Valuetainment - “Replacing Themselves With AI” - Claude UNLEASHES Game-Changing Automation Tech

00:00:00.000 So, Anthropic Claw can now use a person's computer to complete tasks as a company looks to create an AI agent that can rival the viral open Claw.

00:00:08.540 Users can now message Claw a task from a phone, and AI GM will then complete that task.

00:00:14.080 Anthropic announced on Monday.

00:00:15.320 After being prompted, Claw can now open apps on your computer, navigate a web browser, fill in spreadsheets.

00:00:22.480 Anthropic said one prompt Anthropic demonstrated in a video post Monday is a user running late for a meeting.

00:00:29.400 The user asked Claude to export a pitch deck as a PDF file in the chat to a meeting invite.

00:00:35.940 The video shows Claude carrying out.

00:00:37.780 Is this the video, Rob?

00:00:38.820 Yes.

00:00:39.100 We're going to show that video here in a minute.

00:00:41.080 The Claude carried out the task.

00:00:43.500 Latest update from Anthropic underscores a push from AI firms to create so-called agents that can anonymously,

00:00:49.620 autonomously carry out tasks on behalf of users at any time.

00:00:53.540 Rob, do you want to show this from the beginning?

00:00:54.900 So, Tom, maybe why don't you narrate over what this is doing right now to explain what's going on.

00:00:59.400 Yeah, what AI is doing is AI is increasing its ability to do tasks.

00:01:05.560 AI is not sitting there impersonating you, sending an email.

00:01:09.160 Maybe someday it will.

00:01:09.880 So what is this doing in the clip?

00:01:11.040 Is it just kind of doing?

00:01:12.260 What it's doing is it's doing what you would do.

00:01:14.580 It opened up your calendar.

00:01:17.460 It's basically doing what an assistant in the Philippines would do over COVID.

00:01:23.380 No, seriously, over COVID, you could basically give assistance proxy to go do things.

00:01:28.380 Start a code task?

00:01:29.760 Did it really say start it?

00:01:30.940 Go back a little bit, Rob.

00:01:32.460 Go back 10 seconds.

00:01:33.940 Look at this here.

00:01:35.120 So start the dev server screenshot, the library page,

00:01:37.720 and send it to me before the demo at 3 p.m., please.

00:01:39.920 On it, starting a code task to run the dev server and grab the screenshot.

00:01:43.460 Press play.

00:01:44.420 Yeah, so it's saying take a screenshot of something on my desk

00:01:47.340 and then send that in the meeting invitation so people could look at that

00:01:52.560 and we can get on a Zoom together and talk.

00:01:55.040 And so it goes and does the task for you.

00:01:57.980 It'll also open – hey, open the spreadsheet and put the following numbers into the last column for today's sales, and then send me the chart that's on the second tab of the spreadsheet.

00:02:09.080 Boom.

00:02:09.480 That's a task.

00:02:10.640 That's not like managing the sales force for you.

00:02:13.940 So what these tasks are doing and what Claude and what AI agents that you could create with OpenClaw are doing – and that's what Courtney is.

00:02:21.200 Courtney is an AI agent or a replicant that I created with OpenClaw on a Amazon EC2 server that I put Ubuntu Linux on,

00:02:31.480 put OpenClawed on it, and then taught her certain skills so that she can do things,

00:02:35.620 so that I can get to the brain work and making the decisions, but the gathering of data, assembling it, I get it.

00:02:41.940 Now, I still check it. I still check it very, very carefully.

00:02:44.740 And now what they're saying with Claude is, hey, if you want Claude to do some advanced tasks like open Excel, drop some things in, open my email, attach this and send it.

00:02:56.880 Courtney does that to Rob.

00:02:58.780 Courtney does a news sweep in the morning that I have right here.

00:03:04.100 It's like, what are Americans reading most based on 30 news outlets in the United States?

00:03:08.840 and the number one story of everything was 15-point plan from Iran

00:03:14.720 that gives all the places that are covering it and how.

00:03:17.580 So that was helpful to us when we think, hey, these are the highest.

00:03:21.040 That's a task.

00:03:22.240 That's a task.

00:03:23.060 So think of the AI agents as doing chores for you

00:03:27.020 so that you can faster get to the work of managing humans around you

00:03:31.780 and making decisions.

00:03:32.800 How much are you using Courtney right now?

00:03:34.460 Courtney does about probably 15 tasks a day.

00:03:39.620 15 tasks a day.

00:03:40.980 Yep.

00:03:41.460 Are you comfortable sharing some of them with the public?

00:03:43.960 Sure.

00:03:44.480 I do an email scan in the morning.

00:03:49.040 What's the prompt?

00:03:49.860 What do you tell the prompt?

00:03:50.860 Well, I've created it as what's called a chronological job.

00:03:55.040 So once I got it right, I say run that job every morning at 7.45 a.m.

00:04:01.700 She goes through all the emails.

