Meeting Title: Internal AI Team | Standup Date: 2025-04-10 Meeting participants: Uttam Kumaran, Amber Lin, Miguel De Veyra, Casie Aviles
WEBVTT
1 00:00:13.170 ⇒ 00:00:14.150 Miguel de Veyra: Hey! Amber.
2 00:00:15.050 ⇒ 00:00:15.880 Amber Lin: So
3 00:00:18.099 ⇒ 00:00:26.060 Amber Lin: I feel like we’re probably just gonna mush the ABC stand up and a AI stand up into one
4 00:00:26.300 ⇒ 00:00:28.520 Amber Lin: because I needed to talk to Denise.
5 00:00:33.950 ⇒ 00:00:35.350 Amber Lin: Hello.
6 00:00:42.440 ⇒ 00:00:43.580 Amber Lin: if you’re back.
7 00:00:43.750 ⇒ 00:00:55.697 Amber Lin: So let’s start. Let’s just start with the AI cart. I know you guys were off yesterday, so I just wanna catch back on maybe what you guys said Tuesday and what we wanna do today.
8 00:00:58.702 ⇒ 00:01:09.659 Miguel de Veyra: Yeah, I guess I’ll start Tuesday. Honestly, I already forgot what I worked on. It’s more. It’s most probably around the recruiting thing, and then the technical stuff. I planned it out
9 00:01:09.760 ⇒ 00:01:16.793 Miguel de Veyra: for the sales stuff for Robert, which is. And then I worked on it. Today.
10 00:01:17.520 ⇒ 00:01:21.390 Miguel de Veyra: I am almost done with it. Wait, let me just share screen.
11 00:01:21.390 ⇒ 00:01:22.470 Amber Lin: Whoa!
12 00:01:24.240 ⇒ 00:01:29.890 Miguel de Veyra: Wait. Let me, where is super base? Here? Yeah.
13 00:01:30.580 ⇒ 00:01:31.439 Miguel de Veyra: Screen one.
14 00:01:32.460 ⇒ 00:01:34.220 Miguel de Veyra: Okay. Yeah. Can you guys see it?
15 00:01:35.200 ⇒ 00:01:36.590 Miguel de Veyra: So basically.
16 00:01:38.200 ⇒ 00:01:44.659 Miguel de Veyra: Basically what we do now is we get the leads. And
17 00:01:47.660 ⇒ 00:02:15.540 Miguel de Veyra: in notion the ones in circle back, we just get all of the those using a script I wrote. And then there’s 2 things we do. We extract everything we save it into this file. And then with another post request which basically gets all that, Jason, and then just push them into here. And then from that it’s just a matter of scheduling, you know, checking the super base for the latest ones.
18 00:02:16.000 ⇒ 00:02:18.110 Miguel de Veyra: And then, yeah, I think that should be it.
19 00:02:18.600 ⇒ 00:02:22.740 Miguel de Veyra: But the thing is, the the thing we have to tell them is for content.
20 00:02:22.920 ⇒ 00:02:25.120 Miguel de Veyra: Right? Because this is basically what the
21 00:02:26.030 ⇒ 00:02:34.420 Miguel de Veyra: insights are we? They have to put something inside. We can’t work with images. That’s a whole new ticket again, which you know.
22 00:02:36.270 ⇒ 00:02:41.060 Miguel de Veyra: Yeah, they have to basically put the content here, because basically I’m just getting everything inside it.
23 00:02:41.680 ⇒ 00:02:46.930 Amber Lin: So if they update it in notion, does it automatically update here as well.
24 00:02:47.475 ⇒ 00:03:05.930 Miguel de Veyra: Nope, Nope, this will. This will run on schedule. So, for example, it will run every 2 weeks, and then during that week this runs. These are all these are all gonna be updated, or me most, it’s still gonna be kept here. It’s just gonna add, and then it’s gonna be another created app. And then we’re gonna we’re only gonna get the latest created app.
25 00:03:07.100 ⇒ 00:03:13.379 Amber Lin: Okay. So every 2 weeks. So if if I make Robert make the changes, I’ll tell you, and then we’ll manually update it.
26 00:03:14.000 ⇒ 00:03:18.389 Miguel de Veyra: Yeah, or we can do Mondays to be honest, like every Monday. I’ll just thrown it
27 00:03:18.620 ⇒ 00:03:22.720 Miguel de Veyra: so we can see Monday that, hey? Here’s everything. Yadda, yadda.
