Meeting Title: Brainforge Team Introduction and Collaboration Date: 2026-03-04 Meeting participants: Brylle Girang, Pranav Narahari
WEBVTT
1 00:04:43.410 ⇒ 00:04:44.500 Brylle Girang: Hey, man!
2 00:04:45.160 ⇒ 00:04:46.760 Pranav Narahari: Hey, Ryle, how’s it going?
3 00:04:47.180 ⇒ 00:04:50.629 Brylle Girang: Doing great! It doesn’t feel like Thursday.
4 00:04:52.070 ⇒ 00:04:55.519 Pranav Narahari: Yeah, yeah. Oh, so you’re based out of where?
5 00:04:55.960 ⇒ 00:04:58.029 Brylle Girang: I’m based in the Philippines.
6 00:04:58.130 ⇒ 00:05:01.210 Pranav Narahari: Okay, so it’s, like, early hours Thursday for you.
7 00:05:01.210 ⇒ 00:05:03.859 Brylle Girang: Yes, it is. It is 1AM here. How about you?
8 00:05:04.730 ⇒ 00:05:08.919 Pranav Narahari: I’m in, Massachusetts, like, east coast of, the U.S.
9 00:05:09.320 ⇒ 00:05:13.969 Brylle Girang: Oh, so it’s Eastern Time, or Central?
10 00:05:14.180 ⇒ 00:05:15.120 Pranav Narahari: Eastern. Yep.
11 00:05:15.120 ⇒ 00:05:26.679 Brylle Girang: Eastern, okay, gotcha. So, thank you for taking the time here, Panam. So, I just wanted to, you know, get to know you. We have been seeing each other in meetings, and we don’t… we didn’t have the chance to…
12 00:05:26.680 ⇒ 00:05:35.359 Brylle Girang: actually connect and communicate, so I’m just going to take this opportunity to, you know, know you more, understand where I can help, and just…
13 00:05:35.420 ⇒ 00:05:40.510 Brylle Girang: give… shed light on what I want to do here in Prey Forge. Does that sound good?
14 00:05:40.960 ⇒ 00:05:42.390 Pranav Narahari: That’s amazing, yeah.
15 00:05:42.670 ⇒ 00:05:49.499 Brylle Girang: Yeah, so I wanted to start with, what’s your current focus right now in Brainforge? What are you working on?
16 00:05:50.010 ⇒ 00:05:57.409 Pranav Narahari: Yeah, so I’m part of, like, the delivery team, for the most part, and then I also do some stuff on the sales team with Luke.
17 00:05:57.640 ⇒ 00:06:15.109 Pranav Narahari: So, those are my main two focuses, specifically, like, on the delivery team. Right now, it’s, Lilo. Oh, sorry, not Lilo. Now, right now, it’s, ABC Andy. That’s new as of this week. So last week, we were still working with Lilo. Starting this week, we’re not.
18 00:06:15.200 ⇒ 00:06:22.429 Pranav Narahari: And so, I’m sure you’re probably aware of, like, you’ve already built tools for the EPs, so you’re aware of, like, the CSO EPs…
19 00:06:22.430 ⇒ 00:06:22.820 Brylle Girang: Yep.
20 00:06:22.820 ⇒ 00:06:31.509 Pranav Narahari: and then SL, kind of, different, like, groupings. And so, yeah, I’ve focused mostly as CSO on the… on the clients.
21 00:06:31.790 ⇒ 00:06:36.149 Brylle Girang: Okay, so you’re tagged as an AI engineer internally? Yeah.
22 00:06:36.400 ⇒ 00:06:37.550 Brylle Girang: How does that work?
23 00:06:38.320 ⇒ 00:06:51.520 Pranav Narahari: Yeah, so on top of being, like, a CSO, like, I’m also, like, pushing code as well. So that’s my background, like, did my undergrad in, like, software engineering, and so…
24 00:06:51.520 ⇒ 00:07:06.060 Pranav Narahari: I came into Brainforge thinking, yeah, I’m just gonna be an AI engineer, and then as things kind of progressed, like, I felt more comfortable, like, in front of clients, and I was doing, like, a good job at it too, so I’ve kind of just, like, grew into this role. And so…
25 00:07:06.420 ⇒ 00:07:11.759 Pranav Narahari: the CSO title itself really isn’t, like, a full-time thing, unless you’re probably, like, on…
26 00:07:11.940 ⇒ 00:07:24.049 Pranav Narahari: quite a few clients, right? So, since I’m CSO for, just one client, as of right now, all the rest of my time is spent on development,
27 00:07:24.070 ⇒ 00:07:32.599 Pranav Narahari: And then I mentioned how, like, with Luke, I’m also taking part in, like, creating demos and, being part of those type of calls as well, so… yeah.
