Meeting Title: Daily AI Team Sync Date: 2025-01-22 Meeting participants: Uttam Kumaran, Miguel De Veyra, Casie Aviles, Connor Fenn
WEBVTT
1 00:01:31.760 ⇒ 00:01:32.640 Miguel de Veyra: Here we go!
2 00:01:36.700 ⇒ 00:01:37.560 Casie Aviles: Yep. Hello!
3 00:01:39.170 ⇒ 00:01:41.479 Miguel de Veyra: Back and forth.
4 00:01:43.080 ⇒ 00:01:46.529 Casie Aviles: Yeah, my European bugs and Ethan.
5 00:01:56.150 ⇒ 00:01:57.010 Uttam Kumaran: Hi guys.
6 00:01:57.230 ⇒ 00:01:58.070 Miguel de Veyra: Hey? You? Too.
7 00:01:58.460 ⇒ 00:01:59.250 Uttam Kumaran: Hey?
8 00:02:00.920 ⇒ 00:02:03.189 Uttam Kumaran: How’s it going? How’s yesterday?
9 00:02:04.080 ⇒ 00:02:09.769 Miguel de Veyra: Yeah, it was. It was, okay. We’re finally, I mean, the the ticket here is working. So.
10 00:02:11.670 ⇒ 00:02:13.740 Uttam Kumaran: I could tell. It’s frustrating.
11 00:02:14.850 ⇒ 00:02:20.000 Miguel de Veyra: Yeah the the only thing I I couldn’t able. I I couldn’t, you know.
12 00:02:20.540 ⇒ 00:02:26.110 Miguel de Veyra: Alright, Gordon, properly get to work is like the back and forth between, like.
13 00:02:26.110 ⇒ 00:02:26.730 Uttam Kumaran: Okay.
14 00:02:27.160 ⇒ 00:02:27.900 Miguel de Veyra: Cause.
15 00:02:28.050 ⇒ 00:02:32.010 Miguel de Veyra: Remember, there’s no threading. So the agent hallucinates.
16 00:02:33.060 ⇒ 00:02:35.210 Uttam Kumaran: When you tag it again.
17 00:02:35.520 ⇒ 00:02:44.130 Miguel de Veyra: So I was like, Yeah, let’s cause as currently Casey’s exploring the the SDK, so maybe there’s a way there. But I’m not very helpful.
18 00:02:44.720 ⇒ 00:02:49.060 Miguel de Veyra: But the ticketing works I just have, like some final questions regarding it.
19 00:02:50.850 ⇒ 00:02:56.420 Uttam Kumaran: Okay, yeah. So I know in Nan,
20 00:02:57.390 ⇒ 00:03:00.629 Uttam Kumaran: I know there’s like a you can actually send as a
21 00:03:00.750 ⇒ 00:03:09.440 Uttam Kumaran: reply. But yeah, I don’t know exactly how how the slack threads work.
22 00:03:10.020 ⇒ 00:03:15.419 Uttam Kumaran: We may have to build our own thing or something, but it’s fine.
23 00:03:15.700 ⇒ 00:03:18.349 Miguel de Veyra: Yeah, at least at least for now.
24 00:03:19.023 ⇒ 00:03:24.870 Miguel de Veyra: Yeah. The other thing I I have a question for is like this is only gonna be
25 00:03:25.090 ⇒ 00:03:27.390 Miguel de Veyra: for AI or data, right?
26 00:03:29.530 ⇒ 00:03:37.749 Uttam Kumaran: Yeah, I mean, I think we should just try with the AI team stuff and the data. Yeah, ideally. But I I’m gonna use it on the on the entire company.
27 00:03:39.880 ⇒ 00:03:50.039 Uttam Kumaran: because operations operations has a task board design as a task board content as a dashboard sales doesn’t have one yet. But AI and data do.
28 00:03:51.352 ⇒ 00:03:52.859 Miguel de Veyra: Okay. Okay. Cause.
29 00:03:52.860 ⇒ 00:03:57.339 Uttam Kumaran: That’s why I want to just make sure, like it works for one before we sort of sync it up.
30 00:03:57.840 ⇒ 00:04:04.110 Miguel de Veyra: Okay, yeah, is it like, is the template for everything basically the same or not really.
31 00:04:05.976 ⇒ 00:04:11.990 Uttam Kumaran: Not really. But again, like, let’s just nail 17.
32 00:04:11.990 ⇒ 00:04:13.220 Miguel de Veyra: Okay. Okay. Okay.
33 00:04:13.220 ⇒ 00:04:18.390 Uttam Kumaran: And then we’ll figure out how to scale this up. It’s similar to the
34 00:04:18.800 ⇒ 00:04:26.280 Uttam Kumaran: it’s similar to the to the meeting agent. Right? Like we want to start one team. And then we’ll basically figure out, okay for each team. How do we build a scalable sort of
35 00:04:26.470 ⇒ 00:04:27.550 Uttam Kumaran: system.
36 00:04:27.840 ⇒ 00:04:29.199 Miguel de Veyra: Okay, yeah, that makes sense.
