Meeting Title: AI Service Daily Recap - Blockers + Realign Date: 2026-04-30 Meeting participants: Samuel Roberts, Mustafa Raja, Casie Aviles, Pranav Narahari
WEBVTT
1 00:00:10.880 ⇒ 00:00:11.690 Mustafa Raja: Hey.
2 00:00:14.700 ⇒ 00:00:15.380 Samuel Roberts: Boo.
3 00:00:16.110 ⇒ 00:00:16.899 Mustafa Raja: How are you?
4 00:00:17.950 ⇒ 00:00:23.190 Samuel Roberts: Doing okay, eating some… Roadblocks with my open code, but, you know.
5 00:00:23.370 ⇒ 00:00:25.150 Samuel Roberts: It’s what’s new.
6 00:00:29.510 ⇒ 00:00:30.740 Samuel Roberts: Eden was gone.
7 00:00:31.500 ⇒ 00:00:32.600 Samuel Roberts: Yeah, good. Sorry?
8 00:00:33.330 ⇒ 00:00:41.350 Mustafa Raja: GLM was nice. I started using VLM as, My, you know, go-to…
9 00:00:42.620 ⇒ 00:00:44.529 Mustafa Raja: model for open code, and it’s been.
10 00:00:44.530 ⇒ 00:00:44.910 Samuel Roberts: Oh, yeah.
11 00:00:45.480 ⇒ 00:00:46.230 Mustafa Raja: Right now.
12 00:00:46.630 ⇒ 00:00:50.060 Samuel Roberts: Oh, nice. Yeah, I haven’t had a chance to try it yet.
13 00:00:52.000 ⇒ 00:00:54.000 Mustafa Raja: Yeah, it’s nice. I recommend it.
14 00:00:54.350 ⇒ 00:00:55.299 Samuel Roberts: And I’ll try it out.
15 00:00:59.090 ⇒ 00:01:00.840 Samuel Roberts: How about you, Casey, how are things?
16 00:01:02.430 ⇒ 00:01:05.160 Casie Aviles: Oh, hey, yeah, I was just,
17 00:01:05.960 ⇒ 00:01:14.860 Casie Aviles: working on Eden, and I asked, like, an initial, broad Question to the… Agent.
18 00:01:15.670 ⇒ 00:01:16.340 Samuel Roberts: Nice.
19 00:01:19.930 ⇒ 00:01:20.500 Samuel Roberts: Cool.
20 00:01:22.420 ⇒ 00:01:28.870 Casie Aviles: I’ll wait a little for Prano to kind of go in depth, but I guess what I was thinking is, like.
21 00:01:30.050 ⇒ 00:01:33.880 Casie Aviles: I guess we need to understand, like, what…
22 00:01:34.440 ⇒ 00:01:39.260 Casie Aviles: what exactly the… so the COO will be using this, right? Primarily, the COO.
23 00:01:39.260 ⇒ 00:01:40.580 Samuel Roberts: Correct, yeah.
24 00:01:41.990 ⇒ 00:01:45.019 Casie Aviles: Yeah, so kind of understanding, like, what… what…
25 00:01:45.620 ⇒ 00:01:48.799 Casie Aviles: The report is supposed to do for them, you know, like…
26 00:01:49.430 ⇒ 00:01:55.230 Casie Aviles: because right now, like, the summaries that I… or the themes that I generated are more… more of just
27 00:01:55.340 ⇒ 00:01:59.059 Casie Aviles: Topic summaries, like, what’s happening across the org, so…
28 00:01:59.560 ⇒ 00:02:00.360 Samuel Roberts: Right.
29 00:02:01.800 ⇒ 00:02:04.850 Casie Aviles: If they have, like, other needs or other questions, like.
30 00:02:05.330 ⇒ 00:02:15.239 Casie Aviles: what needs my attention, or something that’s probably more actionable, then I guess we need to kind of think of… think of a taxonomy, I guess.
31 00:02:16.870 ⇒ 00:02:19.760 Casie Aviles: But yeah, that’s just some of my ideas.
32 00:02:21.840 ⇒ 00:02:22.750 Samuel Roberts: Hippen off.
33 00:02:24.950 ⇒ 00:02:30.050 Pranav Narahari: Hey guys, Casey, we were just talking about, kind of, the theme… Generation.
34 00:02:30.050 ⇒ 00:02:31.089 Casie Aviles: Oh, yeah.
