Meeting Title: Zoran - Brylle - L&D Check-In Date: 2026-04-10 Meeting participants: Brylle Girang, Zoran Selinger
WEBVTT
1 00:03:47.070 ⇒ 00:03:48.170 Zoran Selinger: Hi. Hello.
2 00:03:50.230 ⇒ 00:03:51.460 Brylle Girang: Hey!
3 00:03:53.550 ⇒ 00:03:54.430 Brylle Girang: Happy Friday!
4 00:03:54.430 ⇒ 00:03:55.010 Zoran Selinger: boy.
5 00:03:55.800 ⇒ 00:03:57.520 Zoran Selinger: Yeah, yeah, happy Friday.
6 00:03:57.520 ⇒ 00:04:03.870 Brylle Girang: Good, great, great! So, thank you for joining this meeting. This is part of my initiative with L&D.
7 00:04:03.920 ⇒ 00:04:20.489 Brylle Girang: And I just want to make sure that I get the chance to, like, talk with all of our team members here, and try to get a baseline on, like, how well our understanding of the platform, cursor, scales, etc. Like, basically everything that we’re building is
8 00:04:20.829 ⇒ 00:04:38.380 Brylle Girang: So, you’re not the only one that I’m meeting. I actually have lots of calls today with all of our people, and this is just going to be, you know, me interviewing you about how well you understand our platform, how well you keep up with whatever we’re building, etc.
9 00:04:39.100 ⇒ 00:04:40.419 Brylle Girang: Does that sound good?
10 00:04:41.250 ⇒ 00:04:42.100 Zoran Selinger: Sure, sure.
11 00:04:42.300 ⇒ 00:04:52.680 Brylle Girang: Perfect. Yeah, so, I guess I have also talked with Utam, and he mentioned that he had time to, like, walk you through how we used Cursor yesterday.
12 00:04:52.820 ⇒ 00:04:53.959 Brylle Girang: How did that go?
13 00:04:54.560 ⇒ 00:05:07.780 Zoran Selinger: Yeah, for… for really specific purpose, here. And this is, like, specific for service leads, and… and how we, how we build playbooks, and… and similar.
14 00:05:08.410 ⇒ 00:05:16.390 Zoran Selinger: I mean, that was… we didn’t go into much… into much detail. We essentially, just…
15 00:05:16.930 ⇒ 00:05:28.160 Zoran Selinger: just talk to… talk to the models, and that’s it. And yeah, it was… it was really… it was able to understand
16 00:05:29.130 ⇒ 00:05:43.610 Zoran Selinger: and do exactly what we wanted. We… I did not directly use, like, call-specific skills. It just recognized the skills that it needs to… it needs to,
17 00:05:43.830 ⇒ 00:05:48.159 Zoran Selinger: Execute, it was just as simple as that.
18 00:05:48.470 ⇒ 00:05:50.460 Zoran Selinger: Yeah.
19 00:05:51.780 ⇒ 00:05:56.280 Brylle Girang: Okay, and before your call with Utam, like, have you been using Cursor?
20 00:05:56.620 ⇒ 00:05:57.430 Zoran Selinger: Yeah.
21 00:05:57.430 ⇒ 00:05:57.930 Brylle Girang: or other stuff.
22 00:05:57.930 ⇒ 00:06:04.279 Zoran Selinger: Yeah, I mean, I’ve been… I’ve been using AI in work for the last…
23 00:06:04.970 ⇒ 00:06:12.040 Zoran Selinger: a little over a year. Okay. And here, specifically,
24 00:06:13.400 ⇒ 00:06:24.379 Zoran Selinger: It was just… we changed so much, playbooks changed so much over the last couple of months. New things are introduced essentially daily.
25 00:06:24.610 ⇒ 00:06:25.070 Brylle Girang: Okay.
26 00:06:25.070 ⇒ 00:06:32.919 Zoran Selinger: Which has been… it’s been harder for me to follow up on all of that.
27 00:06:36.190 ⇒ 00:06:36.540 Brylle Girang: Okay.
28 00:06:36.780 ⇒ 00:06:45.520 Zoran Selinger: the only, the only really, the only struggle that I had, is, keeping track of everything that, that’s happening.
29 00:06:47.970 ⇒ 00:06:48.790 Zoran Selinger: Yeah.
30 00:06:49.190 ⇒ 00:07:05.850 Brylle Girang: Okay, okay, okay, that helps, that helps. So, it looks like you’re using Cursor, trying to use it to improve your efficiency, but the main challenge that you’re encountering is that lots of changes are happening, and you can’t keep up, like, on a daily basis with those changes. Is that right?
