Meeting Title: PhonePro Presentation Planning Sync Date: 2025-10-09 Meeting participants: Uttam Kumaran, Samuel Roberts
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1 00:00:23.190 ⇒ 00:00:24.160 Samuel Roberts: Ay.
2 00:00:25.960 ⇒ 00:00:26.990 Uttam Kumaran: Hey!
3 00:00:28.250 ⇒ 00:00:29.409 Uttam Kumaran: How’s everything?
4 00:00:30.020 ⇒ 00:00:34.500 Samuel Roberts: Going alright, going alright. Just reviewing some stuff for Mustafa on…
5 00:00:35.150 ⇒ 00:00:43.530 Samuel Roberts: a couple things, the turbo puffer and the interlude stuff, and I was getting things a little more familiar in Omni for, like.
6 00:00:43.680 ⇒ 00:00:46.940 Samuel Roberts: Going from that AI stuff to a dashboard and things like that.
7 00:00:47.110 ⇒ 00:00:49.819 Samuel Roberts: So I feel pretty good about that.
8 00:00:49.990 ⇒ 00:00:50.670 Uttam Kumaran: Okay.
9 00:00:51.260 ⇒ 00:00:54.189 Uttam Kumaran: Yeah, maybe we can talk through…
10 00:00:54.800 ⇒ 00:00:58.010 Uttam Kumaran: like, what to present on PhonePro, and kind of, like, get a little agenda.
11 00:00:58.280 ⇒ 00:00:59.280 Samuel Roberts: Definitely.
12 00:00:59.600 ⇒ 00:01:00.790 Samuel Roberts: Definitely.
13 00:01:01.690 ⇒ 00:01:05.229 Samuel Roberts: Okay, so let me get this all organized here.
14 00:01:06.310 ⇒ 00:01:17.009 Samuel Roberts: probably take out, like, those two. Alright. Yeah, so I’ve got, you know, basically I can show on this,
15 00:01:18.320 ⇒ 00:01:30.319 Samuel Roberts: e-com test data, you know, chatting with the data, making these views, adding them to a dashboard, which I think is kind of the closest thing I can get to, like, getting reports. I don’t… with the AI, at least.
16 00:01:30.430 ⇒ 00:01:39.420 Samuel Roberts: I don’t know if that’s exactly what you’re looking for or not, but, like…
17 00:01:40.400 ⇒ 00:01:45.710 Uttam Kumaran: Yeah, I guess… I guess, like, or maybe even… yeah, I guess, like, if you could just share…
18 00:01:45.970 ⇒ 00:01:51.859 Uttam Kumaran: Like, simply, we can just take a note of, like, what questions we’re gonna present during the demo.
19 00:01:51.860 ⇒ 00:01:52.380 Samuel Roberts: Sure.
20 00:01:52.380 ⇒ 00:01:57.270 Uttam Kumaran: And then we can just walk through, like, how Omni reacts to a couple of those.
21 00:01:57.570 ⇒ 00:01:58.990 Samuel Roberts: Okay, yeah, let me…
22 00:01:58.990 ⇒ 00:01:59.790 Uttam Kumaran: Yeah.
23 00:01:59.980 ⇒ 00:02:04.380 Samuel Roberts: Alright, let me get somewhere that’s helpful here. Okay, let me share my screen real quick.
24 00:02:04.380 ⇒ 00:02:04.760 Uttam Kumaran: Yeah.
25 00:02:04.760 ⇒ 00:02:06.440 Samuel Roberts: And I can walk through that.
26 00:02:06.540 ⇒ 00:02:13.029 Samuel Roberts: And then the Slack thing, I think you saw, it just dumps CSV files, but,
27 00:02:13.430 ⇒ 00:02:21.439 Samuel Roberts: theoretically, it could make graphs and stuff, too, I bet we could, you know… and they’re… like, he said they’re working on a production Slack app, it should be near-term, so…
28 00:02:21.700 ⇒ 00:02:23.280 Samuel Roberts: Something we can mention.
29 00:02:23.670 ⇒ 00:02:31.560 Samuel Roberts: Where am I sharing here? There we go… Let’s go with,
30 00:02:34.620 ⇒ 00:02:36.360 Samuel Roberts: Is that possible for? No.
31 00:02:38.020 ⇒ 00:02:43.549 Samuel Roberts: Whatever. I’ll just share my screen. It’s just a big screen, so… I don’t know what you’re on right now.
32 00:02:45.770 ⇒ 00:02:47.700 Uttam Kumaran: I’m on my monitor, so…
33 00:02:47.700 ⇒ 00:02:50.869 Samuel Roberts: Cool. So yeah, I can obviously tweak it if I need to.
34 00:02:52.310 ⇒ 00:02:57.779 Samuel Roberts: Come on. Oh, you know, double-click that, you just gotta click… okay. So,
35 00:02:57.980 ⇒ 00:03:03.070 Samuel Roberts: what I had over here was… this was me playing with just a simple dashboard I created. You can even, like.
36 00:03:03.330 ⇒ 00:03:05.870 Samuel Roberts: Add tiles, like, make a chart.
37 00:03:06.260 ⇒ 00:03:11.730 Samuel Roberts: and then edit in the workbook, it takes you back to here, where you can use all the AI stuff.
38 00:03:12.040 ⇒ 00:03:16.460 Samuel Roberts: Which is what I was testing before, but, like, you know, if we go to inventory management.
39 00:03:17.130 ⇒ 00:03:18.479 Samuel Roberts: That’s the topic.
40 00:03:18.810 ⇒ 00:03:23.920 Samuel Roberts: we can show, you know, really any… we can do any of this stuff. I was just playing around with the customers and…
41 00:03:24.180 ⇒ 00:03:30.579 Samuel Roberts: orders, and… things, it’s been quite slow, I wonder if I got unauthed.
42 00:03:31.130 ⇒ 00:03:32.590 Samuel Roberts: Happened this morning.
43 00:03:34.210 ⇒ 00:03:37.180 Samuel Roberts: There we go, okay. And then here’s where I can just…
44 00:03:37.480 ⇒ 00:03:40.319 Samuel Roberts: chat over this, show them… oh.
45 00:03:41.730 ⇒ 00:03:47.270 Samuel Roberts: Come on. There we go. Show them, you know, show current…
46 00:03:48.240 ⇒ 00:03:56.479 Samuel Roberts: Tory levels, over the past… I don’t know, months.
