sam Roberts: tweaking things. Or, Oh, this is how we can automate it more or you know, especially the client of stuff this week, you know. I don’t have a good sense of all that. I gotta go through that sop at some point.
404 00:32:52.850 ⇒ 00:32:56.219 Sam Roberts: but like, it’s just sort of. That’s what I want to document like how things are
405 00:32:56.991 ⇒ 00:33:00.390 Sam Roberts: so that we can then move forward.
406 00:33:01.930 ⇒ 00:33:02.640 Casie Aviles: Alright!
407 00:33:03.750 ⇒ 00:33:04.520 Sam Roberts: Make, sense.
408 00:33:05.260 ⇒ 00:33:05.930 Casie Aviles: Yes.
409 00:33:06.440 ⇒ 00:33:08.189 Sam Roberts: Cool, awesome. Alright.
410 00:33:10.260 ⇒ 00:33:12.745 Sam Roberts: Yeah, I guess that’s all I’ve got.
411 00:33:17.020 ⇒ 00:33:20.570 Sam Roberts: you have anything else like we can chat about it now. Otherwise.
412 00:33:23.405 ⇒ 00:33:32.267 Casie Aviles: It’s not really related to the like. The this, doc, if that’s fine
413 00:33:33.350 ⇒ 00:33:43.609 Casie Aviles: like I I just wanted to ask regarding your comment, I guess, for the spike I had.
414 00:33:46.720 ⇒ 00:33:47.190 Sam Roberts: Oh, yeah.
415 00:33:48.910 ⇒ 00:33:50.110 Casie Aviles: Where is that again?
416 00:33:51.230 ⇒ 00:33:53.240 Casie Aviles: Let me just get the.
417 00:33:57.470 ⇒ 00:33:58.850 Sam Roberts: Yes. Okay.
418 00:34:05.250 ⇒ 00:34:06.390 Casie Aviles: Okay, cool. So I.
419 00:34:06.390 ⇒ 00:34:15.460 Sam Roberts: Yeah, what I was saying here was, I guess I wasn’t sure how this data was already being handled. Now I have a little bit of a better sense that we’re vectorizing some of the
420 00:34:17.750 ⇒ 00:34:23.405 Sam Roberts: the transcripts and everything. So my comment is maybe irrelevant. Now that I understand a little bit more.
421 00:34:24.630 ⇒ 00:34:30.380 Sam Roberts: but yeah, I was just. I wasn’t sure. You know, if it may, if we already have to.
422 00:34:30.510 ⇒ 00:34:32.969 Casie Aviles: Pre-process the data which I guess we’re already doing.
423 00:34:33.270 ⇒ 00:34:35.249 Sam Roberts: I don’t. I don’t really know.
424 00:34:37.449 ⇒ 00:34:37.979 Casie Aviles: Yeah.
425 00:34:37.980 ⇒ 00:34:40.200 Sam Roberts: We can use from that necessarily as well.
426 00:34:40.541 ⇒ 00:34:53.139 Sam Roberts: I just was thinking like, if if neither one of them like, you know, in the in the ideal world would be able to just be like, here’s a transcript, and the search platform would just kind of take that and let us search over it, but we always have to do a little more than that.
427 00:34:54.469 ⇒ 00:34:54.949 Casie Aviles: Yeah.
428 00:34:54.949 ⇒ 00:34:59.729 Sam Roberts: I wasn’t sure I wasn’t sure like if we have to do it for both of them, anyway. Then
429 00:35:01.649 ⇒ 00:35:03.969 Sam Roberts: it doesn’t really matter to me, I guess. Which one
430 00:35:07.819 ⇒ 00:35:11.259 Sam Roberts: so, anyway. Sorry. Did you have a specific question for what I said or.
431 00:35:12.771 ⇒ 00:35:17.428 Casie Aviles: No, I guess I was just, you know, asking for some more contacts like
432 00:35:19.360 ⇒ 00:35:26.320 Casie Aviles: it’s like, it’s like, I I believe, if I understand correctly what you were mentioning here is, and
433 00:35:26.600 ⇒ 00:35:33.689 Casie Aviles: that it makes sense to you to go with like, I guess with something easier to set up.
434 00:35:34.820 ⇒ 00:35:38.269 Casie Aviles: especially if we have to do the chunking before.
435 00:35:38.970 ⇒ 00:35:45.140 Sam Roberts: Yeah. So that’s what I’m saying. If, if, say, Elasti, search was more complicated, but would have handled things for us better.