31 00:07:07.200 ⇒ 00:07:07.920 Brylle Girang: Yeah. Okay.
32 00:07:07.920 ⇒ 00:07:09.679 Zoran Selinger: Yeah, yeah.
33 00:07:10.010 ⇒ 00:07:10.550 Brylle Girang: Okay.
34 00:07:10.860 ⇒ 00:07:16.189 Zoran Selinger: But, yeah, I talked to Utami, there’s not… there’s no real, like…
35 00:07:16.770 ⇒ 00:07:25.929 Zoran Selinger: easy solution to that. You just simply have to sit down and, like, put an hour aside and just do that for an hour.
36 00:07:26.090 ⇒ 00:07:34.990 Zoran Selinger: Right? And you get there. That’s… there is no… there is no secret to that. You just… you just have to do it.
37 00:07:35.140 ⇒ 00:07:41.010 Zoran Selinger: In a… in a focused session, and… and it’s gonna be fine.
38 00:07:41.920 ⇒ 00:07:49.700 Zoran Selinger: So I just, hedged… and I know that, I just, couldn’t find time for it.
39 00:07:49.700 ⇒ 00:07:55.070 Brylle Girang: Yeah, yeah, yeah, yeah, I know, I know. But I would argue with that, because I think that
40 00:07:55.240 ⇒ 00:08:09.860 Brylle Girang: we have lots of stuff that we can do to, like, make it easier for you to digest this information. Like, with everything that you’re doing for your clients, I’m pretty sure that finding that time is going to be increasingly difficult as we grow.
41 00:08:09.860 ⇒ 00:08:17.670 Brylle Girang: Right? So, I just wanted to share this with you, one initiative that we’re actually focusing on, and I will be launching hopefully this week.
42 00:08:18.410 ⇒ 00:08:21.549 Brylle Girang: is, like, the DoorDash.
43 00:08:21.900 ⇒ 00:08:24.310 Brylle Girang: the DoorDash workflow, so…
44 00:08:25.430 ⇒ 00:08:29.919 Brylle Girang: This is just a screenshot of, you know, what I’m testing out with the learning.
45 00:08:29.920 ⇒ 00:08:30.510 Zoran Selinger: minimum.
46 00:08:30.510 ⇒ 00:08:36.850 Brylle Girang: Inc, but the DoorDash workflow… is there DoorDash there in your place? Like, are you using it.
47 00:08:36.850 ⇒ 00:08:38.169 Zoran Selinger: No, no.
48 00:08:38.179 ⇒ 00:08:42.639 Brylle Girang: Okay, what are you using there to, like, order food online, have it delivered?
49 00:08:42.640 ⇒ 00:08:53.909 Zoran Selinger: So we… right now, I mean, I’m from a really small town, so we have direct… direct deliveries from… every restaurant will have their own.
50 00:08:53.910 ⇒ 00:08:54.989 Brylle Girang: Oh, okay, okay, okay.
51 00:08:54.990 ⇒ 00:09:02.410 Zoran Selinger: Yeah, we, we don’t, we don’t have, platforms. They are in bigger, bigger cities, but I’m in a really small town, yeah.
52 00:09:02.570 ⇒ 00:09:22.060 Brylle Girang: Okay, direct deliveries then. So, it works basically like this, like, in Brainforge, like, we’re building a workflow where we can do direct deliveries for… from the kitchen over to your house. So, the kitchen is like UTAM and our platform team, so they’re, like, building stuff right now.
53 00:09:22.880 ⇒ 00:09:37.599 Brylle Girang: Previously, the expectation is that you should go to the store, like, try to find out what you want, and then try to eat, like, in one sitting, right? And that’s what you talked about earlier, like, having focus sessions, focus time, trying to eat.
54 00:09:37.600 ⇒ 00:09:53.630 Brylle Girang: whatever the platform team is building. So, we’re building a workflow where we, as the learning and development team, will be, like, the delivery riders for you and the platform team. So instead of us expecting you to, like, go to the… go to the store.
55 00:09:53.630 ⇒ 00:09:58.840 Brylle Girang: We try to deliver the updates and the changes over to you.
56 00:09:59.720 ⇒ 00:10:01.200 Brylle Girang: consistent basis.
57 00:10:01.580 ⇒ 00:10:09.740 Brylle Girang: So this is what I was saying earlier, that I’m arguing that we… we might be able to, like, help you out when it comes to digesting these changes.
