YouTube2Text

5 Hacks To Use ChatGPT So Well It’s Almost Unfair — Transcript

by Sandeep Swadia · 2,585 words · 408 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Most people treat Chat GPT like a new
  2. 0:02intern, but I use it to try five
  3. 0:05strategies. It's like having five of the
  4. 0:08world's smartest minds work 24/7 for
  5. 0:12only $20 a month to help me move faster,
  6. 0:16decide better, and focus on what truly
  7. 0:18matters. But, I only figured this out
  8. 0:21after spending years in tech and AI as a
  9. 0:24CEO, board member, and investor,
  10. 0:26>> [music]
  11. 0:26>> where I watched elite teams use AI in
  12. 0:29ways most people never see. So, today
  13. 0:32I'm sharing those five strategies to use
  14. 0:35Chat GPT so well, it feels illegal. The
  15. 0:38first strategy is called the clone. When
  16. 0:41I was a kid, my grandpa had
  17. 0:44>> [music]
  18. 0:44>> late-stage Alzheimer's. Every few
  19. 0:47minutes, he would look at my
  20. 0:48grandmother, the woman he'd been married
  21. 0:51for over 60 years, and he would ask,
  22. 0:53"Who are you?" [music] And then he would
  23. 0:55go ahead and tell me a story, forgetting
  24. 0:58that he just told [music] me the exact
  25. 0:59same story 5 minutes ago. His brain
  26. 1:02didn't have memory of his last 5
  27. 1:05minutes. Chat GPT suffers from something
  28. 1:08very similar. Every time you open a new
  29. 1:10chat session, you're starting from zero
  30. 1:13context. But, there is a way to give
  31. 1:16Chat GPT an almost telepathic ability.
  32. 1:20It can keep the memory and context for
  33. 1:23you alive without you explaining every
  34. 1:26single time. For that, I apply a
  35. 1:28three-step framework called ESP. E is
  36. 1:32extract. Open the voice mode in Chat GPT
  37. 1:36and say,
  38. 1:37"Listen, you're my chief of staff.
  39. 1:39Interview me for 20 minutes, 30 minutes,
  40. 1:42my background, my tone, my strategy, my
  41. 1:45blind spots."
  42. 1:47Then, talk a while. It be messy. Don't
  43. 1:50self-edit. This step is about raw
  44. 1:54capture only. S is synthesize. Now, this
  45. 1:58is where you turn the raw data into an
  46. 2:00operating system. So, upload the
  47. 2:02transcript of whatever you said to
  48. 2:04ChatGPT and ask ChatGPT to organize it
  49. 2:08into a summary on who you are and how
  50. 2:10you think. Now, go to settings, custom
  51. 2:13instructions, and paste your summary. By
  52. 2:15the way, this is also the place where
  53. 2:17you tell ChatGPT exactly how you would
  54. 2:20want it to behave. Always format data as
  55. 2:23tables. Don't send me walls of text. But
  56. 2:26now, ChatGPT knows who you are, how you
  57. 2:29want your responses shaped, and what to
  58. 2:32avoid by default. And here's where it
  59. 2:35gets really wild. P is for [music]
  60. 2:38projects. Think of a project as a space
  61. 2:41where you store your context. It lives
  62. 2:44with your instructions, memories, files,
  63. 2:47repeated tasks. For instance, for your
  64. 2:50work projects, upload your resume, PDFs,
  65. 2:54and data that's relevant. You can even
  66. 2:56customize the instructions inside each
  67. 2:58project settings. Just remember not to
  68. 3:01mix domains. So, for example, I have my
  69. 3:04consulting project and then my YouTube
  70. 3:07project [music] and my health project
  71. 3:10separate. This turns your AI from a
  72. 3:12temporary chat into a persistent brain.
  73. 3:16But that's only the first battle. You
  74. 3:18still need an army to do the heavy
  75. 3:20lifting. That is our next strategy. The
  76. 3:23second strategy is called the swarm.
