Meeting Title: Internal AI Team | Standup Date: 2025-04-14 Meeting participants: Miguel De Veyra, Casie Aviles, Amber Lin
WEBVTT
1 00:00:42.890 ⇒ 00:00:43.739 Miguel de Veyra: Hey, everyone.
2 00:00:44.890 ⇒ 00:00:49.776 Amber Lin: Oh, man, there you go.
3 00:00:57.270 ⇒ 00:00:57.850 Amber Lin: Okay.
4 00:00:57.850 ⇒ 00:00:58.360 Miguel de Veyra: Bye.
5 00:00:59.190 ⇒ 00:01:08.710 Amber Lin: Let’s let’s blast through this meeting. Oh, let’s see I’ll give you guys a quick update on ABC right now
6 00:01:08.870 ⇒ 00:01:25.599 Amber Lin: doing the rollouts. Not sure if Tim gave everyone access, checking with him, and then Janice will check with them as well. And then there’s errors here and there, but I think they can fix it on their end. So I’m just gonna send Janice everything. So I think we’re gonna be
7 00:01:25.870 ⇒ 00:01:29.860 Amber Lin: good for at least another
8 00:01:29.980 ⇒ 00:01:34.730 Amber Lin: one or 2 days. Do you guys remember if there’s anything we said we wanted to do.
9 00:01:38.860 ⇒ 00:01:42.609 Miguel de Veyra: I think there’s a couple, but I’m not sure if it’s this cycle.
10 00:01:47.410 ⇒ 00:01:52.060 Casie Aviles: Yeah, I think at the top of my head. There’s like.
11 00:01:52.960 ⇒ 00:01:55.949 Casie Aviles: I guess, a trainer bot! And then.
12 00:01:55.950 ⇒ 00:01:56.580 Amber Lin: Oh!
13 00:01:56.900 ⇒ 00:02:02.519 Casie Aviles: I’m not sure if you want to do the like this additional button for them to generate the oh, by the ways.
14 00:02:04.610 ⇒ 00:02:08.829 Amber Lin: I’m gonna for those 2 tests. How long do you think they will take.
15 00:02:15.060 ⇒ 00:02:23.430 Miguel de Veyra: I would say, the oh, by the way, generator with one. But with cause, that’s gonna include Google integration
16 00:02:23.800 ⇒ 00:02:28.689 Miguel de Veyra: and stuff like that, that’s probably gonna be 5 points case, you know.
17 00:02:31.517 ⇒ 00:02:41.260 Miguel de Veyra: And then as for the, as for the document generator, we have to break that down, I I think, because it’s too big of a ticket, and then
18 00:02:41.620 ⇒ 00:02:44.899 Miguel de Veyra: do we already know how they want it?
19 00:02:47.780 ⇒ 00:02:56.939 Amber Lin: I mean, we could just ha have a version for them to test with. Right? So we have all their past training documents.
20 00:02:57.670 ⇒ 00:02:58.920 Amber Lin: And
21 00:03:01.146 ⇒ 00:03:10.660 Amber Lin: essentially, we’re prompt giving a prompt to Gpt right? I guess we can start with maybe this week, just to create a custom prompt.
22 00:03:11.150 ⇒ 00:03:18.000 Amber Lin: What do you think like a Sys or a system prompt, and then
23 00:03:18.540 ⇒ 00:03:23.300 Amber Lin: next week, or if we don’t, if we have capacity, we can
24 00:03:23.470 ⇒ 00:03:30.619 Amber Lin: see how we can integrate that because we decided on just to use chatgpt and plug it into
25 00:03:31.434 ⇒ 00:03:33.849 Amber Lin: their Google workspace. Right?
26 00:03:35.480 ⇒ 00:03:36.210 Miguel de Veyra: Okay.
27 00:03:37.290 ⇒ 00:03:37.760 Amber Lin: Or is it.
28 00:03:37.760 ⇒ 00:03:41.390 Miguel de Veyra: Does, it still has to be deployed into their Google Workspace.
29 00:03:43.500 ⇒ 00:03:45.560 Amber Lin: Is that what we decided on.
30 00:03:46.697 ⇒ 00:03:49.280 Miguel de Veyra: I think we we were supposed to ask them.