58 00:10:09.740 ⇒ 00:10:22.230 Brylle Girang: And this workflow is what we’re going to try and see if it works. So what’s going to happen is that, for updates and PRs and changes that the platform team will be launching.
59 00:10:22.230 ⇒ 00:10:28.949 Brylle Girang: L&D will make sure that you have a way to, like, understand all of those changes.
60 00:10:29.100 ⇒ 00:10:45.680 Brylle Girang: So it might be, you know, through a weekly… just a weekly Slack message to everyone saying that, hey, these are the stuff, these are the changes that we made during… through our platform last week. Take your time every Monday, take 10 minutes to read through those.
61 00:10:46.210 ⇒ 00:10:49.439 Brylle Girang: If there are, you know, big changes, we might even…
62 00:10:49.620 ⇒ 00:10:57.420 Brylle Girang: send out, like, a Zoom recording explaining what that changes, how that works, how it will help you out.
63 00:10:57.620 ⇒ 00:11:06.829 Brylle Girang: Or for really, really big changes, let’s say new systems, new tools, we’ll be launching specific courses that you can take on your own time.
64 00:11:07.290 ⇒ 00:11:10.840 Brylle Girang: That can help you understand what happened or what changed.
65 00:11:11.790 ⇒ 00:11:20.970 Brylle Girang: So that’s what we’re trying to, like, do here to help people out. Do you think that this is something that, you know, can help you adapt to our changes?
66 00:11:21.820 ⇒ 00:11:27.600 Zoran Selinger: Yes, yes, a really clear, like, If I want to see
67 00:11:27.850 ⇒ 00:11:33.819 Zoran Selinger: If I want to see all the changes in one place, that’s definitely, that definitely helps.
68 00:11:34.470 ⇒ 00:11:52.320 Brylle Girang: Okay, so I think with this, let’s say a weekly update has been delivered over to your Slack, we provide you, like, Zoom recordings, we provide you learning courses if needed. Do you think that’s… it’s easier to commit to that instead of, like, a focus session every week or every day?
69 00:11:52.880 ⇒ 00:11:53.950 Zoran Selinger: Of course, of course.
70 00:11:53.950 ⇒ 00:11:54.780 Brylle Girang: Okay.
71 00:11:54.780 ⇒ 00:12:04.429 Zoran Selinger: Yeah, I mean, yeah, I thought about that, like, there’s, like, so many skills and small things that help us. If I had a…
72 00:12:04.700 ⇒ 00:12:12.590 Zoran Selinger: 30-second demo video of every single thing that’s, that’s there, it would be… obviously, it would be easier.
73 00:12:12.670 ⇒ 00:12:24.949 Zoran Selinger: Okay. But it doesn’t necessarily have to be a video for every single thing, but if, yeah, if there… there is a few, few demos in there.
74 00:12:25.340 ⇒ 00:12:32.939 Zoran Selinger: that’s obviously easier to understand when you actually, actually see it. A lot of us will be… will…
75 00:12:33.140 ⇒ 00:12:37.870 Zoran Selinger: We’ll be helped by some… something visual.
76 00:12:37.870 ⇒ 00:12:49.980 Brylle Girang: Yeah, yeah, yeah. Okay, okay, that helps. So, when you were explaining that, I take it that you’re more of a, like, a visual learner. Like, you learn better when you see how it’s being done, is that right?
77 00:12:50.480 ⇒ 00:12:56.600 Zoran Selinger: Oh yeah, it’s easier, of course, yeah. Okay. But it’s not necessary, but it helps, of course.
78 00:12:56.600 ⇒ 00:12:58.669 Brylle Girang: Okay, okay, gotcha. Alright.
79 00:12:59.500 ⇒ 00:13:09.869 Brylle Girang: Yeah, so I think, aside from that, aside from, like, your challenge with, like, adopting to how quickly the platform team is doing stuff, changing stuff, etc, what are other challenges that are, like.
80 00:13:10.390 ⇒ 00:13:15.930 Brylle Girang: Preventing you from actually learning every step of the way.
81 00:13:17.940 ⇒ 00:13:25.789 Zoran Selinger: So there’s… Obviously, there is a little bit of,
82 00:13:25.890 ⇒ 00:13:32.009 Zoran Selinger: And it goes… it just goes to the same point, is, there’s also…
83 00:13:32.570 ⇒ 00:13:38.720 Zoran Selinger: And I’m not super familiar with the… with the standards of everything that…
84 00:13:39.230 ⇒ 00:13:45.500 Zoran Selinger: can be done and needs to be done, right? So, for example, I started…
85 00:13:45.980 ⇒ 00:13:50.479 Zoran Selinger: on the activation… edge-to-activation playbook.