28 00:03:23.190 ⇒ 00:03:32.510 Amber Lin: Sounds good. Yeah, and this goes through the kind of like the P record analysis thing. The demo thing you showed me.
29 00:03:33.135 ⇒ 00:03:38.770 Miguel de Veyra: Yeah, basically, that’s what we’re gonna what that’s what I’m gonna do with any. Then.
30 00:03:40.810 ⇒ 00:03:49.409 Amber Lin: So ultimately it suggests a follow up message. So I should get some. Follow up message examples.
31 00:03:50.080 ⇒ 00:03:57.499 Miguel de Veyra: Yeah, but the thing is, we can’t really get it, because the content aren’t there? So even if
32 00:03:57.640 ⇒ 00:03:59.140 Miguel de Veyra: we get this.
33 00:04:04.340 ⇒ 00:04:08.560 Miguel de Veyra: Even if we get this, I don’t think we can really do anything, because we need content.
34 00:04:08.960 ⇒ 00:04:09.970 Amber Lin: Content.
35 00:04:10.460 ⇒ 00:04:11.709 Miguel de Veyra: Inside the page.
36 00:04:11.900 ⇒ 00:04:18.219 Amber Lin: Oh, yeah, I put a note to get get it from Robert.
37 00:04:18.390 ⇒ 00:04:21.790 Amber Lin: or I can just convert the images to text.
38 00:04:22.580 ⇒ 00:04:25.230 Miguel de Veyra: So yeah, I would say, this, too, is
39 00:04:26.360 ⇒ 00:04:31.969 Miguel de Veyra: extract. Data is technically done. I’ll just move it to pr review
40 00:04:33.680 ⇒ 00:04:37.140 Miguel de Veyra: and then develop any and to analyze leads.
41 00:04:45.450 ⇒ 00:04:49.229 Amber Lin: It would give like a notice to follow up with them right.
42 00:04:51.050 ⇒ 00:04:55.180 Miguel de Veyra: Yeah, it’s gonna ideally send to. I think we mentioned your slack channel.
43 00:04:55.880 ⇒ 00:04:56.850 Amber Lin: Hmm.
44 00:04:57.490 ⇒ 00:04:59.510 Miguel de Veyra: It’s gonna send.
45 00:05:00.630 ⇒ 00:05:01.320 Miguel de Veyra: Yeah.
46 00:05:01.870 ⇒ 00:05:07.769 Miguel de Veyra: So ideally, I’m just gonna send it via. I don’t know in brain force leadership, or maybe in sales.
47 00:05:07.770 ⇒ 00:05:08.510 Amber Lin: Hmm.
48 00:05:08.510 ⇒ 00:05:10.320 Miguel de Veyra: I’ll just send it here, and hey.
49 00:05:10.420 ⇒ 00:05:12.150 Amber Lin: Here’s the stuff you can, you know.
50 00:05:12.680 ⇒ 00:05:13.950 Amber Lin: Cool. Okay.
51 00:05:16.660 ⇒ 00:05:17.220 Amber Lin: Yeah.
52 00:05:17.220 ⇒ 00:05:28.849 Miguel de Veyra: And then, yeah, I think that’s good. Because I wanted. I want I want to work on this today and tomorrow make sure. You know it’s ready for the demo. At least, I can just record a loom video. So we have something to show.
53 00:05:29.050 ⇒ 00:05:30.150 Amber Lin: Okay.
54 00:05:30.690 ⇒ 00:05:32.920 Miguel de Veyra: And then the other thing.
55 00:05:36.540 ⇒ 00:05:41.859 Miguel de Veyra: Casey, is there a way we can add basically that slack bot to here?
56 00:05:44.050 ⇒ 00:05:46.129 Casie Aviles: To this sales channel.
57 00:05:46.820 ⇒ 00:05:49.410 Miguel de Veyra: No, no like remember the notion thing.
58 00:05:49.930 ⇒ 00:05:56.499 Miguel de Veyra: Shit sorry, my bad anything the what do you call it?
59 00:05:59.070 ⇒ 00:06:09.019 Miguel de Veyra: Wait, give me a moment, the general, what do you call it? What do we call it? General Gpt.
60 00:06:12.210 ⇒ 00:06:15.130 Miguel de Veyra: is it? No, it’s not this one general purpose bought.
61 00:06:19.120 ⇒ 00:06:20.350 Miguel de Veyra: is it this one.
62 00:06:21.100 ⇒ 00:06:23.199 Casie Aviles: Sorry. What? What are you looking for? Exactly.