47 00:03:57.120 ⇒ 00:03:59.830 Samuel Roberts: 5 weeks. You know, something…
48 00:04:00.490 ⇒ 00:04:05.830 Samuel Roberts: again, we can… if there’s more specific things, I don’t know this client super well in terms of what they do, but…
49 00:04:05.950 ⇒ 00:04:10.280 Samuel Roberts: Whatever you think would be most helpful. And then, yeah, this makes it…
50 00:04:11.170 ⇒ 00:04:16.140 Samuel Roberts: Obviously this data is whatever, you know, we can even tweak this live,
51 00:04:16.600 ⇒ 00:04:18.769 Samuel Roberts: And then from here, you can just kind of…
52 00:04:19.160 ⇒ 00:04:25.929 Samuel Roberts: go to the dashboard with it, and it’s there. And this is what I was thinking was the closest thing to, like, a report that I can do with the AI.
53 00:04:26.180 ⇒ 00:04:31.459 Samuel Roberts: But it’s… it’s a fairly simple workflow, I just don’t know how… if it’s simple enough.
54 00:04:34.680 ⇒ 00:04:40.130 Samuel Roberts: And yeah, I mean, that’s basically it, you know, you can jump into any of these, and I can show them chatting over this stuff more, refining them.
55 00:04:40.980 ⇒ 00:04:45.150 Samuel Roberts: Asking more questions. I… I don’t know what…
56 00:04:46.030 ⇒ 00:04:50.839 Samuel Roberts: I saw… I don’t know if I saw enough about the client to know, like, what is the most helpful here.
57 00:04:50.840 ⇒ 00:05:06.069 Uttam Kumaran: Yeah, so I guess, like, is there a view where you… where it doesn’t produce, like, a chart? Or there’s… because there’s… there’s kind of two things… there’s three things I want to demo, right? There’s… there’s the one demo, which is, like, chat to answer. There’s, like, chat…
58 00:05:06.070 ⇒ 00:05:06.470 Samuel Roberts: Exactly this.
59 00:05:06.470 ⇒ 00:05:08.210 Uttam Kumaran: There’s, like, chat to chart.
60 00:05:08.500 ⇒ 00:05:11.829 Samuel Roberts: Okay. Chapter, and then there’s the Slack.
61 00:05:12.190 ⇒ 00:05:13.110 Samuel Roberts: Yeah, okay, perfect.
62 00:05:13.110 ⇒ 00:05:13.890 Uttam Kumaran: answer, right? So…
63 00:05:13.890 ⇒ 00:05:14.210 Samuel Roberts: Yeah.
64 00:05:14.210 ⇒ 00:05:17.059 Uttam Kumaran: Okay, so this is… this is the pure AI assistant chat.
65 00:05:17.060 ⇒ 00:05:21.339 Samuel Roberts: This is just a big chat, you can select, like, the data source and the topic, potentially.
66 00:05:21.340 ⇒ 00:05:29.690 Uttam Kumaran: Okay, so let’s, let’s, let’s think about a couple of questions for them. So let me, let me also go back and pull up, like, what I remember.
67 00:05:29.690 ⇒ 00:05:30.730 Samuel Roberts: Yeah, totally.
68 00:05:33.600 ⇒ 00:05:40.920 Samuel Roberts: Yeah, I only discovered this today when I was looking to figure out how I add things to a dashboard, and I was just… I just went to the AI Assistant, which is… is more than just the…
69 00:05:41.210 ⇒ 00:05:51.960 Samuel Roberts: I think even from here, you can explore, and that jumps you into the workbook and stuff, so… but we don’t have to show them that, you know, if it’s too complicated right now. Or that would be part of the next step, I guess, after this.
70 00:05:53.370 ⇒ 00:05:54.320 Samuel Roberts: And then…
71 00:05:54.320 ⇒ 00:05:58.180 Uttam Kumaran: So, phones…
72 00:06:03.740 ⇒ 00:06:13.370 Uttam Kumaran: So they have… so basically he has 3 datasets, sales, orders, Okay, yeah, so this is…
73 00:06:20.800 ⇒ 00:06:22.910 Uttam Kumaran: So let me just put this into a…
74 00:06:26.980 ⇒ 00:06:29.329 Uttam Kumaran: Bingo right now.
75 00:06:46.200 ⇒ 00:06:47.430 Samuel Roberts: Oh, no.
76 00:06:47.760 ⇒ 00:06:53.079 Uttam Kumaran: So, basically, they want to ask… they’ll probably want to ask questions about orders and customers and SKUs.
77 00:06:53.470 ⇒ 00:07:00.699 Uttam Kumaran: So that’s, like, what I would like to see.
78 00:07:01.110 ⇒ 00:07:07.059 Uttam Kumaran: Oh yeah, don’t worry about the ABC setup, that’s fine for now.
79 00:07:07.060 ⇒ 00:07:14.399 Samuel Roberts: Yeah, yeah, I just saw that they said they’re in the stand-up, and I was… I thought… I said no, I hadn’t told them, I’m just letting them know.
80 00:07:14.400 ⇒ 00:07:15.060 Uttam Kumaran: Yeah, okay.
81 00:07:16.130 ⇒ 00:07:19.410 Samuel Roberts: But, yeah, okay. What was it again? Sorry, sales…
82 00:07:19.410 ⇒ 00:07:24.959 Uttam Kumaran: So they want to ask… oh, I have this Notion doc here, let me share this with you.
83 00:07:24.960 ⇒ 00:07:25.860 Samuel Roberts: Perfect, yeah.
84 00:07:28.540 ⇒ 00:07:30.250 Uttam Kumaran: Okay, so…
85 00:07:33.560 ⇒ 00:07:35.079 Uttam Kumaran: I just shared it on the Zoom.
86 00:07:35.400 ⇒ 00:07:35.880 Samuel Roberts: Yep.
87 00:07:35.880 ⇒ 00:07:49.340 Uttam Kumaran: So basically, probably want to ask a question, like, what… Like… show… Give me a snapshot.
88 00:07:49.680 ⇒ 00:07:57.550 Uttam Kumaran: Of our orders for… this, like, quarter, probably want to look at, like… Okay.
89 00:07:57.970 ⇒ 00:08:09.740 Uttam Kumaran: Give me insights into our best and worst customers. Tell me our highest Selling SKUs…
90 00:08:09.740 ⇒ 00:08:10.420 Samuel Roberts: Yep.
91 00:08:10.420 ⇒ 00:08:14.539 Uttam Kumaran: And then what were some of the lookups you did on, like, missing data, right?
92 00:08:14.540 ⇒ 00:08:18.629 Samuel Roberts: Yeah, that was the one that was, I was looking at repeat customers.
93 00:08:19.250 ⇒ 00:08:23.120 Samuel Roberts: So I think if I say, like, show me…
94 00:08:23.230 ⇒ 00:08:35.330 Samuel Roberts: Or, show me a… Hmm… chart of… the… top… 50 repeat.