31 00:03:50.540 ⇒ 00:03:55.529 Amber Lin: Oh, if it needs to be in their Google Workspace. Is that the question.
32 00:03:56.220 ⇒ 00:03:57.070 Miguel de Veyra: Yeah, yeah.
33 00:03:57.850 ⇒ 00:04:03.600 Amber Lin: Okay, I’ll make a note to ask Yvette or Janice.
34 00:04:03.810 ⇒ 00:04:06.740 Miguel de Veyra: But I’m but that for that one. I think it.
35 00:04:07.450 ⇒ 00:04:15.909 Miguel de Veyra: It’s probably if it’s just that, probably 5 points. Yeah, it’ll probably take a day. I’m not sure the Google Integration part because.
36 00:04:16.500 ⇒ 00:04:21.130 Miguel de Veyra: Casey, have we gotten over the hurdle? The hurdle of deploying 2 bots or not yet?
37 00:04:24.130 ⇒ 00:04:31.380 Casie Aviles: I mean, I think there’s a way. But you know the the blocker is just did with the 1st implementation of the bot itself.
38 00:04:33.140 ⇒ 00:04:33.800 Miguel de Veyra: Yeah.
39 00:04:33.800 ⇒ 00:04:39.740 Casie Aviles: Like the update, like the update, but itself, like the logic of, you know, editing the document.
40 00:04:40.980 ⇒ 00:04:44.709 Miguel de Veyra: Okay. But we can deploy multiple bots into Google Chat already. Right?
41 00:04:45.350 ⇒ 00:04:48.650 Casie Aviles: I believe we can, as long as we have, like 2 separate projects.
42 00:04:49.820 ⇒ 00:04:50.700 Miguel de Veyra: Okay. Okay.
43 00:04:52.160 ⇒ 00:05:03.709 Amber Lin: I see, are we? Cause? I thought last time when we talked about it, we’re no longer gonna make the edits to the document directly. We’re probably just gonna suggest something using Gpt. And then.
44 00:05:03.710 ⇒ 00:05:06.289 Miguel de Veyra: Yep, yep, that’s what we’re gonna do now.
45 00:05:06.490 ⇒ 00:05:13.220 Amber Lin: Oh, okay. So that would say, how long would that.
46 00:05:13.220 ⇒ 00:05:16.549 Miguel de Veyra: Create a ticket, for that’s probably going to be another 5 points.
47 00:05:16.550 ⇒ 00:05:20.070 Amber Lin: Okay, I think we do have the ticket. Let me go find it.
48 00:05:20.340 ⇒ 00:05:20.890 Miguel de Veyra: Okay.
49 00:05:23.160 ⇒ 00:05:31.249 Amber Lin: Trainer. But I’ll say estimate is 5 points, and then the
50 00:05:37.400 ⇒ 00:05:38.530 Amber Lin: where’s the other?
51 00:05:38.930 ⇒ 00:05:45.100 Amber Lin: Oh, the button! Do you guys want to do the button first, st or the
52 00:05:45.930 ⇒ 00:05:48.679 Amber Lin: I guess I could. I could ask Janice. Huh!
53 00:05:49.050 ⇒ 00:05:56.380 Miguel de Veyra: I think we work with the bottom first, st because that’s like tied to what all what they already have. And then the edit is like a new one.
54 00:05:57.880 ⇒ 00:06:03.799 Amber Lin: Sure. I mean, if we have time we can do the button, and then if we have time, we can do
55 00:06:04.363 ⇒ 00:06:12.349 Amber Lin: not the integration part, but maybe the prompt part, so I can demo to them. Hey, this is how cool it is.
56 00:06:12.550 ⇒ 00:06:15.560 Amber Lin: I hope that prompting wouldn’t take that much time.
57 00:06:16.130 ⇒ 00:06:16.680 Miguel de Veyra: Yeah.
58 00:06:16.960 ⇒ 00:06:19.379 Amber Lin: Just the just the prompting part.
59 00:06:19.820 ⇒ 00:06:21.879 Amber Lin: Yeah, I’ll make a subtask.
60 00:06:22.520 ⇒ 00:06:23.420 Amber Lin: Right?
61 00:06:34.870 ⇒ 00:06:38.149 Amber Lin: Sounds good. What about the AI side?
62 00:06:40.940 ⇒ 00:06:42.860 Casie Aviles: For you internal site. Yep.