37 00:04:29.466 ⇒ 00:04:33.460 Uttam Kumaran: So let’s get it. Once we get it going, I can ask some people for
38 00:04:33.700 ⇒ 00:04:36.330 Uttam Kumaran: for help on how to do the slack threading.
39 00:04:36.810 ⇒ 00:04:37.780 Miguel de Veyra: Okay? Sure? Sure.
40 00:04:38.820 ⇒ 00:04:45.300 Miguel de Veyra: Yeah. After this call I’ll use the transcript of this call to finalize it. Then I think.
41 00:04:45.300 ⇒ 00:04:47.999 Uttam Kumaran: So that so so does it
42 00:04:49.180 ⇒ 00:04:58.540 Uttam Kumaran: like, does it automatically create it? Or does it? Ask you? But first, st before creating the tickets, or what? What’s the process? Because I don’t want it to create.
43 00:04:59.650 ⇒ 00:05:09.549 Uttam Kumaran: Like every sometimes we have things that we talk about that don’t require a ticket. So I want it to be like, very careful initially, before we get it 100 right.
44 00:05:10.670 ⇒ 00:05:11.510 Miguel de Veyra: Yeah, that’s
45 00:05:11.660 ⇒ 00:05:19.850 Miguel de Veyra: that. That was the one that’s the thing I did yesterday, where it has to clarify 1st before creating. But that requires the threading.
46 00:05:21.190 ⇒ 00:05:22.470 Uttam Kumaran: Oh, okay.
47 00:05:24.350 ⇒ 00:05:30.170 Miguel de Veyra: So, you know, if I can get one to work, at least get the main feature to work. Just so we have something to play around with.
48 00:05:30.630 ⇒ 00:05:31.450 Uttam Kumaran: Okay.
49 00:05:31.450 ⇒ 00:05:35.990 Miguel de Veyra: I mean, I can get the threading done, but I have to do it on the demo website.
50 00:05:37.150 ⇒ 00:05:37.750 Uttam Kumaran: Okay.
51 00:05:48.290 ⇒ 00:05:49.160 Miguel de Veyra: Oh, yeah.
52 00:05:51.430 ⇒ 00:05:53.379 Casie Aviles: Oh, you mean like it won’t be on slack.
53 00:05:54.040 ⇒ 00:05:55.540 Miguel de Veyra: Yeah, yeah, that’s the thing.
54 00:05:59.590 ⇒ 00:06:05.500 Uttam Kumaran: Do you wanna do you want? I mean, I think it’d be nice to spend some time like I can maybe look at it. We could pair on it today.
55 00:06:05.920 ⇒ 00:06:06.800 Miguel de Veyra: Okay. Sure.
56 00:06:07.080 ⇒ 00:06:12.289 Uttam Kumaran: What do you think cause I feel like? Probably if we spend an hour, I can help just close out.
57 00:06:13.460 ⇒ 00:06:14.390 Miguel de Veyra: Okay. Sure. Sure.
58 00:06:14.700 ⇒ 00:06:18.469 Uttam Kumaran: Okay, okay, let’s do that. I’ll put some time on.
59 00:06:25.090 ⇒ 00:06:28.830 Uttam Kumaran: Okay. And then how about Casey? How about your side?
60 00:06:30.200 ⇒ 00:06:35.159 Casie Aviles: Yeah. So for the Zoom Meeting summarizer that I’ve mentioned that
61 00:06:35.510 ⇒ 00:06:40.400 Casie Aviles: I’ve set it up for 3 channels. So that’s going to be the AI team
62 00:06:40.890 ⇒ 00:06:46.090 Casie Aviles: so ideally our this meeting should be sent there it should be a thread.
63 00:06:46.560 ⇒ 00:06:51.919 Casie Aviles: and then the next one would be for the marketing team. So
64 00:06:52.758 ⇒ 00:06:59.130 Casie Aviles: at least for the weekly design meetings. They should get it there on the Channel. The website Social design channel.
65 00:06:59.380 ⇒ 00:07:00.060 Uttam Kumaran: Okay.
66 00:07:00.870 ⇒ 00:07:05.170 Casie Aviles: Yeah. And then the next one is for sales. So
67 00:07:06.086 ⇒ 00:07:12.500 Casie Aviles: I think you have daily sales sync, and also the client I I mean lead meetings. So
68 00:07:12.950 ⇒ 00:07:18.449 Casie Aviles: yeah, it should go there. Th, those are the ones that those are for the meetings that I’ve tested. So
69 00:07:18.810 ⇒ 00:07:27.259 Casie Aviles: I guess there should, there could be other meetings that may may still fall under the general, since I I kind of used it as a fallback.
70 00:07:27.680 ⇒ 00:07:32.930 Uttam Kumaran: Okay, I’ll just. I’ll keep looking at the general ones. And I can tell you when they need to be classified.
71 00:07:33.100 ⇒ 00:07:38.850 Uttam Kumaran: So how is the classification happening. It’s it’s like just looking at the contents of the meeting and then choosing.
72 00:07:40.426 ⇒ 00:07:44.949 Casie Aviles: Yes, and I also like provided a prompt to help it like
73 00:07:45.050 ⇒ 00:07:49.500 Casie Aviles: categorized. So I told them that I told the bot basically that
74 00:07:50.960 ⇒ 00:07:58.319 Casie Aviles: I gave the context of the team context. So it knows who is under what team, what their role is.
