Christian Peverelli breaks down five specific AI-driven skills, with a live voice-agent demo, named income examples, and a 90-day plan for each, that he argues can realistically pay six and seven figures by 2027.
Posted
2 months ago
Duration
Format
Listicle
hype
Views
20K
825 likes
57 · 43
Big Idea
The argument in one line.
The money in AI has shifted from prompting a prototype to five specific, learnable production skills, coding finishing, workflow automation, voice agents, go-to-market engineering, and vertical AI, each with its own 90-day path from learning to paid work.
Who This Is For
Read if. Skip if.
READ IF YOU ARE…
Someone who already dabbles with AI tools like Lovable, Claude, or ChatGPT and wants a concrete next skill to specialize in and sell, not another prompting tutorial.
A freelancer or aspiring agency owner who wants real pay ranges (salary, per-project, and retainer) for AI coding, automation, voice agents, go-to-market work, or vertical AI before picking one.
Someone weighing a 90-day plan to go from zero to a paying client in a specific AI service niche.
SKIP IF…
You're looking for a hands-on build-along tutorial. This video names tools and pay ranges but doesn't walk through building anything step by step.
You already have a chosen AI specialty and are past the 'which skill should I learn' decision this video is built around.
TL;DR
The full version, fast.
Christian Peverelli lays out five AI skills he thinks can pay $750,000 a year by 2027, each with a 90-day learning-to-paid-client arc. AI product building has shifted from prototyping, which one prompt now handles, to finishing apps: auth, multi-user permissions, payments. Workflow automation chains tools like Lindy and Zapier into AI-judged pipelines for businesses drowning in manual work. Voice AI agents (demoed live with VAPI) replace missed-call revenue for local businesses. Go-to-market engineering strings together prospecting, enrichment, and outreach tools into one sales system. Industry-specific vertical AI, illustrated by Harvey's legal-AI raise, argues a niche insider can win a race the big labs can't fight for them. Every skill is tied to named examples and real pay ranges, from $8K MVP builds to Cold IQ's $7 million-a-year agency.
Free for members
Chat with this breakdown — free.
Sign in and you get 23 free chat messages on us — ask for the hook, quote a framework, find the exact transcript moment, generate a markdown action plan. Bring your own key when you want unlimited.
Opens with the central promise: one of five AI skills could realistically pay $750K a year by 2027, open to non-technical people, framed against millions currently losing jobs to AI.
00:35 – 03:27
02 · Skill 1: AI Product Building, Explained
Redefines AI coding for 2026: the bottleneck moved from prototyping, which one prompt now handles, to finishing, auth, multi-user permissions, databases, payments. Cites Lovable scaling to roughly $500M/year, including a $300M-to-$400M jump in one month, and Jesus Vargas building a seven-figure agency on exactly that finishing gap.
03:27 – 04:20
03 · Skill 1: Pricing and the 90-Day Plan
Anchors pricing against Upwork's roughly $100/hr freelance baseline, then stacks MVP builds at $8K-$25K each (30 a year equals roughly $700K). Lays out the 90-day arc: Month 1 build throwaway Lovable apps, Month 2 land three small-build clients with Lovable and Supabase, Month 3 graduate to Claude Code for more complex builds.
04:20 – 05:33
04 · Skill 2: Workflow Automation, Explained
Frames workflow automation as 'digital assembly lines' removing manual grind, lead qualification, CRM logging, Slack handoffs, with AI layered in for judgment calls. Cites pay figures: $130K-$190K as an employee, $5K-$25K per project build, or $2.5K-$5K/month fractional, plus Nixarav's agency past $2M and Casper Studio (Jason) at $2M/year.
05:33 – 07:45
05 · Skill 2: 90-Day Plan and the Templating Pro Tip
Learning path: Month 1 build agents in Lindy/Zapier and sales-enable yourself, plus connect existing tools through Claude; Month 2 add AI judgment steps and land three testimonial clients; Month 3 either sell harder or go deeper into OpenClaw and Hermes agents. Pro tip: find the best-fit customer type, build a reduced menu of pre-built workflow templates, and repeat it to scale.
07:45 – 08:41
06 · Skill 3: Voice AI Agents, the Pitch
Positions voice AI as a goldmine for any business that loses money on missed calls, plumbers, dentists, electricians, explicitly distinguishing 2026 conversational voice agents from the 'robotic' IVR phone trees people expect.