95 00:08:35.770 ⇒ 00:08:39.180 Samuel Roberts: Customers. I think it… that was where I realized
96 00:08:39.320 ⇒ 00:08:42.900 Samuel Roberts: Everything was bad. Because it was…
97 00:08:43.830 ⇒ 00:08:48.090 Samuel Roberts: it didn’t realize it until I kind of pointed it out that, like, what I got back was…
98 00:08:48.780 ⇒ 00:08:51.450 Samuel Roberts: Yeah, see, it hit a bunch of weird things here.
99 00:08:52.180 ⇒ 00:08:57.559 Samuel Roberts: yeah, this is where it might not be users, more than one order item. They kind of figured all that out.
100 00:08:57.880 ⇒ 00:08:59.300 Samuel Roberts: Which was very cool.
101 00:09:02.190 ⇒ 00:09:03.320 Uttam Kumaran: Oh, nice, okay.
102 00:09:03.610 ⇒ 00:09:12.199 Samuel Roberts: And then I think eventually it sorted it, and it showed me… or I asked it for… oh, there you go! Oh, wow, okay, that’s cool. Yeah, so this is where it showed…
103 00:09:13.850 ⇒ 00:09:22.950 Samuel Roberts: my lifetime spend instead. So, as I dug into this a little more, I saw that they all had one order, and said, show me…
104 00:09:23.430 ⇒ 00:09:32.920 Samuel Roberts: A list of… Customers ranked by number of orders.
105 00:09:33.730 ⇒ 00:09:36.019 Samuel Roberts: I’ll just need to spell customers right…
106 00:09:37.020 ⇒ 00:09:39.850 Samuel Roberts: And I think that’s where I saw the emails.
107 00:09:40.030 ⇒ 00:09:49.099 Samuel Roberts: all were the same for certain people, but the IDs were not. They are all different. So obviously, it’s sample data, I don’t know if that’s intentional or not, but…
108 00:09:49.360 ⇒ 00:09:53.299 Samuel Roberts: I didn’t include emails here. Include emails.
109 00:09:55.620 ⇒ 00:09:56.670 Samuel Roberts: Sort.
110 00:09:58.790 ⇒ 00:09:59.849 Samuel Roberts: Let’s just
111 00:10:03.960 ⇒ 00:10:07.129 Samuel Roberts: It’s a really fun way to interact with this data, I have to say.
112 00:10:07.280 ⇒ 00:10:08.050 Uttam Kumaran: Yeah.
113 00:10:08.280 ⇒ 00:10:09.410 Uttam Kumaran: Nice.
114 00:10:09.410 ⇒ 00:10:13.559 Samuel Roberts: And then this is where I kind of dug in. I forget what email I saw.
115 00:10:14.320 ⇒ 00:10:18.360 Samuel Roberts: Cause this actually looks different than what I was seeing before.
116 00:10:18.580 ⇒ 00:10:20.439 Uttam Kumaran: Basically, you saw, like, duplicate emails.
117 00:10:20.440 ⇒ 00:10:25.279 Samuel Roberts: I saw a ton of duplicate emails, and I’m just trying to see, I don’t see a ton here.
118 00:10:26.670 ⇒ 00:10:30.929 Samuel Roberts: Let’s just say, like, let’s, let me see…
119 00:10:30.930 ⇒ 00:10:32.039 Uttam Kumaran: Are there any duplicate emails?
120 00:10:32.040 ⇒ 00:10:33.410 Samuel Roberts: Yeah, I just asked that.
121 00:10:36.020 ⇒ 00:10:38.429 Samuel Roberts: It’s kind of… it’s so freeing to be able to just chat with it.
122 00:10:38.430 ⇒ 00:10:39.260 Uttam Kumaran: I know.
123 00:10:39.260 ⇒ 00:10:41.170 Samuel Roberts: It’s an incredible feeling, because, like.
124 00:10:42.450 ⇒ 00:10:43.780 Samuel Roberts: Yeah, there you go. Oops, sorry.
125 00:10:43.780 ⇒ 00:10:46.889 Uttam Kumaran: Oh, nice. Okay, so then that’s a good thing.
126 00:10:46.890 ⇒ 00:10:47.630 Samuel Roberts: Generate that.
127 00:10:47.630 ⇒ 00:10:48.170 Uttam Kumaran: Yeah.
128 00:10:50.670 ⇒ 00:11:00.410 Samuel Roberts: Yeah, 49 duplicates. Yeah, here’s the one I found. Jay Williams had 41, that’s the one I remember seeing. And so you can see the user count here, and then what I do is I broke that out and saw…
129 00:11:01.000 ⇒ 00:11:02.220 Samuel Roberts: They all had different…
130 00:11:02.560 ⇒ 00:11:07.710 Samuel Roberts: IDs, so they weren’t getting joined together, and that’s how I was able to figure out something was wrong there.
131 00:11:08.250 ⇒ 00:11:15.589 Samuel Roberts: And I probably could then say, like, you know, look up by email, and group the orders, and do the lifetime value kind of stuff,
132 00:11:16.180 ⇒ 00:11:18.120 Samuel Roberts: I don’t know if we want to go that far or not, but…
133 00:11:20.490 ⇒ 00:11:27.050 Samuel Roberts: you know, I can imagine it could figure out, okay, the IDs aren’t what to use, use the emails, and then…
134 00:11:27.310 ⇒ 00:11:28.809 Samuel Roberts: do all the counts that I wanted.
135 00:11:28.810 ⇒ 00:11:35.370 Uttam Kumaran: So… So let’s… let’s walk through, like, these three questions on just the chat interface.
136 00:11:35.370 ⇒ 00:11:39.860 Samuel Roberts: Yes, perfect, okay. Let me actually, see if I can just do that.
137 00:11:39.860 ⇒ 00:11:45.179 Uttam Kumaran: And then I think when you share, also, if you just can share, like, this sales window…
138 00:11:45.320 ⇒ 00:11:47.689 Uttam Kumaran: Or just this, Chrome window?
139 00:11:47.690 ⇒ 00:11:51.829 Samuel Roberts: That’s, yeah, that’s what I was trying to do before, but then I realized I had the slack I potentially wanted to show you and stuff, but…
140 00:11:51.830 ⇒ 00:11:55.339 Uttam Kumaran: Oh, okay, okay, okay, okay. So, like, first question, let’s say, give me…
141 00:11:55.450 ⇒ 00:11:58.800 Uttam Kumaran: A snapshot of our orders for this quarter.
142 00:11:58.950 ⇒ 00:12:02.200 Uttam Kumaran: And give me a sense of, like, how we’re doing.
143 00:12:11.610 ⇒ 00:12:16.269 Samuel Roberts: Copy that one so I have that saved somewhere. You got that here… oh, you had it there, okay, yeah.
144 00:12:17.020 ⇒ 00:12:18.030 Samuel Roberts: Oh, I…
145 00:12:18.270 ⇒ 00:12:22.770 Samuel Roberts: It sets a clockified. Here’s something I gotta catch before we do this. Ecom, and then an auto.
