Meeting Title: AI Team Standup Date: 2025-05-12 Meeting participants: Uttam Kumaran, Ryan Brosas, Miguel De Veyra, Casie Aviles
WEBVTT
1 00:01:49.820 ⇒ 00:01:51.329 Miguel de Veyra: What’s up, mate?
2 00:01:53.170 ⇒ 00:01:53.950 Casie Aviles: A.
3 00:02:03.090 ⇒ 00:02:06.080 Miguel de Veyra: We’re starting a new cycle like this week.
4 00:02:08.210 ⇒ 00:02:11.579 Casie Aviles: Not sure. But yeah, maybe. Yeah, think so.
5 00:02:16.150 ⇒ 00:02:18.280 Miguel de Veyra: Scope. Everyone comes in.
6 00:02:18.650 ⇒ 00:02:19.130 Miguel de Veyra: Yep.
7 00:02:33.560 ⇒ 00:02:34.860 Miguel de Veyra: Who motto, Bro.
8 00:02:35.950 ⇒ 00:02:37.165 Casie Aviles: Yeah. Oh, honey.
9 00:02:45.440 ⇒ 00:02:49.299 Casie Aviles: am I lie? What’s up so I can work a distance. Then.
10 00:02:50.050 ⇒ 00:02:54.200 Miguel de Veyra: I
11 00:03:05.040 ⇒ 00:03:07.170 Miguel de Veyra: closer on Marathi elections.
12 00:03:08.860 ⇒ 00:03:10.429 Casie Aviles: Gano kalayo yo manu!
13 00:03:10.580 ⇒ 00:03:12.029 Casie Aviles: UN pressing to say no.
14 00:03:12.440 ⇒ 00:03:17.960 Miguel de Veyra: 200 300 pesos.
15 00:03:18.495 ⇒ 00:03:19.799 Casie Aviles: Shit now you want.
16 00:03:20.720 ⇒ 00:03:23.849 Miguel de Veyra: That was Bali Canyon. So 600,000 Lake.
17 00:03:27.580 ⇒ 00:03:28.175 Casie Aviles: Jypka.
18 00:03:35.960 ⇒ 00:03:37.440 Miguel de Veyra: One item, Poland.
19 00:03:38.010 ⇒ 00:03:39.140 Casie Aviles: I’m Olan Bajan.
20 00:03:39.140 ⇒ 00:03:40.660 Miguel de Veyra: Lasagrabe
21 00:03:52.930 ⇒ 00:03:54.070 Miguel de Veyra: Top, Ryan.
22 00:03:56.690 ⇒ 00:03:57.732 Ryan Brosas: Up! What’s up?
23 00:03:58.290 ⇒ 00:03:59.500 Miguel de Veyra: We’ll water in Bro.
24 00:04:00.190 ⇒ 00:04:00.956 Ryan Brosas: Hi! Indeed!
25 00:04:06.826 ⇒ 00:04:07.543 Casie Aviles: Any.
26 00:04:09.210 ⇒ 00:04:13.350 Miguel de Veyra: Ganon Din, Naman, Isang, Boto, Olang.
27 00:04:15.220 ⇒ 00:04:17.239 Miguel de Veyra: but we’re under about 600.
28 00:04:17.839 ⇒ 00:04:18.629 Ryan Brosas: I’m sorry.
29 00:05:59.800 ⇒ 00:06:09.180 Miguel de Veyra: Valentine’s.
30 00:06:09.630 ⇒ 00:06:10.429 Casie Aviles: There you go!
31 00:06:10.640 ⇒ 00:06:15.030 Miguel de Veyra: Oh, light and gas! 1.6
32 00:06:24.855 ⇒ 00:06:25.760 Miguel de Veyra: from.
33 00:06:32.330 ⇒ 00:06:33.100 Casie Aviles: Oh!
34 00:06:51.620 ⇒ 00:06:54.719 Miguel de Veyra: I’m doing, I hope an overnight don’t
35 00:07:13.210 ⇒ 00:07:13.610 Miguel de Veyra: oh.
36 00:07:16.680 ⇒ 00:07:20.000 Miguel de Veyra: ma’am sienna i’m, not big
37 00:07:42.030 ⇒ 00:07:43.200 Miguel de Veyra: sales.