08:41 – 10:42
07 · Live Demo: VAPI Booking Agent
Plays a real VAPI appointment-scheduling demo call: the agent takes a name, books a Thursday 2pm slot, reschedules it a week later, answers a pricing question, and texts a confirmation, including simulated background office noise.
10:42 – 13:23
08 · Skill 3: Market Pay and the Tool Stack
Covers compensation, a salaried voice-AI role at $130K-$200K, per-setup builds at $3K-$10K, or revenue-share deals, a path to a multi-location voice agency (Janice Moore cited scaling to $30K/month and now teaching it), named tools (VAPI, Synthflow, Retell, ElevenLabs for cloned voices), and a 90-day arc ending in picking one industry specialty like dental voice agents.
13:23 – 15:50
09 · Skill 4: Go-To-Market Engineering
Introduces a role the video says barely existed two years ago, chaining prospecting, enrichment, qualification, and outreach tools into one revenue workflow. Cites Michel Lieben's Cold IQ agency at $7M/year, salaried roles at $150K-$250K, and a 90-day stack: Bond for prospecting, Instantly/HeyReach/Expandi for outbound, then Attio (AI-native CRM) and Fireflies/Granola (AI note-takers) in month two.
15:50 – 18:13
10 · Skill 5: Industry-Specific (Vertical) AI
Reframes the opportunity entirely: generic AI is a race against OpenAI, Anthropic, and Google that solo builders can't win, but vertical AI for one industry, legal, freight, real estate, clinics, is winnable by people who already understand that industry's problems. Cites Harvey (AI for lawyers) raising another $300M at a billion-dollar valuation, and a 90-day path: validate one acute industry problem, automate or software it in month two, then layer a service on top.
18:13 – 18:24
11 · Wrap-Up and CTA
Acknowledges the overwhelm for non-technical viewers, points to a follow-up video on quick Claude wins, and closes with a subscribe ask.
Atomic Insights
Lines worth screenshotting.
Lovable, an AI coding platform, scaled to roughly $500 million a year in under a year and a half, including a jump from $300 million to $400 million in a single month.
The bottleneck in AI coding has moved from generating a prototype, which one prompt now handles, to finishing it: authentication, multi-user permissions, database structure, and payments.
Minimum viable products built with AI tools go for $8,000 to $25,000 each; building 30 of them in a year adds up to roughly $700,000.
The average freelance wage on Upwork is cited as around $100 an hour, used here as the pricing floor beneath AI coding and automation work.
AI automation specialists are reported to earn $130,000 to $190,000 a year as employees, $5,000 to $25,000 per project build, or $2,500 to $5,000 a month as a fractional operator.
Casper Studio, run by Jason, is cited as generating $2 million a year providing AI workflow automation to small businesses.
Voice AI agent work is cited at $130,000 to $200,000 a year in a salaried role, or $3,000 to $10,000 per business setup, with some operators charging a cut of the extra revenue the agent generates.
Janice Moore is cited as having scaled a multi-location AI voice agency to $30,000 a month, and now teaches other people how to set it up.
Go-to-market engineering, a title the video says barely existed two years ago, is cited paying $150,000 to $250,000 a year; Michel Lieben's agency Cold IQ is cited making $7 million a year doing that work.
Harvey, an AI product built specifically for lawyers, is cited as having just raised another $300 million at a billion-dollar valuation, used as proof vertical AI can beat generic AI at a specific job.
Every 90-day plan in the video follows the same shape: Month 1 build the skill on yourself, Month 2 land two or three paying or testimonial clients, Month 3 either scale into an agency or go deeper into advanced tooling.
The pitch for vertical AI is that generic AI is a race against OpenAI, Anthropic, and Google a solo builder can't win, while industry-specific AI, for freight brokers, real estate, clinics, or recruiters, is a race insiders can actually win.
Takeaway
Five AI skills, and the same 90-day arc under all of them
WHAT TO LEARN
The money has moved from prompting a prototype to finishing the work, whichever of the five skills you pick, learn it on yourself for a month, land two or three real clients in month two, then scale or specialize in month three.
02Skill 1: AI Product Building, Explained
AI coding's valuable skill is no longer getting a working prototype from a prompt, that's now trivial, it's finishing the app: authentication, multi-user permissions, database structure, and payments.