146 00:12:22.770 ⇒ 00:12:24.290 Uttam Kumaran: Oh, okay, okay.
147 00:12:24.290 ⇒ 00:12:28.569 Samuel Roberts: When I started the new chat, it didn’t do that, that’s my bad. In fact, let me just…
148 00:12:29.030 ⇒ 00:12:31.030 Samuel Roberts: Blow this one away and do that right.
149 00:12:31.170 ⇒ 00:12:35.200 Samuel Roberts: Because I was on that already, so let’s try that again, good thing I copied that.
150 00:12:35.200 ⇒ 00:12:35.690 Uttam Kumaran: Okay, yeah.
151 00:12:37.140 ⇒ 00:12:37.820 Uttam Kumaran: sound.
152 00:12:38.250 ⇒ 00:12:45.400 Samuel Roberts: Yeah, definitely make sure we do that if I start anew. I’ll try to have it fresh and ready to go, but keep an eye on that down there, because if I’m not…
153 00:12:45.460 ⇒ 00:12:46.709 Uttam Kumaran: Thinking of it?
154 00:12:47.520 ⇒ 00:12:53.739 Samuel Roberts: I did notice this one took a while the first time I ran it, compared to the other stuff. I don’t know if it’s because it’s…
155 00:12:55.520 ⇒ 00:13:01.069 Samuel Roberts: excuse me, doing something different, or because I didn’t… it’s not in a topic, necessarily, and has to maybe figure that out.
156 00:13:07.120 ⇒ 00:13:09.669 Samuel Roberts: And the Slack is slightly slow.
157 00:13:10.100 ⇒ 00:13:13.019 Samuel Roberts: But it’s running on my machine, so I think I can explain that away.
158 00:13:18.090 ⇒ 00:13:20.179 Samuel Roberts: Yeah, I don’t know why this is still going.
159 00:13:21.520 ⇒ 00:13:24.069 Samuel Roberts: Maybe I’ll give it the topic next time, and we can try that.
160 00:13:27.230 ⇒ 00:13:30.969 Samuel Roberts: But even so, like, it can do it, it just takes a minute, I guess.
161 00:13:36.700 ⇒ 00:13:45.599 Samuel Roberts: When I found that, demo yesterday, and was able to, like, ask that guy for the code, they call this guy Blobby, I don’t know if you’ve heard them.
162 00:13:45.600 ⇒ 00:13:46.220 Uttam Kumaran: Oh, really?
163 00:13:46.220 ⇒ 00:13:53.429 Samuel Roberts: And so, like, it was called Lobby Bot, and the Slack was, like, slash Bobby, and I was lobby, and I was like, let’s just call it Omni for now.
164 00:13:53.800 ⇒ 00:13:55.610 Samuel Roberts: There we go, now it’s got the query going.
165 00:13:57.910 ⇒ 00:13:58.820 Samuel Roberts: Cool.
166 00:13:59.420 ⇒ 00:14:01.880 Samuel Roberts: So… Yeah.
167 00:14:08.580 ⇒ 00:14:09.670 Samuel Roberts: -
168 00:14:10.600 ⇒ 00:14:13.679 Samuel Roberts: Yep, jeans, that’s right, that was a big one, I saw that yesterday.
169 00:14:15.440 ⇒ 00:14:18.380 Samuel Roberts: Growth. Yeah, and then it has some suggestions, too, which is nice.
170 00:14:18.380 ⇒ 00:14:25.510 Uttam Kumaran: Oh, great. Okay, cool. And then next question, let’s ask, give me insights into your… into our best and worst customers.
171 00:14:26.040 ⇒ 00:14:26.950 Samuel Roberts: Perfect.
172 00:14:36.330 ⇒ 00:14:39.219 Samuel Roberts: picking topic, yeah, that might… oh, no, this was faster, I think.
173 00:14:39.940 ⇒ 00:14:45.029 Samuel Roberts: I think I got a little error that it said Clockify data wasn’t available, so I don’t know if it was still in, like, a weird…
174 00:14:46.090 ⇒ 00:14:47.210 Uttam Kumaran: State.
175 00:14:47.610 ⇒ 00:14:51.959 Samuel Roberts: But… It’s still taking a minute, I don’t know.
176 00:14:57.590 ⇒ 00:15:04.480 Samuel Roberts: Yeah, I’m not really sure why this one seems to be slower than the other one. Let’s give it a topic when I ask the next one, maybe, and see if it goes faster.
177 00:15:05.160 ⇒ 00:15:07.699 Samuel Roberts: Oh, interesting, that’s kind of cool, okay.
178 00:15:22.770 ⇒ 00:15:23.440 Samuel Roberts: Huh.
179 00:15:25.110 ⇒ 00:15:32.089 Samuel Roberts: The topics down here. Order, user, web event, order, transactions, and order items, and…
180 00:15:34.310 ⇒ 00:15:40.070 Samuel Roberts: Yeah, this is taking a lot longer than the, the other side by side.
181 00:15:44.850 ⇒ 00:15:48.310 Uttam Kumaran: Yeah, let’s see… What the output is.
182 00:15:48.310 ⇒ 00:15:49.100 Samuel Roberts: Yeah.
183 00:15:49.270 ⇒ 00:15:51.120 Uttam Kumaran: Worst case, we can preload it.
184 00:15:52.380 ⇒ 00:15:53.540 Samuel Roberts: True, true.
185 00:15:53.760 ⇒ 00:15:56.270 Samuel Roberts: Yeah, I won’t clear this one then, just to make sure.
186 00:16:05.720 ⇒ 00:16:08.439 Samuel Roberts: Cool, this one’s finally got it, that’s good, okay.
187 00:16:10.040 ⇒ 00:16:13.450 Samuel Roberts: Okay, so again, this is an issue with it, and you probably realize it here.
188 00:16:13.560 ⇒ 00:16:21.270 Samuel Roberts: The customer’s… Are… only have one order.
189 00:16:22.370 ⇒ 00:16:23.570 Samuel Roberts: for everything.
190 00:16:24.580 ⇒ 00:16:26.110 Uttam Kumaran: Oh, okay.
191 00:16:26.110 ⇒ 00:16:32.549 Samuel Roberts: So we can… we can phrase this a little differently now, and say, like, you know, don’t use the ID, use the email me.
192 00:16:32.550 ⇒ 00:16:39.270 Uttam Kumaran: Here… well, here’s a… yeah, here’s another one. Can you just say, like, give me the geographic representation of our customers?
193 00:16:39.800 ⇒ 00:16:40.880 Samuel Roberts: Even better.
194 00:16:41.650 ⇒ 00:16:46.530 Samuel Roberts: Give me the geographic… Right.
195 00:16:50.670 ⇒ 00:16:51.849 Samuel Roberts: See what it does there.
