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Forget Prompt Engineering. Loop Engineering Is the New AI Skill That Replaces It. — Transcript

by Vaibhav Sisinty · 2,734 words · 392 segments · language en · Watch on YouTube

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0:00For the last 2 years, you've been doing
0:01a job you didn't even know you had.
0:03Every single time you used AI, you were
0:05doing [music] it. Let me show you what I
0:06mean. Picture it. You open ChatGPT, you
0:09type a prompt, and you wait. The answer
0:11comes back, so you read it, you check if
0:13it's any good, you fix the parts that
0:15aren't, and you type again. And then you
0:17do it again. And when you come back the
0:18next day, you've got to explain the
0:20whole thing to it all over from scratch.
0:22So, if you really think about it, you
0:23weren't just using AI, you were
0:25operating it. You were the one deciding
0:27what to ask next. You were the one
0:28checking if it was good, remembering
0:30what happened last time, deciding when
0:32to stop. Every one of those little jobs
0:34was yours. You were the loop. And now
0:36[music] that's changing. The next big AI
0:38skill isn't writing better prompts
0:40anymore, it's building loops. So, what's
0:42a loop? It's a system where the AI keeps
0:45an eye on something for you, takes
0:47[music] the next step on its own,
0:48remembers what it's already done, and
0:50only stops when the job is finished, or
0:53when it genuinely needs you. [music]
0:54That's loop engineering. And in this
0:56video, I'll explain it with examples
0:58that anyone can follow. You don't need
1:00to know coding, and you don't need to
1:02understand [music] any complicated AI
1:04jargon. We'll build three simple loops
1:06together, like an AI that watches a
1:08product until it's back in stock, an AI
1:11that scans the top companies for your
1:13dream job, and an AI that hunts down
1:15business opportunities before you'd even
1:17think to search for them. And then at
1:19[music] the end, one bonus loop that
1:22genuinely feels like magic, where the AI
1:24builds something and then [music] keeps
1:26making it better completely on its own.
1:28Now, the best part, every single loop I
1:31build in this video, you don't have to
1:32write any of it from scratch. I've put
1:35all of them ready to copy, paste, and
1:37use to level up right away inside my
1:39free WhatsApp community. So, before you
1:41start, go grab the link from the
1:43description, join in, and [music] just
1:45follow along with me. That way, you're
1:46not only watching, you're walking out of
1:49this video with working loops of your
1:50own. Okay, let's get into it.
1:57So, let me back up and explain what a
1:59loop even is because once it clicks,
2:01you'll start seeing them everywhere.
2:03Here's the simplest way to understand
2:04it. Normal prompting looks like this.
2:06You ask the AI, it answers, [music] you
2:08check it, you ask again. You're in the
2:10chair the whole time. Loop engineering
2:12changes that. Now, the AI can keep
2:14checking, keep working, and keep
2:16deciding the next step on its own inside
2:18a boundary that you set. And honestly, a
2:21good loop is just five simple questions
2:23you answer up front. What should it
2:24watch? How often should it check in?
2:26What's the change it's hunting for? What
2:28should it do the moment that change
2:30happens? And the big one, when should it
2:32stop and come ask you? It's not magic,
2:34it's honestly just patience plus memory
2:36plus a few rules. And that's exactly why
2:38it's so powerful. It does the one boring
2:41thing you're terrible at. It keeps
2:42watching until something actually
2:44changes. Now, you might be thinking,
2:46"Hold on, isn't this just automation?
2:48Isn't this just Zapier with extra
2:50steps?" Fair question, but no, and the
2:52difference is the whole point.
2:54Automation usually does one fixed
2:55action. For example, when a form is
2:57submitted, send an email. That's useful,
3:00but it fires once and it's done. A loop
3:02keeps checking the situation. It's
3:04sitting there asking, "Did anything
3:06change? Did I already handle this one?
3:08Is the job complete? Should I try again?
