2026-03-11_dany_demo_clarence_-_pranav_2e4c9b21

Meeting Title: DANY Demo: Clarence - Pranav Date: 2026-03-11 Meeting participants: Pranav Narahari, Clarence Stone

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1 00:02:00.080 ⇒ 00:02:01.340 Clarence Stone: What up, homie?

2 00:02:02.560 ⇒ 00:02:04.040 Pranav Narahari: What’s up, what’s up?

3 00:02:04.040 ⇒ 00:02:08.800 Clarence Stone: Why were you chasing those call notes? Did you want to, like, get specifics or something?

4 00:02:09.650 ⇒ 00:02:13.129 Pranav Narahari: Yeah, cause I don’t really know anything about this client.

5 00:02:14.060 ⇒ 00:02:16.390 Pranav Narahari: I don’t know if you and Robert have already talked.

6 00:02:16.640 ⇒ 00:02:22.339 Clarence Stone: No, we haven’t. But Robert’s on vacation, so I don’t expect him to answer.

7 00:02:22.340 ⇒ 00:02:23.250 Pranav Narahari: Yeah.

8 00:02:23.500 ⇒ 00:02:24.320 Clarence Stone: But…

9 00:02:26.260 ⇒ 00:02:35.239 Clarence Stone: All this time in consulting, my life is living in uncertainty and being able to take action towards meaningful steps, so I’m not even bothered.

10 00:02:35.890 ⇒ 00:02:41.990 Clarence Stone: Oh, I mean, I’m happy to talk you through that mental framework, and then… talk about…

11 00:02:42.230 ⇒ 00:02:49.389 Clarence Stone: Like, how we should deal with sales now that we’re kind of hitting frontier operations as a service.

12 00:02:50.240 ⇒ 00:02:55.300 Pranav Narahari: Yeah, I’m glad to talk about that. I’m just doing one last check with just, like.

13 00:02:56.010 ⇒ 00:02:59.099 Pranav Narahari: Because I’m guessing it’s probably in the platform.

14 00:02:59.100 ⇒ 00:03:03.169 Clarence Stone: By the way, are you in Austin? Who the fuck does your haircuts? That looks great. And I’m just…

15 00:03:03.170 ⇒ 00:03:04.679 Pranav Narahari: Hey, I appreciate it.

16 00:03:05.310 ⇒ 00:03:08.199 Pranav Narahari: I know, I’m in Worcester right now, actually, in Massachusetts.

17 00:03:08.200 ⇒ 00:03:09.510 Clarence Stone: Oh, what?

18 00:03:09.510 ⇒ 00:03:13.079 Pranav Narahari: Yeah, so, yeah, maybe we haven’t talked since then, so…

19 00:03:13.080 ⇒ 00:03:14.989 Clarence Stone: Moved around so much.

20 00:03:14.990 ⇒ 00:03:23.240 Pranav Narahari: Yeah, so I think when we first talked, I was in Massachusetts, right? Yeah. And then I did that whole road trip down, and then that was only for, like, 2 months.

21 00:03:23.450 ⇒ 00:03:24.060 Clarence Stone: Oh.

22 00:03:24.060 ⇒ 00:03:25.660 Pranav Narahari: Back here. Yeah, yeah.

23 00:03:25.660 ⇒ 00:03:26.070 Clarence Stone: Gotcha.

24 00:03:26.070 ⇒ 00:03:26.450 Pranav Narahari: Right.

25 00:03:26.450 ⇒ 00:03:30.309 Clarence Stone: to Austin, to begin with, like, for the road trip?

26 00:03:30.500 ⇒ 00:03:38.000 Pranav Narahari: So, I used to live there, so I have a lot of friends there, my girlfriend lives there, so it’s just like…

27 00:03:38.230 ⇒ 00:03:53.060 Pranav Narahari: And since I just live at home right now, so, like, I live with my mom and my sister, so it’s just like, okay, let me, let me ball out a little bit, get an Airbnb for 2 months. But, I’m actually gonna move back to Austin in June.

28 00:03:53.250 ⇒ 00:03:54.300 Clarence Stone: I’m sick!

29 00:03:54.300 ⇒ 00:03:54.920 Pranav Narahari: Yeah.

30 00:03:54.920 ⇒ 00:04:04.040 Clarence Stone: Sick! Yeah, I mean, it’s a great time to even consider, like, renting in Austin, because, like, I don’t know if you saw the charts, like.

31 00:04:04.290 ⇒ 00:04:08.059 Clarence Stone: Austin’s one of the few cities where renting is cheaper than buying.

32 00:04:08.640 ⇒ 00:04:09.580 Pranav Narahari: Really? Okay.

33 00:04:10.100 ⇒ 00:04:12.150 Clarence Stone: Like, if you look at, like, like.

34 00:04:12.510 ⇒ 00:04:18.200 Clarence Stone: Property values and how much it costs to buy something relative to rent.

35 00:04:19.079 ⇒ 00:04:22.159 Clarence Stone: It’s like, you’re actually saving money by renting.

36 00:04:23.310 ⇒ 00:04:24.000 Pranav Narahari: Damn.

37 00:04:24.000 ⇒ 00:04:25.989 Clarence Stone: Which, like, never at a time.

38 00:04:25.990 ⇒ 00:04:27.549 Pranav Narahari: Renter. Yeah.

39 00:04:28.280 ⇒ 00:04:38.350 Clarence Stone: Yeah, and I, like, I’ve always been a little jealous, like, I was like, maybe I should just, like, rent an apartment up there, because, like, I’m so sick of, like, driving all the time.

40 00:04:38.630 ⇒ 00:04:39.310 Pranav Narahari: Yeah.

41 00:04:39.640 ⇒ 00:04:43.220 Clarence Stone: And it was like… either get the Tesla.

42 00:04:43.530 ⇒ 00:04:48.490 Clarence Stone: or, you know, figure something out where I’m more permanently in Austin, so…

43 00:04:48.490 ⇒ 00:04:51.290 Pranav Narahari: Well, we haven’t talked about that. You have a Tesla too, right?

44 00:04:51.290 ⇒ 00:04:52.080 Clarence Stone: Yeah.

45 00:04:52.080 ⇒ 00:04:53.070 Pranav Narahari: Yeah.

46 00:04:53.400 ⇒ 00:04:56.079 Pranav Narahari: I have the 2026 Model Y.

47 00:04:56.510 ⇒ 00:04:58.490 Pranav Narahari: Oh, nice! Yeah.

48 00:04:58.490 ⇒ 00:05:01.810 Clarence Stone: which, which, version.

49 00:05:01.810 ⇒ 00:05:05.900 Pranav Narahari: So I got the dual motor.

50 00:05:05.900 ⇒ 00:05:10.070 Clarence Stone: Oh, it’s get the all-wheel drive for your Worcester winners.

51 00:05:10.070 ⇒ 00:05:11.540 Pranav Narahari: Exactly, exactly.

52 00:05:11.680 ⇒ 00:05:21.520 Pranav Narahari: But, oh my, the self-driving is insane. Like, this whole trip, like, for the round, like, the road trip, I think, was, like, 40 hours total of driving.

53 00:05:21.830 ⇒ 00:05:26.389 Pranav Narahari: Like, 99.5% self-driving. Insane.

54 00:05:26.700 ⇒ 00:05:35.709 Clarence Stone: It’s fantastic. But, like, I took my first long road trip to Dallas, and I don’t know if you noticed this, but, like.

55 00:05:35.900 ⇒ 00:05:48.979 Clarence Stone: you know, like, my car says, like, I have, like, 260 miles of range. Dude, I don’t get all of that. Like, I think I ended up actually driving, like, 155, 160 until, like.

56 00:05:49.140 ⇒ 00:05:51.090 Clarence Stone: It started hitting 20%.

57 00:05:51.980 ⇒ 00:06:00.230 Pranav Narahari: Yeah, so, I noticed two things, and I do think I… I have the same… same, thing that you’re talking about.

58 00:06:01.820 ⇒ 00:06:06.290 Pranav Narahari: So… Do you supercharge a lot, or do you charge at home?

59 00:06:06.590 ⇒ 00:06:10.030 Pranav Narahari: I normally charge at home, but, like.

60 00:06:10.030 ⇒ 00:06:12.210 Clarence Stone: For the Dallas trip, I supercharged.

61 00:06:12.520 ⇒ 00:06:20.550 Pranav Narahari: Yeah, so what I was noticing is, like, when I’m supercharging, I feel like the battery goes away quicker. I don’t know the science behind it.

62 00:06:20.550 ⇒ 00:06:21.779 Clarence Stone: That makes sense.

63 00:06:21.780 ⇒ 00:06:22.660 Pranav Narahari: Yeah.

64 00:06:22.940 ⇒ 00:06:28.239 Clarence Stone: I remember I was, like, talking to Grok while I was… because I was like, I’m noticing this.

65 00:06:28.240 ⇒ 00:06:32.919 Pranav Narahari: But, like, I didn’t… I didn’t follow up on it. I think there might be, like, some, like…

66 00:06:33.130 ⇒ 00:06:34.699 Pranav Narahari: Science behind that.

67 00:06:34.700 ⇒ 00:06:45.249 Clarence Stone: Yeah, because, like, at home, I don’t have, like, a really fast charger. I have a level 2, but not, like, a tippy-top one. Yeah. And…

68 00:06:45.840 ⇒ 00:06:51.309 Clarence Stone: like, dude, it’s, like, sitting at 30%, it’s been that way for, like, weeks now. Like, it isn’t…

69 00:06:51.720 ⇒ 00:06:56.590 Clarence Stone: Like, I drove it around a little bit, I think it hit, like, 27 last night, and…

70 00:06:56.590 ⇒ 00:06:57.280 Pranav Narahari: Yeah.

71 00:06:57.280 ⇒ 00:07:14.349 Clarence Stone: Like, it doesn’t, like, discharge that quickly. I don’t know, it’s a little weird, because, like, when I was planning that Dallas trip, I was like, okay, if I supercharge at 80, I can actually make it all the way home, right? Stop at the UTAM, go all the way home, and I’ll be fine, and I didn’t make it.

72 00:07:14.660 ⇒ 00:07:15.360 Pranav Narahari: Mmm.

73 00:07:15.360 ⇒ 00:07:18.559 Clarence Stone: So fucking pissed, but, like, the Bucky saved my ass.

74 00:07:18.720 ⇒ 00:07:21.470 Pranav Narahari: Yeah, the Buc-ee’s. Fucking good.

75 00:07:21.650 ⇒ 00:07:26.219 Pranav Narahari: Yeah, so clutch. I think it has to do with that. Now that I’m thinking about it, I’m remembering, like.

76 00:07:26.450 ⇒ 00:07:37.049 Pranav Narahari: it’s, like, stuff I learned in college, like capacitance versus, like, just capacitors and, like, batteries, like, how they discharge and, like, gain charge. It has something to do with that.

77 00:07:37.120 ⇒ 00:07:47.400 Pranav Narahari: Basically, if, like, you’re supercharging… it’s like, when you’re trickle charging, I think it holds its, like, energy faster, but, like, it takes way longer to, like, charge your battery, too.

78 00:07:47.880 ⇒ 00:07:48.570 Clarence Stone: Yeah.

79 00:07:49.480 ⇒ 00:07:51.120 Pranav Narahari: I need to…

80 00:07:51.780 ⇒ 00:07:56.100 Clarence Stone: It’s… I’m new to it. I picked it up in December when they were doing the crazy sale.

81 00:07:57.910 ⇒ 00:08:04.479 Clarence Stone: So I only have a Model 3 Premium. So, like, literally one step up above the cheapest one.

82 00:08:05.120 ⇒ 00:08:05.929 Pranav Narahari: Okay, yeah, yeah.

83 00:08:05.930 ⇒ 00:08:06.530 Clarence Stone: Yeah.

84 00:08:06.750 ⇒ 00:08:10.240 Clarence Stone: And I treat it like a fucking limo service.

85 00:08:11.360 ⇒ 00:08:12.910 Pranav Narahari: Wait, what year is it?

86 00:08:13.050 ⇒ 00:08:14.540 Clarence Stone: 26.

87 00:08:15.250 ⇒ 00:08:20.639 Pranav Narahari: 26, okay, okay. So you have, like, the hardware 5, yeah, yeah. So it’s still the best self-driving, yeah.

88 00:08:20.640 ⇒ 00:08:22.190 Clarence Stone: Oh, it’s so good, like.

89 00:08:22.190 ⇒ 00:08:23.030 Pranav Narahari: so good.

90 00:08:23.030 ⇒ 00:08:27.580 Clarence Stone: I don’t think I… I touched the steering wheel from MoveTom’s house to my house.

91 00:08:27.760 ⇒ 00:08:30.470 Pranav Narahari: You don’t need to, yeah, it’s insane. Yeah.

92 00:08:30.990 ⇒ 00:08:32.220 Clarence Stone: Yeah, man.

93 00:08:32.220 ⇒ 00:08:34.400 Pranav Narahari: I love that car. Oh my gosh.

94 00:08:34.730 ⇒ 00:08:39.459 Pranav Narahari: Okay, so what was I gonna talk to you about? Frontier operations.