75 00:07:58.770 ⇒ 00:08:03.089 Casie Aviles: And then, yeah, I gave some some instructions on
76 00:08:03.340 ⇒ 00:08:06.230 Casie Aviles: yeah, like, for example, for the AI team. If
77 00:08:06.460 ⇒ 00:08:13.039 Casie Aviles: if we’re discussing tasks, then it’s going to be an AI team task review meeting. So yeah.
78 00:08:13.650 ⇒ 00:08:21.670 Uttam Kumaran: Okay, okay, perfect. Yeah. Today, we just have, we have one sales meeting in the afternoon. And we have this
79 00:08:22.030 ⇒ 00:08:25.100 Uttam Kumaran: daily AI meeting. And then we have a data meeting later.
80 00:08:25.520 ⇒ 00:08:26.669 Uttam Kumaran: So let’s see.
81 00:08:28.200 ⇒ 00:08:36.729 Casie Aviles: Yeah. And yeah, I guess also, the the other one is for the operations side. Because, yeah, apparently it’s nicos, the host and
82 00:08:37.370 ⇒ 00:08:41.569 Casie Aviles: the trigger that I set wasn’t was just getting all the meetings from you. So
83 00:08:41.830 ⇒ 00:08:45.429 Casie Aviles: yeah, I’ll also be monitoring that.
84 00:08:46.100 ⇒ 00:08:46.680 Uttam Kumaran: Okay.
85 00:08:50.366 ⇒ 00:08:57.330 Casie Aviles: Yeah, I guess that’s it for the zoom agent the next one is just for the outreach
86 00:08:57.920 ⇒ 00:09:02.129 Casie Aviles: automation. And yeah, we, I think we managed to get the clay
87 00:09:02.330 ⇒ 00:09:11.039 Casie Aviles: part working. And yeah, actually, I, it’s I like that. It gets gets all the emails and the Linkedin Urls. And
88 00:09:12.040 ⇒ 00:09:13.420 Casie Aviles: yeah, it’s.
89 00:09:14.160 ⇒ 00:09:20.490 Casie Aviles: I guess it produced all the data that I needed, unlike with just Apollo just using Apollo. So.
90 00:09:20.940 ⇒ 00:09:21.260 Uttam Kumaran: Okay.
91 00:09:21.260 ⇒ 00:09:22.709 Casie Aviles: And there’s the advantage.
92 00:09:24.130 ⇒ 00:09:24.740 Uttam Kumaran: Okay.
93 00:09:30.880 ⇒ 00:09:34.330 Miguel de Veyra: And then how is it working with the Ericsson, with the clay integration.
94 00:09:35.890 ⇒ 00:09:37.389 Casie Aviles: Yeah, yeah, it was working
95 00:09:37.899 ⇒ 00:09:42.820 Casie Aviles: we test we were testing earlier. And he sent a bunch of I mean, I sent a bunch of
96 00:09:43.170 ⇒ 00:09:47.680 Casie Aviles: names and company names. And yeah, Clay returned.
97 00:09:47.830 ⇒ 00:09:52.680 Casie Aviles: like the enriched data. So I got the Linkedin Urls. And then also the emails.
98 00:09:52.780 ⇒ 00:09:54.300 Casie Aviles: So yeah, it’s working.
99 00:10:06.402 ⇒ 00:10:08.029 Uttam Kumaran: Give me one second guys. Hold on.
100 00:10:26.510 ⇒ 00:10:29.439 Uttam Kumaran: Sorry. Can you say one more time, Casey? Just the last part.
101 00:10:31.693 ⇒ 00:10:41.250 Casie Aviles: Yeah, I guess what I was trying to say is just that the clay was just I guess, better than using SIM, only Apollo. So
102 00:10:42.375 ⇒ 00:10:51.550 Casie Aviles: yeah, it’s working. Because I I sent like the company names and the names of the yeah, the people. And I got the enriched results back like their Linkedin urls and
103 00:10:52.700 ⇒ 00:10:59.500 Casie Aviles: their email. So I’m also kind of considering like, what if I also use it for the lead research agent.
104 00:10:59.500 ⇒ 00:11:02.237 Uttam Kumaran: Oh, yeah, no, that’s my point. Is that
105 00:11:02.950 ⇒ 00:11:07.259 Uttam Kumaran: I want us to use this anytime. We’re looking up an email. I want to use that process
106 00:11:07.460 ⇒ 00:11:11.990 Uttam Kumaran: cause. That’s the same. That’s basically the same process we’re using on outbound marketing.
107 00:11:12.540 ⇒ 00:11:24.540 Uttam Kumaran: And so ideally, like the waterfall means we’re basically we’re we’re hitting, like 10 different places to go look for the email. So I do think that you should use that anywhere. You’re looking up an email. You should use that service.
108 00:11:25.760 ⇒ 00:11:31.030 Casie Aviles: Yeah. Do you think I can get my? I can try like play? Do we have like a
109 00:11:32.100 ⇒ 00:11:33.700 Casie Aviles: is it on one pass?