3:11Or should I alert a human?" So,
3:13automation does one action and stops. A
3:15loop watches until the situation is
3:18actually solved. One is a light switch,
3:20the other is a guard dog. That's the
3:22difference and it's the whole reason
3:24this is a brand new skill and not just
3:26the old one wearing a new name. Let's
3:28start with the easiest one and honestly,
3:30the one everyone's needed at some point.
3:33There's a product you want. Maybe it's a
3:34new iPhone, maybe sneakers, maybe
3:37concert tickets, a graphics card, a seat
3:39in a course that keeps selling out. And
3:42it's out of stock. So, what do we all
3:44do? We sit there refreshing the page
3:46like maniacs every few hours, then every
3:49few minutes, and we still somehow miss
3:51it. So, instead, let me show you how to
3:53hand that whole job to a loop. Watch how
3:56simple this is. So, let's go to Claude
3:58and type {slash} loop. That's the
4:00command that tells it to do a job again
4:02and again on a schedule. And let's paste
4:05in a simple job description. Watch this
4:07product page every hour. Check three
4:09things. Is the button still out of
4:11stock? What's the price? And is my size
4:13there, UK 11? Then the rules. If it's
4:16still sold out, do nothing, stay silent.
4:19Wrong size, do nothing. Over budget, do
4:22nothing. Only ping me when it's the
4:24right shoe in my size at the right
4:26price. And this part matters, never buy
4:28it. That decision stays with me. And
4:31remember what you saw last time, so you
4:33don't alert me twice for the same thing.
4:35It asked you one quick thing, run this
4:37on the cloud? Yes. And that's the magic
4:39part. It runs on Anthropic servers, not
4:42your laptop. So, you can shut your
4:43laptop, go to sleep, and it keeps
4:45watching every hour without you. Quick
4:48permission, we allow it, and it's like
4:50There's the confirmation. Every hour
4:52alerts only when all three things are
4:54true at once. And see this, it's saving
4:56what it saw in a little memory file, so
4:58it never repeats itself. Let's test it
5:01right now instead of waiting an hour. It
5:03opens the live page on its own, checks
5:05the button, the price, the size. And
5:08look, still out of stock. So, it does
5:10exactly what we told it to do, which is
5:12nothing at all, no false alarm. It just
5:15quietly saves what it saw and gets ready
5:17for the next run. And here's the
5:18important bit, the thing that makes this
5:20a good loop and not a dangerous one. It
5:23should not buy it for you automatically.
5:25The final call stays with you. That's
5:27the whole shape of it. It watches
5:28patiently, it alerts at exactly the
5:31right moment, and it stops before doing
5:33anything risky with your money. It's not
5:35answering a question anymore. It's
5:37watching a situation. Okay, that one was
5:39fun. This next one is my favorite
5:41because it can genuinely change your
5:43career. Say there's a role you'd kill
5:45for at a top AI company. OpenAI,
5:48Anthropic, Perplexity, Cursor, whoever
5:50it is for you. You do not want to be
5:52checking all their career pages every
5:54single day. And you really don't want to
5:56find out about the perfect role 2 weeks
5:58after it went up and got flooded with
6:00applicants. So, let's build a watcher
6:02for it. Same start {slash} loop. And
6:04here's what you tell it. Three times a
6:06day, check these career pages. Only the
6:08roles I actually care about. Community,
6:10partnerships, growth, events. Ignore the
6:13engineering roles. Ignore anything
6:15outside my city. Ignore anything you've
6:18already shown me. When you find a match,
6:20send me the company, the role, the
6:22location, why it fits, and the link.
6:24Then draft me a short application note,
6:27but do not submit anything. Show me
6:29first. Cloud schedule again, so it runs
6:31without you. And it's smart. It even
6:33asks which companies to watch and what
6:35timing you want. Those four plus a few
6:38more AI labs. Morning, afternoon,
6:40evening. And here's where it gets good.