95 00:08:40.500 ⇒ 00:08:48.110 Clarence Stone: So, there’s this concept now. I think every single, like, Frontier Labs has admitted it.

96 00:08:49.390 ⇒ 00:08:52.410 Clarence Stone: That models are all, like, good enough.

97 00:08:53.560 ⇒ 00:09:04.849 Clarence Stone: the way these outputs are generated and are actually, like, really killer and good is the context engineering, the MCPs, and the data availability.

98 00:09:05.680 ⇒ 00:09:11.530 Clarence Stone: Right? At the right moments when you’re prompting. So it’s not just that, like.

99 00:09:11.810 ⇒ 00:09:18.350 Clarence Stone: all our stuff is in a repo, but is it indexed, structured, explorable by AI?

100 00:09:18.470 ⇒ 00:09:23.800 Clarence Stone: Are the context pieces within a conversation, like a session.

101 00:09:23.980 ⇒ 00:09:27.419 Clarence Stone: like, there when you need it. And…

102 00:09:27.800 ⇒ 00:09:32.960 Clarence Stone: you know, what I call Layer 3, what I’ve been, like, experimenting with, is, like, the intense layer of

103 00:09:33.240 ⇒ 00:09:35.620 Clarence Stone: Yeah, you know my organization.

104 00:09:35.810 ⇒ 00:09:39.240 Clarence Stone: You know, like, what this project is about.

105 00:09:39.650 ⇒ 00:09:43.000 Clarence Stone: But do you know what I’m trying to do in this conversation, in this moment?

106 00:09:44.130 ⇒ 00:09:48.120 Clarence Stone: Right. So… Like, if you think about…

107 00:09:48.900 ⇒ 00:09:50.750 Clarence Stone: like, this is where I guess, like.

108 00:09:51.550 ⇒ 00:09:59.149 Clarence Stone: I start to dominate this space, because I… I always, like, as a UX designer, we are the intersection between business and technology.

109 00:09:59.420 ⇒ 00:10:04.540 Clarence Stone: Right? We’re the people that have to sit down and say, you saw a Figma, that’s not real.

110 00:10:05.820 ⇒ 00:10:23.449 Clarence Stone: Like, you have no idea how many times in my, like, career I’ve had to do that, right? Like, I still need months to make your front end, like, this isn’t real, right? Like, so… so if you think about it, you have your organizational context, the SOPs, the standards, you know, and then…

111 00:10:23.590 ⇒ 00:10:24.950 Clarence Stone: by…

112 00:10:25.120 ⇒ 00:10:35.720 Clarence Stone: client, you have the SOW, the client conversations, the planning, the day-to-day, you know, the atomic level of that is like a ticket.

113 00:10:36.150 ⇒ 00:10:37.120 Clarence Stone: Right.

114 00:10:37.510 ⇒ 00:10:42.899 Clarence Stone: The largest level probably is an SOW, or, like, the overall plan of your Gantt charts.

115 00:10:43.300 ⇒ 00:10:49.909 Clarence Stone: Right? If you distill that Gantt chart, it becomes weeks, weeks become days, and days become tickets.

116 00:10:50.450 ⇒ 00:10:51.190 Pranav Narahari: Yeah.

117 00:10:51.650 ⇒ 00:10:53.240 Clarence Stone: that availability…

118 00:10:53.370 ⇒ 00:11:03.009 Clarence Stone: I built in that platform you were seeing. That’s why, like, my outputs are clearly different than what you see in Cursor all the time.

119 00:11:04.150 ⇒ 00:11:10.119 Clarence Stone: Right? Because I get the context to lock in to what this topic is right now.

120 00:11:11.140 ⇒ 00:11:11.790 Pranav Narahari: Hmm.

121 00:11:11.960 ⇒ 00:11:18.209 Clarence Stone: Right, so, like, when I talk about Lilo, I made a separate Lilo workspace saying, like, this is the file tree.

122 00:11:19.200 ⇒ 00:11:24.490 Clarence Stone: What you need to look at, but in the context of the broader, like, organization.

123 00:11:25.890 ⇒ 00:11:26.710 Pranav Narahari: Gotcha.

124 00:11:26.710 ⇒ 00:11:32.810 Clarence Stone: Right? The next layer I’m working on is intent, and intent is having, like.

125 00:11:32.910 ⇒ 00:11:39.649 Clarence Stone: A conversation about who I am, what I do, how I like to work, how I like to talk.

126 00:11:41.170 ⇒ 00:11:45.370 Clarence Stone: And… Dude, it’s mind-blowing.

127 00:11:45.540 ⇒ 00:11:54.999 Clarence Stone: Because the intent systems now… I want to show you this example, because it’s, like, it still, like, kind of bothers me how good it is.

128 00:11:55.860 ⇒ 00:12:01.859 Clarence Stone: So, so, Luke comes to us with an issue of, like.

129 00:12:02.550 ⇒ 00:12:10.979 Clarence Stone: D&G wants to, you know, wants me to give them pricing over email, and I don’t know how to do it. I don’t know how to deal with it.

130 00:12:11.380 ⇒ 00:12:12.190 Pranav Narahari: Yeah.

131 00:12:12.370 ⇒ 00:12:19.709 Clarence Stone: So… Like, if you see this, I… I literally just…

132 00:12:19.990 ⇒ 00:12:26.339 Clarence Stone: Not this conversation, which one? This one. How to show ROI, how to price, here is context.

133 00:12:26.730 ⇒ 00:12:32.900 Pranav Narahari: We want to give customer options, but giving pricing on phone is optimal.

134 00:12:32.900 ⇒ 00:12:37.269 Clarence Stone: We don’t want pricing to spread. This just fucking doesn’t make any sense.

135 00:12:38.030 ⇒ 00:12:43.550 Clarence Stone: Provide elite-level approach, customer support, strategy, human insights. Literally fucking keywords.

136 00:12:43.770 ⇒ 00:12:44.430 Pranav Narahari: Yeah.

137 00:12:44.430 ⇒ 00:12:49.959 Clarence Stone: And I just pasted you and Luke’s and Utam’s conversation from Slack.

138 00:12:50.220 ⇒ 00:12:50.880 Pranav Narahari: Yeah.

139 00:12:51.090 ⇒ 00:12:52.400 Clarence Stone: That’s all I did.

140 00:12:52.580 ⇒ 00:12:54.130 Pranav Narahari: The thing is, like.

141 00:12:54.250 ⇒ 00:12:57.280 Clarence Stone: Now that I have this intent button, it knows what I do.

142 00:12:57.680 ⇒ 00:12:58.600 Pranav Narahari: Mmm.

143 00:12:58.600 ⇒ 00:13:06.600 Clarence Stone: Right? And what it punches out is, like, hey, here’s your elite-level pricing and your life strategy!

144 00:13:07.100 ⇒ 00:13:16.760 Clarence Stone: Here’s the problem you’re facing! Here’s the strategic insight in the problem. This is how we solve it. Why is this gonna work? Here’s your ROI framework. It just…

145 00:13:17.090 ⇒ 00:13:23.870 Clarence Stone: becomes brutally accurate, because I’m zoning in from, like, the company standards.

146 00:13:24.140 ⇒ 00:13:27.099 Clarence Stone: Into, like, a situation, and then who I am.

147 00:13:28.270 ⇒ 00:13:32.000 Clarence Stone: Right. It knows this is what I want to see every time.

148 00:13:33.630 ⇒ 00:13:41.600 Clarence Stone: I bet you if we built this system right, if I just dumped that chat in, it would be like, Clarence, you have to fix it, this is how you need to fix it.

149 00:13:44.470 ⇒ 00:13:46.129 Pranav Narahari: The chat… which chat?

150 00:13:46.330 ⇒ 00:13:50.080 Clarence Stone: This chat, like, you know how I had the keyword spam up here?

151 00:13:50.080 ⇒ 00:13:51.230 Pranav Narahari: Oh, yeah, yeah.

152 00:13:51.230 ⇒ 00:13:57.449 Clarence Stone: Like, I bet you if we made really good intent systems, this wouldn’t be necessary. If I just pasted.

153 00:13:57.450 ⇒ 00:13:58.630 Pranav Narahari: Oh, I see what you’re saying.

154 00:13:58.630 ⇒ 00:13:59.539 Clarence Stone: It would work.

155 00:13:59.680 ⇒ 00:14:04.759 Clarence Stone: Because they would just be like, oh, Clarence, you know, does the customer crisis care.

156 00:14:05.530 ⇒ 00:14:06.220 Clarence Stone: Boom.

157 00:14:07.730 ⇒ 00:14:13.519 Clarence Stone: Right? And let me show you echoes of this, because earlier.

158 00:14:14.130 ⇒ 00:14:16.739 Clarence Stone: I think I got close to nailing it.

159 00:14:17.550 ⇒ 00:14:23.909 Clarence Stone: This is crazy.

160 00:14:24.450 ⇒ 00:14:29.169 Clarence Stone: So, I don’t know if you know about Hermes Agent. You’ve probably heard of OpenClaw, right?

161 00:14:29.410 ⇒ 00:14:30.190 Pranav Narahari: Yeah.

162 00:14:30.770 ⇒ 00:14:42.970 Clarence Stone: So, it’s like Open Claw, but it’s made by Naus Labs, by really fucking good engineers that understand, like, context engineering, that understand reinforcement.

163 00:14:42.970 ⇒ 00:14:46.359 Pranav Narahari: Are you showing a different page besides, Cindy? Oh, okay.

164 00:14:46.360 ⇒ 00:14:47.889 Clarence Stone: I’m just prepping it while I… while I scroll.

165 00:14:47.890 ⇒ 00:14:49.470 Pranav Narahari: Oh.

166 00:14:49.530 ⇒ 00:14:54.689 Clarence Stone: Yeah, I gotcha. So this is gonna look super noisy, because it’s like a dev console type view.

167 00:14:55.580 ⇒ 00:15:01.669 Clarence Stone: But, like, they created more of a personalized agent that knows me.

168 00:15:02.300 ⇒ 00:15:03.030 Pranav Narahari: Mmm.

169 00:15:03.030 ⇒ 00:15:08.880 Clarence Stone: And if you look at this chat, I literally just copied and pasted a fucking screenshot.

170 00:15:12.750 ⇒ 00:15:18.500 Clarence Stone: And it says, based on my research, this is what Greg is trying to find out about Element.

171 00:15:18.690 ⇒ 00:15:21.930 Pranav Narahari: Here’s the answers to the Greg’s questions.

172 00:15:24.840 ⇒ 00:15:26.440 Clarence Stone: Fucking crazy.

173 00:15:28.500 ⇒ 00:15:30.179 Clarence Stone: I didn’t do shit.

174 00:15:30.660 ⇒ 00:15:33.120 Pranav Narahari: Like, I don’t know if you can see the pop-up, but, like.

175 00:15:34.260 ⇒ 00:15:35.290 Clarence Stone: That’s it.

176 00:15:35.450 ⇒ 00:15:36.340 Pranav Narahari: Yeah.

177 00:15:36.710 ⇒ 00:15:38.939 Clarence Stone: Dude, and then it makes an MD file for me.

178 00:15:41.130 ⇒ 00:15:42.250 Pranav Narahari: Yeah, that’s sick.

179 00:15:44.140 ⇒ 00:15:47.199 Clarence Stone: So, strategy-wise.

180 00:15:47.420 ⇒ 00:15:58.639 Clarence Stone: I’ve started going around to, like, large Fortune 500 companies, showing what I’ve been building, and I was like, whatever people are trying to sell you, it’s fucking fake.

181 00:15:59.420 ⇒ 00:16:02.779 Clarence Stone: Because they’re not looking at your company’s data.

182 00:16:04.040 ⇒ 00:16:08.010 Clarence Stone: And then they’re like, well, if we give you the data, like, it’s unsafe, blah blah blah.

183 00:16:08.530 ⇒ 00:16:10.989 Clarence Stone: I was like, but we don’t care about your data.

184 00:16:11.480 ⇒ 00:16:14.510 Clarence Stone: Every single Frontier Lab wants your data.

185 00:16:15.080 ⇒ 00:16:16.520 Clarence Stone: I don’t want your data.

186 00:16:16.870 ⇒ 00:16:20.130 Clarence Stone: We just want to build you really fucking great software.

187 00:16:21.660 ⇒ 00:16:22.650 Clarence Stone: Right?

188 00:16:22.840 ⇒ 00:16:29.109 Clarence Stone: So, there was this article that this dude, like, I’m so mad he figured out what I figured out, like…

189 00:16:29.740 ⇒ 00:16:36.950 Clarence Stone: I figured this out in, like, early February, and that’s why I started building this, but last week, this dude from Sequoia was like.

190 00:16:37.860 ⇒ 00:16:40.210 Clarence Stone: The product is the service.

191 00:16:40.900 ⇒ 00:16:44.930 Clarence Stone: And the service is creating this harness.

192 00:16:45.380 ⇒ 00:16:47.789 Clarence Stone: For every single company.

193 00:16:49.210 ⇒ 00:16:54.220 Clarence Stone: Right? To be that good, and then starting to layer automations on top.

194 00:16:56.520 ⇒ 00:16:57.550 Clarence Stone: Right?

195 00:16:58.140 ⇒ 00:17:03.490 Clarence Stone: And if you think about it that way, Brainforge will never run out of work.