63 00:06:24.030 ⇒ 00:06:27.840 Miguel de Veyra: The general purpose. What that autumn wants, that we basically change.
64 00:06:30.250 ⇒ 00:06:32.230 Casie Aviles: You mean the Gbt. 4 0. Endpoint.
65 00:06:32.230 ⇒ 00:06:33.239 Miguel de Veyra: Yeah, yeah, yeah.
66 00:06:33.420 ⇒ 00:06:35.800 Casie Aviles: Yeah, this one, okay, yeah.
67 00:06:36.370 ⇒ 00:06:39.710 Miguel de Veyra: What does it say, yeah.
68 00:06:40.070 ⇒ 00:06:41.855 Miguel de Veyra: Okay. Ga, yeah.
69 00:06:43.060 ⇒ 00:06:47.030 Miguel de Veyra: is there a way we can communicate with this now or not? Yet there is right. Where did you put.
70 00:06:47.030 ⇒ 00:06:53.440 Casie Aviles: Yeah, yeah, the people people are using it on the AI Agents Channel. Oh, I think they renamed it.
71 00:06:55.680 ⇒ 00:06:58.719 Amber Lin: I don’t think I hotel, apparently. Now, if you want.
72 00:06:58.720 ⇒ 00:06:59.700 Miguel de Veyra: What’s the name?
73 00:07:00.020 ⇒ 00:07:04.459 Amber Lin: Yeah, sure and tell it’s on the left, a little bit right above the channels.
74 00:07:04.810 ⇒ 00:07:12.050 Amber Lin: AI show and tell, yeah up up. Yeah, shit.
75 00:07:12.050 ⇒ 00:07:13.170 Casie Aviles: Yeah, it’s there.
76 00:07:13.480 ⇒ 00:07:14.559 Miguel de Veyra: Are people using it?
77 00:07:15.820 ⇒ 00:07:16.340 Amber Lin: Utility.
78 00:07:16.340 ⇒ 00:07:18.269 Miguel de Veyra: Oh, okay, okay.
79 00:07:25.650 ⇒ 00:07:26.600 Miguel de Veyra: okay.
80 00:07:27.500 ⇒ 00:07:31.939 Miguel de Veyra: why is it showing? Okay? So that that should be done? We should move that to done? Because Utam’s clearly using it.
81 00:07:32.950 ⇒ 00:07:33.959 Miguel de Veyra: Where is that?
82 00:07:34.120 ⇒ 00:07:34.820 Miguel de Veyra: Was it.
83 00:07:35.120 ⇒ 00:07:36.759 Amber Lin: I think it has been moved to that.
84 00:07:36.760 ⇒ 00:07:38.511 Amber Lin: I’ve already moved it.
85 00:07:39.340 ⇒ 00:07:40.510 Miguel de Veyra: Who moved it. Sorry.
86 00:07:40.510 ⇒ 00:07:41.729 Amber Lin: I moved it I saw that.
87 00:07:41.730 ⇒ 00:07:42.450 Miguel de Veyra: Oh, okay. Okay.
88 00:07:42.450 ⇒ 00:07:45.100 Amber Lin: You know, I was like, Okay, this is done for us.
89 00:07:45.500 ⇒ 00:07:50.059 Miguel de Veyra: Okay. Okay, yeah, that’s fine. Then. Okay, at least, there’s 2 already that we can show.
90 00:07:50.280 ⇒ 00:07:53.980 Amber Lin: Yes, remove the prospects there.
91 00:07:56.030 ⇒ 00:08:00.380 Miguel de Veyra: Yeah. And then, if you show some issues, wait, let me just see.
92 00:08:01.180 ⇒ 00:08:05.770 Miguel de Veyra: I think I should probably do rename. I’ll work on this ticket rename that
93 00:08:07.410 ⇒ 00:08:13.840 Miguel de Veyra: the Ga prompt library. And honestly, I think we should just throw this away, like should mark this done the Prompt library
94 00:08:15.546 ⇒ 00:08:17.230 Miguel de Veyra: because it’s is there.
95 00:08:17.480 ⇒ 00:08:18.350 Amber Lin: Yeah, that’s true.
96 00:08:18.350 ⇒ 00:08:19.000 Miguel de Veyra: It’s a bit more.
97 00:08:19.000 ⇒ 00:08:29.770 Amber Lin: I’ll make. I’ll make another task to. I’ll schedule some workshops for the different teams. Get that in progress, but I’ll write that down as my.