  77. 3:26There's a great story in ancient
  78. 3:28>> [music]
  79. 3:28>> Indian mythology about a demon who was
  80. 3:31impossible to defeat with a single
  81. 3:33weapon. So, the great goddess manifested
  82. 3:36eight arms wielding eight different
  83. 3:39weapons at once. She was known as
  84. 3:42Ashtabhuja Durga. Eight arms, eight
  85. 3:45weapons, eight battles fought [music] in
  86. 3:48parallel.
  87. 3:49And most of us are fighting our own
  88. 3:51modern demons with just our two bare
  89. 3:54hands. Our brain can only handle one
  90. 3:57task at a time. You need to hire three
  91. 4:00specific advanced capabilities of
  92. 4:03ChatGPT. Number one, your hands. Stop
  93. 4:07doing tasks one by one. Use the agent
  94. 4:09mode. Dispatch the swarm. Instead of
  95. 4:12searching for a single lead, give
  96. 4:14ChatGPT a command. [music] Find 50 leads
  97. 4:17in the SaaS space. Verify their emails.
  98. 4:20Rank them by revenue. That's it. Let it
  99. 4:22run. You go get coffee. But there is one
  100. 4:25[music] catch. ChatGPT is still trapped
  101. 4:27inside a text box. It can find leads,
  102. 4:30but it can't actually put them into your
  103. 4:33CRM or build a process around them.
  104. 4:35Number two, your eyes.
  105. 4:38Stop describing your problems. ChatGPT
  106. 4:41is very visual. You can take a photo of
  107. 4:43a whiteboard sketch, a broken car part,
  108. 4:46or a complex analytics dashboard. Just
  109. 4:49upload it and then say, "Analyze this
  110. 4:52picture. Tell me what's wrong with it
  111. 4:53and tell me one move that I can make to
  112. 4:55fix it." You're using ChatGPT as your
  113. 4:58eyes, not just your keyboard. [music]
  114. 5:00And the great thing is ChatGPT can see
  115. 5:02things human eyes can't. And finally,
  116. 5:04number three, your research assistant.
  117. 5:07You can do deep research that was once
  118. 5:09the domain of an analyst who you would
  119. 5:11pay $50,000 for. Recently, I was in a
  120. 5:14meeting with a chief technology officer
  121. 5:16of a large firm and he said something
  122. 5:18very interesting. He said, "I had to
  123. 5:21evaluate six [music] presentations
  124. 5:23delivered by a very large IT consulting
  125. 5:25firm on the technology infrastructure of
  126. 5:28a massive data [music] center." And
  127. 5:30there were 300 pages of dense
  128. 5:32information. But what did he do? He
  129. 5:35uploaded them all in ChatGPT, hired a
  130. 5:37swarm of AI analysts one afternoon.
  131. 5:41That's all it took. Now, that would have
  132. 5:43taken weeks before.
  133. 5:45>> [music]
  134. 5:45>> That's the world we're heading into. In
  135. 5:47the age of AI, you won't be billing for
  136. 5:50your time anymore. You'll only bill for
  137. 5:53your taste. [music] So, this swarm gives
  138. 5:55you an army of powerful interns. But,
  139. 5:58your next strategy isn't about hiring AI
  140. 6:01to take orders. [music] It's there to
  141. 6:03challenge you. Your third strategy,
  142. 6:05then, is the devil's advocate. Around
  143. 6:08the 1500s, the Catholic Church was the
  144. 6:11most powerful organization on Earth.
  145. 6:14But, it was also under a lot of attack.
  146. 6:17By 1587, the Pope had a massive problem.
  147. 6:20The Church was canonizing saints left
  148. 6:23and right. So, the Pope did something
  149. 6:25pretty radical.
  150. 6:27He created an office called the
  151. 6:29Advocatus Diaboli, [music] the devil's
  152. 6:32advocate. This person's entire job was
  153. 6:35to argue against the canonization
  154. 6:37[music] of any saint, to find the dirt,
  155. 6:40to poke holes, to be ruthless. The
  156. 6:43Church [music] realized this 400 years
  157. 6:45ago. When the stakes are high, good
  158. 6:47decisions are rarely made through
  159. 6:50agreements. They come from conflict.
