Meeting Title: ABC Standup Date: 2025-09-05 Meeting participants: Mustafa Raja, Casie Aviles, Amber Lin
WEBVTT
1 00:00:10.090 ⇒ 00:00:10.799 Mustafa Raja: How are you?
2 00:00:12.460 ⇒ 00:00:16.329 Casie Aviles: Yeah, still the same. Still working on some stuff.
3 00:00:17.180 ⇒ 00:00:18.339 Mustafa Raja: Yeah, same.
4 00:01:01.700 ⇒ 00:01:03.139 Mustafa Raja: Any plans for the weekend?
5 00:01:04.569 ⇒ 00:01:05.479 Casie Aviles: Hmm.
6 00:01:07.810 ⇒ 00:01:16.439 Mustafa Raja: I’m just a little tired. Yeah, I’m just somewhat tired. I have plans, but I’m thinking, you know.
7 00:01:16.630 ⇒ 00:01:18.579 Casie Aviles: Just stay in dress.
8 00:01:18.720 ⇒ 00:01:19.820 Mustafa Raja: Yeah.
9 00:01:19.920 ⇒ 00:01:24.070 Mustafa Raja: I don’t know, maybe, maybe I’ll, I’ll cancel something, I don’t know.
10 00:01:25.800 ⇒ 00:01:32.069 Casie Aviles: Yeah, I mean… If rest is all you need, then what’s wrong with that?
11 00:01:32.070 ⇒ 00:01:33.000 Mustafa Raja: Yeah.
12 00:01:33.330 ⇒ 00:01:43.329 Casie Aviles: That it’s not, you know, we’re not always supposed to, like, go on crazy adventures. It’s fine, like, normal stuff is fine.
13 00:01:44.200 ⇒ 00:01:44.940 Mustafa Raja: Yeah.
14 00:01:45.120 ⇒ 00:01:48.519 Mustafa Raja: Noble stuff is extra good.
15 00:01:48.710 ⇒ 00:01:49.380 Casie Aviles: Hmm.
16 00:01:50.030 ⇒ 00:01:51.180 Amber Lin: Hello!
17 00:01:51.690 ⇒ 00:01:52.110 Mustafa Raja: Hey.
18 00:01:52.110 ⇒ 00:01:52.770 Casie Aviles: Hey.
19 00:01:54.140 ⇒ 00:02:01.460 Amber Lin: Let’s start with… Start with Insomnia Cookies, how are things going there?
20 00:02:02.820 ⇒ 00:02:09.769 Casie Aviles: Yeah, right now I’m currently working on it, so for this, I was able to successfully
21 00:02:10.789 ⇒ 00:02:15.129 Casie Aviles: go to the website, so now I’m just figuring out…
22 00:02:16.410 ⇒ 00:02:21.629 Casie Aviles: Like, how do… like, getting to do actions automatically, so…
23 00:02:21.960 ⇒ 00:02:26.490 Casie Aviles: As far as I was able to do, I’m able to get, like.
24 00:02:28.160 ⇒ 00:02:38.399 Casie Aviles: like, the checkbox. So, right now, I’m gonna work on actually generating the report and downloading it, but should be able to do this within EOD.
25 00:02:39.480 ⇒ 00:02:47.610 Amber Lin: Okay, awesome. Do we know anything on the… oh, I guess we’re waiting for access, so never mind.
26 00:02:47.810 ⇒ 00:02:49.720 Amber Lin: On the meta side.
27 00:02:49.910 ⇒ 00:02:50.870 Casie Aviles: Yeah.
28 00:02:51.000 ⇒ 00:02:57.840 Amber Lin: As… Box.
29 00:02:59.810 ⇒ 00:03:01.089 Amber Lin: Sounds good.
30 00:03:01.580 ⇒ 00:03:09.089 Casie Aviles: I think also I’m going to do a… what do you call this? A new SOP for the automated
31 00:03:09.760 ⇒ 00:03:11.000 Casie Aviles: Hmm. Process.
32 00:03:12.720 ⇒ 00:03:19.290 Casie Aviles: Sounds cool. So, yeah, I’ll just work on that as I go through… as I finish each automation.
33 00:03:19.490 ⇒ 00:03:26.410 Amber Lin: Okay. Automation, please. For the manual fill, right?