Platforms scaling as fast as Lovable are proof the market still pays well for people who can take an AI-generated prototype the rest of the way to production.
03Skill 1: Pricing and the 90-Day Plan
Minimum viable products built with AI tools are a realistic $8,000-$25,000 price point per build, a volume play if you can do several a month.
The fastest path into AI coding is build-first, not sell-first: spend a full month building throwaway apps solo before you ever pitch a client.
04Skill 2: Workflow Automation, Explained
Workflow automation is a judgment layer, not just connected triggers, AI deciding qualification and priority inside a pipeline is what businesses are actually paying for.
Pricing for workflow automation spans three real models, salaried employee, per-project build, or a monthly fractional retainer, pick the one that matches how much ongoing hand-holding a client needs.
05Skill 2: 90-Day Plan and the Templating Pro Tip
Spend month one of any automation skill building tools for your own business first; using it yourself is what makes you credible enough to sell it to someone else.
Once you've delivered a workflow automation a few times, compress it into a reduced menu of pre-built templates so later clients get speed instead of a custom rebuild every time.
06Skill 3: Voice AI Agents, the Pitch
Any business that loses revenue to missed phone calls, service trades, clinics, local shops, is a plausible buyer for a voice AI agent, and the pitch is lost revenue, not novelty.
07Live Demo: VAPI Booking Agent
A live voice-agent demo (booking, rescheduling, pricing Q&A, text confirmation) is a more convincing sales tool than describing the feature, because the prospect hears exactly what their customers would hear.
08Skill 3: Market Pay and the Tool Stack
Voice AI agency pricing scales with the client relationship: a flat per-setup fee, an ongoing update retainer, or in some cases a cut of the additional revenue the agent generates.
09Skill 4: Go-To-Market Engineering
Go-to-market engineering strings together separate point tools, prospecting, enrichment, qualification, outreach, into one workflow; the role exists because most businesses have the tools but not the pipeline connecting them.
A go-to-market stack can start simple: one prospecting tool plus one outbound channel in month one, then an AI-native CRM and an AI note-taker added in month two once the pipeline is proven.
10Skill 5: Industry-Specific (Vertical) AI
Vertical AI is a different competitive game than generic AI: a solo builder can't out-build OpenAI or Anthropic, but can out-understand them on one industry's specific, acute problem.
The vertical AI path starts with validation, talk to people inside an industry you already understand before building anything, to confirm the problem you assume exists actually does.
Once a vertical AI solution works for one client, it can be turned into repeatable software with a service layer on top, letting you choose how much to productize versus deliver by hand.
Glossary
Terms worth knowing.
MVP (minimum viable product)
A smaller, functional version of a software product built to prove the concept works before adding every feature; here priced at $8,000-$25,000 per build.
Fractional operator
Someone who works for several clients part-time on retainer rather than full-time for one employer; here charging $2,500-$5,000 a month to manage a company's automations.
Voice AI agent
An AI-driven phone system that holds a natural, two-way conversation, booking, rescheduling, answering questions, instead of routing callers through a scripted phone-tree menu.
Go-to-market engineering
A hybrid sales-and-tooling role that chains prospecting, data enrichment, qualification, and outreach software into one automated revenue workflow.
Vertical AI (industry AI)
AI software built around the specific workflows and jargon of one industry, like law or freight, rather than a general-purpose assistant competing directly with OpenAI or Anthropic.
“My friends, by the end of next year, there are going to be people making $750,000 a year by learning just one of the five AI skills I'm about to teach you.”
Cold open stakes statement with a specific dollar figure and deadline, no setup needed.→ TikTok hook↗ Tweet quote
01:00
“The skill is no longer building prototypes, it's actually in the finishing of these apps.”
Reframes the entire AI-coding opportunity in one sentence.→ IG reel cold open↗ Tweet quote
08:25
“I'm not talking about the robotic voice that you get once you call your bank, I'm talking about 2026 voice agents.”
Clean before/after contrast that sets up the live demo payoff.→ TikTok hook↗ Tweet quote
15:50
“Generic AI right now is a race between OpenAI, Anthropic, Google, and a handful of other massive players in the space. Unless your name is Elon or Jeff, you're probably not going to win that race.”