98 00:08:29.770 ⇒ 00:08:39.930 Miguel de Veyra: And then I think the one that they’ll really like see, is this slack messages, or the the basically the meeting summarizer or the task summarizer.
99 00:08:42.260 ⇒ 00:08:45.090 Casie Aviles: Yeah, that I think I’ll work on that today.
100 00:08:45.860 ⇒ 00:08:51.480 Miguel de Veyra: Yeah. And so that one, what source are you gonna use Casey, zoom or slack?
101 00:08:51.930 ⇒ 00:08:56.239 Miguel de Veyra: Just the existing one? No, yeah. Yeah. Just edit the existing one.
102 00:08:56.860 ⇒ 00:09:02.959 Miguel de Veyra: And then this one we can work on tomorrow using. How’s our polytomic progress here? By the way.
103 00:09:04.740 ⇒ 00:09:05.950 Casie Aviles: For slack.
104 00:09:06.450 ⇒ 00:09:07.150 Miguel de Veyra: Yeah.
105 00:09:09.463 ⇒ 00:09:17.879 Casie Aviles: Yeah, I mean, I did manage to pull the data from slack. But it’s not getting the right channels
106 00:09:18.020 ⇒ 00:09:20.599 Casie Aviles: that I that we want to track. So.
107 00:09:21.620 ⇒ 00:09:23.790 Miguel de Veyra: Is that a permissions issue? Baha.
108 00:09:26.310 ⇒ 00:09:26.860 Casie Aviles: I don’t.
109 00:09:26.860 ⇒ 00:09:27.290 Miguel de Veyra: Would be.
110 00:09:27.290 ⇒ 00:09:29.530 Casie Aviles: So, because.
111 00:09:30.160 ⇒ 00:09:41.669 Casie Aviles: yeah, I’m not sure. If it’s a it’s with polytomic. But I’ll I’ll try something else. If it works. Then, if it doesn’t. Then I guess, will be, yeah.
112 00:09:42.190 ⇒ 00:09:46.070 Miguel de Veyra: Yeah. And then the other major issue we have amber is.
113 00:09:46.070 ⇒ 00:09:46.710 Amber Lin: Hold on!
114 00:09:47.734 ⇒ 00:09:57.299 Miguel de Veyra: Dlt can’t handle Mp, 4 files. So no large files. Only text. So it’s kind of yeah, we still have to run.
115 00:09:57.830 ⇒ 00:10:02.599 Miguel de Veyra: We still have to run, you know, a normal script to upload to S. 3.
116 00:10:02.710 ⇒ 00:10:06.620 Miguel de Veyra: But we can. We can. We can use them side by side, use the metadata
117 00:10:07.080 ⇒ 00:10:10.960 Miguel de Veyra: I use use dlt to basically search the metadata.
118 00:10:11.700 ⇒ 00:10:14.660 Miguel de Veyra: Upload it. So yeah, it’s gonna run side by side.
119 00:10:14.780 ⇒ 00:10:15.240 Amber Lin: Okay.
120 00:10:15.240 ⇒ 00:10:21.289 Miguel de Veyra: So. And then, yeah, okay, yeah, I think that’s pretty much on our end. No, Casey.
121 00:10:21.290 ⇒ 00:10:25.704 Amber Lin: That’s pretty good stuff to have by Friday, I think that’s quite a bit of work.
122 00:10:26.080 ⇒ 00:10:31.829 Amber Lin: And then next week we’ll probably wrap up all the contextual foundational stuff, and then
123 00:10:33.956 ⇒ 00:10:41.700 Miguel de Veyra: See what else we want to work on for the maybe for the easy ones or the medium stuff. We’ll we’ll pull something out from the backlog.
124 00:10:43.110 ⇒ 00:10:47.649 Miguel de Veyra: Yeah. So ideally, we can get some, some. Most of it done by Wednesday.
125 00:10:47.980 ⇒ 00:10:48.390 Amber Lin: Hmm.
126 00:10:48.390 ⇒ 00:10:49.010 Casie Aviles: I think.
127 00:10:49.410 ⇒ 00:10:55.090 Casie Aviles: Yeah, I the only one that I don’t really have much progress on is ABC, like with
128 00:10:55.660 ⇒ 00:10:56.970 Casie Aviles: the trainer bot.
129 00:10:57.850 ⇒ 00:11:04.039 Amber Lin: Oh, I mean I I think we can leave that on next next week. Were you working on.