34 00:03:27.450 ⇒ 00:03:28.349 Casie Aviles: Yes, but…
35 00:03:28.350 ⇒ 00:03:29.490 Amber Lin: Okay.
36 00:03:29.490 ⇒ 00:03:31.280 Casie Aviles: Yeah, yeah, that’s… that’s right.
37 00:03:32.160 ⇒ 00:03:33.540 Amber Lin: Sounds good.
38 00:03:47.740 ⇒ 00:03:49.939 Amber Lin: Okay, what’s that?
39 00:03:50.210 ⇒ 00:03:59.580 Amber Lin: And then on the ABC side… Oh… Let’s go down… Okay.
40 00:04:01.420 ⇒ 00:04:03.819 Amber Lin: Staffa, so on this side.
41 00:04:04.910 ⇒ 00:04:06.439 Mustafa Raja: Yeah, so.
42 00:04:06.750 ⇒ 00:04:08.299 Amber Lin: Just that one, right?
43 00:04:09.100 ⇒ 00:04:15.699 Amber Lin: Yeah, the central dog, is dragged. We can ask questions about…
44 00:04:15.950 ⇒ 00:04:18.910 Mustafa Raja: About Dak, how many she’ll answer.
45 00:04:19.240 ⇒ 00:04:30.590 Mustafa Raja: I just need to, connect the sheets. Now, for that, I haven’t taken a look at the sheets, but do you think we’ll have to, what’s it called, flatten and normalize them?
46 00:04:31.570 ⇒ 00:04:33.970 Amber Lin: Let’s la- let’s look at it.
47 00:04:34.190 ⇒ 00:04:36.879 Amber Lin: Right now.
48 00:04:37.400 ⇒ 00:04:49.750 Amber Lin: So, we can probably skip the first part, we can skip that. Oh, we can add to… we can probably just add to the central dock.
49 00:04:49.850 ⇒ 00:04:51.550 Amber Lin: That we can skip.
50 00:04:52.070 ⇒ 00:04:55.490 Amber Lin: That… we can add to the central dock.
51 00:04:55.680 ⇒ 00:05:00.150 Amber Lin: Now, I think these are the ones that we’ll need to work, because these are…
52 00:05:00.910 ⇒ 00:05:01.680 Mustafa Raja: Hmm…
53 00:05:01.870 ⇒ 00:05:03.989 Amber Lin: Hmm, let’s see, okay.
54 00:05:04.220 ⇒ 00:05:11.939 Amber Lin: That’s flattened, so that’s only one person, one tech. And let’s check the next one.
55 00:05:12.450 ⇒ 00:05:19.120 Amber Lin: Commercial… Oh, I think we can transpose this?
56 00:05:19.320 ⇒ 00:05:20.469 Amber Lin: I don’t know.
57 00:05:22.620 ⇒ 00:05:24.359 Amber Lin: I’m gonna change…
58 00:05:25.580 ⇒ 00:05:40.939 Amber Lin: change it so it’s person and then zip code, but I think this might work, too. I think similarly, this is already flattened, so that’s good. I think they just have a lot of spreadsheets, but it’s not… like, one bro, it just is still one person.
59 00:05:40.940 ⇒ 00:05:46.620 Mustafa Raja: Yeah, but for these, I think,
60 00:05:47.320 ⇒ 00:05:51.649 Mustafa Raja: recently, one header only. I see that
61 00:05:51.880 ⇒ 00:05:59.210 Mustafa Raja: These sort of have multiple, rows as headers, or we can say multiple tables within a sheet.
62 00:05:59.510 ⇒ 00:06:01.509 Mustafa Raja: That might become a problem.
63 00:06:02.320 ⇒ 00:06:03.320 Amber Lin: I see.
64 00:06:03.440 ⇒ 00:06:07.130 Amber Lin: I see, do you think we should just…
65 00:06:07.310 ⇒ 00:06:11.429 Amber Lin: Copy and paste this to the central doc?
66 00:06:12.960 ⇒ 00:06:16.890 Mustafa Raja: We can… we can try that. That might work.
67 00:06:16.890 ⇒ 00:06:20.260 Amber Lin: Because then it will just go through the central dock instead.
68 00:06:20.260 ⇒ 00:06:38.740 Mustafa Raja: Yeah, yeah. Also, if… let me know if you should do that. If that is the case, I can update the central talk. Or if we want to keep the, sorry, if we want to add these as spreadsheets to Andy, let me know how the agents should
69 00:06:38.990 ⇒ 00:06:40.600 Mustafa Raja: I’ll trigger these.