Blunt reality check that pivots the entire final skill, quotable as a standalone aphorism.→ newsletter pull-quote↗ Tweet quote
16:47
“Harvey builds AI for lawyers. They just raised another $300 million and are a billion dollar valuation company.”
Concrete proof point for vertical AI, drops cleanly into any pitch about niche AI products.→ IG reel cold open↗ Tweet quote
The Script
Word for word.
Read-along
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
17px
metaphoranalogy
My friends, by the end of next year, there are going to be people making $750 ,000 a year by learning just one of the five AI skills I'm about to teach you. And no, this is not just for technical people. It's for anyone who's willing to learn and adapt to the new world where currently millions of people are losing their job because of AI.
So if you don't want to be a part of the losing team and want to make more money than you ever have before, this video is for you. So for each one of these, I'm going to talk about what the skill actually is. how you can actually make money with it, how you can learn it in 90 days or less, and the tools I recommend you actually check out and learn.
Let's jump in. Skill number one is AI product building, also known as AI coding. Now, before you say, Christian, we already covered this in a past video.
Yes. However, the market has completely changed. This skill used to be put a prompt in plain English and see magically your app appear in front of you, design, prototype work.
But these days, even my grandmother can build a prototype in one prompt. We're not talking about that. We're talking about the real problem.
fixing it so the skill is no longer building prototypes it's actually in the finishing of these apps you see as soon as you want to go past the prototype and that beautiful user interaction you start working with more complex workflows now you want to add ai now you want people to have multiple entry points so multiple users using the apps potentially with different permission levels.
And that, my friends, require understanding, authentication, log in, log out, database structuring, payments. And that's where most people, my friends, currently fail and you can get paid to solve. And the demand for this skill is insane.
Lovable itself, an AI coding platform, scaled to $500 million a year. in less than a year and a half in fact in one month they actually were able to scale from 300 to 400 million dollars millions of people are paying for non -technical people to build products for them legal teams operational people designers all building internal tools that solve real problems inside of large companies middle -sized companies and even tiny one -person startups let's talk about the money this is jesus vargas he was able to build an agency that caters to this exact need and is currently generating seven figures in revenue But if we take one step back and look at just the average wage that someone is being paid on Upwork, it's roughly around $100 an hour, which might be a great starting point.
for an actual freelancer. And the step right above that is actually building MVP. So full products, but smaller versions of those products, minimum viable products, those are going for anywhere from eight to $25 ,000 in revenue, build 30 of those in a year, and you've generated $700 ,000.
And that's really not unrealistic, because you can literally build these things in a week, sometimes even days. In fact, I build them in a matter of hours now. But let's talk about your 90 day plan.
month one you build three lovable apps as simply as you can try to go as far as you can get stuck mess up and then learn as much as you can about databases authentication AI, even if you're going to completely throw these in the garbage. Month two, find three clients who would be interested in a small build that you're going to use Lovable and Supabase to build.
Going through the process of selling and actually building for an actual customer is going to teach you a lot about the entire process, which you'll then use to scale that process. And month three, I recommend you check out Cloud Code to start learning how to build more complex apps and really stepping up to the more intermediate slash advanced level of coding within.
AI. And I guarantee you with just two to three hours per day invested in learning these skills and actually building is going to make you way ahead of the curve. Not to mention you can now find problems in the market build to try to solve them and then charge people run your own software business.
And these tools like lovable or cloud code cost about $20 a month, sometimes a couple hundred. And my pro tip for this is to actually find small businesses and build simple software that solves them. one key problem for them, charge them anywhere between $8 ,000 and $25 ,000 per build.
Now, if building software is super valuable, this next skill is probably the second most valuable skill you can learn. Now, pretty much every small business that you know is running manual workflows, chasing invoices, copying data from one place into spreadsheets, following up with leads 10 different times, and the owner knows that this is completely dumb.
However, they don't know how to change that. Well, you can actually be the person who fixes that for them. Next skill is workflow automation.
specifically leveraging AI. And this skill is like building digital assembly lines, ultimately taking out the manual grind of individual workflows that happen over and over and over again. So for example, a lead comes in, they are automatically qualified, a response is drafted and sent via email, that's logged into the CRM and it tags the salesperson inside of Slack.
Now, once you add AI inside of this, it actually does the judgment, right? So you can create the criteria that you want for people to qualify or disqualify. It can decide priority levels.