436 00:35:45.970 ⇒ 00:35:49.429 Sam Roberts: But if we have to. If it’s basically kind of the same thing to set up
437 00:35:49.890 ⇒ 00:35:53.000 Sam Roberts: and passing our our data to it.
438 00:35:53.960 ⇒ 00:35:54.430 Sam Roberts: Okay, let’s go
439 00:35:54.430 ⇒ 00:36:03.829 Sam Roberts: with the thing that’s minimal, for now and then, if it’s not meeting, our needs go with the more complex stuff. I think we, Tom, kind of mentioned something like that, too, that at some point we may want to move, but.
440 00:36:04.280 ⇒ 00:36:04.800 Casie Aviles: I see.
441 00:36:04.800 ⇒ 00:36:12.139 Sam Roberts: Now, for now I mean, I’m very much. I think I mentioned this earlier about like the no premature optimization kind of attitude.
442 00:36:12.756 ⇒ 00:36:13.730 Sam Roberts: So like.
443 00:36:14.960 ⇒ 00:36:31.579 Sam Roberts: I don’t want to go with the tool that you know I don’t want to use, you know, a bomb when we just need a hammer kind of thing, you know. I don’t want something, and if it takes so long to set up and it’s way overkill, I feel like that’s just a waste of resources. So if it’s easy to get it up and running, and and we can
444 00:36:32.270 ⇒ 00:36:39.690 Sam Roberts: try it and see that’s probably more useful than a more complex one
445 00:36:42.060 ⇒ 00:36:43.750 Sam Roberts: unless we know we need that
446 00:36:44.040 ⇒ 00:36:49.169 Sam Roberts: power or complexity. And because I think we’re gonna have to do some of the work to Pre,
447 00:36:51.010 ⇒ 00:36:51.830 Sam Roberts: you know.
448 00:36:52.090 ⇒ 00:37:10.000 Sam Roberts: maybe we have to like Chunk Chunk the transcripts so that we can more easily search through them or whatever. But if we’re already vectorizing it a little bit. I’m curious to see how that’s going in there, so we might already be done with that. I’m not really sure yet, but I was just saying, like, you know, if the last of search was as easy as like upload the transcripts, and it just searches everything and does a really good job.
449 00:37:10.120 ⇒ 00:37:17.960 Sam Roberts: Then, yeah, maybe the complexity is worth it. But if not, I think we want to go with the easiest, fastest thing to get. Try to try to get running.
450 00:37:19.390 ⇒ 00:37:21.610 Sam Roberts: Okay, if it does what we need. That’s my thought.
451 00:37:22.380 ⇒ 00:37:26.748 Casie Aviles: Yeah, that. Yeah, that’s very helpful. Like I that I was kind of torn like,
452 00:37:27.670 ⇒ 00:37:32.616 Casie Aviles: yeah. So we yeah, like the analogy you mentioned that that was really helpful.
453 00:37:33.950 ⇒ 00:37:40.580 Sam Roberts: Yeah. And I think, especially for something like what we’re doing, where you know, we’re gonna have a lot of data. But it’s not gonna be like
454 00:37:42.080 ⇒ 00:37:45.896 Sam Roberts: what these are necessarily built for amounts of data. If that makes sense
455 00:37:46.530 ⇒ 00:37:52.120 Sam Roberts: like Alaska, search is built for, like, you know, giant volumes of data, and that
456 00:37:53.780 ⇒ 00:37:56.840 Casie Aviles: Yeah, we don’t have that much. I.
457 00:37:56.840 ⇒ 00:38:08.189 Sam Roberts: Yeah, like, we’re gonna we’re gonna generate a lot of transcripts. But we’re not. You know, it’s not like there’s hundreds of companies like us that are gonna be doing hundreds of meetings. They’re all, you know. It doesn’t scale quite the same way. So I think, like
458 00:38:08.750 ⇒ 00:38:15.870 Sam Roberts: simpler, quicker is worth it, for now and then, if we need to go complex, we’ll go complex.
459 00:38:16.740 ⇒ 00:38:19.190 Casie Aviles: Okay, yes, that’s very helpful.
460 00:38:19.650 ⇒ 00:38:19.990 Sam Roberts: Okay.
461 00:38:19.990 ⇒ 00:38:20.750 Sam Roberts: Sorry.
462 00:38:21.230 ⇒ 00:38:26.710 Casie Aviles: Yeah, I think, yeah. For now I guess I’m yeah. I’m still leaning more on, mainly search.