70 00:06:40.760 ⇒ 00:06:42.930 Mustafa Raja: I guess we will have.
71 00:06:42.930 ⇒ 00:06:53.359 Amber Lin: Yeah, it sounds like if we add this spreadsheet to Andy, it will take some hard-coding routing of, oh, holiday lights go to this, right?
72 00:06:53.600 ⇒ 00:06:54.200 Mustafa Raja: Yeah, yeah, yeah.
73 00:06:54.200 ⇒ 00:06:54.810 Casie Aviles: Yeah.
74 00:06:54.880 ⇒ 00:06:55.550 Amber Lin: I don’t think…
75 00:06:55.550 ⇒ 00:06:56.550 Mustafa Raja: We’ll have to update.
76 00:06:56.550 ⇒ 00:07:00.829 Amber Lin: Might as well just add it to the central dock, so it’s easier for us.
77 00:07:01.080 ⇒ 00:07:02.909 Amber Lin: Yeah. And it’s more flexible.
78 00:07:03.760 ⇒ 00:07:05.470 Amber Lin: Okay.
79 00:07:05.610 ⇒ 00:07:10.140 Amber Lin: I mean, we can just use… AI to add it.
80 00:07:10.450 ⇒ 00:07:14.840 Amber Lin: I think just one note, I was looking at…
81 00:07:15.330 ⇒ 00:07:23.840 Amber Lin: I was looking at the mechanical part. Can we… when we add it, can we make sure that it doesn’t have the…
82 00:07:24.070 ⇒ 00:07:31.550 Amber Lin: Dividers, or that… I don’t know. I don’t know how ChatGPT will format this, but…
83 00:07:31.780 ⇒ 00:07:35.110 Amber Lin: I think we can just start with adding it, and then…
84 00:07:35.340 ⇒ 00:07:40.600 Amber Lin: like, I’ll change the ticket into… And…
85 00:07:40.600 ⇒ 00:07:48.619 Mustafa Raja: Okay, so we just don’t want the, what’s it called? The divider, right? Any other things that I should be wary of?
86 00:07:49.590 ⇒ 00:07:50.690 Amber Lin: Boom…
87 00:07:53.760 ⇒ 00:07:54.990 Amber Lin: Let’s see…
88 00:07:57.050 ⇒ 00:08:05.560 Amber Lin: Ideally, there’s no space between this, but I don’t think we can edit that from ChatGPT, it’s just… it’s just how it is when we copy and paste.
89 00:08:06.680 ⇒ 00:08:07.320 Mustafa Raja: Indiana.
90 00:08:07.320 ⇒ 00:08:14.790 Amber Lin: I think otherwise it’s fine. Like, you can always edit the… Edit the format later.
91 00:08:15.540 ⇒ 00:08:16.170 Mustafa Raja: Yep.
92 00:08:17.420 ⇒ 00:08:17.960 Amber Lin: Yeah.
93 00:08:18.620 ⇒ 00:08:19.460 Amber Lin: Okay.
94 00:08:19.630 ⇒ 00:08:20.780 Amber Lin: So that’s it.
95 00:08:20.920 ⇒ 00:08:25.529 Mustafa Raja: Yeah, for triages, you can go there.
96 00:08:26.880 ⇒ 00:08:36.789 Mustafa Raja: Yeah, so… A lot of these are for internal review, but I would want to talk about the ones in the progress. I have some comments.
97 00:08:37.250 ⇒ 00:08:38.690 Mustafa Raja: For each of them.
98 00:08:40.669 ⇒ 00:09:00.529 Mustafa Raja: So, for this, we… what we are doing is, just before… just as before with Inspector sheet, we were giving the whole sheets, to the agent. So, so that makes it a little harder for the agent to detect, the information, right? Similar is the case right now for Zips and…
99 00:09:01.630 ⇒ 00:09:07.940 Mustafa Raja: skills sheet, it’s… we’re giving the whole sheet. What we can do is we can filter, based on
100 00:09:08.070 ⇒ 00:09:13.340 Mustafa Raja: The zip code first, and then, give it the thing.
101 00:09:13.840 ⇒ 00:09:14.370 Amber Lin: I’m sorry.