86 00:13:50.650 ⇒ 00:13:51.650 Zoran Selinger: Already.
87 00:13:52.540 ⇒ 00:14:03.140 Zoran Selinger: a month, month and a half ago, right? Since we changed our standards and the way to do it multiple times, for example.
88 00:14:04.350 ⇒ 00:14:05.310 Zoran Selinger: Any just…
89 00:14:05.540 ⇒ 00:14:16.259 Zoran Selinger: I haven’t been able to keep up, so I’m not sure. So, I have this playbook now, and I don’t understand, at the moment, okay.
90 00:14:16.580 ⇒ 00:14:17.919 Zoran Selinger: Is this good?
91 00:14:18.660 ⇒ 00:14:28.349 Zoran Selinger: Can that be used already by the… by the standards, or did we add things to the standard? What do I need to… what do I need to change?
92 00:14:28.460 ⇒ 00:14:34.450 Zoran Selinger: It was very simple. We touched on that in a call we do, Tom.
93 00:14:34.450 ⇒ 00:14:34.870 Brylle Girang: Okay.
94 00:14:34.870 ⇒ 00:14:39.489 Zoran Selinger: Two days ago, and we simply asked. We asked the model.
95 00:14:39.490 ⇒ 00:14:39.810 Brylle Girang: Yeah.
96 00:14:39.810 ⇒ 00:14:41.509 Zoran Selinger: So we have this playable.
97 00:14:41.780 ⇒ 00:14:46.330 Zoran Selinger: You know, It’s mostly…
98 00:14:46.480 ⇒ 00:14:54.610 Zoran Selinger: been written a month ago, things changed and standards change since then, what else do I need to add to it? Or change, whatever?
99 00:14:54.790 ⇒ 00:15:05.440 Zoran Selinger: And it had answers for us. So I just, yeah, I’ll need… as an S cell, I’ll need, obviously, I’ll need to spend time doing those things, right?
100 00:15:05.440 ⇒ 00:15:05.930 Brylle Girang: Yeah.
101 00:15:05.930 ⇒ 00:15:11.009 Zoran Selinger: just about working on whatever ticket there is.
102 00:15:11.230 ⇒ 00:15:18.480 Zoran Selinger: But it’s… I have to spend time, working on those playbooks, and… No, automations.
103 00:15:18.650 ⇒ 00:15:20.570 Zoran Selinger: That are necessary, yeah.
104 00:15:20.740 ⇒ 00:15:21.919 Brylle Girang: Yeah, okay.
105 00:15:21.920 ⇒ 00:15:23.190 Zoran Selinger: do that, I…
106 00:15:23.580 ⇒ 00:15:32.169 Zoran Selinger: I don’t have… I think the standard is to add, and improve on playbooks weekly, if I read correctly.
107 00:15:32.480 ⇒ 00:15:34.669 Zoran Selinger: So, yeah, I wanna… I wanna do that.
108 00:15:34.950 ⇒ 00:15:39.200 Zoran Selinger: Okay. So I don’t have it still in my head if I’m gonna…
109 00:15:40.620 ⇒ 00:15:43.330 Zoran Selinger: Do that, like, a scheduled thing?
110 00:15:43.590 ⇒ 00:15:43.950 Brylle Girang: Yeah.
111 00:15:46.190 ⇒ 00:15:53.880 Zoran Selinger: But it’s something to… I’m just… I’m just gonna see what happens. However, I am going to force myself
112 00:15:54.010 ⇒ 00:15:59.050 Zoran Selinger: things are naturally gonna come up, and they did. Like, over the last few weeks.
113 00:15:59.300 ⇒ 00:16:15.660 Zoran Selinger: when working on EMBL specifically, I, for example, we stumbled upon multiple things that we haven’t checked before going into… into the… the first section that never… that we never encountered with Eden, for example.
114 00:16:15.870 ⇒ 00:16:20.939 Zoran Selinger: Right? So, obviously, those checks need to be added to the playbook, and I’ve been doing that.
115 00:16:21.450 ⇒ 00:16:27.849 Zoran Selinger: I’ve been doing that. So, I think just naturally, by us doing the work.