110 00:11:34.241 ⇒ 00:11:35.649 Uttam Kumaran: Here, let me invite you.
111 00:11:50.730 ⇒ 00:11:56.680 Casie Aviles: Yeah, because I think if I’m just going to use Apollo, it’s gonna start becoming limited, like.
112 00:11:57.680 ⇒ 00:12:03.379 Uttam Kumaran: No, we should use this, I mean cause he also leverages Apollo, but he also uses, like several other things.
113 00:12:04.770 ⇒ 00:12:06.440 Casie Aviles: Yeah, yeah, that’s true.
114 00:12:07.180 ⇒ 00:12:07.840 Casie Aviles: That’s true.
115 00:12:08.680 ⇒ 00:12:10.140 Uttam Kumaran: Okay. I invited you.
116 00:12:12.270 ⇒ 00:12:12.890 Casie Aviles: Okay.
117 00:12:18.650 ⇒ 00:12:19.990 Casie Aviles: okay, I got it.
118 00:12:28.430 ⇒ 00:12:30.769 Uttam Kumaran: And then how’s this stuff? For?
119 00:12:31.050 ⇒ 00:12:33.830 Uttam Kumaran: I assume no further update on the stuff for Craig.
120 00:12:35.731 ⇒ 00:12:41.689 Casie Aviles: Yeah, it’s just yeah. Just that one with the one I’m working with with Ericsson to play stuff.
121 00:12:41.890 ⇒ 00:12:44.179 Uttam Kumaran: Oh, okay, okay, same. So basically, the same thing.
122 00:12:44.570 ⇒ 00:12:45.350 Casie Aviles: Yes.
123 00:12:45.350 ⇒ 00:12:48.290 Uttam Kumaran: Between this and the and the lead researcher. Okay.
124 00:12:51.200 ⇒ 00:12:54.115 Uttam Kumaran: okay, cool. So probably today we’ll close out.
125 00:12:55.040 ⇒ 00:12:58.569 Uttam Kumaran: hopefully, we’ll close out the notion tickets here.
126 00:12:59.190 ⇒ 00:13:02.530 Uttam Kumaran: and then we can kind of move on.
127 00:13:03.066 ⇒ 00:13:07.139 Uttam Kumaran: I think. Let me just double check the board.
128 00:13:07.480 ⇒ 00:13:09.609 Miguel de Veyra: Yeah. Question about the board with them.
129 00:13:09.610 ⇒ 00:13:10.230 Uttam Kumaran: Yeah.
130 00:13:10.430 ⇒ 00:13:12.038 Miguel de Veyra: What they call it. Sorry.
131 00:13:14.930 ⇒ 00:13:18.600 Miguel de Veyra: give me 1 min. Yeah, the case studies.
132 00:13:19.680 ⇒ 00:13:25.250 Miguel de Veyra: It was a page I remember it was being it was a it. It was like a table before, or a.
133 00:13:25.250 ⇒ 00:13:28.229 Uttam Kumaran: Yeah, I don’t know. I have to go find it. I don’t know.
134 00:13:28.230 ⇒ 00:13:29.810 Miguel de Veyra: I can’t find it. Yesterday.
135 00:13:29.810 ⇒ 00:13:35.080 Uttam Kumaran: I know I gotta go look because I feel like I thought we had a couple of other ones. But maybe I just made that up.
136 00:13:35.730 ⇒ 00:13:43.829 Miguel de Veyra: Yeah, cause I remember I saw one before, but I was like searching control. P. Because Marion taught me how, but I can’t find it anywhere. I was like, what the hell.
137 00:13:44.510 ⇒ 00:13:46.440 Uttam Kumaran: Yeah, I’ll have to look for it.
138 00:13:47.070 ⇒ 00:13:47.980 Miguel de Veyra: Okay. Okay.
139 00:13:57.960 ⇒ 00:13:59.630 Miguel de Veyra: What time would we hop on a call?
140 00:14:00.703 ⇒ 00:14:04.619 Uttam Kumaran: Like probably 1145 my time.
141 00:14:05.125 ⇒ 00:14:06.130 Miguel de Veyra: Am. Okay. Okay.
142 00:14:07.000 ⇒ 00:14:10.009 Uttam Kumaran: Yeah. So 1, 30, like 1, 45, your time.
143 00:14:10.170 ⇒ 00:14:11.669 Miguel de Veyra: Okay. Okay. Sure. No worries.
144 00:14:13.940 ⇒ 00:14:14.940 Uttam Kumaran: Let me.
145 00:14:21.060 ⇒ 00:14:23.129 Uttam Kumaran: Okay, let me. Just
146 00:14:27.850 ⇒ 00:14:31.530 Uttam Kumaran: okay. Look. So the zoom summarizer came for the sales call.
147 00:14:31.530 ⇒ 00:14:32.110 Miguel de Veyra: Yep.
148 00:14:32.770 ⇒ 00:14:34.680 Uttam Kumaran: Oh, it got sent. Okay. Perfect.
149 00:14:37.830 ⇒ 00:14:38.770 Miguel de Veyra: Looks nice.