38 00:07:45.910 ⇒ 00:07:48.200 Miguel de Veyra: Let me go on. A live person.
39 00:07:49.950 ⇒ 00:07:52.590 Casie Aviles: Ren ignor.
40 00:07:52.770 ⇒ 00:07:57.780 Miguel de Veyra: That would be the because he was a sales leader.
41 00:07:58.610 ⇒ 00:08:10.680 Miguel de Veyra: Can we go? Basically, we’re walking out of the world they’re controlling or just based off like.
42 00:08:11.960 ⇒ 00:08:13.390 Casie Aviles: Yeah, yeah, possible.
43 00:08:14.850 ⇒ 00:08:23.390 Miguel de Veyra: Along new examples, but record analyzer.
44 00:08:24.040 ⇒ 00:08:25.380 Casie Aviles: Not for Delibero.
45 00:08:25.560 ⇒ 00:08:34.160 Miguel de Veyra: Oh, but I’m going among a create, Doc.
46 00:08:34.449 ⇒ 00:08:35.109 Casie Aviles: -
47 00:08:40.270 ⇒ 00:08:41.059 Uttam Kumaran: Hey, guys.
48 00:08:41.539 ⇒ 00:08:42.359 Miguel de Veyra: Hey? What’s up?
49 00:08:42.789 ⇒ 00:08:43.859 Uttam Kumaran: Hey! How are you?
50 00:08:44.720 ⇒ 00:08:45.480 Casie Aviles: You’re done.
51 00:08:46.440 ⇒ 00:08:47.040 Ryan Brosas: Hey!
52 00:08:48.470 ⇒ 00:08:49.540 Uttam Kumaran: How’s the weekend.
53 00:08:50.930 ⇒ 00:08:55.799 Miguel de Veyra: Pretty good. We forgot to mention to you that it’s election in the Philippines today.
54 00:08:55.800 ⇒ 00:09:05.410 Uttam Kumaran: I saw I got a notification from Grab, sent me a notification, saying, Be careful! Something like that.
55 00:09:08.130 ⇒ 00:09:11.409 Miguel de Veyra: You were just talking about that and the clay stuff.
56 00:09:12.050 ⇒ 00:09:12.940 Uttam Kumaran: Nice.
57 00:09:16.530 ⇒ 00:09:20.070 Uttam Kumaran: is it? Like a major election like it’s like very important.
58 00:09:21.430 ⇒ 00:09:22.290 Casie Aviles: Election.
59 00:09:22.290 ⇒ 00:09:25.869 Miguel de Veyra: It’s basically gonna decide who’s gonna win the Presidency in 28.th
60 00:09:26.480 ⇒ 00:09:27.610 Uttam Kumaran: Oh, wow!
61 00:09:28.790 ⇒ 00:09:31.500 Uttam Kumaran: Nice. Okay. I wanna ask you who you voted for. But.
62 00:09:32.930 ⇒ 00:09:35.820 Miguel de Veyra: Only in case he voted here.
63 00:09:35.820 ⇒ 00:09:36.970 Uttam Kumaran: Oh, okay.
64 00:09:36.970 ⇒ 00:09:38.290 Miguel de Veyra: It’s for.
65 00:09:44.380 ⇒ 00:09:49.590 Miguel de Veyra: But yeah, let me pull up in here.
66 00:09:56.980 ⇒ 00:10:09.270 Miguel de Veyra: I out. And, by the way, I have a meeting with Sorry. Where’s my calendar with Lishawn?
67 00:10:10.400 ⇒ 00:10:12.500 Uttam Kumaran: Yeah. And then, do you meet this guy? Mustafa.
68 00:10:12.710 ⇒ 00:10:15.330 Miguel de Veyra: Hi! I’m Mustafa. I met with him last week.
69 00:10:16.120 ⇒ 00:10:16.600 Uttam Kumaran: What do you think?
70 00:10:16.600 ⇒ 00:10:23.649 Miguel de Veyra: He’s basically same skill set as me and Casey more on automations. And he then, and is he.
71 00:10:24.640 ⇒ 00:10:25.379 Uttam Kumaran: Think you saw it?
72 00:10:25.380 ⇒ 00:10:33.519 Miguel de Veyra: Yeah, he’s pretty good. Let me review the cause. I already forgot. That was, I think, Wednesday. But I he was, I would say.
