How to Turn Any Job Into an AI Workflow — Transcript

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1. 0:00AI probably occupies half of my time
2. 0:02right now
3. 0:03in terms of like what I'm thinking about
4. 0:05within the business.
5. 0:11And so
6. 0:18Okay.
7. 0:20Okay, so from a beliefs perspective,
8. 0:22right? Like one of the big shifts that
9. 0:23everybody here has to make is shifting
10. 0:25away from thinking about roles based
11. 0:27growth and expansion
12. 0:29towards workflow based automation.
13. 0:31So
14. 0:33Imagine that you're you're like I want
15. 0:35to hire
16. 0:37I want to hire an editor. All right, I'm
17. 0:38just making this up. I want to hire an
18. 0:40editor.
19. 0:41This is how we used to think about
20. 0:43things. I need to hire an editor so they
21. 0:44can do XYZ.
22. 0:46The way that we all have to think about
23. 0:48our businesses now is that this editor
24. 0:50really was going to do
25. 0:53these four five things, right? And each
26. 0:55of these things should exist
27. 0:59in a workflow. Like the reason that like
28. 1:01and this is the editor does this one and
29. 1:03they're doing this one
30. 1:05in this workflow and maybe they're doing
31. 1:06these three in this workflow. And so
32. 1:09basically you have to go more granular
33. 1:12to the level of like because every
34. 1:13single business if you really think
35. 1:15about it can be connected at the most
36. 1:16intricate level of like this action to
37. 1:18this action to this action to this
38. 1:19action all the way through. Now might be
39. 1:21120 actions that go from
40. 1:23inbound lead to dirt, you know, turf,
41. 1:26whatever, right? And it's getting great
42. 1:29and this is the thinking that most
43. 1:30people won't do which is why they will
44. 1:31lose and why I think a lot of people are
45. 1:32going to get [ __ ] But if you have a
46. 1:33little bit more horsepower and have a
47. 1:34little bit more time to think about
48. 1:36things, that's where instead of saying I
49. 1:38need to hire an editor, you say I need
50. 1:40an agent who just does this and I need
51. 1:42an agent that just does this and an
52. 1:44agent that just does this. And so it's
53. 1:47switching from
54. 1:49again roles to workflows.
55. 1:52And everything just has to be organized
56. 1:53in workflows. And so it's like a very
57. 1:55fun project is thinking like can you
58. 1:57actually draw your entire business in
59. 1:59one linear workflow cuz it does happen
60. 2:01and if you can't draw it how the [ __ ] do
61. 2:03you have a business, right? But it
62. 2:05really starts with like
63. 2:09like the business for us for example
64. 2:10starts with an idea. It sounds silly but
65. 2:12like it starts with an idea. So how does
66. 2:14an idea come to happen?
67. 2:16Well, the what is the workflow around an
68. 2:18idea? For us it would be like okay, um I
69. 2:21check our school community and I look at
70. 2:24what's happening. Okay, that is a
71. 2:26workflow which is
72. 2:28uh search you know search this database
73. 2:32which is school but it could be you know
74. 2:33trends.com or you know one of 10.com
75. 2:36whatever
76. 2:37um where you look at what things are
77. 2:39outperforming in this particular market.
78. 2:41And then it says okay, then it gives you
79. 2:43this list
80. 2:44of the out-performers and then there's
81. 2:46going to be a match between this list
82. 2:48and our competency. So it's like I have
83. 2:51a list of things that I like talking
84. 2:52about. These are the list of things that
85. 2:54people want to hear about. This is the
86. 2:55intersection between those things.
87. 2:57Great.
88. 2:59What does this look like in terms of uh
89. 3:01uh scripting, right? So it's like okay,
90. 3:03we're going to have some sort of
91. 3:04scripting around this.
92. 3:05So I want uh templated ideas. AI does
93. 3:08this. So it gives us
94. 3:09um okay, this is a seven-step whatever
95. 3:12and it has each of the steps underneath
96. 3:14of it and we like great. Now that the
97. 3:15scripting's done
98. 3:17we're going to go into
99. 3:18packaging.