150 00:14:39.040 ⇒ 00:14:40.648 Uttam Kumaran: Nice. Okay, I will.
151 00:14:41.430 ⇒ 00:14:46.880 Uttam Kumaran: I’m gonna make a couple of the nice thing about this. Now I can go in and make changes to the prompt.
152 00:14:47.110 ⇒ 00:14:47.820 Miguel de Veyra: Yeah.
153 00:14:47.820 ⇒ 00:14:50.510 Uttam Kumaran: And sort of a test out like how it looks.
154 00:14:50.830 ⇒ 00:14:53.030 Uttam Kumaran: But this is really really great.
155 00:14:54.200 ⇒ 00:15:00.289 Miguel de Veyra: Oh, wait! I think Uttan, can’t we just connect the ticket here to the zoom summarizer?
156 00:15:00.830 ⇒ 00:15:06.915 Uttam Kumaran: Well, this is the thing. I’m not. Well, yeah. Event, this is Bay. That’s like, you’re now getting again to where I’m going
157 00:15:08.520 ⇒ 00:15:12.999 Uttam Kumaran: is basically, like a meeting happens on the meeting.
158 00:15:13.380 ⇒ 00:15:14.760 Uttam Kumaran: There’s probably like
159 00:15:14.910 ⇒ 00:15:23.050 Uttam Kumaran: a few tickets that need to get created. We want to give the users an ability to say, cool, go through the meeting and suggest which tickets.
160 00:15:23.550 ⇒ 00:15:28.999 Uttam Kumaran: And then the tickets here basically says, Okay, I can go make these tickets. And you’re like, make this one and make this one.
161 00:15:29.250 ⇒ 00:15:29.730 Uttam Kumaran: That’s it.
162 00:15:29.730 ⇒ 00:15:31.540 Miguel de Veyra: Yeah, cause I’m thinking.
163 00:15:31.540 ⇒ 00:15:34.050 Uttam Kumaran: That’s like, that’s how we’ll connect it all. Basically.
164 00:15:34.200 ⇒ 00:15:42.560 Miguel de Veyra: Cause. Yeah, I think we can skip the whole SDK part like, for example, this zoom summarizer report right? And then it already has
165 00:15:42.860 ⇒ 00:15:50.720 Miguel de Veyra: the suggested tickets, and then just say, Hey, tag, ticket here, if this works for you right.
166 00:15:58.350 ⇒ 00:16:03.980 Uttam Kumaran: Yeah, I I think it’s something like that, like, once your tickets here is done, we’ll work on like, how do we merge this
167 00:16:04.720 ⇒ 00:16:11.389 Uttam Kumaran: cause. Eventually, basically, I want people to show for meetings like, I don’t want people to think about whether it gets added to notion or not.
168 00:16:12.638 ⇒ 00:16:14.729 Uttam Kumaran: So that’s like a full loop
169 00:16:15.910 ⇒ 00:16:17.780 Uttam Kumaran: sort of thing that we’ll work on.
170 00:16:18.310 ⇒ 00:16:19.720 Miguel de Veyra: Okay.
171 00:16:21.600 ⇒ 00:16:25.850 Uttam Kumaran: But yeah, we have to finish this item. First, st because
172 00:16:26.350 ⇒ 00:16:29.260 Uttam Kumaran: we’re gonna be creating tickets nonstop.
173 00:16:29.500 ⇒ 00:16:35.899 Uttam Kumaran: So this helps like, we create like, this is a tick creating tickets and creating tickets with great requirements. Is that the biggest problem here right now
174 00:16:36.980 ⇒ 00:16:51.140 Uttam Kumaran: cause also, once this once this agent is made, you can start creating tickets from a multiple different places, right? Like each individual person can slack the tickets here like you can, we can think about different ways of of creating tickets more efficiently.
175 00:16:51.560 ⇒ 00:16:52.290 Miguel de Veyra: Yeah, perfect.
176 00:16:52.870 ⇒ 00:16:57.549 Uttam Kumaran: And then. So one other thing I wanted to go through was basically how to check out the
177 00:16:58.420 ⇒ 00:17:05.840 Uttam Kumaran: I wanted to show you guys how to look at the anthropic and open AI platform budgets.
178 00:17:06.109 ⇒ 00:17:07.190 Miguel de Veyra: Photos, yeah.
179 00:17:07.440 ⇒ 00:17:09.920 Uttam Kumaran: And so let me let me just go through that.
180 00:17:11.062 ⇒ 00:17:16.059 Uttam Kumaran: The other thing we’re gonna do is we’re we’re working on. Are you guys familiar with like okrs.
181 00:17:17.119 ⇒ 00:17:18.459 Miguel de Veyra: I’ve heard of it before.
182 00:17:19.391 ⇒ 00:17:23.619 Uttam Kumaran: Is is a, it’s like a concept of like objective and like key results.
183 00:17:23.759 ⇒ 00:17:28.519 Uttam Kumaran: So basically for the company, we’re setting like goals right now like, what are the goals for each
184 00:17:28.849 ⇒ 00:17:46.709 Uttam Kumaran: for the company? And then how does that ladder down to goals for each team? One of the goals for this team is basically it’s hard to measure like, okay, how much value did these agents drive? But one of the things we can measure is how they’re getting used right? So one of the things we’re gonna start to look at over time is basically usage.