196 00:17:01.800 ⇒ 00:17:04.270 Samuel Roberts: Very difficulty level. Oh, cool.
197 00:17:05.230 ⇒ 00:17:08.759 Samuel Roberts: I wonder if this actually is doing what it says, or if it’s just filler.
198 00:17:15.490 ⇒ 00:17:16.960 Samuel Roberts: Cool, that was fascinating.
199 00:17:19.119 ⇒ 00:17:20.099 Samuel Roberts: There you go.
200 00:17:22.240 ⇒ 00:17:23.950 Samuel Roberts: California dominates.
201 00:17:25.569 ⇒ 00:17:26.099 Samuel Roberts: I wonder if it’.
202 00:17:26.109 ⇒ 00:17:36.029 Uttam Kumaran: Nice, okay, so that’ll… so that’ll be our one, which is, like… Give me a… Geographic… Presentation…
203 00:17:36.030 ⇒ 00:17:40.600 Samuel Roberts: query primer, so it’s just showing California, it says, but… .
204 00:17:41.540 ⇒ 00:17:44.170 Uttam Kumaran: Maybe that there’s only California customers, yeah.
205 00:17:44.170 ⇒ 00:17:49.049 Samuel Roberts: Oh, here’s Texas. No, I think it’s just… it’s just dominated by California. Okay.
206 00:17:49.410 ⇒ 00:17:51.670 Uttam Kumaran: And then, can we try the last one? Like, tell me…
207 00:17:51.670 ⇒ 00:17:52.210 Samuel Roberts: Yeah.
208 00:17:52.210 ⇒ 00:17:54.659 Uttam Kumaran: our highest and lowest selling SKUs.
209 00:17:56.220 ⇒ 00:17:58.529 Samuel Roberts: Works on our highest…
210 00:18:03.660 ⇒ 00:18:06.049 Samuel Roberts: I love the suggestions here, too, like, it’s…
211 00:18:06.240 ⇒ 00:18:14.200 Samuel Roberts: it was fun for exploring. Especially someone that, like, kind of understands the data, but not really necessarily, like, how best to dig into it.
212 00:18:15.220 ⇒ 00:18:20.600 Samuel Roberts: I really appreciate that it’s got those little bits of, like, would you like to see it this way? How about this way? You know?
213 00:18:20.990 ⇒ 00:18:21.790 Uttam Kumaran: Yeah.
214 00:18:24.310 ⇒ 00:18:30.180 Samuel Roberts: like, technically, I’m like, oh yeah, all the data’s there, you can join it, you can do all this stuff, but, like, what… what the value is for them is… is…
215 00:18:30.290 ⇒ 00:18:33.160 Samuel Roberts: Yep, the jeans and the sunglasses, I remember that, yeah, that’s right.
216 00:18:38.010 ⇒ 00:18:51.900 Samuel Roberts: Yep, jeans, units sold, revenue, price… Top 5, category winners, Bottom performance Various specialty maternity plus-size items.
217 00:18:53.490 ⇒ 00:18:54.240 Samuel Roberts: Yeah.
218 00:19:00.190 ⇒ 00:19:05.740 Samuel Roberts: Seems to all be there. I wonder if this… I’m curious what’s the bottom of this. Is it all SKUs here? Let’s see…
219 00:19:06.700 ⇒ 00:19:10.380 Samuel Roberts: 150… Could be.
220 00:19:12.110 ⇒ 00:19:15.259 Samuel Roberts: Yeah, so, I mean, that seems to show it off pretty well, I guess.
221 00:19:16.880 ⇒ 00:19:23.239 Samuel Roberts: Any other ones you want to give a try here?
222 00:19:24.830 ⇒ 00:19:33.289 Uttam Kumaran: I think that’s fine for now, like, I’ll sort of… we can talk to them and see, sort of, like, anything else. So then now, can we… can we also walk through, like, a demo of…
223 00:19:33.530 ⇒ 00:19:42.939 Uttam Kumaran: chat to chart. And anyway, like, on this… on that one, can we hide, like, anything that’s, like, too technical?
224 00:19:43.210 ⇒ 00:19:47.689 Samuel Roberts: Yeah, so I would definitely hide this thing, I can hide this in the SQL.
225 00:19:47.690 ⇒ 00:19:48.720 Uttam Kumaran: Yeah.
226 00:19:48.840 ⇒ 00:19:53.459 Uttam Kumaran: And so, like, let’s just say, like, make me a… can you say just, like, make me a…
227 00:19:53.870 ⇒ 00:19:57.630 Uttam Kumaran: Do you know if there’s data from, like, the last… this is the year?
228 00:19:58.350 ⇒ 00:20:03.020 Samuel Roberts: I actually don’t remember. Those ones had 2022 orders in there, I think, so we could probably go.
229 00:20:03.020 ⇒ 00:20:13.579 Uttam Kumaran: Okay, so then let’s just say, like, make me a year-over-year… Bar chart comparison of sales.
230 00:20:16.720 ⇒ 00:20:18.730 Uttam Kumaran: I don’t know the order that we…
231 00:20:18.730 ⇒ 00:20:20.410 Samuel Roberts: Is my spelling. No, yeah.
232 00:20:23.230 ⇒ 00:20:26.249 Samuel Roberts: It’s… If anything, it’ll figure that out, you know.
233 00:20:28.100 ⇒ 00:20:30.780 Samuel Roberts: Order item data, let me generate the query.
234 00:20:31.990 ⇒ 00:20:37.180 Samuel Roberts: And then, yeah, it shows the chart options, but we can just close that, but that’s not created here.
235 00:20:37.890 ⇒ 00:20:39.390 Samuel Roberts: Why is it only showing that?
236 00:20:42.690 ⇒ 00:20:44.460 Samuel Roberts: Also not a bar chart.
237 00:20:53.140 ⇒ 00:20:54.010 Samuel Roberts: Okay, so this.
238 00:20:54.010 ⇒ 00:20:55.749 Uttam Kumaran: It just did it, basically, yeah.
239 00:20:55.750 ⇒ 00:20:56.590 Samuel Roberts: Yeah.
240 00:20:57.520 ⇒ 00:21:01.889 Uttam Kumaran: So, can you ask it to do, like, can you instead do, like, a line chart by month?
241 00:21:02.060 ⇒ 00:21:03.459 Uttam Kumaran: Maybe we can pass that?
242 00:21:03.460 ⇒ 00:21:06.010 Samuel Roberts: Yeah, it says monthly sales trends, you wanna just click that?
243 00:21:06.870 ⇒ 00:21:07.520 Uttam Kumaran: Yeah.
244 00:21:10.450 ⇒ 00:21:18.929 Samuel Roberts: Yeah, that’s exactly what we said, probably, so that’s good. Yeah, I had some of that going when I was testing, so I definitely know it has some data in there, at least. Yeah, there you go.