100. 3:20All right, what are going to be the
101. 3:20headlines? What are going to be the
102. 3:21thumbnails?
103. 3:24This is an AI workflow.
104. 3:25And then we're going to get into
105. 3:26production, right? And so all of this is
106. 3:29broken down just so that we can get one
107. 3:30thing to happen which is a click.
108. 3:32Right? But every single element of the
109. 3:34business can be broken down into the
110. 3:36into its constituent workflows. And so I
111. 3:38think the mistake that a lot of people
112. 3:39are making right now with AI is being
113. 3:40like well AI can't do what a human can
114. 3:42do which is obviously [ __ ] but like
115. 3:46you have to train it the way you train a
116. 3:47human.
117. 3:48So saying like well I'm I'm to bring
118. 3:50this this human in and tell them nothing
119. 3:52and expect them to do a good job is
120. 3:53ridiculous, but we're somehow we like
121. 3:55believe that a machine should be able to
122. 3:56do that. But instead of thinking, okay,
123. 3:59this editor or videographer or whatever
124. 4:01it is,
125. 4:02um, actually does 16 actual activities
126. 4:07and each of those activities we have to
127. 4:09take one at a time and we can have an
128. 4:10agent that's trained on that thing.
129. 4:13And so like right now, I Nomadic is
130. 4:14working super hard with Julian on this,
131. 4:16but like
132. 4:17we have so I do like my Hormozi
133. 4:18Hotlines. And so I do a hotline and then
134. 4:21that then goes into, um,
135. 4:24basically an AI thing that does, uh,
136. 4:26that breaks down the the the
137. 4:27transcripts. That's like step one. From
138. 4:29the transcript it then says, okay,
139. 4:31notice when there's different speakers.
140. 4:33All right? So it has to do that two
141. 4:34times. One is notice when
142. 4:36it's Alex versus the other person. So
143. 4:38it's ABAB, imagine I'm A, but then it
144. 4:41eventually switches to ACACAC and then
145. 4:43it goes to ADADAD because there's new
146. 4:47person that I'm on the phone with. So
147. 4:48it's going to say segment first between
148. 4:51when it goes from AB to AC. So great,
149. 4:53now we have 10 underneath clips. From
150. 4:55there, uh, it'll run a separate script
151. 4:57that's like look cuz it's like what
152. 4:59would an editor do? The first thing
153. 5:00you're going to do is clip out the
154. 5:01individual portions. Okay, there's 10
155. 5:02different conversations Alex had. Okay.
156. 5:04Now that we have these 10 conversations,
157. 5:06look through this and try to find the
158. 5:07highest tension moment. And so it'll
159. 5:09read the words and say this is the
160. 5:10highest tension moment. And they great,
161. 5:12start the clip with the highest tension
162. 5:14moment and then get into the rest of the
163. 5:16clip. What else do we want? Remove all
164. 5:18ums and ahs. Great. Now from there, what
165. 5:21are the, um, what data is required in
166. 5:24order to have the insight that Alex
167. 5:25delivers? Only these four points. Great,
168. 5:27collapse the rest. Now export final file
169. 5:30of that.
170. 5:32That's the workflow. And so it's really
171. 5:34just building this on a consistent basis
172. 5:36and continuing to update that prompt
173. 5:37which is literally just like updating
174. 5:38the training for a human being of like
175. 5:40actually do this too, just like you
176. 5:41would with an editor, but doing that
177. 5:43across every function of the business.
178. 5:46So that is like that is the future. And
179. 5:48the nice thing is that with
180. 5:50there's a lot of businesses that
181. 5:52like agencies, for example, have been a
182. 5:54notoriously shitty business
183. 5:56to run.
184. 5:57Um
185. 5:59but in the future, I think they'll be
186. 6:01incredibly lucrative businesses for the
187. 6:03people who are really good with AI
188. 6:04because
189. 6:06the demand for more customers is
190. 6:07infinite.