35 00:02:31.090 ⇒ 00:02:37.070 Pranav Narahari: Okay, gotcha. And so, yeah, you were saying right now, mostly just…
36 00:02:37.800 ⇒ 00:02:40.649 Pranav Narahari: It’s basically turning out to just be, like, summaries.
37 00:02:44.140 ⇒ 00:02:47.509 Casie Aviles: So, yeah, it’s more of, like, a topic summary.
38 00:02:47.630 ⇒ 00:02:50.580 Casie Aviles: Yeah, let me quickly share.
39 00:02:50.900 ⇒ 00:02:53.490 Casie Aviles: As well, so it’s more visual.
40 00:02:58.970 ⇒ 00:03:05.510 Casie Aviles: Okay, so I have this ticket. Let me know if you guys aren’t seeing it, but I have this, thread with…
41 00:03:06.630 ⇒ 00:03:08.449 Casie Aviles: Oh, oops, I got logged out, but…
42 00:03:08.900 ⇒ 00:03:13.179 Casie Aviles: Essentially, I just found this first pass teams, so I have 5…
43 00:03:13.650 ⇒ 00:03:19.570 Casie Aviles: But these are primarily just about, like, what’s happening across the org.
44 00:03:21.410 ⇒ 00:03:22.040 Pranav Narahari: Yeah.
45 00:03:22.040 ⇒ 00:03:25.190 Casie Aviles: So… that’s what I have right now, but…
46 00:03:25.750 ⇒ 00:03:28.089 Casie Aviles: I think what, what…
47 00:03:28.400 ⇒ 00:03:31.939 Casie Aviles: We can do as well is, like…
48 00:03:32.560 ⇒ 00:03:42.780 Casie Aviles: understand, like, what the report should do for the COO. So, if they just want to know, like, what’s happening, then I guess something like this should be fine, although this would be, like.
49 00:03:43.240 ⇒ 00:03:48.089 Casie Aviles: different, likely different every week, right? So, there may be different…
50 00:03:48.760 ⇒ 00:03:52.250 Casie Aviles: Summaries like this, or topic summaries.
51 00:03:52.440 ⇒ 00:03:54.559 Casie Aviles: But if there are questions… yeah.
52 00:03:55.200 ⇒ 00:03:57.999 Pranav Narahari: Sorry, yeah, I was just gonna say that…
53 00:03:58.650 ⇒ 00:04:18.239 Pranav Narahari: This is actually great. I don’t think… I think this would actually be super useful as well, just to see, like, week over week, how are things progressing? And so the idea overall was… would be like, hey, yeah, we have this report, let’s save it, let’s see how it compares to the report that’s generated the next Friday, for example. However, I think what would…
54 00:04:18.329 ⇒ 00:04:30.270 Pranav Narahari: what Danny has said that is, something that’s super useful for him is to just get an understanding of what are the bottlenecks currently across all projects.
55 00:04:30.840 ⇒ 00:04:32.260 Pranav Narahari: And so…
56 00:04:32.960 ⇒ 00:04:43.300 Pranav Narahari: I don’t know, I don’t… I thought we defined that somewhere in, like, a linear ticket, or maybe in, like, a Notion doc. But yeah, if you haven’t seen any reference of, like.
57 00:04:43.630 ⇒ 00:04:48.069 Pranav Narahari: bottlenecks or anything, then I can try to dig up that or write something.
58 00:04:48.070 ⇒ 00:04:55.390 Casie Aviles: Yeah, I do remember seeing that, but when I was checking the repo right now, I think…
59 00:04:56.240 ⇒ 00:05:01.590 Casie Aviles: the AI wasn’t able to pick it up, so I was wondering… If…
60 00:05:01.980 ⇒ 00:05:06.649 Casie Aviles: I just wrongly remembered it, or if that actually existed.
61 00:05:07.200 ⇒ 00:05:10.229 Pranav Narahari: Yeah, no, it should exist,
62 00:05:10.710 ⇒ 00:05:16.850 Pranav Narahari: What is that bandwidth and friction, like, for Milestone 6? Bandwidth and friction signals report?
63 00:05:18.900 ⇒ 00:05:20.060 Casie Aviles: Oh, okay.
64 00:05:20.170 ⇒ 00:05:21.620 Casie Aviles: bandwidth and so…
65 00:05:31.420 ⇒ 00:05:32.300 Pranav Narahari: Yeah.