Basically, you have full control over how this system works. And by solving this for business owners, the market has spoken. There is insatiable demand.
In fact, Nixarav has been able to generate more than $2 million by actually generating a service that provides this to small businesses. And you can do the same. But to be clear, this is slightly more technical.
Again, I'm gonna give you the tools for non -technical people to also execute on this. And ultimately the actual owner only cares about the outcome, not about the tools you're using. Now in the job market, AI automation specialists are making anywhere between 130 and $190 ,000 a year.
But if you're building automations on a project basis, it can be anywhere from $5 ,000 to $25 ,000 for a build. And you could also do something in the middle where you basically are like a fractional, right, you're charging anywhere between 2500 and $5 ,000 per month to be able to be the go to person to set up these automations for a company.
But these are kind of the safe bet because Casper Studio that's run by Jason is actually making $2 million revenue per year, actually doing exactly that. And I have a pro tip for this one. But first, how would you actually learn this if you had 90 days, well, I would actually start off with simple tools like Lindy, if you want to do just automation, you would do Zapier.
And the goal here would be to spend the first month creating agents yourself testing them on your own process. And because you need to go out and get sales, I would spend that first month building sales enablement. That's right for yourself.
So you can actually get customers for this. In addition to that, and probably the first thing I should have said is download co work built by Claude, and it allows you to basically connect all the different tools that you have, and basically run them through your Claude instance. So you can actually do things within the tools you already use.
And guess what? You can also sell that implementation service any given person because they're already sold on things like Claude, ChatGPT, and others. Step two, month two, go deeper into these tools and add AI steps inside of these workflows to get better at the output that AI is actually giving you.
And at the same time, pick up three customers that are actually gonna be early testimonials. So it doesn't really matter if you're making that much money from these early people. They'll be testimonials that you'll be able to use to convince the next tier.
buy from you. In month three, you have two options. Either you go harder on selling the services at a basic level, or you learn more complex tools to be able to make more complex automation.
And if you're going for the slightly more complex setup, I would learn how to install and to actually run open claw and hermes agents but here's the pro tip to make money with ai workflow automation over time you're going to start getting clients and fulfilling a service a specific workflow automation the best way to make a lot of money is actually to figure out who the best customers are to serve and what automations they need specifically and then have a reduced menu with workflows you've already implemented and then you have templates that you can implement for very specific businesses and it will be able to be a process that you repeat over and over to scale to seven figures okay so for Skill number three, here's the deal.
When you're a plumber, an electrician, a dental office, or any kind of job that kind of sounds something like that, well, if you don't pick up the phone, that's usually gonna be not just a phone call missed, but actually a missed job opportunity that usually could generate hundreds, if not thousands of dollars for each one of them.
And not just that, even if you were to pick up, you have to go through the process of understanding a customer's needs, then directing them towards the right product, setting up an appointment, lots of... admin stuff that frankly is costing these people a ton of money and that's why the skill of learning voice ai agents is an absolute gold mine but i'm not talking about the robotic voice that you get once you call your bank i'm talking about 2026 voice agents let's look what that actually sounds like in real time hey so this is uh vappy's appointment scheduling demo i'll walk you through how it works by like booking a sample meeting with you sound good yeah sounds great Sure.
To get started, could you tell me your first name? I'm Christian. Great.
Thanks, Christian. Could you let me know which date you'd like to schedule the appointment for? Just a day, like next Thursday, or a specific date.
Yeah, maybe we could do like next Thursday, 2 p .m. Pacific time. Your appointment is set.
Tiara. Name? Christian.
Date? Thursday, July 14th, 2026. Pacific Time.
Time, 2 p .m. If you need to change anything or add more details, just let me know. Yeah, can I ask a little bit about your pricing?
Sure thing. Here's a quick overview of how our pricing works for the Diffusion LLM platform. Tier.
Typical use case. Monthly cost. USD.
Key features. Oh, wait. I need to change my booking.
I completely forgot that I have an appointment with my dentist exactly at that time. Could we actually do it the week after? After, same time, same day?
Your appointment has been updated. Name, Christian. Date, Thursday, July 21st, 2026.
Time, 2 p .m. Pacific time. Let me know if anything else needs adjusting.
Yeah, if I need to cancel, who should I call? If you need to cancel or reschedule your appointment, you can reach our support team directly. Awesome.