196 00:17:06.030 ⇒ 00:17:11.740 Clarence Stone: Right? Because somebody will always come and say, Here’s, like, our knowledge.

197 00:17:12.109 ⇒ 00:17:15.929 Clarence Stone: Here’s our security risk and understanding and tolerances.

198 00:17:16.359 ⇒ 00:17:17.039 Pranav Narahari: Right.

199 00:17:17.980 ⇒ 00:17:19.969 Clarence Stone: Build us the software.

200 00:17:22.020 ⇒ 00:17:23.069 Pranav Narahari: Gotcha.

201 00:17:23.079 ⇒ 00:17:27.029 Clarence Stone: Right? And now everybody is tackling this problem

202 00:17:27.259 ⇒ 00:17:38.059 Clarence Stone: differently. In business dynamics, I see it tackled in three ways. One, they go, oh, I’m just gonna find expertise in one business topic.

203 00:17:38.439 ⇒ 00:17:40.979 Clarence Stone: And be really good. Like Harvey.

204 00:17:42.359 ⇒ 00:17:48.139 Clarence Stone: Right? Like, I just want to support lawyers, and I’m gonna make the SaaS software for them.

205 00:17:48.859 ⇒ 00:17:54.099 Clarence Stone: Well, that’s not scalable, because as soon as, like, Anthropic makes a Anthropic for Law, you’re cooked.

206 00:17:55.710 ⇒ 00:17:56.470 Clarence Stone: Right.

207 00:17:57.320 ⇒ 00:18:04.569 Clarence Stone: Option two is pure play software consultancy, as in, we will start from zero.

208 00:18:05.130 ⇒ 00:18:06.620 Clarence Stone: And build it for you.

209 00:18:06.890 ⇒ 00:18:09.850 Clarence Stone: That’s the… that’s the game you guys have been playing.

210 00:18:10.220 ⇒ 00:18:10.820 Pranav Narahari: Yeah.

211 00:18:11.010 ⇒ 00:18:16.829 Clarence Stone: when I made this, I was like, Tom, you have to understand, like, we need to make the 80% solution.

212 00:18:17.470 ⇒ 00:18:24.580 Clarence Stone: And then plug and play for them. And then our margins go up, our delivery timelines go down, the value goes up.

213 00:18:25.410 ⇒ 00:18:26.739 Pranav Narahari: Yeah, I see what you’re saying.

214 00:18:26.740 ⇒ 00:18:27.150 Clarence Stone: Right.

215 00:18:27.150 ⇒ 00:18:43.379 Pranav Narahari: So kind of, like, how I would apply that, like, in a sales call for this, like, this client, for example, is… I’m showing you the 80% solution, right? We just demo vicinity, and then we’re like, what are… yeah, what…

216 00:18:44.290 ⇒ 00:18:44.970 Pranav Narahari: Ha.

217 00:18:45.160 ⇒ 00:18:57.990 Pranav Narahari: how do you feel about your data? Like, at what point is it just, like, free reign? Are there certain things that need to be, like, redacted, secured, like… and that’s, like, the 20% that we build in.

218 00:18:57.990 ⇒ 00:19:02.970 Clarence Stone: I’ll switch the conversation and say, you’ve probably been pitched a lot of AI tools.

219 00:19:03.790 ⇒ 00:19:09.029 Clarence Stone: At what point have they ever asked you about your organization, how you work.

220 00:19:09.200 ⇒ 00:19:11.520 Clarence Stone: and how you want to plug AI into it.

221 00:19:13.270 ⇒ 00:19:15.679 Clarence Stone: None. Nobody gives a fuck.

222 00:19:16.500 ⇒ 00:19:19.119 Clarence Stone: They’re like, buy our subscription and kick rocks.

223 00:19:19.330 ⇒ 00:19:25.329 Clarence Stone: Right? That’s, like, the model today. If somebody comes around and tries to sell you shit, it’s probably a SaaS.

224 00:19:27.100 ⇒ 00:19:28.950 Clarence Stone: Right, or if they say yes.

225 00:19:29.760 ⇒ 00:19:36.610 Clarence Stone: Say, oh, are they starting from zero? Because we created this 80% solution, we’re gonna be able to deliver 50% faster.

226 00:19:37.140 ⇒ 00:19:38.000 Pranav Narahari: Yeah.

227 00:19:38.600 ⇒ 00:19:40.960 Clarence Stone: So what’s… like, what do you want to play, sir?

228 00:19:41.230 ⇒ 00:19:42.400 Pranav Narahari: Right.

229 00:19:42.410 ⇒ 00:19:52.249 Clarence Stone: And, you know, this 80% solution, by the way, like, I think I explained some of the scaffolding for the harness to use, like, you can do a hybrid model.

230 00:19:52.370 ⇒ 00:19:53.959 Clarence Stone: which Sam is working on.

231 00:19:54.370 ⇒ 00:20:00.729 Clarence Stone: Where the MCPs are on the cloud, in a separate container, the skills are in a separate container.

232 00:20:00.950 ⇒ 00:20:03.499 Clarence Stone: Your orchestration layer’s in a separate container.

233 00:20:03.500 ⇒ 00:20:04.390 Pranav Narahari: Right.

234 00:20:04.390 ⇒ 00:20:09.739 Clarence Stone: And… You have, like, a client-side app or a website that you go to to use it.

235 00:20:09.870 ⇒ 00:20:12.440 Clarence Stone: Now, that’s like your traditional cloud play.

236 00:20:13.390 ⇒ 00:20:18.639 Clarence Stone: And if you’re cool with that, we’re cool with that. Put it on Azure, put it on AWS, don’t give a fuck.

237 00:20:18.800 ⇒ 00:20:27.260 Clarence Stone: Yeah. Because deployment, and this is what I was strategizing with Sam on earlier, that’s why I was trying to get you on the call, but, like, wanting to think about it, I was like.

238 00:20:27.480 ⇒ 00:20:30.560 Clarence Stone: It can’t be bound to a provider.

239 00:20:31.770 ⇒ 00:20:42.359 Clarence Stone: Right? So I was like, you know, I don’t know what the full answer is, but, like, my non-back-end professional decision-making is, like, it has to be, like, Docker.

240 00:20:43.220 ⇒ 00:20:52.250 Clarence Stone: Right. Where you pick your hyperscaler, and you just put a Docker container there. It doesn’t matter what it is, right?

241 00:20:52.250 ⇒ 00:20:52.790 Pranav Narahari: Right.

242 00:20:54.340 ⇒ 00:21:03.679 Clarence Stone: So, like, if we do it that way, we say, okay, you just, you know, pick whatever vendor. You guys are a Google house? Put it on Google. Put it on Google Cloud. Use Google Models.

243 00:21:04.020 ⇒ 00:21:13.339 Clarence Stone: It doesn’t matter, right? Because I showed you, like, multiple examples. Some of them were Kimmy, some of them were Gemini 3.1, some of them were Flash. It didn’t matter anymore.

244 00:21:15.110 ⇒ 00:21:23.300 Clarence Stone: Right? And then, two, if they want a hybrid setup, we can say, hey, we can store all your conversation sessions

245 00:21:23.730 ⇒ 00:21:25.350 Clarence Stone: On your own laptop.

246 00:21:25.770 ⇒ 00:21:29.940 Clarence Stone: But we’ll only reach out if we need to generate an image.

247 00:21:30.470 ⇒ 00:21:38.870 Clarence Stone: If we need to reach out to an LLM, right? And the way my harness works is it only sends the encapsulated message.

248 00:21:39.500 ⇒ 00:21:42.240 Clarence Stone: It doesn’t send the whole session text.

249 00:21:43.160 ⇒ 00:21:45.930 Pranav Narahari: Gotcha. Context is held on the app.

250 00:21:47.740 ⇒ 00:21:54.249 Clarence Stone: Right? So, like, you ask a question, it’ll say, okay, what’s Pranov’s context? What’s his intent?

251 00:21:54.480 ⇒ 00:22:03.300 Clarence Stone: okay, I know how to ask the question, and it goes out, and it gives you an answer, gives you the response back, right? And that section is closed.

252 00:22:05.060 ⇒ 00:22:08.329 Clarence Stone: When you send another prompt, it starts a new session again.

253 00:22:09.000 ⇒ 00:22:11.259 Clarence Stone: But you’re not losing any resolution.

254 00:22:12.300 ⇒ 00:22:15.950 Clarence Stone: And, and if you notice, like, this is, this is my proof.

255 00:22:16.080 ⇒ 00:22:18.290 Clarence Stone: I’ve been counting context.

256 00:22:19.140 ⇒ 00:22:24.680 Clarence Stone: And it never breaks, or ever compacts. And it goes past the context window.

257 00:22:24.880 ⇒ 00:22:25.740 Pranav Narahari: Mmm.

258 00:22:26.930 ⇒ 00:22:36.510 Clarence Stone: Right? Why? Because, like, in this context, it’s holding more than that, but it never ships the full context back and forth.

259 00:22:36.830 ⇒ 00:22:37.940 Pranav Narahari: Right, right.

260 00:22:39.010 ⇒ 00:22:43.639 Clarence Stone: Right, so that’s already a hybrid layer of security no one’s ever offering.

261 00:22:45.410 ⇒ 00:22:50.810 Clarence Stone: Right? Because then, like, these model providers will have to stitch together your conversation.

262 00:22:51.060 ⇒ 00:23:00.400 Clarence Stone: Like, find Pranav Session 1, Message 1, Message 2, Message 3. Like, it’s never gonna happen, right? This is my evil cyber brain just, like, being a dick.

263 00:23:01.410 ⇒ 00:23:02.230 Clarence Stone: Right.

264 00:23:02.630 ⇒ 00:23:11.720 Clarence Stone: And then option 3 is, like, I, like, I don’t know how much you know about my original company, it was, like, delivering fully local AI solutions.

265 00:23:12.190 ⇒ 00:23:13.150 Pranav Narahari: Oh, okay.

266 00:23:13.150 ⇒ 00:23:26.470 Clarence Stone: So I always built on top of local stack, and if you see what I’m using, I’m probably using, along with Cloud, KimmyK2.5, there’s a computer right across the room from me that’s actually servicing that for me. I have local cloud.

267 00:23:27.600 ⇒ 00:23:33.549 Clarence Stone: Right? And it’s because I have this weird belief that you need to own the means to your own production.

268 00:23:33.710 ⇒ 00:23:42.109 Clarence Stone: So when I see, like, oh, Cloud Code is down, or all of these coding agents are down, or, like, Anthropic is not working today, I don’t give a fuck.

269 00:23:42.500 ⇒ 00:23:43.260 Pranav Narahari: Yeah.

270 00:23:44.160 ⇒ 00:23:47.110 Clarence Stone: Right? Sure, I’m not gonna get to, like, slam cursor.

271 00:23:47.380 ⇒ 00:23:51.520 Clarence Stone: Right? And run, like, 7 tabs, like I want to.

272 00:23:51.590 ⇒ 00:23:52.480 Pranav Narahari: But…

273 00:23:52.580 ⇒ 00:23:55.040 Clarence Stone: Like, my business doesn’t turn off.

274 00:23:55.710 ⇒ 00:23:56.360 Pranav Narahari: Right.

275 00:23:56.360 ⇒ 00:23:58.189 Clarence Stone: My data isn’t anywhere else.

276 00:23:58.630 ⇒ 00:23:59.340 Pranav Narahari: Yep.

277 00:23:59.610 ⇒ 00:24:03.600 Clarence Stone: So, like, when you talk to the customer, it’s really, like, saying, like.

278 00:24:03.990 ⇒ 00:24:07.500 Clarence Stone: What are the interests of the people who are trying to sell things to you right now?

279 00:24:07.930 ⇒ 00:24:17.499 Pranav Narahari: Yeah, because, like, if you spoke… if you said this stuff to them, they’d be like, okay, this is the guy that we need to talk to. Yeah. Because, like, they think about data in the same way that we think about data.

280 00:24:18.200 ⇒ 00:24:29.409 Clarence Stone: And to them, like, that you need to remind them that the way they work, their workflows, their data, their inputs and outputs, are the only moat they have left in this era.

281 00:24:30.910 ⇒ 00:24:36.340 Clarence Stone: And then, if you think about who’s trying to sell you something, what is their interest?

282 00:24:37.440 ⇒ 00:24:38.100 Pranav Narahari: Hmm.

283 00:24:39.110 ⇒ 00:24:45.319 Clarence Stone: Ours is pure play, we want to come and build good business software for you. Nothing else.

284 00:24:46.460 ⇒ 00:24:50.400 Clarence Stone: And our proof is that we can deliver it in any way possible.

285 00:24:50.940 ⇒ 00:24:53.199 Pranav Narahari: Yeah. Whatever your risk tolerance is.

286 00:24:54.840 ⇒ 00:25:00.389 Clarence Stone: Right? So… I don’t know, like, that’s something to really, like, kind of…

287 00:25:01.000 ⇒ 00:25:09.520 Clarence Stone: think on, because, like, that’s, I think, the very unique positioning, even though the strategy is out. I don’t think anyone

288 00:25:09.860 ⇒ 00:25:15.760 Clarence Stone: Except for, like, Naus Research, by the way, that made Hermes, really understands that.