185 00:17:46.849 ⇒ 00:17:59.549 Uttam Kumaran: So I wanna look at like, how many like, what is our open AI and anthropic usage? What’s our and what’s also our usage of the agents themselves.
186 00:17:59.739 ⇒ 00:18:03.429 Uttam Kumaran: So that way we can measure our team’s performance.
187 00:18:03.829 ⇒ 00:18:06.804 Uttam Kumaran: As like, okay, these are getting adopted.
188 00:18:07.609 ⇒ 00:18:18.489 Uttam Kumaran: So we’ll that’s something to keep in mind for later this quarter. But it’s probably that’s why I think we’re gonna have to figure out whether na, then logs works or Lm logs are better.
189 00:18:20.599 ⇒ 00:18:22.699 Uttam Kumaran: But let me just share this.
190 00:19:12.819 ⇒ 00:19:15.159 Uttam Kumaran: okay, so if you’re in here.
191 00:19:15.309 ⇒ 00:19:20.409 Uttam Kumaran: Basically, we’re in the Brainforge AI sort of workspace. We have all of our projects here.
192 00:19:20.549 ⇒ 00:19:23.139 Uttam Kumaran: I’m pretty sure if you go to manage projects.
193 00:19:23.399 ⇒ 00:19:27.289 Uttam Kumaran: They’re gonna be able to see here all of our projects and the limits
194 00:19:27.489 ⇒ 00:19:30.159 Uttam Kumaran: we’re gonna wanna go to usage.
195 00:19:30.629 ⇒ 00:19:37.149 Uttam Kumaran: And we’re basically gonna see sort of how things are getting used. I don’t.
196 00:19:37.719 ⇒ 00:19:39.419 Uttam Kumaran: Yeah, see? We have like
197 00:19:39.599 ⇒ 00:19:47.379 Uttam Kumaran: assistance. Api and some other. Pro like, yeah, once something is getting used here, I think Ericsson basically said that like.
198 00:19:48.219 ⇒ 00:19:51.589 Uttam Kumaran: what did he say about something like, there’s some limit he’s hitting.
199 00:19:53.151 ⇒ 00:19:55.110 Miguel de Veyra: Yeah. The out of something.
200 00:19:58.730 ⇒ 00:20:00.505 Uttam Kumaran: Yeah, I just wanna check
201 00:20:02.820 ⇒ 00:20:04.489 Miguel de Veyra: Exceeded current quota.
202 00:20:05.360 ⇒ 00:20:06.280 Uttam Kumaran: Oh, okay.
203 00:20:14.050 ⇒ 00:20:17.130 Uttam Kumaran: you exceeded your current quota. Okay, cool.
204 00:20:17.640 ⇒ 00:20:20.090 Uttam Kumaran: So let’s go.
205 00:20:20.650 ⇒ 00:20:27.890 Uttam Kumaran: So this is just for the Github project. I wanna go to the lead Assassin, project
206 00:20:29.336 ⇒ 00:20:35.310 Uttam Kumaran: and go to their limits.
207 00:20:36.230 ⇒ 00:20:39.490 Uttam Kumaran: Oh, I don’t know. Where do I even go for this Billings.
208 00:20:46.240 ⇒ 00:20:47.830 Miguel de Veyra: I think it’s in Billings.
209 00:20:51.490 ⇒ 00:20:54.190 Uttam Kumaran: So this is where we are now usage
210 00:21:04.500 ⇒ 00:21:05.270 Uttam Kumaran: pretty much.
211 00:21:07.320 ⇒ 00:21:11.400 Miguel de Veyra: Can you go back to? I think it’s Billings again. Sorry?
212 00:21:12.040 ⇒ 00:21:13.850 Miguel de Veyra: And then, yeah, there you go.
213 00:21:14.846 ⇒ 00:21:17.870 Miguel de Veyra: Yeah. Yeah. Cause you have to put money in.
214 00:21:20.220 ⇒ 00:21:25.459 Miguel de Veyra: cause. Me and Casey don’t. Don’t really use open AI much, since we have access to azure.
215 00:21:25.460 ⇒ 00:21:26.360 Uttam Kumaran: Yeah.
216 00:21:26.360 ⇒ 00:21:28.800 Miguel de Veyra: Like, if we, if we absolutely have to.
217 00:21:29.400 ⇒ 00:21:31.500 Uttam Kumaran: Yeah, you’ll use azure. You’re using azure right?
218 00:21:31.500 ⇒ 00:21:38.500 Miguel de Veyra: Yeah, if we need, if we really need open AI for some stuff, I I just use my personal, because, yeah, I think since December. This wasn’t.
219 00:21:39.150 ⇒ 00:21:41.110 Miguel de Veyra: This wasn’t funded. I think.
220 00:21:46.910 ⇒ 00:21:49.200 Uttam Kumaran: So I just wanna know what.
221 00:21:55.490 ⇒ 00:21:58.719 Uttam Kumaran: Let’s see, none of these show lead assassin
222 00:22:03.080 ⇒ 00:22:07.600 Uttam Kumaran: like this doesn’t change anything.