73 00:10:33.640 ⇒ 00:10:36.930 Miguel de Veyra: 8 out of 10 in terms of rating. But yeah, I’ll review it.
74 00:10:37.410 ⇒ 00:10:38.759 Uttam Kumaran: Okay, review it. Yeah.
75 00:10:42.063 ⇒ 00:10:45.819 Uttam Kumaran: Okay, cool. So let’s just maybe be a little quick today. So
76 00:10:46.000 ⇒ 00:10:49.940 Uttam Kumaran: I wanna I just sent some notes in stock. Did everyone sort of take a look at some of those.
77 00:10:53.040 ⇒ 00:10:54.659 Miguel de Veyra: The one in Aidemia.
78 00:10:54.660 ⇒ 00:11:02.430 Uttam Kumaran: Yeah. So I think, the like.
79 00:11:02.880 ⇒ 00:11:06.070 Uttam Kumaran: I sort of want to do a couple of things. So one, I want to shift like
80 00:11:06.270 ⇒ 00:11:11.899 Uttam Kumaran: these meetings. I want to focus just on like, what are we doing? What’s getting done when our stuff coming out? So I know we had a bunch of
81 00:11:12.020 ⇒ 00:11:20.020 Uttam Kumaran: quick fixes for AI bots last week, like, how are we looking on some of those, and how how
82 00:11:20.260 ⇒ 00:11:24.099 Uttam Kumaran: closer we to being able to just tell everyone, hey? The AI bots are available.
83 00:11:26.870 ⇒ 00:11:32.130 Miguel de Veyra: I think we should be able to deploy most of the changes by end of day.
84 00:11:32.870 ⇒ 00:11:37.170 Casie Aviles: Yeah, I’m actually, I’ve started working on it, but only for Javi.
85 00:11:38.160 ⇒ 00:11:39.620 Miguel de Veyra: Yeah, so this.
86 00:11:39.940 ⇒ 00:11:40.619 Casie Aviles: You know.
87 00:11:40.620 ⇒ 00:11:44.989 Uttam Kumaran: Okay, so how is there? How can we start to centralize this? So like.
88 00:11:45.150 ⇒ 00:11:48.279 Uttam Kumaran: for example, that we don’t have to go one by one.
89 00:11:50.380 ⇒ 00:11:56.620 Miguel de Veyra: We can create like a parent bought a brain forge bot that’s basically connected to those to each agent.
90 00:11:57.420 ⇒ 00:12:00.709 Uttam Kumaran: No, I guess. I guess what I’m saying is like.
91 00:12:01.190 ⇒ 00:12:05.150 Uttam Kumaran: For example, if you want to change the output, you have to go one by one, right like.
92 00:12:05.150 ⇒ 00:12:05.890 Casie Aviles: Oh, yeah, someone.
93 00:12:05.890 ⇒ 00:12:07.310 Uttam Kumaran: Some of the fixes
94 00:12:07.520 ⇒ 00:12:12.099 Uttam Kumaran: we’re like across every agent. So how can we? Is there any way we can like centralize some of that logic.
95 00:12:14.580 ⇒ 00:12:20.350 Miguel de Veyra: There is a way to do it, I think, but I think it will take a a bit more setup.
96 00:12:21.120 ⇒ 00:12:22.600 Casie Aviles: I think we could try like.
97 00:12:22.860 ⇒ 00:12:29.700 Casie Aviles: I think one of the suggestions made earlier was with branching a branching logic like we just have one
98 00:12:30.235 ⇒ 00:12:33.480 Casie Aviles: workflow, and we just branch to each agent.
99 00:12:33.840 ⇒ 00:12:34.850 Casie Aviles: But yeah.
100 00:12:35.870 ⇒ 00:12:40.609 Miguel de Veyra: I’d even start with the tool. So, for example, this, there should be only one slack for zoom
101 00:12:40.940 ⇒ 00:12:42.220 Miguel de Veyra: context tool.
102 00:12:44.570 ⇒ 00:12:50.020 Miguel de Veyra: And then from there, you know, we cause, we, I added, like the data source, basically, or what to use.