289 00:25:16.500 ⇒ 00:25:23.370 Clarence Stone: like, those engineers are killer, but they’re artistic engineers, they don’t understand the business, right? So I’m safe.

290 00:25:23.530 ⇒ 00:25:34.529 Clarence Stone: But they make really fucking good tech. So one of the things they’re doing is they’re scraping every single send message for APIs, or PII,

291 00:25:34.710 ⇒ 00:25:38.119 Clarence Stone: And then getting rid of it before it goes to the cloud.

292 00:25:38.310 ⇒ 00:25:39.000 Pranav Narahari: Hmm.

293 00:25:39.000 ⇒ 00:25:45.170 Clarence Stone: Now, if we had technology like that on top of all of the security, like, we’re a no-brainer option.

294 00:25:45.480 ⇒ 00:25:48.000 Clarence Stone: Right? And being able to deliver it quickly.

295 00:25:48.180 ⇒ 00:25:52.539 Clarence Stone: and, you know, at Brainforged prices will be unheard of.

296 00:25:54.060 ⇒ 00:26:05.089 Clarence Stone: Right? So, so that’s the strat, that’s the long play strat. And, you know, once you have people who are adopting, you know, like, maybe 1, like, eight skills, 3 MCPs.

297 00:26:05.620 ⇒ 00:26:08.800 Clarence Stone: Right? They’re gonna want… To automate that.

298 00:26:10.470 ⇒ 00:26:17.409 Clarence Stone: Right? That means we have to come and look at their workflow, right? Say, okay, this thing is gonna trigger, you’re gonna wake up and get this message.

299 00:26:18.140 ⇒ 00:26:18.750 Pranav Narahari: Yep.

300 00:26:18.750 ⇒ 00:26:23.810 Clarence Stone: Right? Like, that Google guy that you were talking about, that’s what he’s imagining, that’s what he wants.

301 00:26:24.680 ⇒ 00:26:32.380 Clarence Stone: Right? Yep. But if your skills, you have to prompt multiple times, What’s… it’s not gonna work?

302 00:26:32.990 ⇒ 00:26:36.010 Clarence Stone: Right? Like, you said you’ve been using those skills.

303 00:26:36.140 ⇒ 00:26:39.579 Clarence Stone: How many times has the first result been the best one?

304 00:26:42.200 ⇒ 00:26:45.110 Pranav Narahari: Yeah, usually maybe you need a reprompt or refine it, yeah.

305 00:26:45.730 ⇒ 00:26:54.440 Clarence Stone: That’s the problem. And they, like, for all of these companies who are saying, oh, you can just use your phone, you can do this automation, whatever, like.

306 00:26:54.960 ⇒ 00:27:00.809 Clarence Stone: All of these agents are going to require maintenance, because they didn’t wait to build good skills.

307 00:27:01.190 ⇒ 00:27:03.329 Clarence Stone: They just said we automated it.

308 00:27:03.680 ⇒ 00:27:10.080 Clarence Stone: That’s lazy, because you have zero context engineering, zero skill building, and no intent of who the user is.

309 00:27:10.330 ⇒ 00:27:10.990 Pranav Narahari: Yep.

310 00:27:11.760 ⇒ 00:27:13.750 Clarence Stone: Nothing is ever gonna be good.

311 00:27:14.370 ⇒ 00:27:18.260 Pranav Narahari: Yeah, yeah. And then as process changes, too, then it’s just like…

312 00:27:18.960 ⇒ 00:27:25.010 Pranav Narahari: then you have to, of course, change all that stuff, too. So, like, you haven’t even solidified what the process is, even.

313 00:27:25.240 ⇒ 00:27:37.130 Clarence Stone: Yeah. So, like, to me, that’s like, I, you know, I keep telling you, Tom, I’m like, I see two years in the future, we have so much work, and it’s gonna be different types of work, but undoubtedly, like.

314 00:27:37.560 ⇒ 00:27:48.299 Clarence Stone: It will still, like, be built off of this core concept that we own the harness, and the harness allows us to deliver, you know, different experiences in however way we want.

315 00:27:53.010 ⇒ 00:27:53.860 Pranav Narahari: Okay.

316 00:27:54.120 ⇒ 00:28:03.770 Pranav Narahari: So… if I think about, then, this specific demo, right? Like… Is it really just as…

317 00:28:04.190 ⇒ 00:28:09.759 Pranav Narahari: it’s almost like, do they even need to see, like, software? Like, do they even need to see a software demo like D&G?

318 00:28:09.760 ⇒ 00:28:11.899 Clarence Stone: We should demo it. We should demo it.

319 00:28:12.060 ⇒ 00:28:28.450 Clarence Stone: And… and I mean, I’m a front-end developer, so, like, I’ll just rip their website and skin it, so that the app looks like theirs, and we’ll just do a theme switcher, and just be like, this could be yours, right? But I think you should start the conversation. Have you talked with them before?

320 00:28:28.690 ⇒ 00:28:31.640 Pranav Narahari: No, literally, like, that thread is the first time I heard of them, yeah.

321 00:28:31.640 ⇒ 00:28:34.259 Clarence Stone: Okay, so, so you can say, hey,

322 00:28:34.420 ⇒ 00:28:40.879 Clarence Stone: Great to meet you, I’m AI dude, blah blah blah. I’ll probably be on the call, so… but, like, the framework of this conversation really is.

323 00:28:41.750 ⇒ 00:28:48.920 Clarence Stone: like, Luke showed you some amazing things, but, like, I just want to go from foundations, like, what’s your AI strategy?

324 00:28:49.540 ⇒ 00:28:50.230 Pranav Narahari: Yeah.

325 00:28:50.560 ⇒ 00:28:52.910 Clarence Stone: Right. What are your concerns and goals?

326 00:28:54.370 ⇒ 00:28:55.260 Clarence Stone: Right?

327 00:28:55.880 ⇒ 00:29:02.639 Clarence Stone: Because what we do is we build custom software that fits your organization, with custom context.

328 00:29:03.150 ⇒ 00:29:06.559 Clarence Stone: Right? And, and fits your risk tolerance.

329 00:29:07.360 ⇒ 00:29:08.540 Clarence Stone: So tell me more.

330 00:29:09.770 ⇒ 00:29:14.049 Clarence Stone: Right? Blah blah blah blah blah. Okay, well, check out what we built for ourselves.

331 00:29:14.190 ⇒ 00:29:15.720 Clarence Stone: This is the way we work.

332 00:29:15.900 ⇒ 00:29:17.609 Clarence Stone: This is our risk tolerance.

333 00:29:17.960 ⇒ 00:29:18.820 Clarence Stone: Right?

334 00:29:20.770 ⇒ 00:29:27.470 Clarence Stone: But, you know, we can build however you want to, right? If you want the application that you own.

335 00:29:27.680 ⇒ 00:29:47.380 Clarence Stone: to be on your own private cloud, we can do that. And it could look like your app. You just do a theme switch, right? You know, do simple things like, you know, calendar integrations, or whatever, like, call a skill, right? That they would kind of relate to, and then just be like, so…

336 00:29:47.880 ⇒ 00:29:50.659 Clarence Stone: Tell me more about that vision and how it could fit into this.

337 00:29:52.680 ⇒ 00:29:59.480 Clarence Stone: Right? That’s really the grab. Like, to be someone who clearly has no alterior motive.

338 00:30:00.150 ⇒ 00:30:04.149 Clarence Stone: Because this AI world is full of people who just want your fucking data.

339 00:30:04.770 ⇒ 00:30:05.490 Pranav Narahari: Right.

340 00:30:06.410 ⇒ 00:30:11.600 Clarence Stone: Right? And you can say to people, like, 6 ways from Sunday, like, Google has.

341 00:30:11.800 ⇒ 00:30:15.140 Clarence Stone: Like, for now, I’m never gonna save your search history.

342 00:30:15.850 ⇒ 00:30:20.729 Clarence Stone: You know what happened 2 years later? Pradav, I’m only gonna save it for 30 days. Just 30 days.

343 00:30:21.610 ⇒ 00:30:22.480 Pranav Narahari: Yeah.

344 00:30:22.740 ⇒ 00:30:27.670 Clarence Stone: And then, they’re like, well, actually, we’re just gonna look at all your Gmail, actually.

345 00:30:30.290 ⇒ 00:30:36.920 Clarence Stone: Right. That’s the progression, so if they say, oh, not really concerned about using any of this, like.

346 00:30:37.310 ⇒ 00:30:40.770 Clarence Stone: Well, you know, do you remember what Google told you?

347 00:30:42.810 ⇒ 00:30:45.260 Clarence Stone: Right? Like, do you want to be reliant on that stack?

348 00:30:46.160 ⇒ 00:30:47.460 Clarence Stone: Where do you want to own it?

349 00:30:47.590 ⇒ 00:30:51.660 Clarence Stone: And, you know, like, the best part about Brainforge is you guys are…

350 00:30:52.000 ⇒ 00:30:58.319 Clarence Stone: We’re fighting every day to create efficiencies so that, like, the pricing is always, like.

351 00:30:58.460 ⇒ 00:31:00.909 Clarence Stone: it’s still gonna be cheaper than a Frontier Lab.

352 00:31:02.730 ⇒ 00:31:08.680 Clarence Stone: Right? Like, you want Google to come in and just, like, overhaul everything for you? Like, it’s… like, we’re still gonna be cheaper than that.

353 00:31:09.060 ⇒ 00:31:09.810 Pranav Narahari: Yeah.

354 00:31:10.500 ⇒ 00:31:16.409 Clarence Stone: Right, so… Yeah, that’s… that’s sort of the concept. For the demo, though.

355 00:31:16.900 ⇒ 00:31:29.169 Clarence Stone: Like, that’s the storyline. I think that should be the storyline for every demo you do, but for the demo specifically, like, pro tips is ask Luke about what he knows about the customer.

356 00:31:29.830 ⇒ 00:31:35.769 Pranav Narahari: So yeah, this one, I think, is Robert, but yeah, yeah. Yeah, or Robert, right? Yeah. And…

357 00:31:36.410 ⇒ 00:31:45.660 Clarence Stone: like, we should… I’m gonna try to find some sort of template. I used to always make people do it, like, let me just rewind, like.

358 00:31:46.050 ⇒ 00:31:49.780 Clarence Stone: In consultancies, like, you’re required to fill your own hours.

359 00:31:49.940 ⇒ 00:31:54.300 Clarence Stone: Right. So, like, when the business dries up a little bit, I gotta go hunting.

360 00:31:54.860 ⇒ 00:31:55.450 Pranav Narahari: Yeah.

361 00:31:55.450 ⇒ 00:32:00.100 Clarence Stone: Right? Or, like, I’m selling something that’s hot as shit, and everybody wants to buy it.

362 00:32:00.260 ⇒ 00:32:04.419 Pranav Narahari: Either way, people are gonna come to you and say, my client wants to buy this.

363 00:32:05.040 ⇒ 00:32:17.020 Clarence Stone: Right? The one skill set that took me really long to figure out that I need to take control of in the narrative side of things is to say, I’m not going to talk to your customer until you can tell me these things.

364 00:32:17.520 ⇒ 00:32:18.360 Pranav Narahari: Hmm.

365 00:32:18.740 ⇒ 00:32:31.600 Clarence Stone: Right? Like, I need you to tell me what your customer cares about. What are their short-term and long-term goals? What did you guys talk about? And it’s okay if you don’t, like, know all of those answers, but I’m not gonna walk in blind.

366 00:32:32.070 ⇒ 00:32:32.790 Pranav Narahari: Yeah.

367 00:32:32.790 ⇒ 00:32:38.739 Clarence Stone: Right, so one of the, so I’m building a different, like, research agent.

368 00:32:38.950 ⇒ 00:32:39.320 Pranav Narahari: That’s good.

369 00:32:39.320 ⇒ 00:32:41.029 Clarence Stone: both on psychology.

370 00:32:41.790 ⇒ 00:32:51.819 Clarence Stone: And, like, negotiations. And the coolest part of what it can do is, like, give you suggestions on how to psychologically attack the facts that you know about that client.

371 00:32:52.560 ⇒ 00:32:53.320 Pranav Narahari: Hmm.

372 00:32:53.320 ⇒ 00:33:00.420 Clarence Stone: Right? So one, like, simple things is, like, people always love to hear what they’ve said to you back.

373 00:33:01.590 ⇒ 00:33:02.260 Pranav Narahari: Hmm.

374 00:33:02.480 ⇒ 00:33:10.920 Clarence Stone: Right. So, instead of trying to sell a product, I would say, hey, Pranav, you’ve told me that you love being able to work on the go.

375 00:33:11.410 ⇒ 00:33:16.020 Clarence Stone: Right. So, we really suggest that you use this cloud solution.

376 00:33:16.400 ⇒ 00:33:16.990 Pranav Narahari: Yeah.

377 00:33:16.990 ⇒ 00:33:19.609 Clarence Stone: Versus, hey, we have this cloud solution.

378 00:33:20.280 ⇒ 00:33:21.690 Pranav Narahari: Right, right, right.