116 00:16:28.190 ⇒ 00:16:31.310 Zoran Selinger: Weekly shouldn’t be a problem in terms of,
117 00:16:31.750 ⇒ 00:16:34.630 Zoran Selinger: In terms of the playbooks and everything else.
118 00:16:34.750 ⇒ 00:16:35.380 Zoran Selinger: Okay.
119 00:16:35.380 ⇒ 00:16:40.589 Brylle Girang: And by, by, like, by doing that, what do you mean? Do you mean, like, you’.
120 00:16:40.590 ⇒ 00:16:43.409 Zoran Selinger: We’re simply working on the tickets in that area.
121 00:16:43.410 ⇒ 00:16:44.290 Brylle Girang: Oh, okay.
122 00:16:44.290 ⇒ 00:16:50.480 Zoran Selinger: So, we were implementing… so, this is, for Amble, this is literally our second
123 00:16:50.800 ⇒ 00:16:56.150 Zoran Selinger: Edge to activation implementation, right? So… you can…
124 00:16:56.610 ⇒ 00:17:08.880 Zoran Selinger: we have experience with what we experienced with Eden, right? And maybe we can think of… maybe you can think of, if you think really hard, about some kind of
125 00:17:08.880 ⇒ 00:17:22.090 Zoran Selinger: other obstacle that you might encounter in the future, but realistically, now when we started with Ambo, we did find 3 or 4 checks that we missed before.
126 00:17:22.910 ⇒ 00:17:27.339 Zoran Selinger: So that’s how we found new things, simply by doing the work, and okay.
127 00:17:27.859 ⇒ 00:17:34.869 Zoran Selinger: You see? This is… this is new. We should have checked, right? For example,
128 00:17:35.100 ⇒ 00:17:38.139 Zoran Selinger: initially, I did not check where…
129 00:17:38.880 ⇒ 00:17:48.579 Zoran Selinger: what location in BigQuery their data is sitting in, and I created the edge layer tables in the US location.
130 00:17:49.130 ⇒ 00:17:53.050 Zoran Selinger: And then you cannot do merges. You cannot do merging.
131 00:17:53.680 ⇒ 00:17:55.260 Zoran Selinger: In DVD.
132 00:17:55.820 ⇒ 00:17:59.490 Brylle Girang: So you, you, you did… You did everything… again?
133 00:17:59.490 ⇒ 00:18:06.480 Zoran Selinger: So I had to… I had to recreate the tables in European Union.
134 00:18:06.480 ⇒ 00:18:07.030 Brylle Girang: Oh, no.
135 00:18:07.030 ⇒ 00:18:16.040 Zoran Selinger: And only then do modeling, like, for reverse ETL, stuff like that. For example, that’s a check that I completely missed.
136 00:18:17.630 ⇒ 00:18:18.650 Zoran Selinger: So…
137 00:18:18.920 ⇒ 00:18:30.659 Zoran Selinger: it’s… it’s those kinds of things, which are normal things when you’re developing a new thing completely, right? You don’t know what you don’t know.
138 00:18:31.350 ⇒ 00:18:42.259 Zoran Selinger: And just by nature of doing it, you learn new stuff and new checks, and you’re gonna be better prepared next time. And I’ve been adding those to the playbook.
139 00:18:42.810 ⇒ 00:18:57.339 Zoran Selinger: And I’m… yeah, just now it’s… it’s clear on how to do it. It was… it wasn’t clear to me, like, specific stuff, like, okay, I have my H2 activation, branch.
140 00:18:57.340 ⇒ 00:19:07.850 Zoran Selinger: I’m doing the changes there, so initial changes were merged into the main, so if I… I want to add new changes, what exactly do I do? Do I…
141 00:19:08.110 ⇒ 00:19:15.900 Zoran Selinger: create a new branch, an existing… how does it go? But then, Utam told me, you guys have
142 00:19:16.080 ⇒ 00:19:21.520 Zoran Selinger: a whole skill that will add, like, the PR, ticket, everything.
143 00:19:21.770 ⇒ 00:19:27.599 Zoran Selinger: So just do the work in any of the branches, and it’ll know what to do, essentially.
144 00:19:27.600 ⇒ 00:19:28.970 Brylle Girang: Yeah, yeah, yeah.
145 00:19:28.970 ⇒ 00:19:30.790 Zoran Selinger: Yeah, that’s… that’s really cool.