245 00:21:21.620 ⇒ 00:21:27.669 Samuel Roberts: I noticed the October data was a little weird when I was doing, like, total order volume and stuff.
246 00:21:28.350 ⇒ 00:21:34.820 Samuel Roberts: This only goes back to 2024. No past two complete years, there you go. All right, cool, yeah.
247 00:21:36.290 ⇒ 00:21:41.040 Uttam Kumaran: Okay, cool, so let’s note down… so that… so the question there was.
248 00:21:41.040 ⇒ 00:21:42.679 Samuel Roberts: Show me the monthly sales trends.
249 00:21:42.680 ⇒ 00:21:45.540 Uttam Kumaran: Yeah, so… .
250 00:21:45.790 ⇒ 00:21:51.490 Samuel Roberts: Show me the… you go forward. Okay, yeah, I was just gonna paste right there.
251 00:21:51.490 ⇒ 00:21:54.280 Uttam Kumaran: sale trends, And then…
252 00:21:54.810 ⇒ 00:21:55.250 Samuel Roberts: We can break.
253 00:21:55.250 ⇒ 00:22:02.279 Uttam Kumaran: Can we also do, like… well, can you also ask it to say… create a… U.s.
254 00:22:02.380 ⇒ 00:22:04.470 Uttam Kumaran: heat… U.S. state… U.S.
255 00:22:04.630 ⇒ 00:22:06.020 Samuel Roberts: Country heat map.
256 00:22:06.130 ⇒ 00:22:09.579 Uttam Kumaran: of… For sales by state.
257 00:22:10.330 ⇒ 00:22:12.170 Samuel Roberts: U.S, yeah.
258 00:22:12.170 ⇒ 00:22:12.620 Uttam Kumaran: because there’s.
259 00:22:12.620 ⇒ 00:22:13.000 Samuel Roberts: I see.
260 00:22:13.000 ⇒ 00:22:15.670 Uttam Kumaran: There’s, like, a… there’s a map type there.
261 00:22:18.090 ⇒ 00:22:22.459 Samuel Roberts: Sales by state over a certain period, or just say… let’s just see what it does.
262 00:22:24.330 ⇒ 00:22:31.810 Samuel Roberts: Yeah, so the one thing about this is, like, it overwrites everything here, so, like, if you want to save something specifically, you’d, like, go back to the dashboard and create a new one, probably.
263 00:22:32.280 ⇒ 00:22:35.700 Samuel Roberts: Whoa.
264 00:22:36.710 ⇒ 00:22:38.670 Samuel Roberts: That is close.
265 00:22:39.580 ⇒ 00:22:41.670 Samuel Roberts: Very close.
266 00:22:42.110 ⇒ 00:22:49.160 Samuel Roberts: But not quite, map is a region map, region is U.S. states, that’s what we’re looking for.
267 00:22:49.700 ⇒ 00:22:53.269 Samuel Roberts: And then they’re all blue.
268 00:22:55.390 ⇒ 00:23:00.260 Samuel Roberts: California states, most close dominance… I don’t see the data here, though.
269 00:23:01.710 ⇒ 00:23:05.940 Samuel Roberts: projections, customer care, volume, C.
270 00:23:06.060 ⇒ 00:23:08.519 Samuel Roberts: Alright, so that’s close, but it’s not quite there.
271 00:23:09.370 ⇒ 00:23:10.790 Uttam Kumaran: What did it do? Oh.
272 00:23:10.790 ⇒ 00:23:15.679 Samuel Roberts: I’m trying to see now, I think it’s just state is not null, it says here, so let’s look at the SQL real quick.
273 00:23:16.550 ⇒ 00:23:20.399 Samuel Roberts: Only some, order, sales, order, so is there data here, actually?
274 00:23:20.860 ⇒ 00:23:24.340 Samuel Roberts: Okay, so it didn’t seem to actually display…
275 00:23:24.340 ⇒ 00:23:27.180 Uttam Kumaran: Well, that’s what… I guess, mention that. Say, like, the…
276 00:23:27.510 ⇒ 00:23:31.520 Uttam Kumaran: The color… the colors need to match…
277 00:23:32.740 ⇒ 00:23:33.400 Samuel Roberts: Yeah.
278 00:23:34.660 ⇒ 00:23:41.950 Samuel Roberts: a color, or… can you manage… a scale, I guess, for the…
279 00:23:42.790 ⇒ 00:23:48.370 Samuel Roberts: Total volume of sales for each state.
280 00:23:51.750 ⇒ 00:23:56.779 Samuel Roberts: Yeah, see, it says it did it, but it didn’t, but I had to change the map, so I might have broken something there.
281 00:23:57.200 ⇒ 00:24:00.380 Samuel Roberts: Two of those.
282 00:24:03.860 ⇒ 00:24:05.810 Samuel Roberts: Okay, why is it not, then?
283 00:24:06.380 ⇒ 00:24:11.699 Uttam Kumaran: Okay, I just wanna… I don’t wanna, like… it’s fine if it’s not working, because I just wanna do a couple of them where…
284 00:24:11.700 ⇒ 00:24:13.080 Samuel Roberts: Yeah, no, it’s like…
285 00:24:13.080 ⇒ 00:24:15.800 Uttam Kumaran: Okay, so instead, like, maybe we should do,
286 00:24:16.130 ⇒ 00:24:21.830 Uttam Kumaran: What are some of these other chart types, like… These ones.
287 00:24:22.710 ⇒ 00:24:26.320 Samuel Roberts: We got, like, stacked, well, it’s gonna look weird for us, but it’s a stacked.
288 00:24:26.320 ⇒ 00:24:28.030 Uttam Kumaran: Like, what is this one?
289 00:24:28.030 ⇒ 00:24:30.639 Samuel Roberts: That’s a good AI summary.
290 00:24:31.080 ⇒ 00:24:33.350 Samuel Roberts: Some might just look at the data and read something out to you?
291 00:24:33.710 ⇒ 00:24:35.910 Uttam Kumaran: Okay, and then what is, like, what are these.
292 00:24:35.910 ⇒ 00:24:36.640 Samuel Roberts: Me too.
293 00:24:36.750 ⇒ 00:24:40.269 Samuel Roberts: Yeah, box plot, that’s gonna be weird for this, but…
294 00:24:40.750 ⇒ 00:24:46.309 Samuel Roberts: What’s this one? Single record… it just shows it, because you can also show the results, but it’ll just show you…
295 00:24:47.250 ⇒ 00:24:51.229 Samuel Roberts: one record, I guess, and then this is Markdown.
296 00:24:58.460 ⇒ 00:25:00.820 Samuel Roberts: Oh, there’s the editor, okay.
297 00:25:01.860 ⇒ 00:25:05.000 Samuel Roberts: So, like, what is… what is the Sparkline using?