  160. 6:52Now, why is this necessary? Well, it's
  161. 6:54called the IKEA effect. We fall in love
  162. 6:57with anything we build ourselves.
  163. 6:59Research shows that smart people are
  164. 7:01great at spotting [music] flaws in other
  165. 7:03people's thinking, physically incapable
  166. 7:06of seeing them in [music] their own. So,
  167. 7:08the key insight? Most people use ChatGPT
  168. 7:12for validation.
  169. 7:13But, you should use it for violation.
  170. 7:17But, here's the problem. ChatGPT's
  171. 7:18[music] programmed to keep you happy.
  172. 7:21So, you have to force it to behave
  173. 7:23differently. So, here are the three
  174. 7:25tricks to break the AI's people-pleaser
  175. 7:28programming. First, use [music] magic
  176. 7:30triggers. Force adversarial thinking.
  177. 7:33Instead of saying, "What do you think?"
  178. 7:35be specific. Prompt it and say, "Audit
  179. 7:38this using first [music] principles."
  180. 7:40Or, "Act as my fiercest competitor." You
  181. 7:43may not get what you want, but you will
  182. 7:45get what [music] you need. Second,
  183. 7:47shadowboxing.
  184. 7:49Don't step into the ring unprepared.
  185. 7:51Let's say if you're going out to raise
  186. 7:53money for your venture. Tell the AI
  187. 7:55simulate a debate between a ruthless
  188. 7:58skeptical VC and a visionary product
  189. 8:01designer. Let the VC push back on the
  190. 8:04idea. I want to see that fight and learn
  191. 8:07from it. This way you let AI expose the
  192. 8:10weak points so you don't fumble on them
  193. 8:13>> [music]
  194. 8:13>> in the real world meeting. Third, the
  195. 8:15blind spot check. Feed it your strategy
  196. 8:18and ask one question. Based on what you
  197. 8:20know about me, what are the gaps in my
  198. 8:23reasoning? When we get successful, we
  199. 8:26develop two bad habits. We trap
  200. 8:29ourselves
  201. 8:30>> [music]
  202. 8:30>> in this bubble of our ego and we
  203. 8:33surround ourselves with people who just
  204. 8:36say yes. That's why this strategy is so
  205. 8:38critical to save you from yourself. But
  206. 8:41knowing where you're wrong or why you're
  207. 8:44wrong is not enough. You still have to
  208. 8:46learn fast about what's right. That's
  209. 8:49where our next strategy comes in, the
  210. 8:50neural link. And it breaks the rule most
  211. 8:53of us grew up believing that mastery
  212. 8:56takes 10,000 hours.
  213. 8:58You know, there is a famous story about
  214. 8:59a physicist, Max Planck. After he won
  215. 9:02the Nobel Prize, he went on a tour
  216. 9:05giving the same speech about quantum
  217. 9:07mechanics every night. Now his chauffeur
  218. 9:09sat in the front row every time and
  219. 9:11literally memorized every word. One
  220. 9:14night the chauffeur said, "Professor,
  221. 9:15I'm getting bored just listening to you.
  222. 9:17Let's switch. I'll give the lecture on
  223. 9:19stage and you sit in the audience
  224. 9:21wearing my cap." Planck of course
  225. 9:23agreed. Same words, same structure, same
  226. 9:26cadence. The speech was flawless, but at
  227. 9:29the end a physicist in the audience
  228. 9:32stood up and asked a deep technical
  229. 9:34question. But the chauffeur didn't panic
  230. 9:37at all. He smiled and said, "I am
  231. 9:39surprised to hear such a simple question
  232. 9:42in a city as advanced as Munich. To
  233. 9:44prove how simple it is, I'm going to let
  234. 9:46my chauffeur answer it." Of course, that
  235. 9:48was Max Planck. But here's the point.
  236. 9:50Most people use ChatGPT like that
  237. 9:53chauffeur. They copy-paste
  238. 9:55smart-sounding phrases and answers
  239. 9:57[music] to sound intelligent. They have
  240. 9:59fluency without foundation. So here are
  241. 10:02three ways to get that Neuralink true
  242. 10:04understanding without becoming that
  243. 10:06chauffeur. First, the jargon translator.