102 00:09:14.370 ⇒ 00:09:20.689 Mustafa Raja: that will improve the accuracy, because I, I saw that, this,
103 00:09:21.460 ⇒ 00:09:25.500 Mustafa Raja: The records for these people were there, but it didn’t count.
104 00:09:25.500 ⇒ 00:09:26.070 Amber Lin: Yeah.
105 00:09:26.070 ⇒ 00:09:27.949 Mustafa Raja: Because there were multiple rules.
106 00:09:27.950 ⇒ 00:09:28.950 Casie Aviles: I see.
107 00:09:28.950 ⇒ 00:09:35.600 Amber Lin: I see, that makes sense. Actually, Casey, can you test this question with, with our new database? Because if that.
108 00:09:35.600 ⇒ 00:09:38.209 Mustafa Raja: That’s salt. Probably just don’t have to…
109 00:09:38.300 ⇒ 00:09:41.679 Amber Lin: I’ll send it in the chat. We probably just don’t have to do it again.
110 00:09:42.660 ⇒ 00:09:44.669 Mustafa Raja: That’ll be amazing.
111 00:09:46.830 ⇒ 00:09:47.560 Casie Aviles: Okay.
112 00:09:47.980 ⇒ 00:09:51.240 Mustafa Raja: So we have the data imported in the database.
113 00:09:53.270 ⇒ 00:09:59.350 Casie Aviles: Yeah, we have it, but it’s not connected anywhere right now, it’s just living in Supabase, so it’s…
114 00:09:59.350 ⇒ 00:09:59.970 Mustafa Raja: Okay.
115 00:10:00.240 ⇒ 00:10:04.139 Casie Aviles: When I test it, I just do queries, SQL queries.
116 00:10:06.610 ⇒ 00:10:11.300 Mustafa Raja: I think Anittin does have a… SQL agent.
117 00:10:12.790 ⇒ 00:10:13.500 Casie Aviles: Hmm.
118 00:10:14.370 ⇒ 00:10:16.899 Mustafa Raja: See, it used to have it…
119 00:10:17.840 ⇒ 00:10:21.510 Mustafa Raja: But then it got removed, but then I think it got re-added.
120 00:10:22.110 ⇒ 00:10:23.729 Mustafa Raja: Let me quickly check.
121 00:10:33.600 ⇒ 00:10:34.500 Mustafa Raja: Nope.
122 00:10:35.170 ⇒ 00:10:36.220 Mustafa Raja: Got removed.
123 00:10:37.340 ⇒ 00:10:38.420 Amber Lin: Okay.
124 00:10:38.530 ⇒ 00:10:41.539 Amber Lin: Where am I?
125 00:10:45.940 ⇒ 00:10:52.770 Casie Aviles: Yeah, we need to work on that. We’d need, like… we need to translate the like, human… Input…
126 00:10:52.930 ⇒ 00:10:56.500 Casie Aviles: questions into… SQL queries.
127 00:10:56.500 ⇒ 00:10:57.110 Mustafa Raja: True.
128 00:10:58.680 ⇒ 00:10:59.280 Casie Aviles: Yeah.
129 00:11:00.040 ⇒ 00:11:03.100 Amber Lin: Hmm. Okay, I’ll put that for the next cycle.
130 00:11:04.920 ⇒ 00:11:14.559 Amber Lin: Okay, so probably we can… let’s see when this came in. Yeah, this came in this week, I think it’s safe that we… I’ll just boot this to the next cycle.
131 00:11:15.380 ⇒ 00:11:19.010 Amber Lin: Hopefully, we’ll solve the database, solve it with the database.
132 00:11:19.890 ⇒ 00:11:28.149 Mustafa Raja: Yeah, so for this, I didn’t update the system prompt, I just want to get the… get all of the aliases that you would want to update.
133 00:11:28.150 ⇒ 00:11:41.319 Amber Lin: Yeah, I think so far… Sorry, this is… I think so far, landscape… Designer is…
134 00:11:41.860 ⇒ 00:11:47.340 Amber Lin: An inspector. I was also very confused. I asked about this as well.
135 00:11:48.250 ⇒ 00:11:49.230 Mustafa Raja: So I think it’s.
136 00:11:49.230 ⇒ 00:11:50.759 Amber Lin: Where the values, yeah.