298 00:25:05.230 ⇒ 00:25:07.470 Samuel Roberts: Field, okay, well, that’s kinda cool.
299 00:25:07.580 ⇒ 00:25:08.739 Samuel Roberts: Put it right in there.
300 00:25:09.780 ⇒ 00:25:10.590 Samuel Roberts: Alright.
301 00:25:11.700 ⇒ 00:25:15.200 Samuel Roberts: So this, this could be a report generator if you want to write Markdown, but…
302 00:25:18.720 ⇒ 00:25:20.940 Samuel Roberts: I wonder if you can get it to write the markdowns.
303 00:25:21.300 ⇒ 00:25:24.970 Samuel Roberts: And this is probably just… what is Vega code? I don’t know Vega.
304 00:25:26.610 ⇒ 00:25:29.359 Samuel Roberts: Vagal light. Such a graphing…
305 00:25:31.230 ⇒ 00:25:36.830 Uttam Kumaran: Is there anything about, like, where you can set…
306 00:25:38.310 ⇒ 00:25:41.540 Uttam Kumaran: like, can you look at this one? This… this… what is this one? The heat map one?
307 00:25:41.540 ⇒ 00:25:44.490 Samuel Roberts: Oh, what’d it say there?
308 00:25:44.610 ⇒ 00:25:52.290 Samuel Roberts: Right, it’s two dimension and one measure, so it’s just like a 2D… bought with, like, color…
309 00:25:52.610 ⇒ 00:25:54.810 Samuel Roberts: A color scale, so it’s kind of like throwing.
310 00:25:55.130 ⇒ 00:26:01.330 Uttam Kumaran: So maybe can we… can you ask him to do, like, a… can we do a 100% area chart by state?
311 00:26:03.100 ⇒ 00:26:10.129 Samuel Roberts: Yeah, okay, let’s, so we gotta… yeah, we could ask for that. Let’s make a chart…
312 00:26:10.940 ⇒ 00:26:15.749 Samuel Roberts: Of, what was it called again? The stacked… 100 ton stacked area.
313 00:26:17.100 ⇒ 00:26:21.309 Samuel Roberts: We’ll just call it stack… alright, or no, we want 100% of that specific, isn’t it?
314 00:26:25.920 ⇒ 00:26:29.210 Samuel Roberts: Area chart, with each state.
315 00:26:30.470 ⇒ 00:26:34.559 Samuel Roberts: state… each U.S. state. Maybe I’ll specify, because it definitely saw a few others.
316 00:26:36.550 ⇒ 00:26:38.770 Samuel Roberts: Okay, that’s see what it does.
317 00:26:42.810 ⇒ 00:26:50.310 Samuel Roberts: Because, yeah, it clearly has some control over what gets viewed here. I think it’s… most of the work is obviously getting the data and generating that.
318 00:26:50.660 ⇒ 00:26:55.249 Samuel Roberts: But… Yeah, it’s not Birmingham listed. Okay, good, so it’s filtering out some things.
319 00:26:59.370 ⇒ 00:27:05.429 Samuel Roberts: And then, yeah, I don’t know exactly how it’s controlling this, because this is less codey, but it’s got to be something that it can…
320 00:27:05.880 ⇒ 00:27:10.469 Samuel Roberts: Lip 2. Whoa, alright, that is… Aberdenshire is not what we’re looking for, okay.
321 00:27:10.750 ⇒ 00:27:12.000 Uttam Kumaran: Okay, this is by…
322 00:27:12.000 ⇒ 00:27:16.760 Samuel Roberts: Arkansas, Alabama, yeah, so there’s a few here, but it’s displaying a ton of stuff that is not.
323 00:27:16.760 ⇒ 00:27:17.819 Uttam Kumaran: This is by city.
324 00:27:18.490 ⇒ 00:27:19.870 Samuel Roberts: Well, kinda.
325 00:27:20.170 ⇒ 00:27:26.910 Samuel Roberts: I think there’s, like, more than it realizes here, you know? Like… This is still Arizona.
326 00:27:27.960 ⇒ 00:27:28.480 Uttam Kumaran: Oh, look.
327 00:27:28.480 ⇒ 00:27:29.310 Samuel Roberts: It’s Arkansas.
328 00:27:29.310 ⇒ 00:27:30.990 Uttam Kumaran: Not state, not in…
329 00:27:31.850 ⇒ 00:27:36.040 Samuel Roberts: Yeah, I did something weird. I’ll say, like, let’s… Let’s…
330 00:27:36.290 ⇒ 00:27:41.319 Samuel Roberts: just use the… oh, wait, yeah, how… Let’s look at that, actually.
331 00:27:42.560 ⇒ 00:27:49.770 Uttam Kumaran: Okay, well, I feel like maybe we should just… we could just do the… I want… so I just… I know we’re running up on time, so I just want to test the Slack… the Slack one.
332 00:27:51.230 ⇒ 00:27:56.020 Uttam Kumaran: So let’s maybe, like, can we test the Slack one for…
333 00:27:56.140 ⇒ 00:27:58.510 Uttam Kumaran: One of the ones we already did, which is, like.
334 00:27:59.070 ⇒ 00:28:01.600 Samuel Roberts: Yeah. Tell me our highest scaling SKUs.
335 00:28:11.420 ⇒ 00:28:19.579 Samuel Roberts: Oops, I forgot I had Ctrl-Enter half the time. Okay, so then it should go back and display something quick, but I get this error sometimes, and I’m not sure why.
336 00:28:19.750 ⇒ 00:28:23.929 Samuel Roberts: Thought I fixed that, it might… I might have to just reboot the server over here. It doesn’t.
337 00:28:24.260 ⇒ 00:28:29.089 Samuel Roberts: Let’s do that, actually, because it was running all managed, technically, and I don’t know exactly how good this code is, but…
338 00:28:29.680 ⇒ 00:28:32.090 Samuel Roberts: Let’s try that again. Boop.
339 00:28:33.090 ⇒ 00:28:34.889 Samuel Roberts: That’s what we’re looking for, okay.
340 00:28:36.970 ⇒ 00:28:40.390 Samuel Roberts: So what this does is basically hits the API that is, like.
341 00:28:40.550 ⇒ 00:28:51.769 Samuel Roberts: the AI figuring out the query, gets that back, hits the API that does the query, and then just spits up a CSV file into Slack so you can view it.
342 00:28:52.080 ⇒ 00:28:52.960 Uttam Kumaran: Okay.
343 00:28:53.390 ⇒ 00:28:54.549 Samuel Roberts: So, you know…
344 00:28:54.780 ⇒ 00:28:59.520 Samuel Roberts: I imagine they could think about how this could be graphs, or it could be whatever you want. Yeah, but…
345 00:28:59.520 ⇒ 00:29:12.630 Uttam Kumaran: But totally, like, we can take the CSV, put it into context, and have it summarized. Like, that’s easy. So all I want to demo, basically… so I think it’s pretty great. So let’s… so chapter, show me monthly sales. So what was our line graph one?