66 00:05:32.410 ⇒ 00:05:37.970 Pranav Narahari: basically just kind of the three things that were just mentioned up there. So, like… .
67 00:05:37.970 ⇒ 00:05:38.930 Casie Aviles: Oh, okay.
68 00:05:39.160 ⇒ 00:05:39.980 Pranav Narahari: Yeah.
69 00:05:40.580 ⇒ 00:05:47.169 Pranav Narahari: So, like, talk to task is basically how, like, the amount of meetings, the amount of, like.
70 00:05:47.280 ⇒ 00:05:51.960 Pranav Narahari: communications that are happening, to just…
71 00:05:52.150 ⇒ 00:05:58.759 Pranav Narahari: exchange information before actually building anything, how much of that is happening? So…
72 00:05:58.860 ⇒ 00:06:05.930 Pranav Narahari: I mean, I think you probably built out, if you were able to generate the summaries, it’s probably just another level of prompting.
73 00:06:06.550 ⇒ 00:06:08.610 Pranav Narahari: to… get the…
74 00:06:08.610 ⇒ 00:06:09.160 Casie Aviles: What?
75 00:06:09.160 ⇒ 00:06:18.890 Pranav Narahari: specifics of those… for, like, specifics of bottlenecks, you know, friction indicators, things like that, right? Or do you think this is, like, a totally different ask?
76 00:06:20.980 ⇒ 00:06:29.720 Casie Aviles: I think we can definitely just start with prompting first, and then we can build on top of that if we need to, but yeah, that should be good.
77 00:06:30.150 ⇒ 00:06:31.370 Pranav Narahari: Yeah, okay, cool.
78 00:06:32.640 ⇒ 00:06:33.440 Pranav Narahari: Okay.
79 00:06:33.720 ⇒ 00:06:34.819 Pranav Narahari: Sounds good.
80 00:06:37.980 ⇒ 00:06:45.439 Casie Aviles: I guess what… my last question is more on the technical side. So the report will just be, like, a…
81 00:06:46.260 ⇒ 00:06:52.950 Casie Aviles: Like, you guys mentioned, the deterministic, so that would be sent out similar to, like, just the daily memos we’re sending.
82 00:06:56.960 ⇒ 00:06:57.280 Pranav Narahari: That would be…
83 00:06:57.280 ⇒ 00:07:01.360 Casie Aviles: for, like, ABC, for example, like, something like that, right?
84 00:07:02.930 ⇒ 00:07:05.849 Pranav Narahari: Yeah, I think deterministic in just that…
85 00:07:06.810 ⇒ 00:07:24.979 Pranav Narahari: we don’t want to specify, like, okay, always look into these projects, because, you know, projects are going to be ever-changing, and I don’t think it’ll capture everything going on in the organization that way. I was saying, just, like, deterministic, maybe, in, like, the format.
86 00:07:25.240 ⇒ 00:07:25.800 Pranav Narahari: Okay.
87 00:07:25.800 ⇒ 00:07:26.500 Casie Aviles: Yeah, okay.
88 00:07:26.500 ⇒ 00:07:37.060 Pranav Narahari: going to be something that is automated and generated week over week. There should probably be a section of assessing, okay, these are blockers that we noticed last week, have we noticed improvements or declined?
89 00:07:37.060 ⇒ 00:07:37.740 Samuel Roberts: Yeah.
90 00:07:37.740 ⇒ 00:07:41.870 Pranav Narahari: Just, like, simple things like that, hmm.
91 00:07:42.940 ⇒ 00:07:49.479 Pranav Narahari: But other than that, I think it’s basically what you did here, like, creating summaries,
92 00:07:49.640 ⇒ 00:07:53.969 Pranav Narahari: Just kind of creating sections for the individual…
93 00:07:54.150 ⇒ 00:07:57.009 Pranav Narahari: individual portions of the report, and those…
94 00:07:57.950 ⇒ 00:08:05.680 Pranav Narahari: I think there’d probably be, like, those 3… 3 things that was just mentioned in Milestone 6. Like, the bandwidth, friction… Yeah.
95 00:08:06.340 ⇒ 00:08:09.739 Pranav Narahari: you know, those are gonna be some three questions, and let the AI just kind of, like.
96 00:08:10.490 ⇒ 00:08:16.050 Pranav Narahari: With that information, find relevant data within the Eden org.