103 00:12:50.230 ⇒ 00:12:53.030 Miguel de Veyra: So we can just branch out from there. But
104 00:12:53.860 ⇒ 00:12:56.759 Miguel de Veyra: that could present their own problems. Of course.
105 00:13:01.690 ⇒ 00:13:03.549 Uttam Kumaran: Yeah. So I I don’t know. I think
106 00:13:03.890 ⇒ 00:13:09.900 Uttam Kumaran: I think our 1st goal is, let’s just get all these fixes out and then release this. But
107 00:13:10.220 ⇒ 00:13:15.570 Uttam Kumaran: I want to sort of have a conversation at some point about how we can centralize some of this logic. But that’s fine.
108 00:13:15.690 ⇒ 00:13:22.959 Uttam Kumaran: Yeah. Okay, so Casey’s handling that. Let’s talk about what else is on our plate for?
109 00:13:25.580 ⇒ 00:13:28.050 Uttam Kumaran: What? Just what else is on our plate overall right now?
110 00:13:28.829 ⇒ 00:13:36.879 Uttam Kumaran: So we have all the linear stuff. So the other thing is like, how do you guys feel about using like Mcp servers instead of like
111 00:13:37.250 ⇒ 00:13:39.930 Uttam Kumaran: doing rag like? What’s the advantages.
112 00:13:42.030 ⇒ 00:13:43.150 Casie Aviles: During using, what?
113 00:13:43.370 ⇒ 00:13:45.039 Uttam Kumaran: Like Mcp servers.
114 00:13:45.210 ⇒ 00:13:47.069 Uttam Kumaran: Have you guys read about like Mcp.
115 00:13:48.749 ⇒ 00:13:55.140 Miguel de Veyra: Model context protocol. I have read sub part of it for for cursor, because I’m trying to do it. There.
116 00:13:56.534 ⇒ 00:14:07.170 Casie Aviles: But yeah, I haven’t really tried it in practice. But I’ve heard that it’s good for like tool use for each of the AI creates this standardization for tool use
117 00:14:07.450 ⇒ 00:14:09.670 Casie Aviles: and context. Retrieval.
118 00:14:09.670 ⇒ 00:14:13.970 Miguel de Veyra: But yeah, I will. Google, this and chat gpt, see? What’s difference.
119 00:14:14.510 ⇒ 00:14:20.917 Uttam Kumaran: Okay, yeah, I think. There there are.
120 00:14:25.320 ⇒ 00:14:30.190 Uttam Kumaran: I mean, no, it is.
121 00:15:03.800 ⇒ 00:15:06.295 Uttam Kumaran: Yeah. So I don’t know, I think think,
122 00:15:07.700 ⇒ 00:15:11.380 Miguel de Veyra: Oh, yeah, I’ll look into Mcp
123 00:15:11.730 ⇒ 00:15:18.029 Miguel de Veyra: today, cause I’m also cause I was also working on the rag stuff last week, right towards the end of the week.
124 00:15:18.520 ⇒ 00:15:19.210 Uttam Kumaran: Okay.
125 00:15:19.580 ⇒ 00:15:25.760 Miguel de Veyra: Cause, you know, if Mcp might be a better use case for us, I don’t really wanna invest more time on the rug.
126 00:15:26.250 ⇒ 00:15:33.440 Uttam Kumaran: Great. So check out the linear Mcp linear Mcp or Cursor Mcp.
127 00:15:33.440 ⇒ 00:15:35.270 Uttam Kumaran: There is a linear Mcp.
128 00:15:35.270 ⇒ 00:15:36.520 Miguel de Veyra: Okay, okay, I’ll check it out.
129 00:15:36.740 ⇒ 00:15:38.930 Uttam Kumaran: Because you don’t need to do it in cursor.
130 00:15:39.970 ⇒ 00:15:43.220 Uttam Kumaran: It’s just like you can have this. And then, as an Mcp node.
131 00:15:43.460 ⇒ 00:15:45.540 Miguel de Veyra: Okay, okay, I’ll create a ticket for it.
132 00:15:46.470 ⇒ 00:15:50.121 Uttam Kumaran: Okay, so that would be great to look at.
133 00:15:50.960 ⇒ 00:15:53.150 Uttam Kumaran: slack. But quick fixes are good.
134 00:15:55.030 ⇒ 00:15:57.689 Uttam Kumaran: All the zoom stuff is done basically.