379 00:33:21.690 ⇒ 00:33:22.969 Clarence Stone: Right? Like…

380 00:33:23.570 ⇒ 00:33:30.510 Clarence Stone: the first way is saying, you already said yes to this. So you have to say yes to this. Right, it’s like, this means

381 00:33:32.350 ⇒ 00:33:35.880 Clarence Stone: Right? So… so that’s why I asked for that intel.

382 00:33:36.210 ⇒ 00:33:36.600 Pranav Narahari: You could…

383 00:33:36.600 ⇒ 00:33:42.720 Clarence Stone: The whole conversation is you parroting back. I heard one of the challenges that you guys have is X.

384 00:33:43.190 ⇒ 00:33:47.089 Clarence Stone: Let me show you how we solved this in our company.

385 00:33:49.580 ⇒ 00:33:57.159 Clarence Stone: Right? I, you know, I notice that, like, companies in your category face this issue.

386 00:33:57.530 ⇒ 00:33:58.960 Pranav Narahari: Do you agree?

387 00:34:00.070 ⇒ 00:34:01.270 Pranav Narahari: Yeah.

388 00:34:01.270 ⇒ 00:34:04.969 Clarence Stone: Right? If you agree, then let me show you the solution.

389 00:34:06.310 ⇒ 00:34:08.929 Clarence Stone: Right? All of it is a psychological attack.

390 00:34:10.270 ⇒ 00:34:11.290 Pranav Narahari: So…

391 00:34:11.290 ⇒ 00:34:25.639 Clarence Stone: That’s… that’s the way we go about it, and I, you know, if you look at how we’re gonna expand this service, like, I’m gonna start doing, like, actually advisory consulting for… for the companies that say, like, for now, I don’t know what the fuck my AI strategy is.

392 00:34:26.080 ⇒ 00:34:26.850 Pranav Narahari: Right.

393 00:34:27.000 ⇒ 00:34:31.090 Clarence Stone: Alright, okay, let’s sell a different service. That’s an assessment.

394 00:34:31.610 ⇒ 00:34:37.219 Clarence Stone: Where we come and talk to you, and the output of the conversation is an AI roadmap.

395 00:34:38.510 ⇒ 00:34:44.449 Clarence Stone: Right? For the next 3 years, these are the things that you want to build your KPIs and the value props for each one.

396 00:34:44.650 ⇒ 00:34:55.110 Clarence Stone: Right? And I’m gonna put it into an executive-level slide, so all you do, you know, marketing director, is walk up to the fucking CEO and say, here’s my plan.

397 00:34:56.600 ⇒ 00:35:00.339 Clarence Stone: Right? And what are you gonna do once that CEO says yes?

398 00:35:00.500 ⇒ 00:35:01.800 Clarence Stone: You pay me.

399 00:35:02.100 ⇒ 00:35:03.820 Clarence Stone: To actually do the plan.

400 00:35:04.330 ⇒ 00:35:05.070 Pranav Narahari: Right.

401 00:35:05.440 ⇒ 00:35:08.920 Clarence Stone: Right? So, like, there’s different psychological attacks to it.

402 00:35:09.260 ⇒ 00:35:14.660 Clarence Stone: But that’s… that’s sort of the… the strats on how we handle, like, client conversations.

403 00:35:15.990 ⇒ 00:35:17.770 Pranav Narahari: Gotcha. Okay.

404 00:35:18.080 ⇒ 00:35:23.239 Clarence Stone: Right? Like, if somebody says, oh, we use this SaaS, I go, hey, does that fit the way you work?

405 00:35:24.970 ⇒ 00:35:27.580 Clarence Stone: They’ll say, this does, but that doesn’t.

406 00:35:27.850 ⇒ 00:35:28.690 Clarence Stone: Boop!

407 00:35:29.090 ⇒ 00:35:40.500 Clarence Stone: that’s a normal challenge that we see around, you know, that you’re paying a lot to use very few features. Part of what we do is understand how you work, and build the exact solution you’re working on.

408 00:35:42.260 ⇒ 00:35:42.980 Clarence Stone: Right.

409 00:35:43.450 ⇒ 00:35:45.400 Clarence Stone: How do you say no to that?

410 00:35:45.400 ⇒ 00:35:46.130 Pranav Narahari: Yeah.

411 00:35:46.410 ⇒ 00:35:51.750 Clarence Stone: Like, the only way you say no is that you’re a broke boy, or you’re too proud, and you’re gonna go back and try it.

412 00:35:52.190 ⇒ 00:35:52.900 Pranav Narahari: Yeah.

413 00:35:52.900 ⇒ 00:35:59.250 Clarence Stone: Right? And in this moment, Pranav, so, like, when you, like, kind of get people who say no or are hesitant.

414 00:35:59.450 ⇒ 00:36:06.220 Clarence Stone: I will bet you a bajillion dollars, these companies are going back and saying, I’m gonna try to do this myself.

415 00:36:07.100 ⇒ 00:36:11.539 Pranav Narahari: Because if, like, this 26, 27-year-old is coming and telling me he can do it.

416 00:36:12.000 ⇒ 00:36:15.720 Clarence Stone: Like, we’re staffing all these geniuses, why the fuck can’t they do it?

417 00:36:16.220 ⇒ 00:36:16.920 Pranav Narahari: Yeah.

418 00:36:17.150 ⇒ 00:36:26.590 Clarence Stone: Right? Like, that’s EY right now. They’re sweating. They’re sweating, they’re under-delivering, and they’re, like, starting to realize we can’t do it.

419 00:36:28.660 ⇒ 00:36:32.360 Clarence Stone: Right. And then, like, despair hits.

420 00:36:33.020 ⇒ 00:36:37.910 Clarence Stone: Saying, like, okay, if we’re gonna afford these guys, we have to shed some people.

421 00:36:39.120 ⇒ 00:36:41.939 Clarence Stone: And then when that happens, they buy us.

422 00:36:43.120 ⇒ 00:36:48.010 Clarence Stone: Right, so that’s… that’s sort of the plague. Like… like Uten was saying earlier, like.

423 00:36:49.170 ⇒ 00:36:52.979 Clarence Stone: These cycles take a long time, and it’s like…

424 00:36:53.100 ⇒ 00:36:57.630 Clarence Stone: People are having these backroom discussions. Trust me, they let me sit in them.

425 00:36:58.060 ⇒ 00:37:13.779 Clarence Stone: I’m sitting there going, like, all of this fucking hubris, you guys think that, like, people who are working day-to-day, like, delivering in the old style, where it’s, like, super time-consuming and, you know, human-consumptive, that your people are gonna have time to innovate for you?

426 00:37:14.630 ⇒ 00:37:15.250 Pranav Narahari: Right.

427 00:37:15.420 ⇒ 00:37:21.159 Clarence Stone: Like, let’s not lie to ourselves. That’s not gonna happen. You’re not gonna incubate this in-house.

428 00:37:22.060 ⇒ 00:37:22.770 Clarence Stone: Right.

429 00:37:23.020 ⇒ 00:37:36.690 Clarence Stone: And that’s why, like, I don’t know if Utam and Robert have told you, but one of the biggest challenges that the three of us have is people just go, oh, we don’t want to buy your product or service, we just want to buy you.

430 00:37:37.650 ⇒ 00:37:38.540 Pranav Narahari: Mmm.

431 00:37:38.540 ⇒ 00:37:42.929 Clarence Stone: They will try to say, as part of this thing, like, we just want 8 hours of Wuhan.

432 00:37:43.500 ⇒ 00:37:44.380 Pranav Narahari: Right.

433 00:37:44.380 ⇒ 00:37:48.370 Clarence Stone: Right? Because that’s the only other way to bring down that price.

434 00:37:49.020 ⇒ 00:37:50.130 Pranav Narahari: Right, right.

435 00:37:54.640 ⇒ 00:37:57.690 Clarence Stone: So that’s, your market dynamics overview of AI.

436 00:37:57.690 ⇒ 00:37:59.850 Pranav Narahari: Yeah, no, that’s good. That’s good.

437 00:38:02.760 ⇒ 00:38:05.330 Pranav Narahari: Yeah, I mean, this is one thing that…

438 00:38:06.060 ⇒ 00:38:11.810 Pranav Narahari: now, like, what I’m thinking about, like, what was starting to, like… I was starting to imagine in my head is just kind of, like…

439 00:38:12.120 ⇒ 00:38:18.639 Pranav Narahari: And you… it needs to be more natural than this, but you’re creating, like, kind of like a tree diagram in your head of, like, they say this.

440 00:38:18.880 ⇒ 00:38:25.780 Pranav Narahari: you… you have… this is, like, what you have in your back pocket, like… and it’s also, like, leading them down a path

441 00:38:26.050 ⇒ 00:38:35.450 Pranav Narahari: Right? So, like, yeah, you ask this, you know what they’re going to say, and you know what you’re gonna say back, and you know what they’re gonna say, and you know what you’re gonna say back.

442 00:38:36.130 ⇒ 00:38:43.689 Pranav Narahari: You can almost probably just, like, what is the last sentence you want to say in a meeting? And then just, like, work backwards to, like, what’s the first thing you’re gonna say?

443 00:38:44.160 ⇒ 00:38:55.179 Clarence Stone: Yeah, and you want to still get a vibe for them, because, like, for these executives that take long draw, like, sales cycles, what I do is I bait them.

444 00:38:56.100 ⇒ 00:39:00.890 Clarence Stone: I’m the… I’m the most evil, like, hey, look what I built today, check this out.

445 00:39:02.150 ⇒ 00:39:05.759 Clarence Stone: Right? And you just go, like, fuck, why can’t I have that?

446 00:39:06.600 ⇒ 00:39:06.920 Pranav Narahari: Yeah.

447 00:39:06.920 ⇒ 00:39:08.540 Clarence Stone: Come back, because you fucking suck.

448 00:39:08.890 ⇒ 00:39:13.669 Pranav Narahari: See, actually, on this point, like…

449 00:39:14.350 ⇒ 00:39:27.330 Pranav Narahari: I almost feel like Luke and I over-delivered for them a little bit by giving them a demo that they have a link for. And now they can just show everybody, like, I wish we just shared our screen and showed it to them.

450 00:39:27.470 ⇒ 00:39:44.619 Pranav Narahari: Because they love that thing, right? Like, they loved that demo, they’re like, this is exactly what we want. If we just shared our screen, they would have been like, oh, can we see that again? And we share our screen, maybe show that, like, click through it again. But it’s like, no, like, we’re not gonna just give it to you. Even though it’s not even fully functioning, right? It’s just, like, a lovable demo.

451 00:39:44.620 ⇒ 00:39:45.400 Clarence Stone: Yeah. Like…

452 00:39:45.960 ⇒ 00:39:47.750 Pranav Narahari: Did you kind of agree with that?

453 00:39:47.910 ⇒ 00:39:49.870 Clarence Stone: Yeah, I fully agree with that.

454 00:39:49.870 ⇒ 00:39:50.410 Pranav Narahari: bet.

455 00:39:50.860 ⇒ 00:40:01.790 Clarence Stone: But, like, it’s not gonna hurt us, because I’m almost certain now, because, like, I’m very embedded in the AI space now, that we are so far ahead.

456 00:40:02.710 ⇒ 00:40:03.410 Pranav Narahari: Really?

457 00:40:03.410 ⇒ 00:40:07.680 Clarence Stone: I know you don’t feel it, because I haven’t delivered to you guys what I’m working on.

458 00:40:08.440 ⇒ 00:40:09.150 Clarence Stone: Right.

459 00:40:09.540 ⇒ 00:40:13.639 Clarence Stone: But… maybe I’ll share some of that with you, but, like.

460 00:40:13.900 ⇒ 00:40:23.019 Clarence Stone: As soon as we figure out our delivery mechanisms, we are going to be, like, another tier ahead of whatever the market’s able to deliver.

461 00:40:23.600 ⇒ 00:40:30.360 Clarence Stone: And it’s just gonna be a decision point of, do we, like, defer this for another year and try to build it?

462 00:40:30.980 ⇒ 00:40:34.679 Clarence Stone: Right? And risk not being able to do it.

463 00:40:34.780 ⇒ 00:40:36.439 Clarence Stone: Or do we cough up the money?

464 00:40:37.490 ⇒ 00:40:38.300 Pranav Narahari: Mmm.

465 00:40:38.300 ⇒ 00:40:39.040 Clarence Stone: Right.

466 00:40:39.550 ⇒ 00:40:49.229 Clarence Stone: And what Luke can start doing is saying, like, hey, we’re full up on delivery life cycles, like, you need to make a decision. Start having pressure tactics.

467 00:40:49.340 ⇒ 00:40:53.379 Clarence Stone: Just… and then sending them, hey, look at what we have that you don’t.

468 00:40:54.150 ⇒ 00:40:54.540 Pranav Narahari: Yeah.

469 00:40:54.540 ⇒ 00:41:02.420 Clarence Stone: Right? Things that are not, like, direct workflow or examples, but, like, really cool shit. Look what I did today, actually.

470 00:41:02.570 ⇒ 00:41:04.459 Clarence Stone: This is the GitHub.

471 00:41:05.370 ⇒ 00:41:08.169 Clarence Stone: And I told the AI,

472 00:41:08.390 ⇒ 00:41:14.769 Clarence Stone: To give me links for, the files that are spawned off of other files.