97 00:08:18.280 ⇒ 00:08:18.930 Casie Aviles: Okay.
98 00:08:19.470 ⇒ 00:08:20.000 Pranav Narahari: No.
99 00:08:20.560 ⇒ 00:08:21.679 Pranav Narahari: Does that kind of…
100 00:08:22.300 ⇒ 00:08:33.659 Pranav Narahari: Let me know if that’s, like, not clear, like, we can work that out a little bit more. I think that’s probably enough to kind of just get an initial POC, and then we can kind of work to refine that going forward.
101 00:08:35.080 ⇒ 00:08:37.480 Casie Aviles: Okay. Yeah, that makes sense.
102 00:08:40.439 ⇒ 00:08:43.439 Pranav Narahari: Okay, cool. How about on…
103 00:08:43.579 ⇒ 00:08:48.189 Pranav Narahari: For Mustafa on the other Eden stuff that you’re working on?
104 00:08:48.740 ⇒ 00:08:53.590 Mustafa Raja: So… I have done the,
105 00:08:54.540 ⇒ 00:09:12.569 Mustafa Raja: backfill for all of the participants that are in the roster, and then, there were some, failures, so I’m taking a look at that, and then, the next step is going to be setting up a scheduler in GCP, so we can run it on a schedule.
106 00:09:13.520 ⇒ 00:09:17.409 Mustafa Raja: Every day. So, let me know what’s a good SLA for this, you know?
107 00:09:17.640 ⇒ 00:09:19.479 Mustafa Raja: Is one today good enough?
108 00:09:19.840 ⇒ 00:09:21.290 Pranav Narahari: Yeah, once a day is good.
109 00:09:22.020 ⇒ 00:09:26.879 Mustafa Raja: Okay, so I’ll run it on the start of the day, if that’s fine.
110 00:09:27.240 ⇒ 00:09:30.040 Samuel Roberts: I would do it, like, middle of the night, maybe, for…
111 00:09:30.500 ⇒ 00:09:34.110 Samuel Roberts: That way we get, like, all the previous day’s stuff, and it’s all in there.
112 00:09:34.340 ⇒ 00:09:34.900 Pranav Narahari: That works.
113 00:09:35.290 ⇒ 00:09:37.110 Mustafa Raja: That makes sense. Yeah.
114 00:09:37.110 ⇒ 00:09:38.200 Samuel Roberts: There, yeah.
115 00:09:38.350 ⇒ 00:09:38.870 Pranav Narahari: Yeah.
116 00:09:40.440 ⇒ 00:09:44.290 Pranav Narahari: Like, midnight mountain time, or 2 a.m. Mountain Time?
117 00:09:44.290 ⇒ 00:09:45.050 Samuel Roberts: Yeah, something like that.
118 00:09:45.050 ⇒ 00:09:45.560 Mustafa Raja: Certain time.
119 00:09:47.980 ⇒ 00:09:51.770 Pranav Narahari: Mountain Time is 1 hour behind Central.
120 00:09:52.400 ⇒ 00:09:56.330 Mustafa Raja: Okay, yeah, okay, yeah, I can do that. Yeah, but plus 7 or something.
121 00:09:57.050 ⇒ 00:10:01.639 Mustafa Raja: Yeah, and then Cloud Run was facing some issues,
122 00:10:01.880 ⇒ 00:10:10.040 Mustafa Raja: I fixed that, and then, a co-pilot kit, wasn’t working as expected. It’s now fine.
123 00:10:10.420 ⇒ 00:10:11.010 Pranav Narahari: Cool.
124 00:10:12.250 ⇒ 00:10:14.119 Mustafa Raja: That’s pretty much it.
125 00:10:15.270 ⇒ 00:10:18.490 Mustafa Raja: So I’m close to setting up the schedule.
126 00:10:20.040 ⇒ 00:10:21.230 Pranav Narahari: Okay, cool.
127 00:10:22.750 ⇒ 00:10:29.240 Samuel Roberts: Cool, yeah, transcripts, after…
128 00:10:30.150 ⇒ 00:10:33.089 Mustafa Raja: Yeah, I said, let me know if there’s anything else after that.
129 00:10:34.800 ⇒ 00:10:39.430 Pranav Narahari: Yeah, I think that’s good for right now. Just, let us know when those are done.
130 00:10:39.430 ⇒ 00:10:40.000 Samuel Roberts: Yeah.