28 00:07:32.830 ⇒ 00:07:40.250 Brylle Girang: Okay, wow, amazing. Okay, can you talk me through about, like, your work experience? How did you end up in Brainforge?
29 00:07:40.560 ⇒ 00:07:49.089 Pranav Narahari: Yeah, yeah, yeah. So, like I said, I was, started at… did my undergrad in computer science,
30 00:07:49.200 ⇒ 00:07:51.760 Pranav Narahari: And then graduated in 2021.
31 00:07:51.900 ⇒ 00:07:57.389 Pranav Narahari: And then, for the first 3 years of my career, I was working at a bank, and…
32 00:07:57.930 ⇒ 00:08:12.130 Pranav Narahari: was part of, like, their cloud engineering effort. Basically, they were just trying to… they were kind of late to, like, the… like, to the ballgame in terms of, like, moving things from, like, on-premises servers into the cloud.
33 00:08:12.170 ⇒ 00:08:30.410 Pranav Narahari: And so, wasn’t super innovative, but it was a good, just kind of work experience. And then, after that, I started getting more tapped into, like, AI engineering. And so, started doing a little bit of freelancing, and then was working at a different agency before Brainforge, and then,
34 00:08:30.630 ⇒ 00:08:34.029 Pranav Narahari: Yeah, starting in December, I was working at Brainforge.
35 00:08:35.190 ⇒ 00:08:38.540 Brylle Girang: What do you mean by, like, AI engineering? What…
36 00:08:38.760 ⇒ 00:08:41.799 Brylle Girang: Can you, like, give me more light into that?
37 00:08:42.210 ⇒ 00:08:49.459 Pranav Narahari: Totally, yeah, so how I… this is how I describe AI engineering for at least what I do, is, okay.
38 00:08:49.710 ⇒ 00:09:09.490 Pranav Narahari: the first question people usually ask is, like, okay, are you developing models, like, on a day-to-day? Are you doing a ton of research on, like, how can we create, like, the next ChatGPT? And I say, no, that’s not what I do. How I kind of explain, like, the model of these agencies, and then also, like, the type of deliverables that I provide, is…
39 00:09:09.690 ⇒ 00:09:24.089 Pranav Narahari: A lot of people nowadays, they use ChatGPT, right? Like, I think everybody that comes to us, they’ve at least had some exposure and at least used ChatGPT, whether it’s just, like, pasting documents or asking prompts, and then within the chat interface.
40 00:09:24.180 ⇒ 00:09:38.560 Pranav Narahari: What I feel like I do is I enhance that integration of, like, what they’re trying to do, and then how can LLMs provide that. So, it’s like the last mile integration of these LLMs.
41 00:09:38.680 ⇒ 00:09:47.679 Pranav Narahari: into softwares. So… Basically, I would say I’m a software engineer that just understands the…
42 00:09:49.040 ⇒ 00:09:55.340 Pranav Narahari: the pros and the cons of LLMs, and how they can fit, and in some cases, not fit, for what you’re trying to solve.
43 00:09:56.930 ⇒ 00:10:05.880 Brylle Girang: So, it’s like the misconception around your role in AI engineering is that you create AI or models, but it’s actually more of implementation.
44 00:10:06.010 ⇒ 00:10:15.640 Brylle Girang: Exactly. How can you streamline the implementation? Okay, that’s amazing, that’s cool. So, I’m also going to, like, give a bit of background for myself.
45 00:10:15.640 ⇒ 00:10:16.930 Pranav Narahari: Yeah, I’d appreciate that, yeah.
46 00:10:17.450 ⇒ 00:10:29.150 Brylle Girang: This is actually my second official job, because my… I was a working student when I was in college. I studied… I studied electronics engineering, which has, you know, a bit…
47 00:10:29.370 ⇒ 00:10:36.409 Brylle Girang: little coding, but it’s mostly just things that I didn’t really care when I was studying, so…
48 00:10:36.410 ⇒ 00:10:37.200 Pranav Narahari: Yeah.