473 00:41:16.180 ⇒ 00:41:20.249 Clarence Stone: Right, and if I play this… This is the GitHub growing.

474 00:41:25.360 ⇒ 00:41:30.869 Clarence Stone: And you’ll, like, you’ll see that some of these are slightly linked, but not really yet. Watch.

475 00:41:31.530 ⇒ 00:41:32.500 Clarence Stone: You see that?

476 00:41:32.910 ⇒ 00:41:33.620 Pranav Narahari: Yeah.

477 00:41:39.930 ⇒ 00:41:48.379 Clarence Stone: it’s pretty sick, right? And you just say, like, hey, this is how we work. We used to be independently shipping code, but now we’re working together.

478 00:41:48.740 ⇒ 00:41:53.740 Clarence Stone: And look at us, like, be able to visualize that on a graph. Can you do that?

479 00:41:57.280 ⇒ 00:41:59.680 Clarence Stone: Right? Like, you just bait them.

480 00:42:00.430 ⇒ 00:42:03.170 Clarence Stone: It’s like, this is where I am, this is where you’re not.

481 00:42:05.520 ⇒ 00:42:06.440 Clarence Stone: Okay.

482 00:42:06.600 ⇒ 00:42:07.730 Clarence Stone: It’s sick.

483 00:42:10.060 ⇒ 00:42:16.570 Pranav Narahari: So when they converge like that, that’s meaning that they’re getting linked? Yeah, so… yeah.

484 00:42:16.570 ⇒ 00:42:21.689 Clarence Stone: So… some of these are clusters in the repo, like Playbook.

485 00:42:22.080 ⇒ 00:42:26.809 Clarence Stone: like, Vault, these are clients that pool around.

486 00:42:27.340 ⇒ 00:42:28.020 Pranav Narahari: Hmm.

487 00:42:31.100 ⇒ 00:42:36.419 Clarence Stone: Right? All the other dots are just, like, random files that get added, but it gets, like.

488 00:42:36.620 ⇒ 00:42:41.529 Clarence Stone: Like, you realize that we start to dance around certain topics.

489 00:42:42.050 ⇒ 00:42:42.790 Pranav Narahari: Yeah.

490 00:42:44.130 ⇒ 00:42:51.630 Clarence Stone: Right, and I, you know, like, I sent this to Utam saying, like, we have so much to go, like, if I can play this and everything starts linking, like.

491 00:42:52.260 ⇒ 00:42:54.839 Clarence Stone: people are gonna be cooked. Like…

492 00:42:55.420 ⇒ 00:42:59.390 Clarence Stone: Everybody else’s codebase just looks like a bunch of dots. We have clusters.

493 00:43:00.460 ⇒ 00:43:06.320 Clarence Stone: Are you guys working together? Are you moving towards a shared effort? Are you aligned on your AI strategy?

494 00:43:07.810 ⇒ 00:43:08.730 Clarence Stone: Right?

495 00:43:09.040 ⇒ 00:43:09.640 Pranav Narahari: Yeah.

496 00:43:09.640 ⇒ 00:43:19.659 Clarence Stone: I sent that to my EY buddy, he’s like, oh, fuck, is that your Obsidian? I was like, yeah, I punched the entire GitHub into the Obsidian, and again, you know, like, relationship drafts.

497 00:43:21.610 ⇒ 00:43:22.580 Clarence Stone: Right.

498 00:43:22.580 ⇒ 00:43:23.740 Pranav Narahari: And so…

499 00:43:24.890 ⇒ 00:43:31.109 Pranav Narahari: Basically, what you’re saying also that gets us to the next level is being able to just change our delivery mechanism, right?

500 00:43:31.110 ⇒ 00:43:31.960 Clarence Stone: Yeah.

501 00:43:32.120 ⇒ 00:43:32.480 Pranav Narahari: Yeah.

502 00:43:32.840 ⇒ 00:43:36.570 Clarence Stone: So, like, Utam’s mentality always was to automate and scale.

503 00:43:37.610 ⇒ 00:43:45.880 Clarence Stone: Right? Like, how much can we build in automations for the boring shit that no one ever wants to do anyway? It’s not like we’re taking a job, it’s like, this is extra work.

504 00:43:46.240 ⇒ 00:43:46.950 Pranav Narahari: Right.

505 00:43:46.950 ⇒ 00:43:51.060 Clarence Stone: Right. Well, nobody wants to start an application from zero all the time.

506 00:43:52.460 ⇒ 00:43:57.140 Clarence Stone: Right. But if we just build on top of Cloud Code every time.

507 00:43:57.660 ⇒ 00:44:00.479 Clarence Stone: Like, what do we have that’s special?

508 00:44:00.990 ⇒ 00:44:01.680 Pranav Narahari: Yeah.

509 00:44:02.310 ⇒ 00:44:08.130 Clarence Stone: Right? And on a more deeper technical level, like, I got mad

510 00:44:08.220 ⇒ 00:44:23.500 Clarence Stone: when I started realizing that Claude Code doesn’t give me full agent traces. Like, I don’t know when it makes a tool call, or an MCP call, or a sub-agent, like, what the actual conversation was, it just said, did a tool call, here was the response.

511 00:44:23.780 ⇒ 00:44:24.690 Pranav Narahari: Right.

512 00:44:24.690 ⇒ 00:44:28.939 Clarence Stone: But motherfucker, you took a minute and a half, what was the conversation?

513 00:44:29.250 ⇒ 00:44:30.000 Pranav Narahari: Yeah.

514 00:44:30.540 ⇒ 00:44:32.360 Clarence Stone: I… it doesn’t tell me.

515 00:44:33.550 ⇒ 00:44:40.889 Clarence Stone: Right? So I was like, okay, the only way to do this and get, like, visibility, because my cyber half is like, I need to see it.

516 00:44:41.850 ⇒ 00:44:46.249 Clarence Stone: Right? I need to see what it’s talking about, what these sub-agents are doing.

517 00:44:46.360 ⇒ 00:44:53.690 Clarence Stone: It’s like, oh, I have to build things this way, right? This is what I just randomly learned in, like, January, December.

518 00:44:54.360 ⇒ 00:44:58.239 Clarence Stone: And… apparently, it’s called a fucking harness.

519 00:44:58.920 ⇒ 00:45:02.970 Clarence Stone: Right? Like, and you use someone else’s harness, they can block off what you see.

520 00:45:03.900 ⇒ 00:45:05.969 Clarence Stone: And you have full access.

521 00:45:06.900 ⇒ 00:45:16.420 Clarence Stone: Right? And you can construct context in whatever ways you want. You can construct intent however you want. You can construct, you know, session memories however you want.

522 00:45:17.420 ⇒ 00:45:21.620 Clarence Stone: And once you do that, your outputs are so much better.

523 00:45:22.440 ⇒ 00:45:26.370 Clarence Stone: Right? And these frontier labs are saving that for themselves.

524 00:45:27.860 ⇒ 00:45:28.560 Pranav Narahari: Hmm.

525 00:45:29.440 ⇒ 00:45:31.630 Clarence Stone: Right, so,

526 00:45:31.870 ⇒ 00:45:42.449 Clarence Stone: I guess, like, if you want to dig in deeper, like, this weekend, if you have the appetite to be curious, I highly recommend you install Hermes Agent.

527 00:45:43.130 ⇒ 00:45:43.980 Pranav Narahari: Okay.

528 00:45:44.010 ⇒ 00:45:47.089 Clarence Stone: It is, like, a safer open claw.

529 00:45:48.260 ⇒ 00:45:58.459 Clarence Stone: But it uses nothing from OpenClaw. It doesn’t use any of the core components, it doesn’t even use the memory stack, it is a self-learning agent.

530 00:45:59.170 ⇒ 00:46:01.030 Clarence Stone: It…

531 00:46:01.450 ⇒ 00:46:07.159 Clarence Stone: has, like, the feeling of open claw, like, I showed you the chat, that’s… that’s Hermes Agent. Yeah.

532 00:46:07.390 ⇒ 00:46:08.430 Clarence Stone: But…

533 00:46:09.390 ⇒ 00:46:18.410 Clarence Stone: I was fucking around with it, I changed one character in an API key, and I pasted it in. It’s like, you should never do that. You need to dispose of it.

534 00:46:18.930 ⇒ 00:46:19.940 Pranav Narahari: Mmm.

535 00:46:19.940 ⇒ 00:46:22.540 Clarence Stone: Right? Like, I’m not sending that message.

536 00:46:22.950 ⇒ 00:46:29.179 Clarence Stone: Right? Like… These guys figured out a way to put, like, really good safeguards into the harvest.

537 00:46:29.580 ⇒ 00:46:44.520 Clarence Stone: And they put in this, like, reinforcement loop that doesn’t require direct training. And it’s, like, become an agent, like you just saw in, like, 3 days, where I drop an image in, it’s like, this is what you should have done.

538 00:46:45.600 ⇒ 00:46:54.179 Clarence Stone: Right? Because… like, on Monday night, I said, make a plan to read every single section of the vault.

539 00:46:55.730 ⇒ 00:46:58.820 Clarence Stone: Make an index and reference to everything.

540 00:46:59.900 ⇒ 00:47:10.160 Clarence Stone: Right? And, put it into linear, what your plan is, and broken down. And when you are done with that work, mark it complete and give me what you learned.

541 00:47:10.790 ⇒ 00:47:15.029 Clarence Stone: And then write your full documentation in Obsidian Vault so that it’s graphed.

542 00:47:17.190 ⇒ 00:47:20.750 Clarence Stone: And that’s, like, how I was able to make those relationships.

543 00:47:22.060 ⇒ 00:47:30.999 Clarence Stone: So now, the agent just doesn’t just, like… it won’t be able to recall, like, hey, what did Pranav write in line 3 of this page, but it will know where to find it.

544 00:47:31.750 ⇒ 00:47:32.420 Pranav Narahari: Yeah.

545 00:47:32.420 ⇒ 00:47:45.560 Clarence Stone: Right? And that’s super important for anything else that happens next. It’s also read through and understood the intents and vibes of each of the, you know, Utam and Robert, and can, like, really make those recalls.

546 00:47:46.230 ⇒ 00:47:57.989 Clarence Stone: Right. So that’s, like, not very different from what work is doing, but I just love that, like, so work is at an organization level, Hermes is a personal level.

547 00:47:58.960 ⇒ 00:48:00.070 Pranav Narahari: Right?

548 00:48:00.080 ⇒ 00:48:14.100 Clarence Stone: So it starts to understand how you work and how you want to do things. Every time Hermes says to me, like, or you can just abandon this task, or do it a different way, I’m like, no, go fuck yourself. When I say we want this MCP set up, you do it.

549 00:48:15.080 ⇒ 00:48:18.400 Clarence Stone: Right? The first time I say that, it’s like, I will remember this, I’m sorry.

550 00:48:20.120 ⇒ 00:48:34.080 Clarence Stone: Right? That’s… it’s a different part of, like, versus this. This is, like, organizational logic and understanding, right? Whereas, like, Hermes knows my intents and how I like to work.

551 00:48:35.710 ⇒ 00:48:49.620 Clarence Stone: Right? And when I say things like, do it for me, do it for me, you do it, it just goes, oh, I understand. Can you give me, like, full approval to run high-risk actions? Hit full allow, and I’ll remember this forever for all context.

552 00:48:51.390 ⇒ 00:49:00.149 Clarence Stone: Right. But, like, it… you know, it also can give you this same type of thing. By the way, like, if you saw the copy and paste, it was you.

553 00:49:00.150 ⇒ 00:49:00.550 Pranav Narahari: Yes.

554 00:49:00.970 ⇒ 00:49:01.670 Clarence Stone: And…

555 00:49:01.670 ⇒ 00:49:03.830 Pranav Narahari: Ut showed me this, yeah, Utang said that.

556 00:49:03.980 ⇒ 00:49:06.440 Clarence Stone: How the fuck did it find Robert?

557 00:49:07.090 ⇒ 00:49:09.939 Pranav Narahari: Oh, it mentioned robber, yeah, yeah.

558 00:49:09.940 ⇒ 00:49:15.480 Clarence Stone: Robert’s right. Don’t let the deal get stuck with one person. What the fuck?

559 00:49:16.670 ⇒ 00:49:19.200 Clarence Stone: Whose AI systems can do that?

560 00:49:21.430 ⇒ 00:49:24.699 Clarence Stone: Right? And part of that is just knowing the knowledge base.

561 00:49:25.150 ⇒ 00:49:40.960 Clarence Stone: Right? And, like, Hermes Agent is, at the individual level, able to apply how I leverage this information. This is just doing it at an organizational level. That’s why I was trying to build this intent system, and then, like, I just see Hermes do it better.

562 00:49:42.050 ⇒ 00:49:50.470 Clarence Stone: Right? So… that’s one thing. You’ll really get to understand what context layering is, like, how to, like.

563 00:49:50.590 ⇒ 00:49:57.759 Clarence Stone: how it works and stuff like that. But number two, the coolest thing about working with an agent like this is, like, you just become a really good leader.

564 00:49:59.330 ⇒ 00:50:05.139 Clarence Stone: If you give unclear, unstructured instructions, it will do things you didn’t want it to.

