Meeting Title: E2A Content Planning and Engagement Sync Date: 2026-02-19 Meeting participants: Ryan Brosas, Luke Scorziell


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1 00:01:37.580 00:01:38.350 Ryan Brosas: Yay.

2 00:01:40.450 00:01:41.930 Luke Scorziell: Hey, how’s the car?

3 00:01:42.800 00:01:51.940 Ryan Brosas: Let me, read the… drained, because I’ve been doing that, like, for quite a a while…

4 00:01:53.530 00:01:56.389 Ryan Brosas: And focus now on the content.

5 00:01:57.300 00:01:58.070 Luke Scorziell: Nice.

6 00:01:59.410 00:02:09.629 Luke Scorziell: Yeah, well, let me know what help you need, too. I think, like, those are kind of some, you know, like, initial outlines on content that I think we should do on…

7 00:02:10.940 00:02:23.920 Luke Scorziell: those, but yeah, I mean, if you have ideas and, like, this is, like, the direction that I want to go in, but, like, I’m open to if you have, like, demos that you’d propose that we do in place of those that are related to E2A,

8 00:02:24.670 00:02:28.660 Luke Scorziell: Or case studies, or anything else, like, you know, but,

9 00:02:29.310 00:02:35.920 Luke Scorziell: Feel free to modify and adjust, but yeah, just, would like to get, like, this kind of content,

10 00:02:37.220 00:02:41.259 Luke Scorziell: Ready to go for, yeah, for the next few weeks.

11 00:02:41.930 00:02:53.980 Ryan Brosas: Yeah, definitely. Right now, I think we can definitely have a better, like, context now, because I already set up the second brain.

12 00:02:54.210 00:02:56.720 Ryan Brosas: So, basically, that, like.

13 00:02:56.960 00:03:08.609 Ryan Brosas: includes transcription as well, so whenever there’s, like, a context of E2A or edge activation, so, the AI will retrieve

14 00:03:09.760 00:03:15.300 Ryan Brosas: that… context to, within, like, any, like.

15 00:03:15.810 00:03:19.370 Ryan Brosas: Like, materials that we have, which is, like, you know, case study.

16 00:03:19.510 00:03:25.820 Ryan Brosas: meetings, and everything that we have on the board that is related to E2A.

17 00:03:26.390 00:03:33.969 Ryan Brosas: So, yeah, that’s really exciting, that I will be, like, using the system that

18 00:03:34.430 00:03:38.740 Ryan Brosas: I’ve built for quite a while, like, as soon as possible.

19 00:03:39.650 00:03:48.929 Ryan Brosas: And… yeah, I just… I’m just waiting for, like, Sam or, like, AI team to deploy it, so I can…

20 00:03:49.090 00:03:53.780 Ryan Brosas: like, may… Another video of, like, how to use it.

21 00:03:53.990 00:04:00.710 Ryan Brosas: for your LinkedIn, or… or for, using to, like,

22 00:04:00.840 00:04:10.659 Ryan Brosas: 10 times… 10 timesing our engagement, because, it will be much more easier, because, the Markdown file is kind of, like.

23 00:04:10.790 00:04:13.909 Ryan Brosas: Bloated, so it will have, like, a better

24 00:04:14.090 00:04:20.100 Ryan Brosas: Content pattern or… or… or pattern, specifically, because,

25 00:04:20.220 00:04:29.090 Ryan Brosas: comment and… and content is different, so that’s that… that I’m really, like, Looking forward to, like.

26 00:04:29.610 00:04:35.309 Ryan Brosas: And also, like, extending the second drain as well to also

27 00:04:36.130 00:04:42.359 Ryan Brosas: get a view on the HubSpot, so it will… And we can add

28 00:04:42.850 00:04:47.849 Ryan Brosas: deals also on it, but I’m not sure how, because…

29 00:04:48.160 00:04:53.959 Ryan Brosas: Sometimes a company doesn’t have, like, a rich context of

30 00:04:54.850 00:05:00.640 Ryan Brosas: rich context that we are getting with… with what I call this, Apollo enrichment.

31 00:05:00.640 00:05:01.360 Luke Scorziell: Hmm.

32 00:05:01.360 00:05:08.980 Ryan Brosas: So, that’s one that I’m, like, constantly thinking how to fix that. But yeah, I’m really excited.

33 00:05:11.720 00:05:15.900 Luke Scorziell: Yeah, nice. Well, I’m excited to use it, too, and

34 00:05:16.500 00:05:22.439 Luke Scorziell: Yeah, I guess something that I’m starting to do, too, is kind of have, like, Gemini run research.