137 00:11:50.760 ⇒ 00:11:52.830 Mustafa Raja: So this is,
138 00:11:53.190 ⇒ 00:12:02.100 Mustafa Raja: So, landscape designer is an inspector, and this would be the only alias that we would want to update in the decision prompt, right?
139 00:12:03.010 ⇒ 00:12:08.830 Amber Lin: Because we have, like, estimator, like, sales, I think we already added those.
140 00:12:08.830 ⇒ 00:12:09.440 Mustafa Raja: Okay.
141 00:12:10.050 ⇒ 00:12:10.530 Mustafa Raja: Okay.
142 00:12:10.530 ⇒ 00:12:14.990 Casie Aviles: I think I added Designer already, too. I had a similar… Oh!
143 00:12:14.990 ⇒ 00:12:15.649 Mustafa Raja: Thank you.
144 00:12:15.890 ⇒ 00:12:17.970 Amber Lin: Wait, let me… let me check.
145 00:12:19.590 ⇒ 00:12:20.479 Casie Aviles: Yeah, let’s see.
146 00:12:32.300 ⇒ 00:12:33.430 Amber Lin: There we go.
147 00:12:34.220 ⇒ 00:12:34.860 Casie Aviles: Yeah.
148 00:12:36.080 ⇒ 00:12:37.319 Amber Lin: Yeah, Steven C.
149 00:12:37.720 ⇒ 00:12:38.770 Amber Lin: Solved.
150 00:12:38.970 ⇒ 00:12:39.980 Amber Lin: Perfect.
151 00:12:43.110 ⇒ 00:12:44.630 Amber Lin: What are you?
152 00:12:46.000 ⇒ 00:12:48.580 Amber Lin: Great. Close that.
153 00:12:49.090 ⇒ 00:12:58.100 Amber Lin: And yeah, that’s that one I see, it says, still in progress. And then…
154 00:12:58.100 ⇒ 00:13:04.199 Mustafa Raja: Yeah, for this one, I think we need to update the central doc and tell it that we do not, do the…
155 00:13:04.360 ⇒ 00:13:06.630 Amber Lin: Appliance maintenance.
156 00:13:06.700 ⇒ 00:13:08.710 Mustafa Raja: It looks for both of those?
157 00:13:09.820 ⇒ 00:13:14.229 Mustafa Raja: It looks for both of those and, does get some data.
158 00:13:14.770 ⇒ 00:13:17.129 Mustafa Raja: For appliance and maintenance.
159 00:13:17.130 ⇒ 00:13:17.680 Amber Lin: I see.
160 00:13:17.840 ⇒ 00:13:21.929 Mustafa Raja: I’m thinking, cooks up an answer.
161 00:13:22.410 ⇒ 00:13:40.000 Amber Lin: Yeah. I added this… I just added this, but honestly, we can do this next week if you don’t have time today. It’s just, I updated it in Essential Doc, but it’s just not coming up, I don’t really know why. I think it’s still wording issues, because Mechanical is… their Essential Doc’s a little bit messy.
162 00:13:40.110 ⇒ 00:13:42.950 Amber Lin: Probably that’s the reason why.
163 00:13:42.950 ⇒ 00:13:46.280 Mustafa Raja: I think a similar thing,
164 00:13:47.590 ⇒ 00:13:49.580 Mustafa Raja: Fee for electrical is not correct.
165 00:13:49.820 ⇒ 00:13:52.020 Mustafa Raja: I did look into something similar.
166 00:13:52.520 ⇒ 00:13:57.500 Mustafa Raja: Yeah, I’ll look into it again.
167 00:13:58.040 ⇒ 00:13:58.770 Mustafa Raja: Okay.
168 00:14:00.330 ⇒ 00:14:00.870 Amber Lin: Yep.
169 00:14:12.980 ⇒ 00:14:13.720 Amber Lin: Alright.
170 00:14:13.860 ⇒ 00:14:16.679 Amber Lin: Next, let’s look at…
171 00:14:21.090 ⇒ 00:14:26.210 Amber Lin: Let me move that… Carmen.
172 00:14:28.780 ⇒ 00:14:30.369 Amber Lin: Let’s look here.
173 00:14:30.870 ⇒ 00:14:32.359 Amber Lin: Actually, my stock here?
174 00:14:32.820 ⇒ 00:14:33.960 Amber Lin: Boom.
175 00:14:35.700 ⇒ 00:14:37.220 Amber Lin: What one…
176 00:14:39.630 ⇒ 00:14:43.189 Casie Aviles: This is, yeah, I put this to note in progress.