565 00:50:05.490 ⇒ 00:50:06.230 Pranav Narahari: Yeah.

566 00:50:06.800 ⇒ 00:50:11.770 Clarence Stone: Right? And, like, you can be mad about it, but, like, it’s your fault.

567 00:50:12.030 ⇒ 00:50:13.500 Pranav Narahari: Right, totally.

568 00:50:13.750 ⇒ 00:50:22.050 Clarence Stone: So, like, it’s sort of like when you get a new hire, like, you can’t just give them vague instructions, you gotta be like, no, this is how it works, this is why we do it this way.

569 00:50:22.590 ⇒ 00:50:23.200 Pranav Narahari: Yeah.

570 00:50:23.200 ⇒ 00:50:25.480 Clarence Stone: Right? But two days… It’s time in the roll now.

571 00:50:25.480 ⇒ 00:50:29.289 Pranav Narahari: the CSO too, right? Like, the CSO should kind of have that mindset of, like.

572 00:50:29.470 ⇒ 00:50:32.750 Pranav Narahari: Yeah, something goes wrong, it’s your fault.

573 00:50:32.980 ⇒ 00:50:41.890 Pranav Narahari: Yeah, and so… You’re kind of thinking in that same type of vein, and like, the… You…

574 00:50:42.210 ⇒ 00:50:47.530 Pranav Narahari: You have to give the… probably the most amount of context, or not maybe not the most amount of context, but…

575 00:50:47.890 ⇒ 00:50:54.359 Pranav Narahari: Your agent, if you don’t give it the right direction, will do… you should expect it to do the wrong thing.

576 00:50:54.360 ⇒ 00:50:58.679 Clarence Stone: Yeah, and when in life do you get to play in that dojo and actually practice that?

577 00:50:59.060 ⇒ 00:51:00.380 Pranav Narahari: True, yeah.

578 00:51:00.710 ⇒ 00:51:01.790 Clarence Stone: You don’t.

579 00:51:01.790 ⇒ 00:51:05.959 Pranav Narahari: You can literally simulate environments with, with, agents, yeah.

580 00:51:06.350 ⇒ 00:51:13.950 Clarence Stone: Yeah, so if you think about why I’ve really refined my talking points, I know exactly what I want to say.

581 00:51:14.090 ⇒ 00:51:26.019 Clarence Stone: I’m slightly more well-spoken on this topic than I was before. It’s because I’ve had to say this over and over again, enough to teach… so I have 4 of these instances running now.

582 00:51:27.240 ⇒ 00:51:30.240 Clarence Stone: And they just run different tasks for me, they’re on my phone.

583 00:51:30.430 ⇒ 00:51:32.799 Pranav Narahari: Right. It’s a different use case.

584 00:51:32.870 ⇒ 00:51:46.269 Clarence Stone: I’m not sure where it fits into, like, the whole entire lifecycle or, like, ecosystem of products, but I think in the future, they should live on small models and be our little execution assistants.

585 00:51:46.530 ⇒ 00:51:49.530 Pranav Narahari: Right? You can say something like, hey Hermes.

586 00:51:49.830 ⇒ 00:51:53.660 Clarence Stone: Did, you know, these automations run?

587 00:51:55.900 ⇒ 00:51:58.250 Clarence Stone: Review them for me in my perspective.

588 00:51:58.650 ⇒ 00:51:59.280 Pranav Narahari: Yeah.

589 00:51:59.540 ⇒ 00:52:00.960 Clarence Stone: Did it meet my goals?

590 00:52:01.240 ⇒ 00:52:03.739 Clarence Stone: Right, Hermes knows those small things.

591 00:52:04.000 ⇒ 00:52:12.349 Clarence Stone: It’s not going to be as good at psychology or giving you strategy like work is. So what I’m really, like, learning is that there’s so many layers to this.

592 00:52:12.510 ⇒ 00:52:19.099 Clarence Stone: Right? And what we can do in the long run is make these products really irresistible and connected.

593 00:52:19.820 ⇒ 00:52:22.429 Clarence Stone: Right? So that, like, if you want.

594 00:52:22.660 ⇒ 00:52:38.790 Clarence Stone: a personal individual assistant will give you a certain customized flavor of Hermes that has a UI. Right now, Hermes is CLI only. I might be the first person to deploy a UI kit. I’m trying. If I have free time this weekend, I might be the first one to do it.

595 00:52:40.570 ⇒ 00:52:45.189 Clarence Stone: And then, like, if you want it at the organizational level, you buy work.

596 00:52:46.560 ⇒ 00:52:53.809 Clarence Stone: Right? And if you want to do it on your phone, I’m also playing around with a 2 billion parameter model.

597 00:52:59.050 ⇒ 00:53:02.130 Clarence Stone: And the model works on its own.

598 00:53:02.590 ⇒ 00:53:06.759 Clarence Stone: But if we connect it to the cloud, it can send instructions to work.

599 00:53:07.340 ⇒ 00:53:10.769 Pranav Narahari: Is this the thing that’s in the… the brain forge, or…

600 00:53:10.770 ⇒ 00:53:11.680 Clarence Stone: Where’d you go?

601 00:53:11.910 ⇒ 00:53:13.119 Clarence Stone: Yeah, it’s America.

602 00:53:13.520 ⇒ 00:53:13.880 Clarence Stone: Yeah.

603 00:53:13.880 ⇒ 00:53:14.420 Pranav Narahari: Yeah.

604 00:53:14.720 ⇒ 00:53:31.569 Clarence Stone: So, like, part of, like, what, like, our partnership with Tom and I is, like, as soon as I start this, like, you guys are getting everything I’m creating, and I wasn’t joking, I’m the asshole that’s literally pushing the boundaries. I was like, you have this to sell, you have this to sell, you have this to sell.

605 00:53:31.800 ⇒ 00:53:32.500 Pranav Narahari: Yeah.

606 00:53:32.500 ⇒ 00:53:45.809 Clarence Stone: Right? And he’s like, I’m just trying to frickin’ deliver. I’m short-staffed, sorry. Like, that was, like, yesterday’s conversation. I was like, okay, cool, whatever. Like, I’m gonna build you more shit, like, you have no options.

607 00:53:45.930 ⇒ 00:53:48.310 Clarence Stone: So, like, I’m sort of like this…

608 00:53:48.590 ⇒ 00:53:52.620 Clarence Stone: Sales pressure of, like, the frontier is here and you have it.

609 00:53:53.920 ⇒ 00:54:03.850 Clarence Stone: Right? I need to, like, figure out how I can help you guys scale by relieving, like, the pressure from each of you in your day-to-days.

610 00:54:04.190 ⇒ 00:54:08.950 Clarence Stone: And then elevating what we sell into different price brackets.

611 00:54:09.450 ⇒ 00:54:10.420 Pranav Narahari: Right.

612 00:54:10.450 ⇒ 00:54:13.749 Clarence Stone: That way, when I say, hey, here’s something to sell.

613 00:54:13.960 ⇒ 00:54:16.110 Clarence Stone: We can actually sell it and scale it.

614 00:54:16.670 ⇒ 00:54:17.540 Clarence Stone: Right.

615 00:54:18.850 ⇒ 00:54:31.159 Clarence Stone: So, that’s my job, is to figure out velocity and things like that. But that’s the big picture strategy, right? And I genuinely don’t think we’ll be out of work for the next 2 years at minimum.

616 00:54:31.270 ⇒ 00:54:33.750 Clarence Stone: We will be delivering this eventually.

617 00:54:35.350 ⇒ 00:54:38.959 Clarence Stone: Because people don’t have any options.

618 00:54:40.870 ⇒ 00:54:44.279 Clarence Stone: Right? Like, you buy from a Frontier Lab.

619 00:54:44.560 ⇒ 00:54:50.200 Clarence Stone: You buy somebody who’s gonna bill on top of a Frontier Lab, You buy a SaaS.

620 00:54:52.120 ⇒ 00:54:54.080 Clarence Stone: You don’t have any other options.

621 00:54:57.210 ⇒ 00:54:58.130 Clarence Stone: Right.

622 00:55:00.290 ⇒ 00:55:04.329 Clarence Stone: I haven’t seen any… Practical competitor to this model.

623 00:55:05.080 ⇒ 00:55:05.790 Pranav Narahari: Hmm.

624 00:55:07.810 ⇒ 00:55:13.050 Clarence Stone: So, that’s… that’s sort of the… The thought process so far.

625 00:55:13.720 ⇒ 00:55:20.970 Pranav Narahari: Yeah, I mean… It makes a ton of sense, even just, like, from the delivery side of things, like…

626 00:55:22.490 ⇒ 00:55:33.449 Pranav Narahari: or just, like, the package we would sell, just, like, it seems unbeatable, right? Like, we’re gonna build you a… we’re gonna build you a solution that’s already 80% done.

627 00:55:33.740 ⇒ 00:55:36.260 Pranav Narahari: Yeah, that’s just…

628 00:55:36.520 ⇒ 00:55:41.030 Clarence Stone: And the last 20% is your organization, the way you like to work, the things that you want to do.

629 00:55:41.640 ⇒ 00:55:43.489 Pranav Narahari: Right. The way you want to do it.

630 00:55:43.790 ⇒ 00:55:44.450 Pranav Narahari: Yeah.

631 00:55:44.720 ⇒ 00:55:47.640 Clarence Stone: Right? Not just some standard, out-of-the-box shit.

632 00:55:48.820 ⇒ 00:55:49.590 Pranav Narahari: Yeah.

633 00:55:49.790 ⇒ 00:55:54.259 Pranav Narahari: And, like, the… from this end, like, the automation that’s already been…

634 00:55:54.380 ⇒ 00:56:08.099 Pranav Narahari: built are, like, yeah, it’s starting with the skills, but then now it’s also going to the point of, like, with Sam, he’s, like, what Tom was saying is, like, he’s creating these packages of things.

635 00:56:08.200 ⇒ 00:56:18.489 Pranav Narahari: like, services, like an MCP. And so, like, when we’re selling an MCP, we’re like, okay, go down this route. We have these 50 tickets that we do,

636 00:56:18.890 ⇒ 00:56:28.019 Pranav Narahari: And, you know, we plug and play a bunch of these different things that can probably even fill in the gap further from the 80% to maybe, like, 95%.

637 00:56:29.530 ⇒ 00:56:31.060 Clarence Stone: Exactly, and…

638 00:56:31.800 ⇒ 00:56:37.999 Clarence Stone: here’s, I guess, like, the next level. These guys came up with this, I don’t think anyone’s ready for this shit.

639 00:56:38.580 ⇒ 00:56:39.380 Clarence Stone: like…

640 00:56:39.760 ⇒ 00:56:53.420 Clarence Stone: it’s probably some Frontier Labs and people with, like, super crack coders. Like, it’s gotta be, like, 2% on the market that’s ready for this, but basically, this is a dashboard to monitor and manage all your automations and agent flows.

641 00:56:53.930 ⇒ 00:56:54.650 Pranav Narahari: Hmm.

642 00:56:55.130 ⇒ 00:57:02.510 Clarence Stone: And what happens is, you… you effectively, you have a project. You write out all the requirements in linear.

643 00:57:03.130 ⇒ 00:57:09.100 Clarence Stone: And you pick the team, and it automatically assigns work to them, and they work nonstop.

644 00:57:10.120 ⇒ 00:57:15.480 Clarence Stone: And what it looks like, effectively, is, let’s say the CEO says, or the CEO,

645 00:57:15.830 ⇒ 00:57:18.280 Clarence Stone: activity. It’s run by Claude.

646 00:57:18.410 ⇒ 00:57:24.970 Clarence Stone: The CEO says there’s a CTO activity. Cursor runs a plan, and then it goes to Codex or Claude.

647 00:57:26.030 ⇒ 00:57:33.230 Clarence Stone: or CEO says, you have a marketing task. It goes to OpenClaw, connected to, like, all of these data harvesters.

648 00:57:34.510 ⇒ 00:57:41.599 Clarence Stone: Right? And all of these little pieces are automations or messages that we can send to our agents automatically.

649 00:57:43.690 ⇒ 00:57:52.900 Clarence Stone: And if you manage them, they’re just pretty much, like, taking the mission, creating the project goal, creating an agent goal, and subtasks for the agents to do.

650 00:57:54.080 ⇒ 00:57:54.730 Pranav Narahari: Yeah.

651 00:57:55.090 ⇒ 00:58:00.239 Clarence Stone: But it all starts with the skills MD, right? Because the skill is what’s triggering that task.

652 00:58:00.530 ⇒ 00:58:01.690 Pranav Narahari: Right, right.

653 00:58:01.690 ⇒ 00:58:05.679 Clarence Stone: Right? And that agent then uses a series of skills to do that.

654 00:58:06.640 ⇒ 00:58:13.959 Clarence Stone: Right? And if you look at this context stack, that’s exactly what we built in work. At the company level, we have the vault.

655 00:58:14.140 ⇒ 00:58:20.830 Clarence Stone: At the project level, we have a workspace, and the agent goal is the session that you’re having, and the work you’re trying to do.

656 00:58:23.310 ⇒ 00:58:28.039 Clarence Stone: But we, like, what they’re doing here is just removing the person out of this whole picture.