49 00:10:37.200 ⇒ 00:10:46.140 Brylle Girang: I’m fairly new to the things that you guys are doing here, which is really amazing. The data engineering part, the software development part.
50 00:10:46.240 ⇒ 00:10:55.780 Brylle Girang: But I think what I bring to the table is really my project management and coordination skills, especially since I was sort of a…
51 00:10:56.500 ⇒ 00:11:00.090 Brylle Girang: A help desk leader during my previous job.
52 00:11:00.760 ⇒ 00:11:13.520 Brylle Girang: Right now, my main goal here in Brainforge is to, like, bridge the gap between most of the people who’s not maximizing the use of AI.
53 00:11:14.150 ⇒ 00:11:16.679 Brylle Girang: And the company, the business, right?
54 00:11:17.060 ⇒ 00:11:31.290 Brylle Girang: If you have seen my cursor usage report yesterday, we are at, like, 25%, which means that only 25% are, like, maximizing cursor, and actually using AI in their day-to-days.
55 00:11:31.390 ⇒ 00:11:47.399 Brylle Girang: So, my short-term goal is to make sure that we increase the adoption rate, so that everyone at least uses Cursor on a daily basis, and not just, you know, use ChatGPT, use other agents that really doesn’t connect to our infrastructure.
56 00:11:48.490 ⇒ 00:12:06.219 Pranav Narahari: Gotcha. Yeah, that’s one thing that I’ve been thinking about, too, and these tools are changing all the time, right? And so it’s… it’s hard to, like… and I have my workflows for how I build things, and for most of 2025, and up until now, too.
57 00:12:06.220 ⇒ 00:12:18.760 Pranav Narahari: like, I use Claude Code to ship my things, because I just feel like I have such a good workflow there. However, I’m realizing that Cursor can probably do a lot of the same things,
58 00:12:18.900 ⇒ 00:12:23.139 Pranav Narahari: And, like you said, it’s more integrated to, like, everything else that we’re doing, and…
59 00:12:23.930 ⇒ 00:12:33.679 Pranav Narahari: now with, the Cursor Cloud as well, like, even more reason, I think that’s gonna be the reason why I completely switched, to be honest.
60 00:12:34.040 ⇒ 00:12:41.220 Pranav Narahari: And, yeah, if it’s, like, important to Brainforge, too, like, I can definitely, like, work with Cursor and just, like.
61 00:12:41.430 ⇒ 00:12:48.669 Pranav Narahari: push… push that along further, in my own workflow. So, yeah, that sounds great.
62 00:12:49.120 ⇒ 00:12:59.729 Brylle Girang: Yeah, and with your experience and with your current knowledge, what do you think should we, like, tackle immediately within the business when it comes to implementing AI?
63 00:13:01.380 ⇒ 00:13:02.620 Pranav Narahari: Like, internally?
64 00:13:02.980 ⇒ 00:13:03.980 Brylle Girang: Yeah, internally.
65 00:13:04.430 ⇒ 00:13:12.860 Pranav Narahari: Yeah, I think what you’re doing right now, what you just demoed yesterday about, like, creating that EP tool, creating tools for, like.
66 00:13:13.080 ⇒ 00:13:20.060 Pranav Narahari: to just minimize the workload needed as a CSO, an EP, and an SL, I think that’s gonna be…
67 00:13:20.520 ⇒ 00:13:23.470 Pranav Narahari: the biggest value add for us.
68 00:13:24.230 ⇒ 00:13:31.039 Pranav Narahari: I think the concept of it is great, right? Not having a project manager, because
69 00:13:31.160 ⇒ 00:13:35.689 Pranav Narahari: It’s one less person that you need as part of the team.
70 00:13:35.800 ⇒ 00:13:41.770 Pranav Narahari: And… which I think is good in this case, because, like, okay, everybody,
71 00:13:42.240 ⇒ 00:13:50.010 Pranav Narahari: you can just get a bigger piece of the pie is one thing, right? Another thing, too, is, we’re all technical leaders.