130 00:11:04.040 ⇒ 00:11:06.480 Casie Aviles: For next week, no.
131 00:11:06.480 ⇒ 00:11:14.320 Amber Lin: Yeah, I think we can save it for next week, because this week is a lot of announcements and different things.
132 00:11:14.320 ⇒ 00:11:16.450 Miguel de Veyra: I don’t think the client is looking for it, anyways. No.
133 00:11:16.640 ⇒ 00:11:19.060 Amber Lin: Yeah, can I share my screen? So I can.
134 00:11:19.060 ⇒ 00:11:20.040 Miguel de Veyra: Okay. Sure.
135 00:11:20.160 ⇒ 00:11:21.960 Amber Lin: Take you guys through this.
136 00:11:21.960 ⇒ 00:11:23.939 Uttam Kumaran: Hi, guys, I just joined to listen in.
137 00:11:24.210 ⇒ 00:11:24.660 Amber Lin: Bye.
138 00:11:24.660 ⇒ 00:11:25.380 Miguel de Veyra: Hey uten!
139 00:11:26.450 ⇒ 00:11:31.230 Amber Lin: We’re we just finished the AI. Stand up. We’re doing the ABC. Stand up now.
140 00:11:31.410 ⇒ 00:11:32.010 Uttam Kumaran: Okay.
141 00:11:33.560 ⇒ 00:11:37.430 Amber Lin: So right here think
142 00:11:38.260 ⇒ 00:11:49.930 Amber Lin: I will send the link to them. But I think that’s that’s easy. What I have here is the the training, but I think we leave for next week. I marked a deadline
143 00:11:50.581 ⇒ 00:11:54.599 Amber Lin: as end of end of next week, because I think
144 00:11:54.760 ⇒ 00:11:59.040 Amber Lin: we don’t have too much time before the Friday demo.
145 00:12:00.406 ⇒ 00:12:06.299 Amber Lin: And there’s a few things, especially the
146 00:12:06.430 ⇒ 00:12:12.719 Amber Lin: where is it? The oh, by the ways that we want to emphasize, I think, as long as we nail that they’ll be happy.
147 00:12:13.840 ⇒ 00:12:15.670 Amber Lin: So on that
148 00:12:15.930 ⇒ 00:12:36.629 Amber Lin: Annie’s taking care of the figure out. Oh, by the way, frequency! She already figured out if they did. Oh, by the ways, and it’s on the dashboard already. I saw that, and it was great asking her to do frequency per category. I sent her the different categories. So she’s working on that right now.
149 00:12:37.299 ⇒ 00:12:53.289 Amber Lin: So the dashboard is pretty good. She’s working with Brian to connect the bot data to the 8 by 8. Data is a little bit stuck, but pretty good progress. I’ll say we’re on track with that as well.
150 00:12:53.540 ⇒ 00:13:02.809 Amber Lin: the Api thing, Brian said. He’ll look into it. So I’m gonna let him look into it before I give it to you guys so I can save you some time.
151 00:13:03.440 ⇒ 00:13:04.789 Amber Lin: John. That’s good.
152 00:13:05.270 ⇒ 00:13:06.640 Amber Lin: And
153 00:13:07.990 ⇒ 00:13:21.630 Amber Lin: the other part is all about the rollout. So I’m coordinating with your engineers on that. I’m gonna get all their usernames. Hopefully, I asked yesterday, hopefully, I get it by today. So I can ask hit. Ask Tim to give them access.
154 00:13:22.450 ⇒ 00:13:32.069 Amber Lin: So I think for you guys, or just for Casey. Probably it’s the where is it?
155 00:13:32.740 ⇒ 00:13:36.920 Amber Lin: The oh, by the way, it’s cause they sent a
156 00:13:37.220 ⇒ 00:13:41.819 Amber Lin: we sent it. Oh, by the way, for the window cleaning.
157 00:13:42.240 ⇒ 00:13:44.290 Amber Lin: Oh, gosh, where did it go?
158 00:13:48.350 ⇒ 00:13:54.000 Amber Lin: Did them, oh, I feel like, I moved it yesterday. But remember, they sent a
159 00:13:54.320 ⇒ 00:14:06.030 Amber Lin: window cleaning, upsell Utah, I want to confirm we can have. We can have non pest upsells in. Oh, by the ways, right.
160 00:14:08.840 ⇒ 00:14:13.040 Uttam Kumaran: Yeah, well, I guess this is where, like, we probably need to have a conversation tomorrow with them.