146 00:19:31.050 ⇒ 00:19:45.469 Brylle Girang: Okay, okay, that helps. I think a one takeaway that I am also going to pass over to you is that when you’re in doubt, like, you don’t know what to do, you don’t know what the standards are, you don’t know what the updates are, ask the model, ask cursor.
147 00:19:45.540 ⇒ 00:19:46.850 Zoran Selinger: Yeah, yeah.
148 00:19:46.850 ⇒ 00:19:55.560 Brylle Girang: I think it’s, the platform is amazingly structured enough to make sure that it can give you, like, at least a bite-sized piece of what you need.
149 00:19:55.770 ⇒ 00:20:01.639 Brylle Girang: For whatever you’re doing. And when you’re updating the playbooks, you know, don’t do it manually. Use cursor for that.
150 00:20:01.810 ⇒ 00:20:07.930 Brylle Girang: Yeah. Create a plan. Have you tried, like, creating a plan within Cursor?
151 00:20:09.000 ⇒ 00:20:18.240 Zoran Selinger: for what specifically? I mean, the playbook that was created, I’ve done almost nothing manually. I am… I’m using.
152 00:20:18.240 ⇒ 00:20:18.610 Brylle Girang: Okay.
153 00:20:18.610 ⇒ 00:20:20.339 Zoran Selinger: using AI for everything.
154 00:20:20.340 ⇒ 00:20:21.500 Brylle Girang: Alright, perfect.
155 00:20:21.500 ⇒ 00:20:33.609 Zoran Selinger: Yeah, it’s just, I’m typically using it for smaller, smaller bite pieces than you guys.
156 00:20:33.870 ⇒ 00:20:45.309 Zoran Selinger: And we stumbled upon this a few times in a call with Utam. I’m super careful with AI. I don’t trust the permission it has.
157 00:20:46.490 ⇒ 00:21:02.090 Zoran Selinger: I really like to be, like, the man in the middle stuff, I like to be there a lot, right? So, for example, I’m not a big fan of giving it a huge prompt and allowing it to one-shot everything, right?
158 00:21:02.170 ⇒ 00:21:17.899 Zoran Selinger: And you guys have so much trust in it, he’ll say, I’ll get there, I’ll get there, but I’m still very uncomfortable. I’ll give you an example, like.
159 00:21:18.580 ⇒ 00:21:21.819 Zoran Selinger: I have my BigQuery CLI installed.
160 00:21:21.820 ⇒ 00:21:22.150 Brylle Girang: Yeah.
161 00:21:22.150 ⇒ 00:21:25.800 Zoran Selinger: in my… In my terminal, right?
162 00:21:25.800 ⇒ 00:21:26.780 Brylle Girang: Okay, okay.
163 00:21:26.780 ⇒ 00:21:28.280 Zoran Selinger: And it’s authenticated.
164 00:21:29.650 ⇒ 00:21:29.969 Brylle Girang: singing it.
165 00:21:29.970 ⇒ 00:21:30.940 Zoran Selinger: everything.
166 00:21:30.940 ⇒ 00:21:31.410 Brylle Girang: Okay.
167 00:21:31.410 ⇒ 00:21:33.700 Zoran Selinger: I have permissions to delete everything.
168 00:21:33.700 ⇒ 00:21:34.740 Brylle Girang: Yeah, okay.
169 00:21:34.980 ⇒ 00:21:39.070 Zoran Selinger: And now if I… now AI, by extension.
170 00:21:40.650 ⇒ 00:21:42.930 Zoran Selinger: Can do a lot with that as well.
171 00:21:44.330 ⇒ 00:21:49.219 Zoran Selinger: And Uten says it has so much stress, like, it won’t do that.
172 00:21:50.010 ⇒ 00:21:52.430 Zoran Selinger: It will… even if you say.
173 00:21:54.300 ⇒ 00:21:59.110 Zoran Selinger: It should do that, it’ll ask you 3 times, are you sure, before it does that.
174 00:21:59.110 ⇒ 00:22:00.039 Brylle Girang: Yeah, so that’s.
175 00:22:00.040 ⇒ 00:22:07.140 Zoran Selinger: That’s just, a little bit what kind of makes me a little bit uncomfortable with,
176 00:22:07.550 ⇒ 00:22:14.659 Zoran Selinger: Platform is great for that, because we don’t really have… infrastructure things…
177 00:22:15.290 ⇒ 00:22:19.640 Zoran Selinger: in… in the… in the repo itself, right? Yeah.
178 00:22:20.060 ⇒ 00:22:26.230 Zoran Selinger: It’s a little bit difficult when I have, let’s say, the where I’m managing worker.