135 00:16:01.151 ⇒ 00:16:02.639 Miguel de Veyra: Yes, I think so.
136 00:16:03.390 ⇒ 00:16:03.870 Miguel de Veyra: What about.
137 00:16:03.870 ⇒ 00:16:12.260 Casie Aviles: I think, for me, I think for me. The one that I haven’t really completed was the backfill part for at least just the transcripts, I mean the summaries.
138 00:16:13.967 ⇒ 00:16:17.970 Uttam Kumaran: Because I think I have to create like a python script for that.
139 00:16:18.570 ⇒ 00:16:23.420 Uttam Kumaran: can you? Can you? Can you grab time with a wish to do that?
140 00:16:24.709 ⇒ 00:16:27.689 Casie Aviles: Yeah, sure, I can ask for his help as well.
141 00:16:28.070 ⇒ 00:16:28.780 Uttam Kumaran: Yeah.
142 00:16:41.140 ⇒ 00:16:50.850 Miguel de Veyra: And then, should we spend some time with them on working on basically just spending time on testing out contextual? Because, honestly, I haven’t been really able to
143 00:16:51.290 ⇒ 00:16:52.409 Miguel de Veyra: do much about it.
144 00:17:02.048 ⇒ 00:17:03.339 Uttam Kumaran: Wait say one more time.
145 00:17:04.150 ⇒ 00:17:08.420 Miguel de Veyra: Sorry for linear hi for linear, for contextual.
146 00:17:08.730 ⇒ 00:17:15.610 Miguel de Veyra: should we? I don’t know. Try something out there. Maybe run a little spike a day maximum. See what.
147 00:17:17.659 ⇒ 00:17:22.159 Uttam Kumaran: I think I want to do it in a couple of different ways. One, I want us to build
148 00:17:22.489 ⇒ 00:17:26.138 Uttam Kumaran: like some. I I want us to build some sort of
149 00:17:27.349 ⇒ 00:17:31.039 Uttam Kumaran: a contextual based demo for legal.
150 00:17:31.870 ⇒ 00:17:32.610 Miguel de Veyra: Okay.
151 00:17:33.340 ⇒ 00:17:36.688 Uttam Kumaran: So is there. Is there any way we can
152 00:17:38.180 ⇒ 00:17:41.530 Uttam Kumaran: like either, adapt the current demo
153 00:17:42.550 ⇒ 00:17:49.949 Uttam Kumaran: like, make a clone of it, and and do do another one that’s based on contextual or something like that, because there are features of finding
154 00:17:50.060 ⇒ 00:17:52.479 Uttam Kumaran: where it is in the dock is really helpful.
155 00:17:52.480 ⇒ 00:17:55.469 Miguel de Veyra: Yeah, I was actually planning to
156 00:17:55.600 ⇒ 00:17:59.730 Miguel de Veyra: ask, or maybe coordinate with them if it’s possible to white label that stuff
157 00:18:05.243 ⇒ 00:18:06.090 Miguel de Veyra: but the.
158 00:18:06.460 ⇒ 00:18:07.790 Uttam Kumaran: With the okay, I’ll check.
159 00:18:07.790 ⇒ 00:18:09.879 Uttam Kumaran: I think they’re okay to do white label like.
160 00:18:11.010 ⇒ 00:18:15.769 Miguel de Veyra: Cause I’ll check their Apis and stuff. But yeah, let me add that to the loose.
161 00:18:18.480 ⇒ 00:18:25.920 Uttam Kumaran: Yeah. So I want to spend some time on that. And then also like, How how hard is this clay stuff that like sales needed.
162 00:18:28.830 ⇒ 00:18:31.760 Miguel de Veyra: Who’s the most capable clay person in the company.
163 00:18:34.461 ⇒ 00:18:39.390 Uttam Kumaran: I mean, it’s probably me or Ryan on the call.
164 00:18:39.740 ⇒ 00:18:44.070 Miguel de Veyra: Okay? Yeah. Well, then, I’ll coordinate with the with Ryan.
165 00:18:45.775 ⇒ 00:18:50.660 Uttam Kumaran: Also, like Erickson, offered that he can train one or 2 of us.
166 00:18:52.510 ⇒ 00:18:53.150 Miguel de Veyra: Okay.