00:04:03.080 She looks for anything that's at VT.com and gives me your prioritize, a few other people prioritize.

00:04:10.560 Tell me what those are, and she'll give it to me in a recording so I can listen to it in the car.

00:04:16.180 So she reads me my email summary in the morning.

00:04:20.060 It's a summary, though.

00:04:20.900 It's not reading all the emails.

00:04:22.740 No, I can ask that, but I just want the summary.

00:04:25.500 That's one.

00:04:26.180 Second, it says when Rob sends the summary for the podcast, our stories, I say, hey, can you compare that to the stories that are hot out there that a lot of people are watching?

00:04:39.380 Because we want to give value on the podcast.

00:04:41.820 I'm going to give value on the podcast.

00:04:43.380 So I compare the hottest stories versus the ones we've scanned.

00:04:47.340 Ah, these 10 are really good.

00:04:48.600 And then we do our prep.

00:04:50.500 It usually overlaps.

00:04:52.520 I also ask, I'll say, hey, here is a standard spreadsheet that comes out of our sales reporting system.

00:05:00.100 Here, can you, I have a job that's been created.

00:05:03.240 Do as you always do.

00:05:04.340 Turn this into bar charts so I can give this to Pat so he can easily see the data and he can have a meeting with sales.

00:05:11.640 Guess what?

00:05:12.200 Now nobody is sitting there for 20 minutes making that.

00:05:15.800 So those are the examples of tasks.

00:05:17.760 Can I say something here?

00:05:19.700 Tom, if you're comfortable sharing at this point, Adam's promoted your age many times.

00:05:23.560 How old are you, Tom?

00:05:24.500 I am 63.

00:05:26.060 Okay.

00:05:26.660 And I look younger, thank you very much, but sorry, ladies, I'm married.

00:05:30.140 Yeah, so 63, married, and his mistress's name is Courtney, who is not a real person, okay?

00:05:37.500 But check this out.

00:05:39.200 You're 63 years old.

00:05:42.300 Let's go to the 80% of 63-year-olds.

00:05:45.660 What does the 80% of 63-year-olds do?

00:05:48.300 Getting excited for retirement.

00:05:50.140 Get excited for retirement.

00:05:51.760 Yeah, two more years.

00:05:52.680 That's what they say.

00:05:53.100 Here's a guy at 63 with all the tasks that he has.

00:05:57.120 The other day he's at the airport at 345 with his daughter who just went back

00:06:00.820 and he's ready to come to the podcast.

00:06:02.700 So that means if he's at the airport at 345, what time do you think they got up that day?

00:06:07.260 Two.

00:06:07.580 Two o'clock.

00:06:08.280 He had a full work day until 9, 10 o'clock at night.

00:06:11.060 Not one complaint about anything.

00:06:13.760 Crushed the podcast.

00:06:15.180 Goes and is learning how to identify these tasks. 0.71

00:06:18.520 That's what I mean by at any generation.

00:06:22.020 If Tom was born in any generation, Tom would have been a value add to that society.

00:06:28.340 That's the part.

00:06:29.300 So what I'm trying to say is don't tell me you're 63 years old.

00:06:31.980 This is for the kids.

00:06:33.100 Don't tell me you're 22 years old and no, this is for the 63-year-olds.

00:06:36.820 No, this is for anybody and everybody.

00:06:39.240 This is for you take the time to – thank you, Alicia.

00:06:41.420 You take the time to go learn about what's going on.

00:06:44.500 Look at the way Tom just flat out explained what he's doing with it every day.

00:06:47.600 How much time is that saving you from what you put into this?

00:06:52.120 I believe that I have already found about four or five hours a week, which is huge.

00:06:56.920 And how much time did you put into it to learn how to do all of it?

00:07:01.380 I started when it was called, you know, Claudebot, then Moltbot.

00:07:07.280 So I was in Aspen when we were on vacation, reading about it and creating the primitive basics of it at that time.

00:07:15.080 How many total hours into it?

00:07:16.800 I probably spent about 40 hours getting it up and going,

00:07:19.620 and now I've honed it and honed it and honed it.

00:07:22.960 80 hours total?

00:07:24.000 Yeah, probably 80, probably a couple hundred because I like to read.

00:07:27.300 Perfect.

00:07:27.660 So a couple hundred, but it's giving you back five hours a week.

00:07:32.000 Five hours.

00:07:33.200 And quality decisions of what comes out.

00:07:35.200 Five hours, better performance, better quality.

00:07:37.760 What is five hours given back to you over five years?

00:07:40.940 Think about that.

00:07:42.320 Five hours every week.

00:07:43.560 that's 50 weeks, 255 years, 1,250 hours given back to them.

00:07:48.040 It's pretty cool.

00:07:48.620 Yeah, it's sick.

00:07:49.260 To see that taking place.

00:07:50.680 Barry, are you doing anything?