72 00:13:50.320 ⇒ 00:13:59.449 Pranav Narahari: the people that are working on the delivery team, so it’s… the communication seems more straightforward, not kind of working through, like, some medium.
73 00:13:59.690 ⇒ 00:14:01.800 Pranav Narahari: However, what that means is, like.
74 00:14:02.110 ⇒ 00:14:20.249 Pranav Narahari: we’re splitting up the tasks of what a project manager would do most of the times. So… that’s fine, you know, like, that’s sometimes a good change of pace, but what I’ve noticed with last week with Lilo, my CSO duties were basically my full-time… my full-time role. Like, it was… and…
75 00:14:20.440 ⇒ 00:14:27.760 Pranav Narahari: it would have been great to just have, like, a tool that just did all of this stuff for me, and I think it would have been super doable.
76 00:14:28.190 ⇒ 00:14:43.279 Pranav Narahari: I’d love to… we can probably have another working session about, like, how… like, all the different resources we had to build, why it was necessary, and how that could be useful for other clients, to just, like, okay, at a whim, they may ask… ask you, like, okay.
77 00:14:43.690 ⇒ 00:14:46.690 Pranav Narahari: How are we doing on,
78 00:14:47.280 ⇒ 00:14:52.220 Pranav Narahari: I think a great example is, I kind of mentioned it in yesterday’s meeting, is…
79 00:14:52.820 ⇒ 00:14:56.879 Pranav Narahari: The client might ask for an out-of-scope feature.
80 00:14:56.880 ⇒ 00:14:57.440 Brylle Girang: Yeah.
81 00:14:57.440 ⇒ 00:15:04.730 Pranav Narahari: But how exactly do you know if it’s out of scope if you don’t know the SOW, like, the back of your hand? So, being able to, like.
82 00:15:04.970 ⇒ 00:15:09.999 Pranav Narahari: have, like, a super quick turnaround to let them know, like, can we build this, can we not build this?
83 00:15:10.430 ⇒ 00:15:12.919 Pranav Narahari: If we build it, what would be…
84 00:15:14.270 ⇒ 00:15:17.259 Pranav Narahari: Like, and we’re saying it’s out of scope, like…
85 00:15:17.800 ⇒ 00:15:21.350 Pranav Narahari: Why is it out of scope? Like, that justification?
86 00:15:21.900 ⇒ 00:15:26.420 Pranav Narahari: That’s, like, one aspect of things. Another aspect of things is just, like.
87 00:15:27.610 ⇒ 00:15:35.560 Pranav Narahari: You may not want to ask for additional work, because, like, currently the resources
88 00:15:35.780 ⇒ 00:15:49.890 Pranav Narahari: are being already spread really thin on your team. Like, let’s say, like, I’m working with two other engineers, we’re all being, like, super spread thin, maybe we’re even overworking, we’re contributing too many hours to a certain client that we, like, foresaw, and so…
89 00:15:50.210 ⇒ 00:15:55.659 Pranav Narahari: Having, like, an overall, just, like, client health tracker,
90 00:15:56.110 ⇒ 00:16:00.150 Pranav Narahari: would be great. So, like, how I can… how I envision it is, like.
91 00:16:00.910 ⇒ 00:16:07.709 Pranav Narahari: Okay, so for… let’s just look… maybe it can be, like, on a weekly basis, or we can trigger it at, like.
92 00:16:08.000 ⇒ 00:16:11.120 Pranav Narahari: At a whim, whenever. But, essentially.
93 00:16:11.720 ⇒ 00:16:19.879 Pranav Narahari: For, like, let’s use an example, like, we can look at my timesheet data, whoever else on my team’s timesheet data for last week, and then.
94 00:16:19.880 ⇒ 00:16:20.200 Brylle Girang: Yeah.
95 00:16:20.200 ⇒ 00:16:31.450 Pranav Narahari: we can see what that total is, and then we can compare it to, like, what was our forecasted amount of hours we wanted to spend. And then, for even deeper context, maybe we did
96 00:16:31.520 ⇒ 00:16:46.660 Pranav Narahari: maybe we just front-loaded our hours, and we actually delivered way past what we wanted to deliver to, which is totally fine. That shouldn’t affect the client health, right? If anything, it should only be, like, the client is going to be happier about that if we just, you know, same budget, finish things faster.