223 00:22:08.710 ⇒ 00:22:11.530 Miguel de Veyra: And the last use was November.
224 00:22:30.600 ⇒ 00:22:32.030 Miguel de Veyra: Go, I think, to it.
225 00:22:32.170 ⇒ 00:22:34.889 Miguel de Veyra: The set, is it the settings? Icon?
226 00:22:36.420 ⇒ 00:22:37.940 Uttam Kumaran: I mean, okay, I can.
227 00:22:37.940 ⇒ 00:22:40.239 Miguel de Veyra: Because you’re an organization. I think.
228 00:22:41.210 ⇒ 00:22:42.790 Uttam Kumaran: I am an organization.
229 00:22:44.190 ⇒ 00:22:48.359 Miguel de Veyra: Yeah, I think you have to. I don’t know. I have to go back. Wait, let me check mine. Actually.
230 00:22:49.440 ⇒ 00:22:51.370 Uttam Kumaran: But you’re in this organization.
231 00:22:51.370 ⇒ 00:22:58.200 Miguel de Veyra: I don’t know. I have my personal or cool.
232 00:22:59.090 ⇒ 00:23:01.559 Uttam Kumaran: See that. Okay? So I’m in this project.
233 00:23:02.320 ⇒ 00:23:07.100 Uttam Kumaran: I wanna click on the lead assassin. See? They haven’t.
234 00:23:09.010 ⇒ 00:23:09.710 Uttam Kumaran: Okay.
235 00:23:13.460 ⇒ 00:23:15.319 Miguel de Veyra: Yeah, they haven’t really used much too.
236 00:23:18.730 ⇒ 00:23:25.110 Uttam Kumaran: I guess I just having a hard time understanding why our credit balance didn’t re up.
237 00:23:28.320 ⇒ 00:23:33.280 Miguel de Veyra: Yeah, when it’s already auto recharge.
238 00:23:39.800 ⇒ 00:23:40.780 Uttam Kumaran: This card.
239 00:24:10.610 ⇒ 00:24:13.801 Uttam Kumaran: I don’t know why it didn’t auto recharge
240 00:24:14.850 ⇒ 00:24:16.540 Uttam Kumaran: But regardless.
241 00:24:17.684 ⇒ 00:24:20.676 Uttam Kumaran: One thing I’m gonna do is set a
242 00:24:22.120 ⇒ 00:24:27.809 Uttam Kumaran: I do think we have some usage limits like we have a hundred dollars. And then there’s a budget limit of 200.
243 00:24:28.020 ⇒ 00:24:28.570 Miguel de Veyra: Yeah.
244 00:24:30.070 ⇒ 00:24:35.310 Uttam Kumaran: One thing I’m going to do is try to set a alert
245 00:24:39.530 ⇒ 00:24:44.959 Uttam Kumaran: Well, we already have these set up. How do I get. How do I get the alert sent to like somebody, though.
246 00:24:45.180 ⇒ 00:24:47.850 Miguel de Veyra: I think it sent to your email automatically.
247 00:24:48.560 ⇒ 00:24:49.360 Uttam Kumaran: Oh, really.
248 00:24:49.360 ⇒ 00:24:55.909 Miguel de Veyra: Yeah, cause I remember you sent me before where I think this around November, where, hey? You know.
249 00:24:56.400 ⇒ 00:24:59.280 Uttam Kumaran: Both of both of you are set as owners here.
250 00:25:00.260 ⇒ 00:25:01.530 Miguel de Veyra: Okay. Let me check.
251 00:25:02.120 ⇒ 00:25:03.120 Uttam Kumaran: Just check.
252 00:25:03.120 ⇒ 00:25:04.159 Casie Aviles: Sending emails.
253 00:25:04.650 ⇒ 00:25:05.739 Uttam Kumaran: You getting emails.
254 00:25:06.640 ⇒ 00:25:09.649 Casie Aviles: Yeah, like, right now, I I saw that you’re open.
255 00:25:09.650 ⇒ 00:25:10.040 Uttam Kumaran: Oh, nice.
256 00:25:10.775 ⇒ 00:25:11.510 Uttam Kumaran: Yeah.
257 00:25:12.230 ⇒ 00:25:18.170 Uttam Kumaran: okay, good. So as long as your guys are getting the emails that I’m fine because we’ll get a we’ll get the budget, alert at a hundred bucks.
258 00:25:18.880 ⇒ 00:25:19.680 Miguel de Veyra: Okay. Okay.
259 00:25:20.180 ⇒ 00:25:29.080 Uttam Kumaran: Okay, I mean in December. Let’s see, in December.
260 00:25:30.010 ⇒ 00:25:31.419 Miguel de Veyra: I love the green share.
261 00:25:32.750 ⇒ 00:25:34.009 Miguel de Veyra: Oh, there you go! Usage.
262 00:25:35.540 ⇒ 00:25:39.349 Uttam Kumaran: I can’t, but it’s it’s hard for me to see like, Oh, spend by project.
263 00:25:39.830 ⇒ 00:25:42.420 Uttam Kumaran: Oh, this is still January, okay, the December.