179 00:22:26.680 ⇒ 00:22:36.329 Zoran Selinger: Yeah. Like, edge workers, right? I have Wrangler installed there, and it can use Wrangler to to run commands.
180 00:22:36.430 ⇒ 00:22:43.219 Zoran Selinger: that are going to affect Cloudflare, stuff like that, right? But in the platform.
181 00:22:43.480 ⇒ 00:22:53.130 Zoran Selinger: it’s… it’s not actually what’s happening, right? It’s not a big problem, so I can be a little bit… bit more free, there.
182 00:22:53.970 ⇒ 00:22:58.320 Zoran Selinger: Yeah, but, yeah, Utam is YOLOing everything.
183 00:22:58.320 ⇒ 00:23:11.619 Brylle Girang: Yeah, I’m just going to share something real quick, like… Sure. And I’m going to focus on, like, what you said, the platform, or whatever’s in our repo, and this is… this might… you might not use this for client stuff.
184 00:23:11.720 ⇒ 00:23:16.840 Brylle Girang: But… Have you tried, like, using this plan mode?
185 00:23:17.900 ⇒ 00:23:24.109 Zoran Selinger: Yes, yeah, I’ve used, I’ve used Agent, Plan and Ask. I’ve never used debug, though.
186 00:23:24.110 ⇒ 00:23:25.000 Brylle Girang: Okay, okay.
187 00:23:25.020 ⇒ 00:23:37.899 Zoran Selinger: Yeah, yeah, I’m using plans for, for, yeah, if I, if I have a larger ask… Yeah. Like I said, I won’t one-shot it, I will use, use, use the plan.
188 00:23:38.120 ⇒ 00:23:51.510 Brylle Girang: Okay, okay, then we’re on the same page here. I was about to mention that. If you don’t trust AI, what steps it will take to get you through your end goal, use the plan mode so that you can double-check the actual steps that it will… that it will.
189 00:23:51.510 ⇒ 00:23:55.130 Zoran Selinger: I’m using… I’m using the ask a lot as well. Yeah, yeah.
190 00:23:55.130 ⇒ 00:23:55.750 Brylle Girang: Yeah, yeah.
191 00:23:55.750 ⇒ 00:24:07.680 Zoran Selinger: I don’t want… a lot of the times, I… I just wanna… I just wanna check the logic that it has, and I’ll just do it in the ask and see…
192 00:24:09.240 ⇒ 00:24:23.379 Zoran Selinger: see what it thinks, right? And if I’m… if I’m happy with it, with what it gave me, I’m gonna switch to agent and say, okay, you can… you can do that. That’s fine. I know the plan also does that.
193 00:24:24.150 ⇒ 00:24:25.920 Brylle Girang: Okay, okay, yeah, yeah.
194 00:24:25.920 ⇒ 00:24:31.970 Zoran Selinger: I’m using Ask in that matter just for smaller pieces.
195 00:24:32.490 ⇒ 00:24:39.349 Brylle Girang: Yeah, that works, that works. And for debug, I don’t think we would need this. I mean, for errors, agent can also help out with that, or ask.
196 00:24:39.350 ⇒ 00:24:40.550 Zoran Selinger: Yeah, of course, of course.
197 00:24:41.330 ⇒ 00:24:46.710 Brylle Girang: But yeah, I think, also one thing, have you… let’s say you, you have,
198 00:24:46.980 ⇒ 00:24:57.120 Brylle Girang: an edge activation, you know, work that you need to do. Have you tried, like, searching the web for skills that you maybe can use for that specific process?
199 00:24:58.220 ⇒ 00:25:00.940 Zoran Selinger: Oh, searching web for skills.
200 00:25:00.940 ⇒ 00:25:01.710 Brylle Girang: Yeah.
201 00:25:01.890 ⇒ 00:25:05.019 Zoran Selinger: No, no, definitely not, no. I mean…
202 00:25:05.960 ⇒ 00:25:09.780 Zoran Selinger: We have so many that I… I don’t know what they are.
203 00:25:09.780 ⇒ 00:25:11.769 Brylle Girang: Yeah, okay, well, maybe…
204 00:25:11.770 ⇒ 00:25:12.639 Zoran Selinger: We’re doing more.