97 00:16:46.810 ⇒ 00:16:52.859 Pranav Narahari: However, say if we’re going over budget, we’re contributing just as much, or we’re…
98 00:16:53.100 ⇒ 00:16:56.610 Pranav Narahari: under-delivering in terms of the hours.
99 00:16:56.720 ⇒ 00:17:07.089 Pranav Narahari: That should be something we are aware of, just so we can let them know ahead of time, like, okay, you know, these features are actually taking longer than we initially scoped,
100 00:17:07.540 ⇒ 00:17:16.720 Pranav Narahari: And then, you know, that gives us… that gives the CSO more context moving forward, also the EPs more context about, like, okay, let’s extend the timeline a little bit.
101 00:17:17.170 ⇒ 00:17:21.540 Pranav Narahari: And you don’t want to do that at the end of a project, you want to do that as soon as you find out.
102 00:17:22.040 ⇒ 00:17:24.640 Brylle Girang: Okay, that’s super helpful.
103 00:17:24.960 ⇒ 00:17:30.400 Brylle Girang: Yeah, so I think I’m going to break this down into two main asks. The first one is…
104 00:17:30.660 ⇒ 00:17:37.420 Brylle Girang: just getting a way to easily access the SOW and compare the ad hoc ads from the client.
105 00:17:37.580 ⇒ 00:17:39.319 Brylle Girang: And then the second one is…
106 00:17:39.430 ⇒ 00:17:44.580 Brylle Girang: Yeah, how can we ensure that We’re still within our allocations.
107 00:17:45.000 ⇒ 00:17:50.159 Brylle Girang: Yeah. Gotcha. That makes sense. And I think we’re on the same page here.
108 00:17:50.920 ⇒ 00:18:02.839 Brylle Girang: For the first one, we’re already working on really ensuring that the SOWs are within the vault, so you can use cursor immediately if you have some questions. And then for the second one.
109 00:18:03.620 ⇒ 00:18:10.920 Brylle Girang: I’m trying to create a plan in just migrating to Asana instead of linear. Have you had… have you had experience with Asana?
110 00:18:11.760 ⇒ 00:18:15.500 Pranav Narahari: Yes, I have used Asana before, I think, yeah.
111 00:18:15.900 ⇒ 00:18:24.110 Brylle Girang: Yeah, so what do you think? Would that be, like, a better option for us? Instead of, you know, linear, instant, and then maybe operating?
112 00:18:24.610 ⇒ 00:18:29.910 Pranav Narahari: Right, yeah, the benefit of Asana is that it has all of these in one, right? Yeah, yeah.
113 00:18:30.030 ⇒ 00:18:40.039 Pranav Narahari: Yeah, I mean, I love that, yeah, because Instagant is a little bit, you know, janky, in my experience so far.
114 00:18:41.270 ⇒ 00:18:53.099 Pranav Narahari: Yeah, I mean, that’s great. As long… I think the main thing that Linear has is, and maybe Osana has this as well, is that the connection with Cursor and Slack is, like, very good, and so…
115 00:18:54.010 ⇒ 00:18:55.350 Pranav Narahari: I…
116 00:18:56.920 ⇒ 00:19:04.110 Pranav Narahari: I’m trying to get better at that, too, by using the connection within Slack, and I use a pretty good amount in Cursor.
117 00:19:04.390 ⇒ 00:19:08.380 Pranav Narahari: So as long as Asana could do that as well, I think, you know…
118 00:19:08.670 ⇒ 00:19:10.559 Pranav Narahari: That seems like an easy switch for me.
119 00:19:10.880 ⇒ 00:19:15.680 Brylle Girang: Yeah, okay, makes sense. Basically, my main goal here is to, like, reduce
120 00:19:15.700 ⇒ 00:19:24.489 Brylle Girang: the friction points, and to ensuring that, you know, our CSOs, our EPs can just go to one platform, and then they’ll see everything there.
121 00:19:24.490 ⇒ 00:19:38.390 Brylle Girang: Because I think that’s… that’s the main challenge that we have right now. When you mention client tracker, I don’t even know what that is, or where that… where that is. It might be, you know, in an internal Slack channel in Notion, which is…
122 00:19:38.460 ⇒ 00:19:46.790 Brylle Girang: Pretty sure not everyone is using right now. So, we’re just trying to reduce the number of tools, streamline the processes, and then
123 00:19:47.420 ⇒ 00:19:51.319 Brylle Girang: Make sure that we have one flow for project management.