161 00:14:13.500 ⇒ 00:14:14.230 Amber Lin: Oh,
162 00:14:15.290 ⇒ 00:14:23.689 Uttam Kumaran: On like, if we’re gonna handle all of by the ways or not. So I think we can just escalate this to, we could just have this be blocked and discuss it tomorrow
163 00:14:24.500 ⇒ 00:14:34.800 Uttam Kumaran: for my from my lens. I’m not sure, because, technically like every Csr, no matter what team they’re on. Oh, by the way, is upsell to a different service line, right.
164 00:14:34.800 ⇒ 00:14:35.700 Amber Lin: Right.
165 00:14:37.390 ⇒ 00:14:37.780 Uttam Kumaran: Yeah.
166 00:14:37.780 ⇒ 00:14:46.549 Amber Lin: Makes sense, and I know I I’m I was afraid to escalate tomorrow, because this is one thing they wanted last Friday.
167 00:14:47.810 ⇒ 00:14:50.970 Amber Lin: like we could. This I don’t.
168 00:14:50.970 ⇒ 00:14:51.339 Uttam Kumaran: I didn’t.
169 00:14:51.340 ⇒ 00:14:57.229 Amber Lin: We can add it to context like, I don’t know how long this will take. It doesn’t seem like it’ll take too long.
170 00:15:02.160 ⇒ 00:15:04.480 Uttam Kumaran: I mean I then we should go ahead and do it. Then.
171 00:15:05.180 ⇒ 00:15:08.890 Amber Lin: Yeah. And then we can clarify on Friday. And if they say
172 00:15:10.450 ⇒ 00:15:13.869 Uttam Kumaran: Just just to understand, like, yeah, how it works for them.
173 00:15:14.710 ⇒ 00:15:28.109 Amber Lin: Yeah, I it is like, I know, they want different offer lines. What I’m not sure about is, if you want to do non pest upsells when we’re still in the pest phase. I know they want these.
174 00:15:28.110 ⇒ 00:15:30.859 Uttam Kumaran: I think it’s fine to go ahead and do.
175 00:15:31.913 ⇒ 00:15:36.170 Uttam Kumaran: One of the things that we’re gonna basically the way we’re gonna price. This is
176 00:15:36.825 ⇒ 00:15:43.540 Uttam Kumaran: based on volume. So as this goes to more and more divisions. We’re just gonna make more money that way.
177 00:15:43.540 ⇒ 00:15:43.920 Amber Lin: Okay.
178 00:15:43.920 ⇒ 00:15:53.039 Uttam Kumaran: So it’s fine. And then, later in the next quarter, we’ll start to measure like how many of these we affected, so we can see like whether we actually are pricing accurately. So I think it’s fine.
179 00:15:53.290 ⇒ 00:15:53.540 Amber Lin: Let’s.
180 00:15:53.540 ⇒ 00:15:54.770 Uttam Kumaran: Let’s go ahead and do it.
181 00:15:55.010 ⇒ 00:15:56.460 Amber Lin: Okay, sounds good.
182 00:15:56.630 ⇒ 00:16:00.690 Amber Lin: So, Casey, would you be able to add it?
183 00:16:01.848 ⇒ 00:16:05.760 Amber Lin: Today, or just before the before the meeting?
184 00:16:06.340 ⇒ 00:16:07.630 Amber Lin: Yeah.
185 00:16:07.630 ⇒ 00:16:09.249 Casie Aviles: It’s a matter of changing the prompt.
186 00:16:09.670 ⇒ 00:16:13.919 Amber Lin: Yeah, okay, sounds good, can I? What do you say? Is this.
187 00:16:13.920 ⇒ 00:16:16.149 Miguel de Veyra: I think we just copy paste. This prompt. There.
188 00:16:16.150 ⇒ 00:16:18.080 Amber Lin: Yeah, okay. I’ll put.
189 00:16:18.080 ⇒ 00:16:18.969 Miguel de Veyra: Like under the old.
190 00:16:18.970 ⇒ 00:16:19.300 Amber Lin: No worries.
191 00:16:19.300 ⇒ 00:16:19.830 Miguel de Veyra: Section.
192 00:16:19.830 ⇒ 00:16:26.180 Amber Lin: Yeah, emphasize this offer for until until they tell us not to, I guess
193 00:16:26.320 ⇒ 00:16:29.159 Amber Lin: so I can put 1 point or 2 points.