167 00:18:53.750 ⇒ 00:18:54.699 Uttam Kumaran: What do you think?
168 00:18:56.072 ⇒ 00:19:00.540 Miguel de Veyra: Yeah, happy to do it, or should it be Ryan and me.
169 00:19:02.690 ⇒ 00:19:09.050 Uttam Kumaran: Well, like I would. I would probably just ask him to train both of you guys on it.
170 00:19:09.230 ⇒ 00:19:11.030 Miguel de Veyra: Okay, yeah, that works.
171 00:19:11.616 ⇒ 00:19:13.980 Uttam Kumaran: So let me ask him if he’s open to that.
172 00:19:14.683 ⇒ 00:19:17.990 Uttam Kumaran: But yeah, like, it’s really basic stuff, like
173 00:19:18.140 ⇒ 00:19:21.709 Uttam Kumaran: generating a couple of lead lists things like that. So
174 00:19:24.120 ⇒ 00:19:26.769 Uttam Kumaran: I want us to sort of try to make some headway. There.
175 00:19:27.860 ⇒ 00:19:28.740 Miguel de Veyra: Okay. Sure.
176 00:19:29.520 ⇒ 00:19:30.570 Uttam Kumaran: So
177 00:19:31.150 ⇒ 00:19:41.189 Uttam Kumaran: I think, yeah, I want to sort of close out as many of this sort of like internal slack agent, internal slack agent stuff as possible and get these all out the door.
178 00:19:43.420 ⇒ 00:19:49.620 Uttam Kumaran: ideally. By like Wednesday. We could just get all this stuff out because the team needs to use it, to create documents.
179 00:19:49.620 ⇒ 00:19:50.150 Miguel de Veyra: Okay. Okay.
180 00:19:50.920 ⇒ 00:19:59.309 Uttam Kumaran: So I want to get that done, and then the next thing to work on me and you, Miguel, compare on like sales Demos.
181 00:20:00.140 ⇒ 00:20:00.630 Miguel de Veyra: Okay. Yes.
182 00:20:01.170 ⇒ 00:20:09.680 Uttam Kumaran: So I wanna plan on, I’m gonna create one ticket for law focused contextual demo.
183 00:20:10.030 ⇒ 00:20:10.420 Miguel de Veyra: Yeah.
184 00:20:10.420 ⇒ 00:20:14.910 Uttam Kumaran: And then I’m gonna create one ticket for like modifying. So then we have the other
185 00:20:16.800 ⇒ 00:20:19.219 Uttam Kumaran: demo.brainforge.ai.
186 00:20:22.500 ⇒ 00:20:26.239 Uttam Kumaran: and then, yeah, so we have this record analysis, right?
187 00:20:26.450 ⇒ 00:20:27.050 Miguel de Veyra: Yeah.
188 00:20:27.050 ⇒ 00:20:28.590 Uttam Kumaran: That’s the legal one.
189 00:20:29.580 ⇒ 00:20:31.599 Miguel de Veyra: Yeah, for the medical legal stuff.
190 00:20:32.200 ⇒ 00:20:38.249 Uttam Kumaran: Okay. So I’m gonna create 3 tickets. I’m gonna create, modify?
191 00:20:41.140 ⇒ 00:20:45.480 Uttam Kumaran: The record analysis, demo.
192 00:20:46.070 ⇒ 00:20:51.189 Uttam Kumaran: And then I’ll add some requirements. And then the last piece that I’m gonna do is, I’m gonna say.
193 00:20:52.073 ⇒ 00:20:57.460 Uttam Kumaran: modifications for demo.brainforge.ai site.
194 00:20:57.850 ⇒ 00:20:58.450 Miguel de Veyra: Oh, yeah.
195 00:20:59.250 ⇒ 00:21:16.189 Uttam Kumaran: And then can I ask another question like, how hard is it to to have our website like, for example, if I was to do. brainforge.ai slash files slash something dot? Pdf, can we do that all in cloudflare? Or is that s. 3, or like, how fast is that to be
196 00:21:16.390 ⇒ 00:21:25.250 Uttam Kumaran: cause? That’s what I really I wanted. Remember when I asked like, Hey, can we put this Pdf. Behind the site? I didn’t want to like embed it. I just wanted it directly linked to the file.