131 00:10:40.320 ⇒ 00:10:40.870 Pranav Narahari: Yeah.
132 00:10:41.760 ⇒ 00:10:42.950 Pranav Narahari: And then, yes, I’m sure.
133 00:10:43.760 ⇒ 00:10:55.410 Mustafa Raja: I’m logging my time, so is this… is this going to be the same as the other Eden in Clockify? Like, is it the same project, or something else?
134 00:10:55.410 ⇒ 00:10:56.959 Samuel Roberts: This is an Eden AI project.
135 00:10:56.960 ⇒ 00:10:57.450 Pranav Narahari: Yeah.
136 00:10:57.590 ⇒ 00:11:03.290 Mustafa Raja: Let me see if I am in that, then. Because I’ve been logging in regularly.
137 00:11:03.520 ⇒ 00:11:10.060 Samuel Roberts: Oh, yeah, definitely update that if you… if you don’t have it, definitely get, put a request into ops, and then update those.
138 00:11:11.240 ⇒ 00:11:14.669 Mustafa Raja: Yeah, I’ve been adding it in the evening hours.
139 00:11:16.940 ⇒ 00:11:18.570 Samuel Roberts: Especially by the end of the month.
140 00:11:19.260 ⇒ 00:11:23.620 Mustafa Raja: Oh, yeah, I’m only needing health. Okay, I’ll request health.
141 00:11:23.890 ⇒ 00:11:24.460 Samuel Roberts: Okay.
142 00:11:25.340 ⇒ 00:11:25.840 Mustafa Raja: Thank you.
143 00:11:25.840 ⇒ 00:11:27.039 Samuel Roberts: Good catch, good catch.
144 00:11:29.670 ⇒ 00:11:38.739 Samuel Roberts: Yeah, transcripts, I spent a little while trying to figure out if they were able to do tags for any of those cancellations, and I wasn’t able to find anything with the API.
145 00:11:39.050 ⇒ 00:11:44.780 Samuel Roberts: But, I was able to pull the window ones. There’s not a ton of those, so it was kind of easy to…
146 00:11:44.930 ⇒ 00:11:46.669 Samuel Roberts: To pull… er, quick to pull down.
147 00:11:46.820 ⇒ 00:11:48.170 Samuel Roberts: I’m…
148 00:11:48.440 ⇒ 00:11:56.050 Samuel Roberts: I did, like, a quick pass of finding some of the cancellation ones, but my next step is to actually put together, like, a… an agent that will actually just systematically
149 00:11:56.280 ⇒ 00:12:12.710 Samuel Roberts: analyze the transcript. Like, I gotta fetch the… you know, metadata, fetch the transcript, compile the transcript, pass that through an agent, analyze if that’s a cancellation. So I did kind of the basic work to make sure that that is feasible, and now I’m gonna start putting together, like.
150 00:12:12.730 ⇒ 00:12:24.569 Samuel Roberts: a master agent, and probably, like, a little UI to see it, which ones are cancellations in the last 14 days, stuff like that. So, hopefully… I mean, not hopefully, it will be able to be adjusted for the…
151 00:12:24.570 ⇒ 00:12:33.089 Samuel Roberts: different queues, I think, is probably the best way to do it. And then when we need to add more, we can just change that and have it, like, rerun.
152 00:12:33.350 ⇒ 00:12:33.880 Samuel Roberts: So…
153 00:12:34.410 ⇒ 00:12:37.419 Pranav Narahari: Yeah, that’s why I’m not too concerned that we don’t know exactly which…
154 00:12:37.700 ⇒ 00:12:38.710 Samuel Roberts: Yeah.
155 00:12:38.840 ⇒ 00:12:42.710 Pranav Narahari: Because it’s as simple as probably just updating an environment variable.
156 00:12:42.710 ⇒ 00:13:00.500 Samuel Roberts: Yeah, yeah, so I mean, the other side of this is, like, we could just be ingesting them all, and putting them into BQ, and then analyzing all that later, but that seems like a lot of work for what we’re getting out of it right now. So I feel like that’s, you know, I don’t want to over-optimize kind of thing. I think this is a good plan for now.
157 00:13:00.760 ⇒ 00:13:02.550 Pranav Narahari: Exactly. Yep. Cool. Cool.
158 00:13:02.670 ⇒ 00:13:03.450 Samuel Roberts: Okay.