346 00:29:13.410 ⇒ 00:29:16.139 Samuel Roberts: Nuh- let me jump in. Where are we?
347 00:29:16.250 ⇒ 00:29:19.729 Samuel Roberts: Chat… here… or the dashboard, sorry.
348 00:29:20.090 ⇒ 00:29:23.860 Uttam Kumaran: Well, what was our line graph question?
349 00:29:24.760 ⇒ 00:29:28.939 Samuel Roberts: I’m trying to remember now. So many sales trends over the last 2 years.
350 00:29:29.180 ⇒ 00:29:32.399 Uttam Kumaran: So many sales from the last few years as a line chart, right?
351 00:29:32.710 ⇒ 00:29:35.219 Samuel Roberts: Yeah, I think it figured out line chart, but we could specify that.
352 00:29:35.970 ⇒ 00:29:45.849 Uttam Kumaran: Okay, so then… so that’s… so that’s what we’ll go through. So, we’ll go through, give me a snapshot of orders, give me a geographic representation of customers, tell me your highest selling SKUs.
353 00:29:46.190 ⇒ 00:29:50.670 Uttam Kumaran: And then we’ll say, cool, I think you can just say, right now, I want to show a demo of us
354 00:29:50.870 ⇒ 00:29:59.219 Uttam Kumaran: Yep. Chatting to get, like, a dashboard created, and the last demo is… Slack, chat to…
355 00:29:59.900 ⇒ 00:30:04.100 Uttam Kumaran: like, an answer. So what I… so what I can do is, like, I can, like.
356 00:30:04.370 ⇒ 00:30:09.640 Uttam Kumaran: narrate through it, if you just want to be, like, Ready to rip the…
357 00:30:09.640 ⇒ 00:30:10.670 Samuel Roberts: That’s perfect.
358 00:30:10.670 ⇒ 00:30:12.920 Uttam Kumaran: I am… I…
359 00:30:13.070 ⇒ 00:30:18.430 Uttam Kumaran: there is a chance that he’s like, can I ask it a question? And we will just have to, like.
360 00:30:18.660 ⇒ 00:30:22.800 Uttam Kumaran: roll with it. If he doesn’t, if he doesn’t, then we’re in the money. If he does, then…
361 00:30:23.250 ⇒ 00:30:28.399 Uttam Kumaran: like, I would just say, don’t ask him the exact question he asked, like, see if we could shape it a little bit.
362 00:30:28.680 ⇒ 00:30:29.759 Samuel Roberts: Yeah, yeah, definitely.
363 00:30:29.760 ⇒ 00:30:31.050 Uttam Kumaran: Output that’s gonna work.
364 00:30:32.750 ⇒ 00:30:47.330 Uttam Kumaran: So, basically, what we pitched them on, and so I’ll start the meeting, I’ll intro us, I’ll… like, I’ve… I’ve worked with… we’ve worked with similar companies, so basically, what I want to get to is the point of, like, look, you agree that
365 00:30:47.680 ⇒ 00:30:55.709 Uttam Kumaran: the… the core things you want to do is, like, get Sage data into, like, a simple warehouse.
366 00:30:55.970 ⇒ 00:30:56.350 Samuel Roberts: Yep.
367 00:30:56.350 ⇒ 00:31:03.550 Uttam Kumaran: slap on a BI tool and enable natural querying, and you want to do it all for under
368 00:31:03.760 ⇒ 00:31:19.439 Uttam Kumaran: five grand, I want to basically say, look, what you’re paying for here is you’re gonna pay for our time, and you’re gonna pay for the tooling. And so there… you want to keep it very, very lean. Here’s the best option. One, we should just use, like.
369 00:31:19.880 ⇒ 00:31:36.940 Uttam Kumaran: mother duck, it’s the cheapest warehouse option. I would say, instead of developing your own MCP, your own AI tool, and your own integrations, we should just use Omni. I can probably get that for you for between 1 to 2K a month, and then…
370 00:31:37.120 ⇒ 00:31:48.740 Uttam Kumaran: like, the… and then I would say we could probably set up a basic version of this, like, for 5K in one month, and then you can decide on budget.
371 00:31:48.920 ⇒ 00:31:52.239 Uttam Kumaran: Longer term. So that’s, like, that’s basically what I’m gonna…
372 00:31:52.710 ⇒ 00:31:54.090 Samuel Roberts: Yeah, I think that makes sense.
373 00:31:54.460 ⇒ 00:31:58.300 Uttam Kumaran: Yeah, so let me just write… I’m just gonna write that down, and I just rambled that.
374 00:31:58.300 ⇒ 00:31:59.370 Samuel Roberts: Yeah.
375 00:32:00.690 ⇒ 00:32:02.470 Samuel Roberts: And granola somewhere, hold on, I’m missing.
376 00:32:03.860 ⇒ 00:32:05.220 Uttam Kumaran: Yeah, CC51.
377 00:32:05.220 ⇒ 00:32:09.620 Samuel Roberts: I can probably get… oh, there’s a bus that said, yeah, a few times in the middle, but…
378 00:32:09.960 ⇒ 00:32:24.010 Uttam Kumaran: Okay, so… Cool. So, goal, sage data into warehouse with BI, AI on top.
379 00:32:24.240 ⇒ 00:32:28.380 Uttam Kumaran: The cheapest warehouse is Mother Duck.
380 00:32:28.810 ⇒ 00:32:31.670 Uttam Kumaran: It’s gonna be free, or 25.
381 00:32:32.100 ⇒ 00:32:36.310 Uttam Kumaran: 25… for months.
382 00:32:36.500 ⇒ 00:32:45.830 Uttam Kumaran: the AI tooling, is expensive to build. Yeah. So you should buy…
383 00:32:45.940 ⇒ 00:32:49.570 Uttam Kumaran: Omni, 1 to 2K a month.
384 00:32:50.630 ⇒ 00:32:58.940 Uttam Kumaran: And then our time, we can get this done for 5K for the first month.
385 00:32:59.510 ⇒ 00:33:08.990 Uttam Kumaran: But… will need to understand longer-term commitment. Okay, great.
386 00:33:09.530 ⇒ 00:33:10.300 Uttam Kumaran: Alright.
387 00:33:10.450 ⇒ 00:33:11.729 Uttam Kumaran: Let’s hop into it.
388 00:33:12.510 ⇒ 00:33:13.659 Samuel Roberts: Alright, I’ll see you over there.
389 00:33:13.660 ⇒ 00:33:14.740 Uttam Kumaran: Thank you, dude. Bye.