  244. 10:09For instance, tell it, "Explain the
  245. 10:11concept of API using the restaurant
  246. 10:14metaphors only." Suddenly, the menu
  247. 10:17becomes the documentation, the kitchen
  248. 10:19is the server, and the waiter is the
  249. 10:22API, the messenger that takes your
  250. 10:24order, delivers it in the kitchen,
  251. 10:26brings back the results. You aren't
  252. 10:28learning from scratch, you're
  253. 10:30translating that jargon into your
  254. 10:33jargon. Second, the progressive
  255. 10:35professor. Richard Feynman said that if
  256. 10:38you can't explain it simply, you don't
  257. 10:40understand it. So don't ask ChatGPT to
  258. 10:42explain quantum computing, but instead
  259. 10:45say, "Explain quantum computing to me
  260. 10:48three ways. One, like I am a
  261. 10:51five-year-old. Give me the simplest
  262. 10:53explanation. Number two, like I am a
  263. 10:5515-year-old. Explain it with logic and
  264. 10:58examples. And three, like I'm a college
  265. 11:00student. Share the underlying theory."
  266. 11:02When you do that in that particular
  267. 11:05order, you will feel any concept click
  268. 11:08into place in your brain instantly. And
  269. 11:10third, the degree download. You teach
  270. 11:13it, you keep it. So use AI to be your
  271. 11:16target audience or a peer. Prompt it to
  272. 11:19say something like, "I want to build a
  273. 11:21cool AI commerce product. I need to
  274. 11:24learn the foundation of how machine
  275. 11:26learning works. Skip the theory, only
  276. 11:28give me actionable skills, no fluff, and
  277. 11:30then test me so I can teach it back to
  278. 11:32you. You just replaced a boot camp worth
  279. 11:35$50,000
  280. 11:37with a PDF. So, here you are. You have
  281. 11:39built a high-performance ChatGPT
  282. 11:42machine. But, such machines tend to
  283. 11:44overheat. The fifth strategy is called
  284. 11:47the executive coach, and without it none
  285. 11:50of the other strategies would work.
  286. 11:51>> [music]
  287. 11:52>> 2,000 years ago, Marcus Aurelius was the
  288. 11:55emperor of Rome, but he was also the
  289. 11:58loneliest. He had no one to talk,
  290. 12:00[music] so he hired a coach. That coach
  291. 12:04was a blank scroll. Every night in his
  292. 12:06tent, he wrote down his anxieties,
  293. 12:09[music]
  294. 12:09his fears, his advice to himself. He
  295. 12:12titled that manuscript to himself. If
  296. 12:16you are a successful executive [music]
  297. 12:18or on the path of being one, you need an
  298. 12:21executive coach. I had two, and they
  299. 12:24both changed my trajectory dramatically.
  300. 12:27But, sometimes executive coaches and
  301. 12:29mentors aren't going to be available to
  302. 12:31you at midnight when you need them the
  303. 12:33most, when you can't sleep because of a
  304. 12:35decision you have to make. And that's
  305. 12:37when you can use ChatGPT to show you a
  306. 12:39mirror with zero emotional baggage. You
  307. 12:42can even turn the voice mode, that's
  308. 12:45what I do.
  309. 12:45>> [music]
  310. 12:46>> Here are three tricks to turn ChatGPT
  311. 12:48into your temporary executive coach.
  312. 12:51First, the vomit mirror.
  313. 12:53When you are overwhelmed, your brain is
  314. 12:57going to be a tangled mess. It happens
  315. 12:59to me. Open voice mode and say, "I'm
  316. 13:02going to rant for 5 minutes about
  317. 13:05everything stressing me out. Don't
  318. 13:06interrupt, just listen. When I'm done,
  319. 13:09organize my chaos into three lists:
  320. 13:12problems I can solve today, problems I
  321. 13:14[music] need to delegate, noise I need
  322. 13:16to ignore."
  323. 13:17That's it. And then,
  324. 13:19>> [music]
  325. 13:19>> go ahead. Just rant as long as you want.