194 00:16:29.621 ⇒ 00:16:32.649 Miguel de Veyra: Probably one year. We’ll just test it a bit, and then we’ll let you know.
195 00:16:32.650 ⇒ 00:16:33.296 Amber Lin: Sounds good.
196 00:16:34.340 ⇒ 00:16:40.208 Amber Lin: Yeah, that’s probably the only thing. And also this thing in the morning.
197 00:16:41.780 ⇒ 00:16:54.509 Amber Lin: it’s we tried to change the central doc. But then it’s still answered that it can have any technician. I think they want to emphasize that for those to specify they must
198 00:16:54.640 ⇒ 00:17:01.120 Amber Lin: dispatch a rodent technician it like I. The changing the central dock didn’t change anything.
199 00:17:01.550 ⇒ 00:17:06.269 Miguel de Veyra: So, you know, I think I think, yeah, we have to be a bit more strict on the services.
200 00:17:06.270 ⇒ 00:17:10.779 Amber Lin: Yeah, okay, can. I put 1 point.
201 00:17:11.819 ⇒ 00:17:12.609 Miguel de Veyra: Probably not.
202 00:17:13.130 ⇒ 00:17:13.849 Amber Lin: Oh!
203 00:17:14.119 ⇒ 00:17:17.049 Miguel de Veyra: I can do 2 here, cause we need to test this a bit.
204 00:17:17.930 ⇒ 00:17:21.450 Amber Lin: Oh, 2 points is like 3 h, though.
205 00:17:23.490 ⇒ 00:17:24.749 Miguel de Veyra: Yeah, I would say, too.
206 00:17:25.180 ⇒ 00:17:26.289 Amber Lin: Oh, really, okay.
207 00:17:26.940 ⇒ 00:17:27.999 Amber Lin: And I’ll put.
208 00:17:28.000 ⇒ 00:17:42.070 Miguel de Veyra: Is there any other services that they we might need to put that there cause? I don’t. I don’t think sec. Second story wasp nest are the only thing right. What else can you share this? What page is this in the document? Because I think they’re just gonna run the test on everything.
209 00:17:42.070 ⇒ 00:17:42.430 Amber Lin: Yeah.
210 00:17:42.430 ⇒ 00:17:44.030 Miguel de Veyra: So we probably need to add that.
211 00:17:44.030 ⇒ 00:17:47.890 Amber Lin: Page 53, I think, and then
212 00:17:48.470 ⇒ 00:17:52.909 Amber Lin: we can always search, say, rodent tech or a specific.
213 00:17:53.130 ⇒ 00:17:55.269 Amber Lin: Let me search tech.
214 00:17:56.050 ⇒ 00:17:57.000 Miguel de Veyra: Okay. Okay.
215 00:17:57.000 ⇒ 00:18:07.520 Amber Lin: Yeah, I think if we search tech there will. It will specify like specific technicians. If you go through the search results.
216 00:18:07.840 ⇒ 00:18:10.500 Amber Lin: I think, yeah.
217 00:18:11.240 ⇒ 00:18:13.019 Miguel de Veyra: Okay. Yeah. Sure. Well.
218 00:18:13.240 ⇒ 00:18:14.519 Amber Lin: I’ll work on that.
219 00:18:16.030 ⇒ 00:18:19.900 Amber Lin: Okay, yeah. And then that should be.
220 00:18:20.790 ⇒ 00:18:25.019 Amber Lin: That should be it. Oh, let me let me show you guys the
221 00:18:27.090 ⇒ 00:18:30.019 Amber Lin: the dashboard changes that Annie made.
222 00:18:31.730 ⇒ 00:18:33.469 Amber Lin: Oh, where is it? Here?
223 00:18:33.610 ⇒ 00:18:41.149 Amber Lin: Yeah, we have a used. Oh, by the way, we have a little section right now. Most of it don’t suggest any. Oh, by the ways.
224 00:18:42.240 ⇒ 00:18:44.660 Amber Lin: because right now for the past.
225 00:18:45.380 ⇒ 00:18:47.679 Amber Lin: for the past 7 days we have 2.
226 00:18:51.140 ⇒ 00:18:51.770 Casie Aviles: Okay.
227 00:18:52.190 ⇒ 00:18:55.820 Amber Lin: Do we want to do that a bit more?
228 00:18:56.490 ⇒ 00:18:58.649 Amber Lin: Do, though, by the ways, a bit more.
229 00:19:06.250 ⇒ 00:19:07.530 Amber Lin: You guys hear me? Thank you.