6:42Let's it run and watch the right side of
6:44the screen. It doesn't check them one by
6:46one. It fires off 10 agents at the same
6:48time, one per company, all going out to
6:50the live web at once. A couple of
6:52minutes later, every one of them comes
6:54back done. And there it is. 10
6:56companies, all checked live, real
6:58openings pulled straight from their job
7:00boards. But here's the part you'll love.
7:02Scroll down. It flags two judgment calls
7:04it made, places where it bent your rules
7:06slightly and wants you to confirm. And
7:09it's already written the application
7:11note for one of them. And this is where
7:13you see the real magic of Loops, which
7:15is memory. The AI has to remember which
7:17jobs it already showed you, otherwise it
7:20would ping you about the same role every
7:21day and you'd mute it in an hour. So,
7:24every single run, it's quietly asking,
7:26"Is this new? Does it match? Have I
7:28shown this person already? Is it even
7:31worth interrupting them for?" That's a
7:32real loop, not because it runs on a
7:34schedule, but because it watches,
7:36compares, remembers, filters, and only
7:39bothers you when something genuinely
7:41matters. Now, let's go one level
7:43crazier. The first loop watched one
7:45product. The second watched a few job
7:47pages. This one watches the whole
7:49internet for you. Say you run a small
7:51business, an agency, a course, a
7:53consulting thing. Most people in that
7:55spot just wait. They wait for someone to
7:57fill a form, slide into their DMs, send
8:00a referral. You're sitting there hoping
8:02demand finds you. But what if your AI
8:04could go out and spot the people who
8:06need you before they ever land on your
8:08website. You tell the loop what you
8:10offer and then every few hours go scan
8:12Reddit, X, funding announcements, hiring
8:14pages. Look for people basically raising
8:17their hand. Someone posting, "Our
8:18support team is completely overloaded."
8:21Or, "Anyone know a good AI consultant?"
8:23Grade each one, how strong is the
8:24signal? Then draft a personal message
8:26for the good ones, but never ever send
8:28it. Wait for me. Cloud schedule every
8:30few hours. It wires up four separate
8:32scanners, Reddit, X, funding news, and
8:35tech press. Let's not wait. Let's run it
8:38once right now and off it goes. Four
8:40agents out on the open web at the same
8:43time reading what real people are
8:45posting right this minute. A few minutes
8:47later it comes back with everything. And
8:49look what it hands you. Three real
8:51opportunities ranked from best to keep
8:53an eye on it. Return Helper rated high.
8:56They just raised a $4 million round.
8:58Stored, Victor. Each one comes with who
9:01exactly to contact and a pitch already
9:03written for you. But here's the part
9:05that actually builds trust. [music] It's
9:07honest about where it struggled. It
9:09tells you a couple of its sources hit a
9:11wall and it had to lean on the others.
9:13It's not pretending it had a perfect
9:15run. Think about how different that is
9:18from normal automation. Automation just
9:20waits for a form to get filled. This
9:22goes out into the world and finds the
9:24demand before it ever reaches you. And
9:26that honesty, telling you where it
9:28couldn't reach, is exactly what
9:30separates a toy that demos well from
9:33something you'd actually run your
9:34business on. That's the part that
9:36genuinely feels like living in the
9:38future. Okay, last one and this is the
9:40one that genuinely made my jaw drop. So
9:43far every loop has watched something out
9:45in the world. This one built something
9:47for you and then it keeps making it
9:49better on its own without you touching
9:51it. So here's a simple app I put
9:53together called Lumen. Right now it's
9:55rough, it's basically a placeholder. And
9:57let's say there's a website out there
9:59whose design you absolutely love and
10:01want to learn from. Normally you'd hire
10:03a designer, wait days, go back and
10:06forth. Watch what a loop does instead.
10:08And here's the best part, you don't even
10:09write this one yourself. There are these
10:11things called loop libraries online
10:13where people share ready-made loops.