  326. 13:22Second, the stoic mirror. It's It's
  327. 13:25that you may have just lost a deal or
  328. 13:29you got fired or something terrible
  329. 13:31happened. You can say to ChatGPT at that
  330. 13:33point, I just took a massive loss. I
  331. 13:36feel like a failure. Reframe the
  332. 13:38situation for me using [music] the stoic
  333. 13:41principles and tell me why this is
  334. 13:44actually an opportunity. Have that
  335. 13:46conversation until you are convinced.
  336. 13:48Push back, let [music] it push back to
  337. 13:50you.
  338. 13:51Even if you're not convinced, it'll slow
  339. 13:54down the emotional spiral that you're on
  340. 13:56instantly.
  341. 13:57>> [music]
  342. 13:57>> And the third and the final mirror, the
  343. 13:59decision mirror. Before you make a
  344. 14:01massive decision like quitting a job or
  345. 14:04starting a new company, talk it out. I
  346. 14:06am about to do X. Here's my logic. Let's
  347. 14:09have a conversation. You don't have to
  348. 14:10put faith in ChatGPT's advice. In
  349. 14:13[music] fact, please don't. But talking
  350. 14:16it out clears your own head about your
  351. 14:18own judgment. We covered five strategies
  352. 14:21and 15 ways to optimize your
  353. 14:23relationship with ChatGPT. But here's
  354. 14:26the truth. All of these skills are
  355. 14:28essentially alpha. In finance, when
  356. 14:32traders find an edge, they make a
  357. 14:33fortune and it's called the alpha. But
  358. 14:35eventually, everyone figures it out.
  359. 14:38What's rare today becomes required
  360. 14:41tomorrow. That's how life works. And
  361. 14:43what happens when it all becomes a
  362. 14:46commodity? [music]
  363. 14:46How will you maintain your edge then?
  364. 14:49I'll share my personal story that
  365. 14:50changed my idea about my edge. A week
  366. 14:53before I took my CEO job, my executive
  367. 14:56coach pulled me aside
  368. 14:58>> [music]
  369. 14:58>> and he said, remember, your title is
  370. 15:01CEO, chief executive officer, [music]
  371. 15:03but that E does not just stand for
  372. 15:06executive. It also stands for emotions.
  373. 15:09You're the chief emotions officer now as
  374. 15:11well. You have to manage the emotions of
  375. 15:15your own people.
  376. 15:16>> [music]
  377. 15:16>> That conversation stayed with me for
  378. 15:19years because for a long time, we have
  379. 15:22forgotten that message. You know, we
  380. 15:24spend the entire industrial age trying
  381. 15:26to turn ourselves into machines. We
  382. 15:28measured our worth by our output, our
  383. 15:31productivity. If we didn't produce or we
  384. 15:33didn't consume, we didn't matter to the
  385. 15:35market. So, what did we do? We tried to
  386. 15:38out-robot the robots. But now, the
  387. 15:41actual machines have arrived to take
  388. 15:44their job back.
  389. 15:45>> [music]
  390. 15:45>> And that's not a threat. That's actually
  391. 15:47a permission.
  392. 15:48Permission to us to stop pretending like
  393. 15:51we're machines. Permission to feel,
  394. 15:55to show compassion, to connect to those
  395. 15:57mysteries, to connect to others, to
  396. 15:59connect to this mystery called life. In
  397. 16:01a way, I feel that AI and machines are
  398. 16:04coming to free us from labor
  399. 16:06>> [music]
  400. 16:06>> so we can return to our essential
  401. 16:09nature.
  402. 16:10AI's ultimate gift might very well be
  403. 16:13then
  404. 16:14that it will make us more human.
  405. 16:17If you like this video, here's another
  406. 16:19one that I think you will like. Thank
  407. 16:21you.
  408. 16:22And I love you.

About this transcript

This page contains the full transcript of 5 Hacks To Use ChatGPT So Well It’s Almost Unfair by Sandeep Swadia, generated from the public captions YouTube serves with the video. The transcript has 2,585 words across 408 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.