191. 6:09And so there's like no one's like, "Hey,
192. 6:10what's product market fit for an
193. 6:11agency?" You don't have to ask. People
194. 6:13want customers. It's not hard to like
195. 6:15don't need to ask for product market
196. 6:16fit. The issue is that
197. 6:18the ops around being good at getting
198. 6:20customers is significantly harder. But
199. 6:22if you can operationalize each of the
200. 6:23flows, it becomes much better. And this
201. 6:25is why like
202. 6:27like I'm built for this movement because
203. 6:29it's all about being black and white
204. 6:31with observable behavior. And that's
205. 6:32like what I geek out on. And so this is
206. 6:35where vague language, like machines do
207. 6:37not understand like vague language.
208. 6:38Also, neither do you [ __ ] humans.
209. 6:40Um we just nod our heads because we've
210. 6:42been reinforced for doing so. But this
211. 6:43is where being very specific like, "Hey,
212. 6:45I need you to be more charismatic."
213. 6:46means nothing. We have to say, "I need
214. 6:48you to raise your voice in this way. I
215. 6:49need you to talk faster. I need you to
216. 6:51raise your head when you're speaking. I
217. 6:52need you to nod when the other person's
218. 6:53talking." We have to break it down to
219. 6:54what someone would do. And so, um as
220. 6:57though you were teaching a toddler, you
221. 6:58have to work the same way with a
222. 6:59machine, but the machine never forgets.
223. 7:02Hopefully that answered the question.
224. 7:04>> It does.
225. 7:04>> Okay.
226. 7:06But yeah, this is what I'm thinking a
227. 7:07lot about.
228. 7:10>> So, it starts with a clear process map
229. 7:12or workflow map of the every action of
230. 7:14the business.
231. 7:14>> Exactly. And I would I would start like
232. 7:16start start with the big ideas first.
233. 7:19So, it's like, "Okay, I do I I I have an
234. 7:21idea."
235. 7:22And then I make a script, and then I uh
236. 7:25I shoot it, and then I, you know, then
237. 7:26we we export the clip, and then we edit
238. 7:29it, and then we post it. Okay, that's
239. 7:30the that's the big picture. But
240. 7:33now underneath of each of those, there's
241. 7:34probably six or seven things that
242. 7:36actually happen in order to post it.
243. 7:39It's like, "So, I actually go to this
244. 7:40page. I look at the schedule of what
245. 7:42was, you know, last posted, I add 3
246. 7:44hours to it. I like you just have to
247. 7:46like
248. 7:47one word turns into six six actions. And
249. 7:50it's just continuing down until there's
250. 7:52you can't reduce it anymore, and then
251. 7:53that's what you automate.
252. 7:56>> Do you have a special AI implementation
253. 7:57team to build this?
254. 7:58>> Uh yeah, we have a full dev team. Yeah.
255. 8:00>> Yeah, but there are specifically on this
256. 8:02topic.
257. 8:03>> Yeah. So, I think I think many of you,
258. 8:05especially those of you who are online,
259. 8:08uh an amazing high-leverage hire is just
260. 8:10an AI like an AI automation person.
261. 8:13Um they will not lack for work to do.
262. 8:15Like they can just sit next to teams and
263. 8:17just watch what they're doing and then
264. 8:18just say like I can automate that. I can
265. 8:20automate that. I can automate that.
266. 8:23>> All right.
267. 8:24Is that something that we should do
268. 8:25right now?
269. 8:27>> Yeah.
270. 8:27>> hire?
271. 8:28>> Yeah.
272. 8:29If you have the cash flow for it. Mhm.
273. 8:31>> What is a dev hire run?
274. 8:33>> Mhm?
275. 8:33>> What is that
276. 8:34somebody like that run?
277. 8:36>> Depends on how good they are. I think
278. 8:38though as Lindsay Lohan said it, the
279. 8:39best the limit does not exist. So,
280. 8:42like there there's a there's a
281. 8:44there's a price tag for every level of
282. 8:46skill you want.
283. 8:47But even just somebody who would I would
284. 8:48just consider like a hacker, and I say
285. 8:50hacker like loosely, like somebody who
286. 8:51just duct tapes tools together,
287. 8:53probably like 150 grand a year.