205 00:25:13.140 ⇒ 00:25:14.160 Zoran Selinger: Maybe…
206 00:25:14.160 ⇒ 00:25:28.709 Brylle Girang: Maybe, you know, that’s something that maybe if it crosses your mind, that’s something that you might be able to try out. So let’s say you encounter, you know, a work that you need to do, you want it to be faster, try to search for skills. Like, everyone is…
207 00:25:28.790 ⇒ 00:25:40.490 Brylle Girang: everyone’s head over heels over AI right now, and everyone’s, like, building stuff, not just Brainforge, and most of them are sharing whatever they’re building, in the internet, in GitHub.
208 00:25:40.490 ⇒ 00:25:53.889 Brylle Girang: So if you, you know, find something, maybe… I don’t know the technicals of whatever… of the work that you’re doing, but let’s say you need to create a worker for something, there might be a skill to do that, you know, in a faster, more efficiently.
209 00:25:53.890 ⇒ 00:26:11.970 Zoran Selinger: Yeah, it would probably be connected, for example, on edge to activation, something with the Wrangler is a CLI for Cloudflare workers, specifically. There’s probably some… something out there that, that can help with that, yeah, yeah.
210 00:26:12.170 ⇒ 00:26:24.489 Brylle Girang: Yeah, and skills are really helpful, because it’s a step-by-step process, so you can double-check what it will do. I think it’s going to be safer than telling it to, like, do something, and it kills half of the.
211 00:26:24.490 ⇒ 00:26:25.010 Zoran Selinger: Right, right.
212 00:26:25.010 ⇒ 00:26:25.350 Brylle Girang: Right?
213 00:26:25.350 ⇒ 00:26:33.520 Zoran Selinger: it has some kind of… some kind of framework behind it. Yeah. Yeah. The actions are… are somewhat limited.
214 00:26:34.450 ⇒ 00:26:45.310 Brylle Girang: Okay, great, great, this was a great discussion, Zaran. I think, I’m going to push, like, the DoorDash workflow as soon as possible, and you will be, like, one of my…
215 00:26:45.380 ⇒ 00:26:59.600 Brylle Girang: main audience for that. I will be checking with you maybe two weeks after to see if it’s helping, and then let’s see how we can improve, like, how do you call this? Make it easier for you to focus on client stuff, but at the same time.
216 00:26:59.600 ⇒ 00:27:00.350 Zoran Selinger: Yeah.
217 00:27:00.350 ⇒ 00:27:01.040 Brylle Girang: B…
218 00:27:01.040 ⇒ 00:27:02.430 Zoran Selinger: Yeah, it’s… yeah, it’s…
219 00:27:02.430 ⇒ 00:27:05.140 Brylle Girang: Be up to date with our job.
220 00:27:05.140 ⇒ 00:27:10.520 Zoran Selinger: I know that. I know it’s gonna help so much, just,
221 00:27:10.810 ⇒ 00:27:15.060 Zoran Selinger: Getting there, just getting over that little bump.
222 00:27:16.440 ⇒ 00:27:19.040 Zoran Selinger: I’m comfortable with what we built.
223 00:27:19.530 ⇒ 00:27:25.020 Zoran Selinger: And then… It’s gonna… it’s gonna make everything better, yeah.
224 00:27:25.170 ⇒ 00:27:31.409 Brylle Girang: Yep, alright. That’s… that’s, that’s great to hear. All right, thank you, thank you for this time, Zora, that’s, that’s everything today.
225 00:27:31.410 ⇒ 00:27:44.850 Zoran Selinger: Thank you. And yeah, I mean, sounds… your… your new role here, sounds like it’s… yeah, that’s a very interesting one. Unique as well. Unique and interesting. That’s… that is really cool.
226 00:27:44.850 ⇒ 00:27:45.330 Brylle Girang: Yeah!
227 00:27:45.880 ⇒ 00:27:54.500 Zoran Selinger: Thank you! I don’t know if that’s something that you, you, you wanted, that you had in mind for, at the beginning, but it’s a really cool one.
228 00:27:54.500 ⇒ 00:28:11.069 Brylle Girang: No, no, amazing. I think this is also up-to-date because, you know, everyone’s trying to implement AI, everyone’s trying to build stuff with AI. Nobody’s trying to teach how to do that with people, right? So, I think that’s something unique that we’re actually doing here.
229 00:28:12.530 ⇒ 00:28:13.550 Zoran Selinger: It’s cool, it’s cool.
230 00:28:13.550 ⇒ 00:28:16.299 Brylle Girang: Thank you. Thank you, Zora. Bye-bye.
231 00:28:16.300 ⇒ 00:28:17.120 Zoran Selinger: Take care, bye.