124 00:19:51.590 ⇒ 00:19:54.140 Brylle Girang: Yeah, that’s super helpful.
125 00:19:54.490 ⇒ 00:19:57.950 Brylle Girang: I think that was pretty…
126 00:19:58.450 ⇒ 00:20:01.119 Brylle Girang: hefty, which is what I love.
127 00:20:01.590 ⇒ 00:20:06.899 Pranav Narahari: Cool. Yeah, no, I appreciate that. I’m getting that sense from you, so we’ll have a lot of good conversations.
128 00:20:06.900 ⇒ 00:20:26.369 Brylle Girang: We will be talking soon, too, especially when it comes to, like, AI engineering. Since you mentioned that, you know, this is your forte, I will be reaching out to you more frequently and more often, into just making sure that we implement things that are actually scalable and not just band-aid solutions, right?
129 00:20:26.810 ⇒ 00:20:36.130 Pranav Narahari: Yeah, I mean, with that, EP tool, it seems like a lot of people are enjoying it, just based on, like, what was demoed yesterday, so… I think that was a… that was a great win. That was a good job there.
130 00:20:36.660 ⇒ 00:20:50.400 Brylle Girang: Thank you. And, I think one of the main things that, you know, the team, the business really needs is, like, someone to translate the amazing things that we’re doing into easily understandable, bite-sized
131 00:20:50.730 ⇒ 00:21:00.010 Brylle Girang: for the teams, right? I mentioned this to Utam, like, we’re shipping updates, we’re shipping PRs every day, which are really amazing.
132 00:21:00.120 ⇒ 00:21:07.030 Brylle Girang: But we don’t have a way to, like, share it with the team. Unless they go to GitHub, they check the PRs.
133 00:21:07.550 ⇒ 00:21:13.790 Pranav Narahari: Right. Yeah, that’s one thing, too, that I want to mention, like, with, Brainforge Assistant.
134 00:21:15.120 ⇒ 00:21:26.250 Pranav Narahari: I feel like it does way more than I’m even, like, utilizing it for, as well as the platform. Like, I want to be able to be, like, a power user of these things, and maybe it’s on me to just, like.
135 00:21:26.380 ⇒ 00:21:31.750 Pranav Narahari: you know, carve out some time to just, like, fully just, like, poke around.
136 00:21:32.050 ⇒ 00:21:34.419 Pranav Narahari: But… yeah, just like…
137 00:21:34.980 ⇒ 00:21:43.509 Pranav Narahari: just, like, seeing… I think for me, if I’m just, like, seeing looms of just, like, how people are using it, that would be super dope for me. Yeah.
138 00:21:44.030 ⇒ 00:21:44.910 Pranav Narahari: Yeah.
139 00:21:45.440 ⇒ 00:22:00.679 Brylle Girang: That’s good, that’s good, we’re on the same page there. We will be developing, like, weekly digests for the team, where we go through all the amazing updates that happened within the week, and then just make sure that everyone knows it, and it’s not just sitting in a merge PR.
140 00:22:01.160 ⇒ 00:22:01.990 Pranav Narahari: Yeah.
141 00:22:01.990 ⇒ 00:22:02.350 Brylle Girang: Okay.
142 00:22:02.350 ⇒ 00:22:11.489 Pranav Narahari: Yeah, I think that’s… that’s super… that’s a good catch. I’m glad you mentioned that, because that’s something that I’ve been feeling. But it’s easy to, like, you know, that’s…
143 00:22:11.860 ⇒ 00:22:18.600 Pranav Narahari: To not train on that, because it’s like, okay, we have our delivery work that we need to focus on, but these…
144 00:22:18.790 ⇒ 00:22:38.669 Pranav Narahari: things will compound over time, and then we’ll realize, okay, we’re not doing things in the most efficient way. And I think… I don’t want to get too far down that path where I’m, like, realizing I’m not doing things in the most efficient way, and then having to, like, learn everything at once. Okay, how can I utilize the Brainforge system? How can I utilize, like, the cursor agents?
145 00:22:38.900 ⇒ 00:22:40.470 Pranav Narahari: So things of that nature, yeah.