63 00:06:43.861 ⇒ 00:06:49.210 Casie Aviles: yeah, we’re. I guess. We were planning the internal review with Patrick later.
64 00:06:50.720 ⇒ 00:06:53.160 Miguel de Veyra: Not invited to that one. What time is it.
65 00:06:54.680 ⇒ 00:06:59.009 Casie Aviles: It’s 1130, our time I I created like a an event.
66 00:07:00.110 ⇒ 00:07:05.990 Miguel de Veyra: Oh, it’s in internal AI review. Okay? Okay, I thought this was meeting.
67 00:07:07.000 ⇒ 00:07:11.990 Casie Aviles: Yeah, it’s going to be a separate one from the officers, I believe. So.
68 00:07:12.300 ⇒ 00:07:12.960 Miguel de Veyra: Officers.
69 00:07:12.960 ⇒ 00:07:16.309 Casie Aviles: And we don’t have one yet. We don’t have a.
70 00:07:16.605 ⇒ 00:07:16.900 Miguel de Veyra: Okay.
71 00:07:16.900 ⇒ 00:07:17.790 Casie Aviles: That one?
72 00:07:20.197 ⇒ 00:07:27.359 Casie Aviles: What else? So yeah, last week it’s more on just the zoom side. So I started with.
73 00:07:27.910 ⇒ 00:07:37.439 Casie Aviles: So I guess I have the code for that, and I just want I’m going to show that to Patrick later for the review. Yet in Github. So
74 00:07:38.521 ⇒ 00:07:43.160 Casie Aviles: there are some caveats, though. So that’s why I want to have it reviewed
75 00:07:43.340 ⇒ 00:07:47.530 Casie Aviles: like, yeah, it doesn’t fully satisfy the acceptance criteria.
76 00:07:50.920 ⇒ 00:07:53.210 Casie Aviles: but at the minimum. What it does, is it?
77 00:07:53.390 ⇒ 00:07:56.329 Casie Aviles: It’s able to pull like the metadata from Zoom.
78 00:07:56.490 ⇒ 00:08:00.470 Casie Aviles: So at least we we have that covered, and then we have our
79 00:08:01.615 ⇒ 00:08:04.440 Casie Aviles: workflows responsible for actually uploading
80 00:08:05.010 ⇒ 00:08:08.890 Casie Aviles: the zoom files to S 3. And yeah.
81 00:08:09.446 ⇒ 00:08:14.199 Casie Aviles: right now, I’m in progress with slack. So I’m also using dlt with that. And
82 00:08:14.310 ⇒ 00:08:20.270 Casie Aviles: yeah, I guess that’s my progress on the data stuff. I mean, yeah, I mean the
83 00:08:20.710 ⇒ 00:08:22.800 Casie Aviles: getting the context for the AI.
84 00:08:27.710 ⇒ 00:08:34.699 Miguel de Veyra: Yeah. And then sorry for the sa, for the sales. I think it’s just a matter of deploying it. I’m I’m have you asked
85 00:08:34.909 ⇒ 00:08:37.830 Miguel de Veyra: for feedback from.
86 00:08:38.059 ⇒ 00:08:39.500 Amber Lin: I asked.
87 00:08:40.409 ⇒ 00:08:49.330 Amber Lin: He hasn’t given me any more context or the message templates, so I guess we’re a little stuck on his on his end.
88 00:08:49.490 ⇒ 00:08:53.939 Miguel de Veyra: Yeah, I think Utam mentioned, we just deploy it into sales, for now, anyways.
89 00:08:55.010 ⇒ 00:08:56.090 Amber Lin: Oh! Did he.
90 00:08:57.160 ⇒ 00:08:57.980 Casie Aviles: Channel.
91 00:08:58.560 ⇒ 00:08:59.759 Amber Lin: Oh, I see.
92 00:08:59.970 ⇒ 00:09:16.270 Amber Lin: Sure, yeah. And I’ll nag him on the context because I do want to have a message suggestion for him. Do you think that would take a lot of time to suggest different types, and, like a few different messages based on the past messages.
93 00:09:16.270 ⇒ 00:09:22.400 Miguel de Veyra: I mean, it kinda is already giving that like. But again, I need context.