657 00:58:28.980 ⇒ 00:58:37.320 Clarence Stone: Right? Because you have skills that are so repeatable, an agent that’s actually doing things in real time, well, as long as it has the right context stack, it should work.

658 00:58:39.470 ⇒ 00:58:40.789 Clarence Stone: Been super hard, though.

659 00:58:42.060 ⇒ 00:58:42.880 Pranav Narahari: Yeah.

660 00:58:42.880 ⇒ 00:58:43.960 Clarence Stone: Like, I…

661 00:58:44.350 ⇒ 00:58:50.050 Clarence Stone: And, oh, you can even put cost caps and burn rates on it. Like, this is really advanced thinking.

662 00:58:50.470 ⇒ 00:58:51.470 Clarence Stone: And…

663 00:58:51.600 ⇒ 00:58:57.360 Clarence Stone: not many people can actually, like… they might say they use this, but they can’t do it. Like, look.

664 00:58:58.300 ⇒ 00:59:00.489 Clarence Stone: Right? It’s like, deploy pricing page.

665 00:59:01.140 ⇒ 00:59:15.119 Clarence Stone: you say, deploy the updated pricing page, run tests. CTO says, I’m gonna assign that. Alright, here’s the tasks that are done with full agent trace. This full trace cannot come out of certain things. Like, you see that, like.

666 00:59:15.400 ⇒ 00:59:20.569 Clarence Stone: That’s what you see in Cloud Code, or Cursor, but you don’t see the messages inside.

667 00:59:21.180 ⇒ 00:59:23.679 Clarence Stone: I can see the full message.

668 00:59:24.210 ⇒ 00:59:24.850 Pranav Narahari: Hmm.

669 00:59:26.970 ⇒ 00:59:37.420 Clarence Stone: Yeah, it’s sick. Like, this is where we’re going next. And I think, like, it’s probably gonna be 2 or 3 years of, like, nonstop work, and not every company is even gonna be able to do it then.

670 00:59:39.590 ⇒ 00:59:47.859 Clarence Stone: Right? And what does that mean? Like, our future careers are just gonna be making sure that these flows are working, and the agents did what they were supposed to.

671 00:59:48.350 ⇒ 00:59:49.170 Pranav Narahari: Right.

672 00:59:49.170 ⇒ 00:59:56.220 Clarence Stone: Right? Because if we had an 80% solution, we know about the organization’s contacts, we just fill in that 20% with agents.

673 00:59:59.400 ⇒ 01:00:07.030 Clarence Stone: Yeah, so that’s sort of the thinking, and, you know, as soon as we get into that loop, I’m gonna move to hardware.

674 01:00:08.530 ⇒ 01:00:09.590 Pranav Narahari: Yeah, when we started this.

675 01:00:09.590 ⇒ 01:00:10.530 Clarence Stone: We’re not right.

676 01:00:10.960 ⇒ 01:00:13.659 Clarence Stone: So, like, the work doesn’t end.

677 01:00:16.400 ⇒ 01:00:20.239 Clarence Stone: I was like, everyone’s like, AI’s gonna take our jobs. No, I don’t think so, man.

678 01:00:20.990 ⇒ 01:00:23.049 Pranav Narahari: Yeah, there’d be more stuff to do.

679 01:00:23.570 ⇒ 01:00:24.650 Clarence Stone: Yeah. Yeah.

680 01:00:25.470 ⇒ 01:00:36.670 Clarence Stone: So, so, like, skills are the foundation, and then the next level is those agents, and I think working with Hermes will give you a sense of how task execution, based on skills.

681 01:00:37.510 ⇒ 01:00:39.370 Clarence Stone: Is managed at the agent level.

682 01:00:39.640 ⇒ 01:00:40.700 Pranav Narahari: Yeah.

683 01:00:40.900 ⇒ 01:00:48.769 Clarence Stone: Right. And then… and then, like, you can go another layer up with Paperclip and say, I’ve got 4 Hermes agents.

684 01:00:48.960 ⇒ 01:00:55.149 Clarence Stone: I need them to route and do the right thing. This is what I’m testing right now, that’s why I have, like, 4 instances.

685 01:00:55.640 ⇒ 01:00:56.360 Pranav Narahari: Yeah.

686 01:00:58.330 ⇒ 01:00:59.500 Pranav Narahari: Sick, okay.

687 01:00:59.500 ⇒ 01:01:03.599 Clarence Stone: This is the only the future I can see, which is, like, 6 months. It’s kind of crazy.

688 01:01:04.150 ⇒ 01:01:06.959 Pranav Narahari: Yeah, 6 months is not far away.

689 01:01:07.340 ⇒ 01:01:08.110 Pranav Narahari: Yeah.

690 01:01:08.260 ⇒ 01:01:11.280 Clarence Stone: That’s why I kept saying, like, I have so much work I want to do.

691 01:01:11.640 ⇒ 01:01:12.570 Pranav Narahari: Yeah, right.

692 01:01:12.570 ⇒ 01:01:15.109 Clarence Stone: Not over. Like, there’s so much.

693 01:01:17.740 ⇒ 01:01:18.760 Pranav Narahari: That’s sick.

694 01:01:19.080 ⇒ 01:01:20.129 Clarence Stone: Yeah, so.

695 01:01:20.130 ⇒ 01:01:26.549 Pranav Narahari: I mean, I’m gonna… I’m gonna try out Hermes Agent this weekend, for sure, if I don’t have time before, so… I’ll let you know how that goes, yeah.

696 01:01:26.550 ⇒ 01:01:35.359 Clarence Stone: Yeah, give it a shot. If you just want to play with it, I have a VPS set up, so, like, ping me tomorrow. I think, B is in it right now.

697 01:01:35.600 ⇒ 01:01:36.440 Pranav Narahari: Oh, okay.

698 01:01:36.660 ⇒ 01:01:44.409 Clarence Stone: he’s, like, so excited. Like, as soon as I posted it this morning to Utam and him, he’s just like, give it to me.

699 01:01:45.720 ⇒ 01:01:56.089 Clarence Stone: So, maybe I’ll set up a second BPS for everyone. Like, I just think, like, don’t put any company information on it, blah blah blah, just, like, play with it. Learn, like, how it works, because…

700 01:01:56.090 ⇒ 01:01:56.510 Pranav Narahari: Yeah.

701 01:01:56.510 ⇒ 01:02:00.959 Clarence Stone: like, Utam at first was like, dude, like, don’t give him all of this operational power. I was like.

702 01:02:01.530 ⇒ 01:02:04.849 Clarence Stone: He needs to learn, like, what happens with his skills.

703 01:02:06.060 ⇒ 01:02:10.479 Clarence Stone: Right, sure, we’re not gonna put Brain Forge skills in it, let him just run other skills and see what happens.

704 01:02:10.480 ⇒ 01:02:11.520 Pranav Narahari: It’s like if…

705 01:02:11.520 ⇒ 01:02:18.880 Clarence Stone: I’m not… I didn’t get to this level by not playing with this shit. All I do all day is test things.

706 01:02:19.460 ⇒ 01:02:21.750 Clarence Stone: Right? And then you start to get a feel for it.

707 01:02:23.690 ⇒ 01:02:33.310 Clarence Stone: So I think next steps, we should, create an outline, Right? Of, like, a… a… Client profile.

708 01:02:33.830 ⇒ 01:02:38.010 Clarence Stone: What are their near-term goals? What are their wishes, hopes, and dreams?

709 01:02:38.940 ⇒ 01:02:40.050 Clarence Stone: And…

710 01:02:41.450 ⇒ 01:02:51.739 Clarence Stone: try to predict, right, and when that call shows up in transcriptions, you can literally prompt this. You can say, try to predict the product that we can build for them.

711 01:02:52.080 ⇒ 01:02:53.760 Clarence Stone: And demo for them.

712 01:02:54.710 ⇒ 01:02:58.490 Clarence Stone: That would both, one, prove what… that we can do it.

713 01:02:59.660 ⇒ 01:03:03.910 Clarence Stone: And two, convince them That this is what they need.

714 01:03:04.540 ⇒ 01:03:05.290 Pranav Narahari: Yeah.

715 01:03:05.290 ⇒ 01:03:10.709 Clarence Stone: Right? And then, like, when it’s game time, you already know what the psychology is.

716 01:03:11.910 ⇒ 01:03:12.580 Clarence Stone: Right.

717 01:03:14.980 ⇒ 01:03:15.780 Pranav Narahari: Sick.

718 01:03:16.590 ⇒ 01:03:17.740 Pranav Narahari: I like that, yeah.

719 01:03:17.740 ⇒ 01:03:26.469 Clarence Stone: Yeah, but I think it was important for you to know this strategy, because, like, you’re probably like, what the hell am I selling? I’m an AI, like, are we just gonna keep doing cloud wrappers?

720 01:03:27.440 ⇒ 01:03:31.960 Pranav Narahari: Mmm, yeah, I guess… I guess I was getting close to that, yeah.

721 01:03:31.960 ⇒ 01:03:39.639 Clarence Stone: Yeah. You’re like, okay, like, I mean, that’s a purely fine service. We can make a lot of dollars doing it.

722 01:03:39.640 ⇒ 01:03:42.469 Pranav Narahari: Right. And that’s what I told Uta, I’m like, if I am wrong.

723 01:03:42.910 ⇒ 01:03:44.209 Clarence Stone: With all of this.

724 01:03:44.970 ⇒ 01:03:50.669 Clarence Stone: Right? I will just stop and help you hustle these clients and just deliver cloud wrappers for you.

725 01:03:52.310 ⇒ 01:03:54.449 Clarence Stone: Right, but I don’t think I’m wrong.

726 01:03:55.630 ⇒ 01:03:56.650 Clarence Stone: Like, I…

727 01:03:56.650 ⇒ 01:03:57.390 Pranav Narahari: Yeah.

728 01:03:57.630 ⇒ 01:04:04.730 Clarence Stone: Like, I… when people at Sequoia are telling to the whole fucking world.

729 01:04:05.610 ⇒ 01:04:07.930 Clarence Stone: That the product is the service.

730 01:04:08.740 ⇒ 01:04:13.610 Clarence Stone: It actually makes me mad, Pranav, because this dude is telling the strats out loud.

731 01:04:15.290 ⇒ 01:04:21.990 Clarence Stone: Right? And then, like, I look at the comments to see how people are doing it, I was like, you guys still don’t get it.

732 01:04:23.050 ⇒ 01:04:25.000 Clarence Stone: Makes me feel a little bit better.

733 01:04:25.250 ⇒ 01:04:25.960 Pranav Narahari: Yeah.

734 01:04:28.220 ⇒ 01:04:29.150 Pranav Narahari: Yeah.

735 01:04:30.020 ⇒ 01:04:33.990 Clarence Stone: Because, like, imagine we get Paperclip running, like, for all the EP flows.

736 01:04:35.200 ⇒ 01:04:38.459 Clarence Stone: Like, you, you show that, and they’re like, this is our PMO office.

737 01:04:40.000 ⇒ 01:04:40.960 Pranav Narahari: Yeah. Yeah.

738 01:04:40.960 ⇒ 01:04:43.840 Clarence Stone: Like, these guys are cracked. Just give them money.

739 01:04:43.980 ⇒ 01:04:45.470 Clarence Stone: Right?

740 01:04:46.140 ⇒ 01:04:48.729 Clarence Stone: Right? Like, oh, you want to know why we’re so cheap? Here.

741 01:04:50.760 ⇒ 01:05:02.609 Clarence Stone: Right? So, like, these things, these demos I’m building, like, it… one, it gets us out of sticky situations, because they do work, right? But, like, it’s what convinces people that we can do it.

742 01:05:03.460 ⇒ 01:05:04.330 Pranav Narahari: Yeah.

743 01:05:07.160 ⇒ 01:05:07.950 Pranav Narahari: Yeah.

744 01:05:09.900 ⇒ 01:05:10.750 Pranav Narahari: All right.

745 01:05:10.750 ⇒ 01:05:12.670 Clarence Stone: Sounds good?

746 01:05:12.670 ⇒ 01:05:14.090 Pranav Narahari: Sounds good, yeah.

747 01:05:14.090 ⇒ 01:05:33.029 Clarence Stone: Feel free to ping me if you have any questions, would love to see your output on that analysis. Yeah, and then, once we get more information, or you get a date on when, like, we’ll do this the traditional consulting way, where we do a play-by-play, and we have a good bounce back and forth on the presentations, and we’ll sharpen each other, and it’ll be great.

748 01:05:33.280 ⇒ 01:05:35.999 Pranav Narahari: Yeah, perfect. Sounds good, Clarence.

749 01:05:36.000 ⇒ 01:05:36.610 Clarence Stone: Awesome.

750 01:05:36.890 ⇒ 01:05:37.980 Pranav Narahari: Cool. Alright.

751 01:05:38.450 ⇒ 01:05:39.579 Clarence Stone: They can talk.

752 01:05:39.920 ⇒ 01:05:41.599 Pranav Narahari: Yeah, definitely. Talk to you later.

753 01:05:41.600 ⇒ 01:05:42.670 Clarence Stone: Adios!

754 01:05:42.670 ⇒ 01:05:43.290 Pranav Narahari: True.