159 00:13:04.200 ⇒ 00:13:11.340 Pranav Narahari: Awesome. Sounds like we’re in a pretty good spot. Yeah, so Casey, Sam, you guys are gonna be out tomorrow.
160 00:13:12.880 ⇒ 00:13:21.499 Pranav Narahari: Tomorrow for Eden is what I’m probably most concerned about. Even that, I don’t think the call’s gonna end up happening.
161 00:13:21.650 ⇒ 00:13:27.639 Pranav Narahari: Yeah, actually, Caitlin just messaged me, it is not going to be happening. Okay,
162 00:13:27.970 ⇒ 00:13:33.780 Pranav Narahari: So… I’m not too concerned. Yeah, I think we’re in a pretty good spot.
163 00:13:34.780 ⇒ 00:13:41.820 Pranav Narahari: if anything, you know, I’ll be around, too, so I can, help. We can figure something out together, Mustaf and I.
164 00:13:42.370 ⇒ 00:13:54.509 Samuel Roberts: Yeah, I would say, take a look at the dev deployment, now that Mustafa’s got that working, and just, you know, that’s something you can demo or record, or, you know, it’s got the compare, the Eden dash compare.
165 00:13:54.680 ⇒ 00:13:58.629 Samuel Roberts: And the Eden is the co-pilot one, so there’s two URLs there.
166 00:13:58.870 ⇒ 00:14:05.849 Mustafa Raja: Yeah, I’m also wondering if you want to, you know, push it to QA or even main?
167 00:14:06.250 ⇒ 00:14:09.580 Mustafa Raja: You know, when is a good time to do that, you know?
168 00:14:13.580 ⇒ 00:14:15.439 Samuel Roberts: Maybe we can do that, exactly.
169 00:14:15.610 ⇒ 00:14:16.220 Pranav Narahari: I would say…
170 00:14:16.220 ⇒ 00:14:21.999 Samuel Roberts: I wouldn’t worry about it too much until there’s some more testing in dev, maybe. Yeah. But I think it’s…
171 00:14:22.920 ⇒ 00:14:36.289 Pranav Narahari: Yeah, so I totally agree. And Sam, for ABC, if you could actually just, do a quick, like, Zoom clip again for, just, like, the transcript stuff, just kind of showing,
172 00:14:37.520 ⇒ 00:14:41.580 Pranav Narahari: Maybe, actually, what we can do is,
173 00:14:41.880 ⇒ 00:15:00.150 Pranav Narahari: is there any type of showcase that we can do there that I… like, for showing this tomorrow to the client? I just want to show them, like, how we’ve kind of thought about things in terms of ingesting the transcripts, and then finally, like, making them, like, differentiate between, like, canceled or not canceled content.
174 00:15:00.150 ⇒ 00:15:00.770 Samuel Roberts: Yeah.
175 00:15:00.770 ⇒ 00:15:01.260 Pranav Narahari: And then…
176 00:15:01.260 ⇒ 00:15:01.650 Samuel Roberts: I’m…
177 00:15:01.650 ⇒ 00:15:07.010 Pranav Narahari: I don’t know if you’ve gotten also to the point of, like, putting them into individual buckets for why they’ve been canceled.
178 00:15:07.540 ⇒ 00:15:22.490 Samuel Roberts: No, no, not yet. There were literally, like, 10 that it identified as cancellations for those ones, so I… it wasn’t, like, I didn’t dive too deep into that yet. I figured that would be after I… because some of them were, like, false positives and false negatives, so I’m trying to… I want to get it a little better than just dumping it into…
179 00:15:22.720 ⇒ 00:15:23.470 Samuel Roberts: Open code.
180 00:15:23.910 ⇒ 00:15:33.410 Pranav Narahari: So, I guess, actually, the main thing, we don’t really even need a video, because I just want to be able to talk about it tomorrow. Seems like whatever video you make, it’d be kind of too technical for them anyways.
181 00:15:33.410 ⇒ 00:15:38.249 Samuel Roberts: That’s one of the reasons I was hoping to put together, like, some little UI that you could just kind of see and visualize it, which.
182 00:15:38.250 ⇒ 00:15:44.649 Pranav Narahari: It wouldn’t be that useful for them right now, to be honest. Like, I don’t want to waste your time on that.