94 00:09:22.810 ⇒ 00:09:23.330 Amber Lin: Yeah.
95 00:09:23.330 ⇒ 00:09:26.289 Miguel de Veyra: Probably improve it a bit. It’ll probably take like.
96 00:09:26.700 ⇒ 00:09:30.649 Miguel de Veyra: I don’t know 2 points. So it’s short amount of time, probably. Max, 3 h.
97 00:09:30.930 ⇒ 00:09:34.029 Miguel de Veyra: But yeah, we have nothing to work with for now.
98 00:09:34.290 ⇒ 00:09:38.919 Amber Lin: Okay, yeah. Sounds good. I think that’s there. Would
99 00:09:39.530 ⇒ 00:09:48.539 Amber Lin: do. We have enough to create other client agents with our current system as opposed with Dlt.
100 00:09:50.810 ⇒ 00:09:51.200 Miguel de Veyra: Oh!
101 00:09:51.200 ⇒ 00:09:56.690 Casie Aviles: We we? Yeah, we are like, it depends on the client, because right now we are tracking, I think.
102 00:09:57.710 ⇒ 00:10:00.260 Casie Aviles: We have urban stems. Eden.
103 00:10:00.770 ⇒ 00:10:05.630 Casie Aviles: ABC, Javi, yeah, I think those
104 00:10:05.790 ⇒ 00:10:09.779 Casie Aviles: we have those. We have data from the client channels. I believe.
105 00:10:14.980 ⇒ 00:10:20.169 Miguel de Veyra: We could expand it. But, Casey, do you think it’s gonna take a it will take a day now.
106 00:10:22.670 ⇒ 00:10:30.500 Casie Aviles: Maybe faster. Since I’m just gonna copy the work existing workflow. And just, you know, change some things.
107 00:10:30.800 ⇒ 00:10:31.560 Casie Aviles: Yeah.
108 00:10:33.210 ⇒ 00:10:34.150 Miguel de Veyra: Okay. Yeah.
109 00:10:34.150 ⇒ 00:10:36.259 Amber Lin: Okay, yeah, I mean.
110 00:10:37.540 ⇒ 00:10:46.339 Amber Lin: I guess what our our goal is to. Okay, what are we gonna show on Friday? So I guess on Friday we’ll have pretty good progress on the context.
111 00:10:48.450 ⇒ 00:10:56.700 Amber Lin: the Javi bot! I’ll make sure that people learn how to use them, and then small tweaks here and there
112 00:10:58.050 ⇒ 00:11:00.739 Amber Lin: and then. What else do we want to show.
113 00:11:02.486 ⇒ 00:11:11.910 Miguel de Veyra: Think for in our current cycle sales office hours, probably that one we want to schedule that upgrade contacts.
114 00:11:12.840 ⇒ 00:11:17.889 Amber Lin: Yeah, I’m I mean more of our work. Demos.
115 00:11:18.504 ⇒ 00:11:25.139 Amber Lin: Do you think finishing up the context is a big enough milestone, because we are also
116 00:11:25.570 ⇒ 00:11:27.249 Amber Lin: last week, as well.
117 00:11:29.380 ⇒ 00:11:32.739 Miguel de Veyra: I mean, because we only have until Wednesday for this week. Right.
118 00:11:32.740 ⇒ 00:11:48.939 Amber Lin: Oh, okay, I keep forgetting. That’s you’re correct. That’s good. Okay, as long as that’s that’s gonna I’ll find other small things to pepper in there to make the presentation look bigger. But I think for Wednesday getting the context done is pretty much a big thing. Right?
119 00:11:49.790 ⇒ 00:11:54.140 Amber Lin: Okay? Yeah. And then we have like tiny ABC things. So I think this is good.
120 00:11:54.890 ⇒ 00:12:01.260 Miguel de Veyra: Okay, yeah. And then the other thing, I guess, is, Josh has already submitted his.
121 00:12:01.954 ⇒ 00:12:05.610 Amber Lin: Yeah, do you? Would you like me to send it to you?
122 00:12:06.301 ⇒ 00:12:10.218 Amber Lin: Sure, I mean, forward me the his email, or whatever
123 00:12:10.960 ⇒ 00:12:18.500 Amber Lin: I I suppose most of the technical part. You have to look at it right, but I’ll also watch it, too. I’ll see how he talks and how he communicates.