288. 8:58>> And in terms of prioritizing for us,
289. 8:59would you focus on the delivery side
290. 9:01first?
291. 9:02>> I think that you getting um
292. 9:06the elements that we walked through
293. 9:07specifically around the expectation
294. 9:09setting number one,
295. 9:11um
296. 9:12I think CAC expectations number two, and
297. 9:15then the controllables around brand.
298. 9:17Like the the brand controllables, I
299. 9:18think that should be largely automated.
300. 9:21Um because it is automatable. It's
301. 9:23literally pattern detection, which is
302. 9:24like machines do better than humans do
303. 9:26anyways.
304. 9:27And so, what what humans do shitty at is
305. 9:29giving the pattern to recognize. And so,
306. 9:32that's like in terms of like what skill
307. 9:33will you need to be get good at is when
308. 9:36someone says well, this is off brand, be
309. 9:37like what the [ __ ] does that mean? Like
310. 9:39tell me in describables so that
311. 9:41otherwise how am I if you can't tell me,
312. 9:43how am I going to know? So it has to be
313. 9:45in black and white language.
314. 9:50Yeah.
315. 9:51I think for like home services and brick
316. 9:53and mortar, a lot of um
317. 9:56basically all administrative work should
318. 9:58just not really be a thing.
319. 9:59Like, you know, invoicing, matching
320. 10:02billables, like back office for sure is
321. 10:05or like that's already there. Like
322. 10:06that's like now. Um
323. 10:09receivables, that's like now. Like you
324. 10:12don't need to There's nothing there.
325. 10:13Lead nurture,
326. 10:15that's now. Like you don't
327. 10:17Like a lot of stuff's already already
328. 10:18kind of done. The advantage that um
329. 10:21y'all have for in person is that like I
330. 10:23don't know how horses will respond to
331. 10:25robots. So you probably have a little
332. 10:27bit of you probably have a little bit of
333. 10:28security, you know, like
334. 10:30>> [laughter]
335. 10:30>> otherwise you're getting you know, mule
336. 10:31kicks into the into the side of the
337. 10:33stall.
338. 10:35Um
339. 10:35uh
340. 10:37I think that from a landscaping
341. 10:38perspective,
342. 10:40there will be kind of like once Optimus
343. 10:42comes out and you can teach it how to
344. 10:43like mow lawns and [ __ ] like that'll be
345. 10:44a thing for sure. Um
346. 10:47Hm?
347. 10:49Yeah.
348. 10:50Yeah, yeah, I mean it can do it.
349. 10:52Um there'll also be I think like job
350. 10:54specific ones, but most likely I think
351. 10:56the biggest proliferation's going to be
352. 10:57around generalized humanoid robots
353. 10:58because the world is already built for
354. 11:00us. And so like as much as it's like,
355. 11:02you know, I'm sure you've seen like the
356. 11:03like the Zomba of lawn care, so I'm sure
357. 11:06you've seen this things where it's like
358. 11:07you drop around, but like I haven't seen
359. 11:10anyone really take off with that. At
360. 11:11least I haven't seen it. And I think
361. 11:13it's just because like there's too many
362. 11:14unique scenarios, it costs too much like
363. 11:16the cost doesn't make sense yet. Maybe
364. 11:18in three or four generations it'll be
365. 11:20there, but in the meantime the skeleton
366. 11:23key for the world is just the way the
367. 11:24human body works. Door handles,
368. 11:26everything's already built for that. So
369. 11:28it's like as silly as it sounds, it's
370. 11:29like the The already we already built
371. 11:30the world for ourselves. If there's a
372. 11:32robot that can fit underneath the door,
373. 11:34we could make a special purpose robot
374. 11:36that does that, but it's like you'd have
375. 11:37to do that in every door in every
376. 11:38building. Or you just build a [ __ ]
377. 11:40human robot, which is what everyone's
378. 11:41doing.
379. 11:44Yeah, I think I think you're fine for
380. 11:45the short term. The The stuff that you
381. 11:46should be focusing on from an automation
382. 11:48perspective is going to be back office.
383. 11:50Yeah, and there's and the thing is it's
384. 11:52great at that. It's [ __ ] awesome at
385. 11:54it, and you should totally use it for
386. 11:55that.