00:07:52.880 I'm a fellow baby boomer as well.

00:07:55.520 That's why we were so defensive.

00:07:56.960 You look good.

00:07:58.500 The two of us were like, you know, wait a second.

00:08:00.620 We're not pillaging anybody.

00:08:03.240 We didn't rip you off.

00:08:05.800 So we use AI a lot in our company.

00:08:08.300 In Highway, we use AI a lot.

00:08:09.940 I use AI all the time.

00:08:11.420 obviously pat you know i've had a uh medical um challenge that you know i'm still still dealing

00:08:16.940 with but thank god we're we're in a better place now but as i as i went through it literally i

00:08:22.860 would i would talk with uh with ai um hours a day to try and and learn and what what winds up

00:08:30.540 happening for your health for health yeah for health so what wound up happening is that i'd

00:08:34.380 speak with physicians they'd all ask me if i were a physician but you but you also have to be very

00:08:38.380 careful because i like what tom said with these agents and when you use them they don't always

00:08:43.260 get it right you you have to constantly fine-tune and you have to know which question it says you

00:08:47.420 can't accept the responses as as okay blindly that's why i love what he said i check everything

00:08:54.220 and that's that's a big big part of it you have to check everything that's that's the key

00:08:58.700 i love it uh brandon yeah are you are you currently yourself you're 30 did you turn 31 or

00:09:03.020 or you're 31 okay how how are you using your language learning models right now while you're

00:09:08.340 building your consulting business yeah oh no a ton like it's helping with everything like you

00:09:12.280 plug into money.com you can plug in the excel sheets you could um like all types of admin

00:09:16.620 tasks how many hours a week do you use language learning models hours a week uh i'd say it's part

00:09:21.980 of my every day so probably like cumulatively like maybe three hours a day i'm interacting with it

00:09:26.480 so 21 hours a week yeah give or take every day including saturdays and sundays all right because

00:09:31.180 yeah i work every day got it but um but yeah no definitely it expands the the amount of things i'm

00:09:35.820 able to do so much like i'm able to probably do like a whole day's worth of work within one hour

00:09:40.540 or two hours because of it yeah and by the way if you're watching this right now and i'm just being

00:09:44.740 straight up with you if i want to give you a challenge okay here's a challenge if you're

00:09:49.840 watching and saying holy shit what did just tom say manectom go ahead and manectom tom will share 0.88

00:09:56.300 that knowledge with you and by the way you can cold email people nowadays or dm them and 0.97

00:10:00.820 they got thousands of messages people can't get back to you but if you pay for it they'll get

00:10:04.880 back to you that's the whole purpose of Menech Menech Tom and say Tom what are you doing with

00:10:09.100 Claude and how can I use it for myself maybe schedule a call with Tom on Menech and if you

00:10:13.320 have questions for Brandon or Barry everybody here is on uh Menech as well we'll be announcing

00:10:18.580 something a little bit crazy in a couple weeks about Menech that has to do with uh has to do

00:10:26.680 with going to the World Cup finals,

00:10:28.600 which are like $30,000, $40,000 tickets.

00:10:30.760 But anyways, please don't repeat that to anybody else.

00:10:33.580 I'm just sharing it with you.

00:10:34.560 I don't want anybody to know except the five of us

00:10:36.020 that are here together watching this

00:10:38.280 and the couple of you that are watching this right now

00:10:40.160 out there in the YouTube world and Spotify world.

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00:10:48.200 who have not subscribed.

00:10:49.920 We'd like to take PBD Podcast to 5 million subscribers.

00:10:53.380 We're at 2.9 million right now.

00:10:54.900 We're going to have something we'll announce here soon.

00:10:56.680 And we'd like to take Valuetainment to 10 million subscribers.

00:10:59.580 We're currently at 7.16 million subscribers.

00:11:03.100 So if you haven't yet, if you enjoy what we do, you support the conversations that we have,

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00:11:11.060 And last but not least, if you're a full-stack developer, if you're a good editor,

00:11:15.700 if you're somebody with an MBA, if you're somebody that's been in the consulting side,

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00:11:29.160 And we got some good news on how high we can go on the building that we're going to build here to house a couple thousand employees.

00:11:34.440 We're hiring aggressively.

00:11:35.780 Rob, if you want to play the clip for some people that just think this is a podcast, there's a lot of stuff that's going on here.

00:11:40.140 Go for it and play this clip.

00:11:41.620 Many times when people think about Valuetainment, all they think about is a podcast.

00:11:44.920 But it's a lot more than that.

00:11:46.320 It's nine companies working together on an 11-acre campus.

00:11:49.940 If I was to give you a virtual tour here, you'll see the HR department hiring, talent acquisition.

00:11:55.200 We have full-stack developers that are working on Manac and hire metrics.

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Valuetainment - March 26, 2026

“Replacing Themselves With AI” - Claude UNLEASHES Game-Changing Automation Tech

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