197 00:21:26.530 ⇒ 00:21:27.860 Miguel de Veyra: Oh, okay.
198 00:21:27.860 ⇒ 00:21:28.320 Uttam Kumaran: Yeah.
199 00:21:28.320 ⇒ 00:21:30.100 Miguel de Veyra: Not really much of a devops, Guy.
200 00:21:30.930 ⇒ 00:21:32.829 Miguel de Veyra: I can check Gpt honestly.
201 00:21:33.720 ⇒ 00:21:40.190 Uttam Kumaran: Yeah. So I’m just gonna put something around like, link to Pdfs.
202 00:21:40.420 ⇒ 00:21:43.969 Uttam Kumaran: And I’m gonna say, slash, file, slash.
203 00:21:43.970 ⇒ 00:21:46.069 Miguel de Veyra: That was on Godaddy, or something.
204 00:21:48.170 ⇒ 00:21:55.230 Uttam Kumaran: Yeah, I don’t. I don’t even want it to embed. I just literally want to link, because the thing is right. Now we’re we’re sharing the landing pages.
205 00:21:55.360 ⇒ 00:22:00.470 Uttam Kumaran: But we’re also. I want to start sharing direct links. But right now I’m sharing Google drive links.
206 00:22:00.760 ⇒ 00:22:01.789 Miguel de Veyra: Yep. Yep. Okay.
207 00:22:03.740 ⇒ 00:22:05.360 Uttam Kumaran: So that would be helpful.
208 00:22:08.420 ⇒ 00:22:11.960 Miguel de Veyra: Embedding gets difficult, his style.
209 00:22:11.960 ⇒ 00:22:15.510 Uttam Kumaran: Yeah, I saw you doing that. I’m like, damn I do that. This is like way too much work. I didn’t want to do that.
210 00:22:15.510 ⇒ 00:22:20.500 Miguel de Veyra: Yeah, because the the size is hard to fix.
211 00:22:21.040 ⇒ 00:22:21.700 Uttam Kumaran: Yeah.
212 00:22:22.060 ⇒ 00:22:32.690 Uttam Kumaran: okay, so I’ll get you some feedback on this legal couple legal of the legal demos? And then, Ryan, tell me, are you working on anything for clay.
213 00:22:33.995 ⇒ 00:22:37.750 Ryan Brosas: At this moment. I don’t really have any instructions.
214 00:22:38.216 ⇒ 00:22:42.843 Ryan Brosas: I think it has falls. For some reason I’m not pretty sure.
215 00:22:45.010 ⇒ 00:22:50.289 Uttam Kumaran: Okay, let me check what? The latest ones?
216 00:22:50.630 ⇒ 00:22:56.870 Uttam Kumaran: Oh, okay, I saw your 9 am workbook. Okay? So I’m gonna just like I can review this today.
217 00:22:58.200 ⇒ 00:22:58.686 Ryan Brosas: Yeah, sure.
218 00:22:59.250 ⇒ 00:23:06.629 Uttam Kumaran: So I think I’ll plan. I mean, basically what our what we’re gonna focus on 1st is just like how we can get Robert leads in clay.
219 00:23:07.170 ⇒ 00:23:09.120 Uttam Kumaran: Given some certain criteria.
220 00:23:10.990 ⇒ 00:23:18.130 Uttam Kumaran: So I’ll plan on adding that. And then I think we had. Like one other simple.
221 00:23:19.570 ⇒ 00:23:22.654 Uttam Kumaran: He had another. His other focus was on
222 00:23:41.440 ⇒ 00:23:45.979 Uttam Kumaran: Okay, I’ll get the. I’ll get a little bit more requirements from him on
223 00:23:47.810 ⇒ 00:23:53.559 Uttam Kumaran: the 2 items that are in the go to market notion, which is
224 00:23:59.602 ⇒ 00:24:07.470 Uttam Kumaran: enrichment per persona scoring and the lead. Let’s build. Okay? So okay, cool.
225 00:24:08.790 ⇒ 00:24:13.630 Uttam Kumaran: alright great. So yeah, Casey, if we can get those slack boss fixes out of the
226 00:24:14.720 ⇒ 00:24:19.720 Uttam Kumaran: killer. And then, Miguel, yeah, I’m gonna I’ll send you a bunch of. I’ll send you a couple of looms
227 00:24:21.390 ⇒ 00:24:24.890 Uttam Kumaran: in terms of next steps for the.