463 00:38:27.270 ⇒ 00:38:36.470 Sam Roberts: Yeah, I think I think that’s fine. You know, the spike is is very helpful to do. But it’s also like, sometimes it’s just like it shows you what you already kind of thought, or or sometimes it
464 00:38:36.990 ⇒ 00:38:43.409 Sam Roberts: so something new. And I think here it was. It was based on what I read from what you had, you know, easy and fastest to get up and running.
465 00:38:44.045 ⇒ 00:38:50.950 Sam Roberts: You know not ton of benefits for the elastosearch complexity. It seems like so.
466 00:38:51.430 ⇒ 00:39:02.049 Casie Aviles: Yeah, because, yeah, honestly, I’m not super what they called. I haven’t really used those kinds of tools yet. And they seem like too big for me. Like.
467 00:39:02.450 ⇒ 00:39:08.929 Casie Aviles: with mainly search, I was able to quickly set it up for the others, like I had to do a lot of setup.
468 00:39:10.490 ⇒ 00:39:15.719 Casie Aviles: and probably they’re good for like bigger use cases, as you mentioned. But.
469 00:39:15.880 ⇒ 00:39:24.559 Sam Roberts: Yeah, exactly. I think, for the type of stuff we’re doing, it makes more sense, you know. If like, if we had a client project that needed.
470 00:39:24.680 ⇒ 00:39:29.219 Sam Roberts: You know, terabytes of data searched kind of thing.
471 00:39:29.680 ⇒ 00:39:36.780 Sam Roberts: I yeah, maybe maybe it’s not the right one. But that’s that would be a different Spike. You know what I mean. It would be a different use. Case.
472 00:39:37.820 ⇒ 00:39:38.470 Casie Aviles: Okay.
473 00:39:39.430 ⇒ 00:39:44.009 Sam Roberts: So yeah, I think I mean, I based on the spike at least the what you have here. I think that’s fine. I didn’t do a ton of
474 00:39:44.340 ⇒ 00:39:47.065 Sam Roberts: my own research beyond that.
475 00:39:48.270 ⇒ 00:39:58.980 Sam Roberts: but I think it’s it’s worth that. That would be my. My choice is maybe I’ll do a little. Maybe I’ll click around a little bit. But I think I think you’re probably right here. I was basically what I was trying to say.
476 00:40:00.040 ⇒ 00:40:05.520 Casie Aviles: Okay, yeah, thank you very much. I guess that’s that’s all I have right now.
477 00:40:06.430 ⇒ 00:40:07.650 Sam Roberts: Awesome. Alright.
478 00:40:07.970 ⇒ 00:40:10.439 Sam Roberts: Well, thank you for taking the time to walk me through some of that stuff.
479 00:40:10.920 ⇒ 00:40:11.490 Casie Aviles: Sure.
480 00:40:11.490 ⇒ 00:40:28.450 Sam Roberts: I will again ping me if there’s anything you’re wondering about the document. Wise or thoughts you have, or ideas for best ways to structure it. I’m I’m all ears. But I think, for now my plan is to just kind of mirror what we currently have in a document. So it’s a little more
481 00:40:29.920 ⇒ 00:40:32.110 Sam Roberts: visible, you know, for someone
482 00:40:32.560 ⇒ 00:40:35.220 Sam Roberts: coming right into it. Or you know, we can get a top level.
483 00:40:35.220 ⇒ 00:40:35.840 Casie Aviles: Yes.
484 00:40:35.840 ⇒ 00:40:40.120 Sam Roberts: All at once so cool.
485 00:40:40.480 ⇒ 00:40:42.020 Casie Aviles: Yeah, okay.
486 00:40:43.680 ⇒ 00:40:44.989 Sam Roberts: Awesome, anything else.
487 00:40:46.551 ⇒ 00:40:48.260 Casie Aviles: No! I think that’s all.
488 00:40:48.840 ⇒ 00:40:49.690 Sam Roberts: Alright! Great!
489 00:40:50.080 ⇒ 00:40:51.330 Sam Roberts: I appreciate your time.
490 00:40:52.070 ⇒ 00:40:54.400 Casie Aviles: Sure. Yeah, thank you very much, Sam.
491 00:40:55.080 ⇒ 00:40:56.890 Sam Roberts: Alright that you do it.
492 00:40:57.790 ⇒ 00:40:59.729 Casie Aviles: Okay, thank you. Bye, bye.
493 00:40:59.870 ⇒ 00:41:01.029 Sam Roberts: Yeah, I’ll make it from.