177 00:14:43.560 ⇒ 00:14:44.270 Amber Lin: Okay.
178 00:14:46.570 ⇒ 00:14:48.110 Casie Aviles: The oldest ones.
179 00:14:48.560 ⇒ 00:14:52.529 Amber Lin: Yeah… not giving detailed enough steps…
180 00:14:54.950 ⇒ 00:15:00.100 Amber Lin: Okay, she added it. I guess we’re not… still not picking it up.
181 00:15:01.080 ⇒ 00:15:05.250 Amber Lin: I feel like we’ve seen this in another ticket before.
182 00:15:08.370 ⇒ 00:15:10.940 Amber Lin: pest?
183 00:15:12.950 ⇒ 00:15:14.530 Amber Lin: I think they’re all the same.
184 00:15:33.500 ⇒ 00:15:43.360 Amber Lin: I guess we’re missing the, like, start recording once payment is processed, blah blah blah, I think we’re still missing a little bit.
185 00:15:57.790 ⇒ 00:15:58.370 Amber Lin: Thanks!
186 00:15:58.370 ⇒ 00:15:59.130 Casie Aviles: Same.
187 00:15:59.130 ⇒ 00:15:59.490 Amber Lin: Dang.
188 00:15:59.490 ⇒ 00:16:03.900 Casie Aviles: Yeah, this was the same issue that… similar to what Mustafa mentioned earlier.
189 00:16:04.610 ⇒ 00:16:05.510 Amber Lin: Yeah.
190 00:16:06.760 ⇒ 00:16:14.360 Amber Lin: I’ll move this, so hopefully we solved the database and this gets solved.
191 00:16:15.830 ⇒ 00:16:21.070 Amber Lin: I don’t. Yeah, I think… Andy, asking the…
192 00:16:26.530 ⇒ 00:16:27.609 Casie Aviles: Survey neat.
193 00:16:27.730 ⇒ 00:16:28.810 Casie Aviles: Of course, open.
194 00:16:29.680 ⇒ 00:16:35.509 Amber Lin: Yeah, same… I think same issue from the other one. Zip code…
195 00:16:35.510 ⇒ 00:16:48.890 Mustafa Raja: If we are going to move from, what’s it called, Google Chat, then I guess we, we will, we would be able to make some, UI to select the department, from there, and…
196 00:16:49.140 ⇒ 00:16:57.580 Mustafa Raja: So, we… so we on the AI side never have to, infer the department at all.
197 00:16:57.960 ⇒ 00:17:00.420 Mustafa Raja: Yeah, that works too. I think that’ll be a better fix.
198 00:17:01.920 ⇒ 00:17:09.999 Amber Lin: Yeah, Uten was talking about the new UI with, hopefully we can get more budget, but don’t have anything about that for now.
199 00:17:10.270 ⇒ 00:17:19.729 Amber Lin: Okay, I think that’s all. What are the next steps for the database? Are we in testing, or is it just a query that we need to…
200 00:17:20.050 ⇒ 00:17:22.119 Amber Lin: Look at, and connect.
201 00:17:24.129 ⇒ 00:17:27.299 Casie Aviles: So, basically, this is for…
202 00:17:28.019 ⇒ 00:17:32.749 Casie Aviles: Review. So what that means is it would be… it would need to be checked.
203 00:17:36.009 ⇒ 00:17:38.619 Casie Aviles: Yeah, and after that.
204 00:17:38.859 ⇒ 00:17:47.089 Casie Aviles: Once this is… this looks good, like, we could just check for, like, you know, structurally, if it looks okay, and…
205 00:17:48.339 ⇒ 00:17:49.629 Casie Aviles: The feels… if…
206 00:17:49.929 ⇒ 00:17:56.829 Casie Aviles: like, accuracy is also what… if they… if you want to test for the accuracy, we can also, like, do SQL queries.
207 00:17:57.369 ⇒ 00:18:07.059 Casie Aviles: And check if, like, the result matches the spreadsheet. So those are what we could do. After that, once we’re good with that.
208 00:18:07.749 ⇒ 00:18:11.629 Casie Aviles: Yeah, the next thing is for, actually, Andy to actually…
209 00:18:11.769 ⇒ 00:18:14.729 Casie Aviles: Be able to query this database, and that.