228 00:24:25.020 ⇒ 00:24:26.180 Ryan Brosas: Demos.
229 00:24:26.450 ⇒ 00:24:26.910 Miguel de Veyra: Okay.
230 00:24:27.285 ⇒ 00:24:31.039 Uttam Kumaran: And then, yeah, if you can just check out Mcp
231 00:24:31.270 ⇒ 00:24:34.265 Uttam Kumaran: versus rag, the other thing is like, I
232 00:24:36.070 ⇒ 00:24:38.870 Uttam Kumaran: there’s this is like, actually very helpful.
233 00:24:40.650 ⇒ 00:24:43.610 Uttam Kumaran: I just starred this. Let me send this to you as well.
234 00:24:47.550 ⇒ 00:24:55.949 Uttam Kumaran: There’s a Google Calendar, Mcp. See if you can like mess around with that, too, because we could offer, like a Google Calendar chat, bot, like chat with your Google Calendar.
235 00:24:56.530 ⇒ 00:24:57.180 Miguel de Veyra: Okay.
236 00:25:00.440 ⇒ 00:25:02.920 Miguel de Veyra: can we add that to the ticket? I’m gonna forget it.
237 00:25:03.830 ⇒ 00:25:05.379 Uttam Kumaran: Yeah. Cool. Cool.
238 00:25:05.380 ⇒ 00:25:07.680 Uttam Kumaran: Calendar should be.
239 00:25:07.680 ⇒ 00:25:09.010 Miguel de Veyra: Okay, sure, you’re adding.
240 00:25:09.010 ⇒ 00:25:10.190 Uttam Kumaran: I added, I added, it.
241 00:25:10.190 ⇒ 00:25:11.299 Miguel de Veyra: Okay, that’s good.
242 00:25:12.380 ⇒ 00:25:14.519 Uttam Kumaran: Okay. Cool. Let me assign.
243 00:25:14.520 ⇒ 00:25:16.130 Miguel de Veyra: And let me assign people.
244 00:25:16.380 ⇒ 00:25:16.755 Uttam Kumaran: Yeah.
245 00:25:17.340 ⇒ 00:25:23.449 Miguel de Veyra: Sorry. I need to remember, modify record analysis done.
246 00:25:23.780 ⇒ 00:25:24.979 Miguel de Veyra: What is this ticket?
247 00:25:26.315 ⇒ 00:25:28.400 Miguel de Veyra: Record analysis. Okay?
248 00:25:36.430 ⇒ 00:25:38.670 Miguel de Veyra: Cleanup model deployments.
249 00:25:39.820 ⇒ 00:25:41.130 Miguel de Veyra: Most slack.
250 00:25:52.710 ⇒ 00:25:54.230 Miguel de Veyra: Okay? Got it.
251 00:25:58.420 ⇒ 00:25:59.460 Uttam Kumaran: Perfect. Okay.
252 00:26:02.490 ⇒ 00:26:03.260 Uttam Kumaran: Okay.
253 00:26:03.500 ⇒ 00:26:05.080 Uttam Kumaran: Great anything else. Guys.
254 00:26:08.202 ⇒ 00:26:09.410 Miguel de Veyra: No, not really.
255 00:26:12.250 ⇒ 00:26:15.960 Uttam Kumaran: Okay, perfect. Alright! Slack me, and I’ll send some I’ll send some notes.
256 00:26:16.200 ⇒ 00:26:20.630 Miguel de Veyra: Okay, okay, can you send those loom videos by end of day? Or maybe tomorrow.
257 00:26:21.050 ⇒ 00:26:22.390 Uttam Kumaran: I’ll send it today. Yeah.
258 00:26:22.700 ⇒ 00:26:24.050 Miguel de Veyra: Okay. Okay. Thanks. Utah.
259 00:26:24.320 ⇒ 00:26:25.490 Uttam Kumaran: Okay. Thank you.
260 00:26:25.980 ⇒ 00:26:26.839 Casie Aviles: You guys.
261 00:26:27.180 ⇒ 00:26:27.770 Uttam Kumaran: I.