183 00:15:44.650 ⇒ 00:15:51.379 Samuel Roberts: Well, I think it’s actually going to be kind of helpful for me managing some of the stuff, because I’m getting lots of scripts and everything, and I just need something a little more, you know…
184 00:15:51.380 ⇒ 00:15:53.400 Pranav Narahari: That’s a good thing, yeah, that makes sense.
185 00:15:53.400 ⇒ 00:15:59.750 Samuel Roberts: But that’s what I was gonna say, is I might not get to, like, a good recording point yet, but I’ll make sure to have, like, a report, at least.
186 00:16:00.280 ⇒ 00:16:15.969 Pranav Narahari: Yeah, I was gonna say, I don’t even think you need to generate anything. I think I just want to know where we’re currently at, which I think I understand, is, you know, we’re able to ingest them, we haven’t built it to be automated, you know, on a weekly or daily cadence. However,
187 00:16:15.970 ⇒ 00:16:20.350 Pranav Narahari: We’ve ingested based on this specific tag, which is, Windows, currently.
188 00:16:20.350 ⇒ 00:16:22.630 Samuel Roberts: Yeah, the queue, it’s a queue, specifically.
189 00:16:22.630 ⇒ 00:16:24.560 Pranav Narahari: Oh, it’s not a tag, it’s a queue, okay.
190 00:16:24.560 ⇒ 00:16:35.129 Samuel Roberts: Yeah, I was having issues with tags, I’m not even sure what I’m getting right now that are tags, but the queue list that I sent you was something that Yvette had shared a while back that did match up to 8x8.
191 00:16:35.130 ⇒ 00:16:38.449 Pranav Narahari: Yeah, in Nicole, basically what I’m gonna do is, like.
192 00:16:38.670 ⇒ 00:16:45.359 Pranav Narahari: Yvette is gonna pull up 8x8, she’s gonna show me the queue list, and then she’s gonna basically point me to either a different
193 00:16:45.580 ⇒ 00:16:47.999 Pranav Narahari: Tag, or a different,
194 00:16:48.520 ⇒ 00:16:50.750 Pranav Narahari: like, enum in there, I guess?
195 00:16:50.760 ⇒ 00:17:02.469 Pranav Narahari: Or she’s going to point me to, hey, we don’t follow queues, actually, we want to follow, like, tags, and then, in which case, we’ll do something next week to sort out how can we pull a transcript based on that.
196 00:17:02.470 ⇒ 00:17:15.939 Pranav Narahari: And then, you know, I’ll also get information from her based on, like, okay, so this is what we were able to find, like, and we already built out the process for differentiating canceled versus non-canceled transcripts. What are the individual buckets within canceled now?
197 00:17:16.099 ⇒ 00:17:25.269 Pranav Narahari: Right. That you want us to, like, further filter each of these transcripts into. And, yeah, so I think that’s all I need. I just wanted to make sure, like,
198 00:17:25.650 ⇒ 00:17:27.050 Pranav Narahari: That sounds right to you.
199 00:17:27.680 ⇒ 00:17:37.590 Samuel Roberts: Yeah, yeah, it does. I think, yeah, the queues that you talked about before, I think it’s, like, where it gets routed, basically. So that should be, like, relatively department-specific, I think.
200 00:17:38.580 ⇒ 00:17:48.259 Samuel Roberts: I just… it didn’t quite map to, like, home improvement or home whatever for washing and stuff, so I just… a little clarification there, and then whichever ones they want us to dig into would be good.
201 00:17:48.260 ⇒ 00:17:49.060 Pranav Narahari: From that.
202 00:17:49.220 ⇒ 00:17:50.669 Samuel Roberts: I think, yeah, I think it’s perfect.
203 00:17:52.750 ⇒ 00:17:53.110 Pranav Narahari: Cool.
204 00:17:53.110 ⇒ 00:17:53.650 Samuel Roberts: Boop.
205 00:17:54.160 ⇒ 00:17:56.520 Pranav Narahari: Awesome, guys, I think we’re… I think we’re good to go, then.
206 00:17:56.800 ⇒ 00:17:57.650 Samuel Roberts: Alrighty.
207 00:17:58.200 ⇒ 00:17:59.060 Samuel Roberts: Thanks, Bill.
208 00:17:59.740 ⇒ 00:18:01.820 Pranav Narahari: Thanks, guys. Talk soon.
209 00:18:01.820 ⇒ 00:18:02.520 Casie Aviles: Thank you.