230 00:19:08.060 ⇒ 00:19:09.000 Casie Aviles: 8, dot.
231 00:19:09.000 ⇒ 00:19:09.580 Miguel de Veyra: Oh, shit sorry.
232 00:19:11.120 ⇒ 00:19:15.029 Casie Aviles: I think we have to take a look at the the exchange like
233 00:19:16.724 ⇒ 00:19:19.150 Casie Aviles: if it warrants a an update.
234 00:19:19.150 ⇒ 00:19:20.859 Miguel de Veyra: Oh, by the way, yeah.
235 00:19:20.860 ⇒ 00:19:28.370 Casie Aviles: Because maybe the interaction doesn’t require a Oh, by the way, but yeah, I I want no checks.
236 00:19:28.370 ⇒ 00:19:40.249 Miguel de Veyra: Yeah. And then, yeah. And then, are there like specific cause, what we can do? Another thing we can do is like every specific, every you know, every conversation, every replies. There’s an old, by the way.
237 00:19:40.660 ⇒ 00:19:46.250 Miguel de Veyra: cause right now it’s like, unless a specific cause, I think the ro, by the way right now is very specific.
238 00:19:48.400 ⇒ 00:20:02.940 Amber Lin: Yeah, I think I think in the in the ticket, in the ticket, ABC, 2, 30. After the window washing, you have to also put in a few cases where you would say, Oh, by the ways.
239 00:20:03.660 ⇒ 00:20:07.520 Amber Lin: So if we take that, maybe we can also
240 00:20:07.810 ⇒ 00:20:14.030 Amber Lin: have the bot. Learn from that like these are some examples of when you are off, when you can offer, or by the ways.
241 00:20:14.680 ⇒ 00:20:18.300 Miguel de Veyra: Yeah, we’ll probably just add this here, because right now, our oh, by the way, is just
242 00:20:18.510 ⇒ 00:20:26.780 Miguel de Veyra: when discussing a service proactively suggest relevant, add ons or premium services. But we did. We weren’t really provided with what those.
243 00:20:26.980 ⇒ 00:20:27.410 Amber Lin: Don’t say.
244 00:20:27.410 ⇒ 00:20:28.700 Miguel de Veyra: Premium services are.
245 00:20:28.960 ⇒ 00:20:29.680 Amber Lin: And.
246 00:20:31.990 ⇒ 00:20:34.690 Miguel de Veyra: Right. So, for example, there’s no example. So.
247 00:20:35.150 ⇒ 00:20:37.190 Amber Lin: I see. So I think this would help right.
248 00:20:37.190 ⇒ 00:20:38.179 Miguel de Veyra: Okay. Yeah.
249 00:20:38.530 ⇒ 00:20:40.290 Amber Lin: Yeah, okay.
250 00:20:40.860 ⇒ 00:20:42.700 Miguel de Veyra: What number is this? 2 30 allowed it now.
251 00:20:42.700 ⇒ 00:20:46.490 Amber Lin: Yeah, it’s to this one.
252 00:20:47.930 ⇒ 00:20:57.155 Amber Lin: So I think they want to. 1st of all, they want to suggest different service lines. I don’t know if we have that type in there,
253 00:21:15.830 ⇒ 00:21:19.819 Amber Lin: share the top where it has different.
254 00:21:20.730 ⇒ 00:21:24.940 Miguel de Veyra: Okay. Yeah, I added that we’ll we’ll just test it out a bit, and then we’ll see.
255 00:21:25.190 ⇒ 00:21:27.990 Miguel de Veyra: Then the A central dock is 53, right?
256 00:21:29.850 ⇒ 00:21:30.700 Miguel de Veyra: 53.
257 00:21:56.750 ⇒ 00:21:58.240 Amber Lin: Yeah, I think that’s fine.
258 00:22:03.720 ⇒ 00:22:05.160 Miguel de Veyra: Second story.
259 00:22:23.020 ⇒ 00:22:25.880 Miguel de Veyra: Okay, yeah. Yeah, we’ll get to work.
260 00:22:26.150 ⇒ 00:22:28.219 Amber Lin: Alrighty. Thank you, guys for the meeting.
261 00:22:29.010 ⇒ 00:22:29.700 Uttam Kumaran: You.
262 00:22:30.290 ⇒ 00:22:31.290 Miguel de Veyra: Thanks, everyone. Bye, bye.
263 00:22:31.290 ⇒ 00:22:31.920 Amber Lin: Fine.