264 00:25:49.390 ⇒ 00:25:56.220 Uttam Kumaran: So I don’t really know. I mean, like, we only spend 50 bucks right in the November.
265 00:26:02.520 ⇒ 00:26:06.509 Uttam Kumaran: Well, okay, I guess I just wanted to go through that. So in case that happens, you guys know what to do.
266 00:26:06.640 ⇒ 00:26:07.180 Miguel de Veyra: Yep.
267 00:26:07.730 ⇒ 00:26:10.259 Uttam Kumaran: Same thing on anthropic.
268 00:26:16.410 ⇒ 00:26:18.059 Uttam Kumaran: That’s the right thing.
269 00:26:38.340 ⇒ 00:26:41.320 Uttam Kumaran: How do I like get to the damn thing like.
270 00:26:50.610 ⇒ 00:26:52.839 Miguel de Veyra: I’m not even sure I’m part of jeanthropic.
271 00:26:54.630 ⇒ 00:26:56.060 Uttam Kumaran: Okay. Here. Okay, great.
272 00:26:56.360 ⇒ 00:26:59.109 Uttam Kumaran: So this is my organization members.
273 00:27:00.800 ⇒ 00:27:07.799 Uttam Kumaran: Yes, you’re both go on here, you as admin as well.
274 00:27:08.860 ⇒ 00:27:13.320 Uttam Kumaran: Great billing.
275 00:27:18.670 ⇒ 00:27:21.340 Uttam Kumaran: Okay? Looks like we’re steadily using it here.
276 00:27:22.800 ⇒ 00:27:24.709 Miguel de Veyra: Oh, yeah, I think this is because of me.
277 00:27:26.755 ⇒ 00:27:33.569 Uttam Kumaran: Limits monthly limit. I’m gonna set is 50 bucks, anyway. So let’s just see.
278 00:27:58.420 ⇒ 00:28:00.219 Uttam Kumaran: where can I sell usage?
279 00:28:07.920 ⇒ 00:28:10.540 Uttam Kumaran: Okay? Yeah. See, it’s mostly lead assassin using it.
280 00:28:16.190 ⇒ 00:28:18.200 Uttam Kumaran: Nice. Okay, okay, great.
281 00:28:19.390 ⇒ 00:28:22.231 Uttam Kumaran: So I’m gonna I guess I’ll ask them what they’re using.
282 00:28:24.510 ⇒ 00:28:27.940 Uttam Kumaran: what they’re using. Oh, see, we’ve already used 50 bucks this month.
283 00:28:31.090 ⇒ 00:28:34.959 Uttam Kumaran: And we said, also, I’m gonna set the limit higher, because otherwise it’s not gonna work.
284 00:28:50.960 ⇒ 00:28:56.120 Uttam Kumaran: Okay, cool. So you guys should be able to go into here and do this as well.
285 00:28:56.850 ⇒ 00:28:59.780 Uttam Kumaran: I mean, ideally, I want to move everyone to azure.
286 00:29:00.000 ⇒ 00:29:04.079 Uttam Kumaran: But we can. We can sort of like figure that out longer term.
287 00:29:04.870 ⇒ 00:29:07.399 Uttam Kumaran: But I’m glad as long as you guys can see this, then you’re fine.
288 00:29:11.080 ⇒ 00:29:18.449 Uttam Kumaran: Okay, perfect. Anything else we want to cover. Otherwise, I’m gonna put some time on for later. This
289 00:29:18.760 ⇒ 00:29:22.519 Uttam Kumaran: I mean later this evening, your guys time, and we can just work through stuff.
290 00:29:23.880 ⇒ 00:29:24.560 Miguel de Veyra: Okay.
291 00:29:27.440 ⇒ 00:29:28.060 Uttam Kumaran: Okay.
292 00:29:28.680 ⇒ 00:29:32.999 Uttam Kumaran: cool. And then we can also talk about in that meeting like how we’re gonna track usage and everything. So.
293 00:29:35.700 ⇒ 00:29:37.409 Miguel de Veyra: Is Casey also gonna be there, or just.
294 00:29:37.410 ⇒ 00:29:39.109 Uttam Kumaran: Yeah, I’ll invite both you guys. Yeah.
295 00:29:39.110 ⇒ 00:29:40.380 Miguel de Veyra: Okay. Okay. Sure. Sure.
296 00:29:40.645 ⇒ 00:29:48.619 Uttam Kumaran: And then, yeah, I guess the only thing I’m gonna ask some people on the sale as a as the meeting summarizers get sent. I’m gonna ask people for feedback.
297 00:29:50.180 ⇒ 00:29:50.870 Miguel de Veyra: Okay.
298 00:29:51.700 ⇒ 00:29:52.130 Uttam Kumaran: Okay.
299 00:29:52.130 ⇒ 00:29:52.760 Casie Aviles: Okay.
300 00:29:54.690 ⇒ 00:29:55.700 Uttam Kumaran: Thanks guys.
301 00:29:55.700 ⇒ 00:29:56.290 Miguel de Veyra: Thanks. Ashley.
302 00:29:56.530 ⇒ 00:29:57.180 Connor Fenn: See you.