35 00:05:22.960 00:05:28.069 Luke Scorziell: For me, to kind of see how people are talking about our services online.

36 00:05:28.300 00:05:31.679 Luke Scorziell: So I don’t know, maybe there’s ways that I can start, like.

37 00:05:34.260 00:05:39.909 Luke Scorziell: Plugging that into the vault, too, so that we can reference that stuff with our content, because that’s kind of had, like.

38 00:05:40.150 00:05:44.089 Luke Scorziell: a lot of the strategy behind the new, like, edge detectivation stuff.

39 00:05:44.450 00:05:53.360 Luke Scorziell: is just, like, based on… on research that I’d done. Definitely.

40 00:05:55.560 00:06:02.089 Luke Scorziell: Cool. Well, I have another call at 2.30, so maybe we can just hop into…

41 00:06:02.810 00:06:16.360 Luke Scorziell: engage in… engagements and such. Yeah, I did want to also just let you know, too, I’m thinking about the… the Ray stuff, and yeah, it’s, like, top of mind for me for this,

42 00:06:17.240 00:06:26.180 Luke Scorziell: Yeah, so I just don’t want you to feel like I’ve forgotten about that, or I’m not thinking about it, so I think just, yeah, probably I would… what I would like to do is,

43 00:06:26.750 00:06:29.049 Luke Scorziell: Find a way to tie,

44 00:06:30.400 00:06:35.230 Luke Scorziell: Yeah, it kind of adds some incentive structures to the team, here.

45 00:06:35.520 00:06:44.239 Ryan Brosas: Yeah, definitely. That is exciting. Also, like, I haven’t done any of the proposal, but I will do that after this, because…

46 00:06:44.460 00:06:46.850 Ryan Brosas: I got, like.

47 00:06:46.930 00:07:02.440 Ryan Brosas: like, this is the beta version, and I will push my, like, the third reiteration of the second brain on my VPS, and I will start on working on content and such, and rebranding, and all of those.

48 00:07:02.470 00:07:13.149 Ryan Brosas: So, I’ll just… and, like, well, this, this, this, system will help me, like, you know, like, 10 times my output as well, because…

49 00:07:13.530 00:07:14.900 Ryan Brosas: Definitely, it’s…

50 00:07:15.140 00:07:31.549 Ryan Brosas: easier to use, because, you know, there’s no… there’s no, like, context wrapping here, because I kind of, like, went beyond and off, like, beyond and beyond, because the whole stack is an overkill. It’s a persistent

51 00:07:31.630 00:07:35.200 Ryan Brosas: Like, memory, like, it’s, it con- like…

52 00:07:35.310 00:07:49.150 Ryan Brosas: memory, persistent context retrieval, so that’s why I really pushed this with… well, want to perfect it, but Otam wanted to be… to push this right away, so…

53 00:07:49.680 00:07:51.410 Ryan Brosas: Yeah, excited on that.

54 00:07:53.220 00:07:54.589 Luke Scorziell: Well,

55 00:07:58.110 00:08:09.000 Luke Scorziell: Yeah, well, that’s… that sounds good. So, I’m excited to see how you, yeah, what you learn, so…

56 00:08:11.570 00:08:16.380 Luke Scorziell: Yeah, well, do you want to kind of start commenting on posts?

57 00:08:17.430 00:08:22.190 Ryan Brosas: Yeah, yeah, after I do the content, but I will, like…

58 00:08:23.340 00:08:26.909 Ryan Brosas: Yeah, I will… I will do commenting after this.

59 00:08:28.890 00:08:29.500 Luke Scorziell: Okay.

60 00:08:31.480 00:08:32.809 Luke Scorziell: Sounds good.

61 00:08:34.199 00:08:35.189 Ryan Brosas: So…

62 00:08:35.190 00:08:37.760 Luke Scorziell: I might… yeah, I’ll just comment now for a little bit.

63 00:08:38.320 00:08:38.940 Ryan Brosas: Okay.

64 00:08:39.070 00:08:40.190 Ryan Brosas: That’s fine.

65 00:08:41.169 00:08:45.399 Ryan Brosas: So… Are you going to huff off, or…

66 00:08:45.400 00:08:54.179 Luke Scorziell: No, I’ll just stay on for a little bit while we do it. I guess, like, my hope is that we can both kind of use this time to comment and engage.

67 00:08:55.090 00:08:58.090 Ryan Brosas: For sure, sure. Then… Oh…

68 00:11:11.940 00:11:13.579 Ryan Brosas: Oh, wait, that’s cool.

69 00:11:19.340 00:11:20.980 Ryan Brosas: Thank you.