146 00:22:41.760 ⇒ 00:22:42.810 Brylle Girang: Amazing.
147 00:22:42.970 ⇒ 00:22:49.109 Brylle Girang: Yeah, I have everything that I need, Panav. I really appreciate this. Do you have any questions for me?
148 00:22:49.930 ⇒ 00:22:56.149 Pranav Narahari: No, not for right now, but yeah, if anything comes up, I’ll be sure to, like, Slack you.
149 00:22:56.820 ⇒ 00:22:57.920 Brylle Girang: Perfect. Yeah, me too.
150 00:22:57.920 ⇒ 00:22:58.370 Pranav Narahari: Me too.
151 00:22:59.390 ⇒ 00:23:07.259 Pranav Narahari: Any specific questions you would say, like, you know, if I have any questions about, like, features to implement on the platform, is that something I should…
152 00:23:07.630 ⇒ 00:23:11.400 Pranav Narahari: come to you about? Or maybe, like.
153 00:23:11.990 ⇒ 00:23:28.619 Pranav Narahari: like, maybe certain skills and cursor to, like, implement. I feel like that’s something I should probably come to you about. Anything else that you feel like you’re working on, or you want to start working on, or getting insights from, like, somebody like me from? And, like, just so I know, like, okay, I can reach out to you about this.
154 00:23:28.880 ⇒ 00:23:32.939 Brylle Girang: Yeah, I would say, right now, if anything…
155 00:23:33.200 ⇒ 00:23:42.650 Brylle Girang: is a pain point. Like, if you feel like something is too… too huge of a task, that’s going to be one of the things that I want to be involved in. Like, hey.
156 00:23:42.650 ⇒ 00:23:42.969 Pranav Narahari: Oh, God.
157 00:23:42.970 ⇒ 00:23:52.700 Brylle Girang: I need to… I need to update the deck for this client, etc. This is getting frustrating. This is a lot of work for now. Those are the things that I want to hear.
158 00:23:53.460 ⇒ 00:24:02.530 Pranav Narahari: Okay, cool. So, like, any type of process that I’m doing is fair game to just, like, let you know and be like, hey, this could be improved, or hey, I’ve thought of this, and reach out to you. Okay, perfect.
159 00:24:02.530 ⇒ 00:24:09.680 Brylle Girang: Definitely, so I’m just going to, like, absorb everything, and then just line it up, and then we can ship… we can keep shipping updates for that.
160 00:24:10.220 ⇒ 00:24:11.139 Pranav Narahari: Cool, love it.
161 00:24:11.140 ⇒ 00:24:14.189 Brylle Girang: Yeah. I know that, you know, you guys…
162 00:24:14.390 ⇒ 00:24:30.709 Brylle Girang: have the capability to, like, process these updates, but I’m pretty sure that with the clients that you’re handling, you pretty much don’t have the time to focus on improving this stuff, and then you’re just focused on getting through with the clients, so I’m more than happy to help.
163 00:24:31.350 ⇒ 00:24:43.370 Pranav Narahari: Awesome, yeah, no, I really appreciate that. And, like, I think that will be super paramount for us moving forward, because, you know, right now, I… technically, I mean, as of last week, I was working on two clients, right? So it’s like…
164 00:24:43.370 ⇒ 00:24:51.710 Pranav Narahari: that’s not a ton, but with more of these tools that you build, like, I can probably just, like, spread across more and more clients, and, like.
165 00:24:51.720 ⇒ 00:24:52.560 Pranav Narahari: That’s…
166 00:24:52.690 ⇒ 00:25:04.209 Pranav Narahari: that’s great for the company, right? So, yeah, so it’s cool how all these things tie together, and yeah, it’ll be… I’m always excited just to see, like, okay, what is 6 months at Brainforge gonna look like, you know?
167 00:25:04.950 ⇒ 00:25:11.640 Brylle Girang: Yes, exactly, exactly. Thank you so much, Pranam. I really appreciate this. Let’s meet again next time.
168 00:25:12.280 ⇒ 00:25:14.019 Pranav Narahari: Totally, totally, yeah. Talk soon.
169 00:25:14.020 ⇒ 00:25:14.690 Brylle Girang: Bye-bye.
170 00:25:15.030 ⇒ 00:25:15.640 Pranav Narahari: there.