387. 12:00What about you, AJ?
388. 12:01>> Yeah, like would that be something like
389. 12:02using AR for like the nurture like that
390. 12:05stuff and like
391. 12:05>> 100%.
392. 12:09Right now, voice is almost there. This
393. 12:11is supposed to be the year of voice.
394. 12:13Um it's close. It's not.
395. 12:16There's a lot of tools out there. I
396. 12:17won't make any recommendations cuz like
397. 12:19they change all the time.
398. 12:21Um I would say voice is very close.
399. 12:23Text is there.
400. 12:25>> Yeah, [snorts] I was thinking about like
401. 12:27off hours having
402. 12:29like a voice
403. 12:31like auto auto attendant.
404. 12:34>> I went to a gym
405. 12:35that was local here. It's a It's like a
406. 12:37very exclusive like whatever. I think
407. 12:39it's like 10 grand a year or something
408. 12:40like that. It has like
409. 12:42400 members, and that's the deal.
410. 12:44Um pretty interesting model. But I went
411. 12:47to the site, and it was just a chat
412. 12:48interface. It just said like, "What do
413. 12:49you want to know?"
414. 12:51And so I was like, "Hours." And it was
415. 12:52like, "Here's the hours." And I was
416. 12:53like, "What else do you want to know?"
417. 12:53And I was like, "Membership prices." And
418. 12:55it was like, "Here's the membership
419. 12:56prices." What else do you want to know?
420. 12:57And I was like, "Hmm."
421. 13:00I mean, it should have asked me for my
422. 13:01information, but
423. 13:03it's not perfect It was not well trained
424. 13:04enough.
425. 13:04>> [laughter]
426. 13:05>> Um but like I was like, "This is pretty
427. 13:07slick."
428. 13:11Like why navigate when it just already
429. 13:12has the answers?
430. 13:16Not to get very odd for you guys, but in
431. 13:17the next I would say 12 to 24 months, a
432. 13:19lot of like the UX is going to
433. 13:21disappear.
434. 13:22Like we're not going to be clicking
435. 13:23things.
436. 13:24Like the mouse like what brought
437. 13:27computers into mainstream was a mouse.
438. 13:30Like that was the big innovation was
439. 13:32having a mouse you could point and click
440. 13:33and then all of a sudden people are
441. 13:33like, "Oh, I just want that thing." It's
442. 13:34like click and it worked. And so,
443. 13:37nothing's really kind of happened in the
444. 13:39computational world besides speed and
445. 13:40power and all that stuff, but it's all
446. 13:41been um more of the same.
447. 13:44The next phase shift is that UX
448. 13:45disappears, which is that you just have
449. 13:48an agent that you just talk to.
450. 13:50Right? And you say, "Hey, you know, what
451. 13:51did we do in cash flow last month?" And
452. 13:53you just text it or you say it and it
453. 13:55just answers.
454. 13:56And like the world of CRMs is going to
455. 13:58Like this is this is the next 12 to 24.
456. 14:00Yeah.
457. 14:01Yeah.
458. 14:03>> But don't you think that we are very
459. 14:04into it, but 99% of people are still
460. 14:06>> Yeah. Oh, yeah. I mean, there are legal
461. 14:08firms that use fax machines now. And so,
462. 14:11there's this idea that like, "Oh my god,
463. 14:12the whole world" It's like, "No, just
464. 14:13like always, humans plus technology will
465. 14:16beat humans with inferior technology."
466. 14:18And so, if you learn how to use the
467. 14:19tech, you'll do better. But there will
468. 14:21be people who still have law firms and
469. 14:23use fax machines that will make money.
470. 14:25It's just there will be people who don't
471. 14:26use fax machines that will make more
472. 14:28money.
473. 14:32So, I'm not like an AI alarmist. I think
474. 14:33it's going to take a while, but
475. 14:35um
476. 14:36I do think there's Well, I won't even
477. 14:37get into that, so I'll just stop, but
478. 14:40we just get too much of a future no one
479. 14:41knows anything about.