10:15This one's from Matthew Berman. He's put
10:17together a whole library of these. I
10:19just grabbed the one built for
10:21redesigning a website, copy it and
10:23that's it. No writing anything from
10:25scratch. I paste it in, point it at the
10:27design I want to learn from and hit go.
10:29And now the loop is off on its own. It's
10:31going to look at that design, look at my
10:33rough app and start closing the gap
10:35between them bit by bit. And this is the
10:38magic. It builds a version, then it
10:40checks its own work, finds the weakest
10:43part, fixes just that and goes again on
10:46a timer over and over. It's grading
10:48itself and improving itself while I do
10:51nothing. And here's where it ends up.
10:53Remember that rough placeholder? Look at
10:55it now. Floating phone mock-ups, a
10:57proper call to action, clean pricing,
11:00the review ticker, all of it. It went
11:02from a sketch to something that looks
11:04genuinely shipped and I didn't touch it
11:06once while it worked. And that's a
11:08completely different kind of loop from
11:10the first three. Those watched the world
11:12and waited. This one creates, then
11:15judges its own work, then improves it
11:17and repeats until it's good enough.
11:19Build, check, fix, repeat. That's the
11:22same loop you'd use to polish anything,
11:25[music] a design, a piece of writing, a
11:27spreadsheet. You're not doing the work
11:29anymore, you're setting the standard and
11:32letting it climb to it. Now, before you
11:34run off and try to automate your entire
11:36life, one rule that keeps all of this
11:39from turning into chaos, the more
11:40powerful the loop, the stronger your
11:42rules need to be. A product watcher that
11:45just alerts you, totally safe. A job
11:47watcher that drafts an application,
11:49fine, but it should never apply for you.
11:52An opportunity loop that drafts
11:54outreach, great, but it should never
11:56message a stranger without your say-so.
11:58So, let your loops watch, filter, draft,
12:01and remind you all day long. But,
12:03anything that touches your money, your
12:05reputation, your customers, or anything
12:07legal that gets a human gate, it stops
12:10and it ask you first, always. That one
12:12rule is the difference between a loop
12:14that works for you and a loop that
12:16embarrasses you. So, here's what I
12:18really want you to take from this. The
12:19skill that's about to matter isn't
12:21writing one clever prompt, it's knowing
12:24what to hand the loop. What should it
12:26watch? How often? What actually counts
12:28as important? What should it ignore?
12:30What should it remember? When should it
12:32speak up? When should it stop? And when
12:34should it stop and ask you first? Answer
12:36those well and you've built yourself a
12:38tiny worker that watches a problem for
12:41you around the clock. Answer them lazily
12:43and you've built a headache. Same as
12:45managing any real person. Prompt
12:47engineering taught us how to talk to AI.
12:49Loop engineering teaches us how to hand
12:51off the work entirely. And your first
12:53loops shouldn't be complicated. They
12:55should be stupidly simple. Watch this
12:58product till it's back. Watch companies
13:00till the right job opens. Watch the
13:02internet till a real opportunity shows
13:05up. That's the whole shift. AI used to
13:07be something you talked to. Now, it's
13:09something you deploy and walk away from.
13:12And a year from now, the people who
13:14understood this early will have AI
13:16quietly working in the background for
13:18them while everyone else is still
13:20sitting there refreshing pages by hand.
13:22The copy-paste templates for all of
13:25these loops, including the loop library
13:26for that last one are in my free
13:28WhatsApp community. Links in the
13:30description. Go grab them and build your
13:32first loop tonight. Pick the stock
13:34watcher. It takes 5 minutes and it's the
13:36one that makes this whole thing finally
13:38[music] click. And subscribe because I
13:41make detailed videos on AI that
13:43genuinely help you become a 100 times
13:45more capable at what you do. Not just
13:47impressed for 5 minutes. Speaking of
13:49which, the next video to watch is right
13:52here. Go check it out. I'll see you
13:54there.

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