210 00:18:14.729 ⇒ 00:18:16.409 Amber Lin: That’s where the…
211 00:18:16.629 ⇒ 00:18:18.749 Casie Aviles: Yeah, the human input.
212 00:18:19.409 ⇒ 00:18:24.949 Casie Aviles: translation to SQL would happen, and… We’d need to…
213 00:18:25.979 ⇒ 00:18:28.709 Casie Aviles: I did a bit of a spike there, and…
214 00:18:29.499 ⇒ 00:18:34.789 Casie Aviles: We’ll need to have some kind of, you know, Another kind of agent.
215 00:18:35.229 ⇒ 00:18:37.939 Casie Aviles: That will do the translation.
216 00:18:38.570 ⇒ 00:18:39.940 Amber Lin: Mmm…
217 00:18:40.240 ⇒ 00:18:41.260 Casie Aviles: So…
218 00:18:41.260 ⇒ 00:18:42.080 Amber Lin: I see.
219 00:18:42.410 ⇒ 00:18:45.850 Casie Aviles: Yes, so that’s the next thing there, I believe.
220 00:18:46.000 ⇒ 00:18:55.459 Mustafa Raja: Yeah, so I believe Casey… Casey was testing it with a Jupyter Notebook, with Langchain agent, that,
221 00:18:55.460 ⇒ 00:18:56.020 Casie Aviles: Yeah.
222 00:18:56.020 ⇒ 00:19:04.479 Mustafa Raja: Was this able to, put in the same example that you’ve, added screenshots for?
223 00:19:06.170 ⇒ 00:19:15.620 Casie Aviles: No, actually, that was, like, a test, like, a sample data when I was testing then, because we haven’t built, like, built out the entire database then.
224 00:19:15.740 ⇒ 00:19:18.130 Casie Aviles: So that was just a sample database.
225 00:19:18.700 ⇒ 00:19:19.400 Mustafa Raja: Okay.
226 00:19:20.170 ⇒ 00:19:24.340 Amber Lin: I see. Do you want Awage to help review this? He probably is a.
227 00:19:24.340 ⇒ 00:19:25.320 Casie Aviles: Yes, sure.
228 00:19:25.480 ⇒ 00:19:31.549 Amber Lin: Okay, let’s tag, let’s tag away. Can you send a note in the channel?
229 00:19:32.330 ⇒ 00:19:34.440 Casie Aviles: Yes, yes, sir. I’ll…
230 00:19:34.440 ⇒ 00:19:38.289 Amber Lin: B… That should be everything for today on ABC.
231 00:19:38.760 ⇒ 00:19:39.395 Amber Lin: Mmm…
232 00:19:52.810 ⇒ 00:19:53.630 Amber Lin: Hmm.
233 00:20:07.610 ⇒ 00:20:12.520 Casie Aviles: And then… Oh, this is the data… yeah, it’s been merged.
234 00:20:12.520 ⇒ 00:20:15.249 Amber Lin: Yeah, Uten, Uten, yeah.
235 00:20:20.060 ⇒ 00:20:22.279 Amber Lin: Okay, let me just check…
236 00:20:22.680 ⇒ 00:20:27.609 Amber Lin: Yeah, I think Utam’s doing the work on that side, so don’t have to worry about that.
237 00:20:27.850 ⇒ 00:20:32.980 Amber Lin: Let’s see… Awesome.
238 00:20:35.870 ⇒ 00:20:38.170 Amber Lin: Oh, I like that it’s green.
239 00:20:38.950 ⇒ 00:20:43.750 Casie Aviles: Yeah, he added… he added the Brain Forge Colors theme, I think.
240 00:20:43.750 ⇒ 00:20:44.850 Amber Lin: 3 minutes.
241 00:20:45.500 ⇒ 00:20:47.560 Amber Lin: Okay, great.
242 00:20:48.130 ⇒ 00:20:50.350 Amber Lin: I think that’s all for today.
243 00:20:50.540 ⇒ 00:20:53.010 Amber Lin: Just send a note about ABC and we’ll be good.
244 00:20:56.800 ⇒ 00:20:58.939 Amber Lin: Alright, thank you guys, gotta hop.
245 00:20:59.660 ⇒ 00:21:00.789 Mustafa Raja: Thank you, bye.
246 00:21:00.790 ⇒ 00:21:01.790 Amber Lin: Alright, bye.