124 00:12:19.990 ⇒ 00:12:24.869 Miguel de Veyra: Actually, he did submit like a loom video cause, I told him, it’s either a loom video or documentation type of.
125 00:12:24.870 ⇒ 00:12:25.430 Amber Lin: Yeah.
126 00:12:26.230 ⇒ 00:12:29.570 Miguel de Veyra: Wait! Let me send this to you.
127 00:12:30.090 ⇒ 00:12:31.470 Amber Lin: Or email me.
128 00:12:33.080 ⇒ 00:12:45.780 Miguel de Veyra: I think it’s pretty good. Of course I also had AI help me out. It’s like 7 a 7.5 to to 8.5. It depends because we had a talk over the weekend. Basically, I told him, you know.
129 00:12:45.880 ⇒ 00:12:56.299 Miguel de Veyra: cause he couldn’t get the notion stuff, cause who does the notion database stuff. So I told him. Just base it off the air table, or what he knows, because it’s the same idea. Anyways.
130 00:12:56.920 ⇒ 00:12:58.589 Miguel de Veyra: as long as you get the course.
131 00:12:58.900 ⇒ 00:12:59.510 Amber Lin: Oh!
132 00:13:04.238 ⇒ 00:13:10.279 Miguel de Veyra: But yeah, I think that’s pretty much it. Is there anything else we want to work on this week?
133 00:13:14.710 ⇒ 00:13:23.540 Amber Lin: So, Miguel, would you be busy with any anything? Cause maybe Casey needs some help here and there.
134 00:13:23.960 ⇒ 00:13:28.069 Miguel de Veyra: I can probably to work on the update bot.
135 00:13:30.880 ⇒ 00:13:31.580 Amber Lin: Sure.
136 00:13:32.050 ⇒ 00:13:34.689 Miguel de Veyra: Yeah. And honestly, I could probably work on both
137 00:13:35.060 ⇒ 00:13:40.670 Miguel de Veyra: the the update bought and the oh, by the way, suggestion, I think that’s not really that hard.
138 00:13:41.410 ⇒ 00:13:42.690 Amber Lin: Sure.
139 00:13:42.710 ⇒ 00:13:44.240 Miguel de Veyra: Yeah, I’ll I’ll talk with Casey.
140 00:13:44.240 ⇒ 00:13:52.530 Amber Lin: And then I will. I will flesh out that if you guys can help flesh out the technical requirements on the tickets, that’ll be great, because I don’t know what goes in there.
141 00:13:52.940 ⇒ 00:13:53.730 Miguel de Veyra: Okay. Okay.
142 00:13:53.730 ⇒ 00:13:55.750 Amber Lin: Yeah, sounds good.
143 00:13:58.410 ⇒ 00:14:04.659 Amber Lin: Okay. Thank you. Guys for the meeting. I’ll talk to you guys. I’ll see you guys later at the other meeting. Then.
144 00:14:05.010 ⇒ 00:14:08.740 Miguel de Veyra: I’ll probably because I’ll be at the data meeting and then I’ll hop in.
145 00:14:09.860 ⇒ 00:14:15.570 Miguel de Veyra: Yeah, this is for 1131, right? Yeah, I have a 1 on one with them at around 11, so we’ll see how that goes.
146 00:14:18.770 ⇒ 00:14:20.479 Miguel de Veyra: Okay, thanks. Everyone. Bye, bye.
147 00:14:20.480 ⇒ 00:14:26.960 Amber Lin: I think data platform meeting at 11. You might want to check with him if he can go.
148 00:14:27.750 ⇒ 00:14:28.429 Amber Lin: Oh, okay.
149 00:14:28.430 ⇒ 00:14:29.020 Miguel de Veyra: I mean.
150 00:14:29.020 ⇒ 00:14:30.920 Amber Lin: 1130. Okay, that’s good.
151 00:14:32.060 ⇒ 00:14:32.929 Miguel de Veyra: Okay. Okay.
152 00:14:33.140 ⇒ 00:14:34.330 Amber Lin: Bye, guys.
153 00:14:34.780 ⇒ 00:14:36.129 Miguel de Veyra: Bye, everyone, thank you.
154 00:14:36.410 ⇒ 00:14:37.020 Casie Aviles: Thank you.