And can I actually get a text message with this information? Sure thing. I can send you a quick text with the appointment details.
Could you share the phone number you'd like the message sent to? Absolutely. So it's going to be plus one, eight, six, seven.
Complaintment is now set for Thursday, July 21st, 2026 at 2 p .m. Pacific time. I'll send a confirmation text to plus one eight six seven six four two four five nine nine with those details.
If you need anything else, rescheduling, cancellation or more info, just let me know. Boom and boom. I just got a text message with that information on it.
Pretty wild. And one thing that was pretty cool about that was that they actually had background sound. So like as if this person was kind of like in a work environment.
or like coffee shop, which was pretty cool. But we digress, my friends. The point is that there are local business owners who literally would kill to have these kind of AI voice assistants do work for them.
They could literally book more meetings and free up more of their time to be able to fulfill on the actual demand that they have. So the ability to learn the skill to actually train an AI agent on all the information about this company and then create agents for specific roles, for example, a voice secretary, a voice salesperson.
or even someone taking the first interview on your behalf so that you can screen the majority of applicants for a job. It's a skill that saves a bunch of time and makes more money, so obviously it's in high demand. But you might think you have to be quite advanced to do this.
Well, actually, there are tools just like the one I showed you called VAPI that you can use and learn. relatively quickly to be able to set these up and ultimately people are paying you to get the job done. Now if you wanted the safe path to just make money get a job in this industry where you learn how to build AI voice agents that sound exactly like the person that is going to be answering the phone that's going to range anywhere between $130 ,000 and $200 ,000 a year.
Now of course for each individual setup you could charge something like $3 ,000 to $10 ,000 and could also have a small retainer to be the person who updates it continuously if needed and is kind of the go -to person as kind of the technician behind these agents. In fact, I've also found people that basically charge by the additional revenue that the service brings to the company.
So that can be something that can actually very quickly generate lots of money. And if you turn this into more of an agency going after higher clients, you could literally go after clients who have multiple locations throughout the world and charge for each one. In fact, Janice Moore over here very quickly scaled to $30 ,000 a month with these kind of voice agency.
And now started teaching how to set these up to other people now for the tools we've already covered vappy but you could also go for synth flow or retail and then to be able to create custom voices you can use a tool called 11 labs that allows you to clone voices like your own and apply them to these agents so to learn this month one build a voice agent for yourself month two you start getting paid customers specific niches and month three you turn that into an agency and go after larger customers now again as you find use cases that work well for specific industries you can then go to other industry players and say hey we built this for this customer Thought you might want that for yourself as well.
Gives you a competitive edge. If not, you're going to be left behind. And suddenly you have these templates that you can basically deploy to different companies and different niches.
And so here I would think about becoming a specialist in one industry. So maybe like the voice agents for dentistry. Now, if voice AI is not your cup of tea, then, well, this next one didn't actually exist only just two years ago.
It's a title called go -to -market engineering. What does it actually mean? go -to -market is all about growing a company right being able to be a part of the growth of the revenue operations of that business and ultimately go -to -market engineering is all about finding the right people at the right time and putting the right message in front of them to be able to get paying customers so ultimately you're creating these workflows these sales workflows so it could be things like outbound sales it could be things like inbound lead outbound where we're doing qualification and then we're going to reach out to the people who are contacting us if they fit the ideal customer profile that we have, or even doing internal things like updating CRMs or doing things like qualification, cleaning up the data in our database.
All of these are cool workflows that people are really willing to pay top dollar for. In fact, Michelle over here runs an agency called Cold IQ and makes $7 million a year doing exactly this. And he's not the only one.
Over the past two years, we've seen a huge rise in this title. And jobs are actually offering anywhere between $150 ,000 to $250 ,000. for go -to -market engineers.
Now, one little caveat about this skill is that it does require more than one tool to learn because you're actually connecting a number of tools together. One tool to find prospects, another one to find their emails and phone numbers, then oftentimes one to do research about that individual, qualify them. There are a couple of tools now out there that allow you to actually do just this all in one tool.
Bond is a great example of that. You literally just describe the person, the role in the company, and the type of company that you're going after, and it'll build a list for you. for you, and then you can go through all of those subsequent ones.
So in terms of the 90 days, here's exactly how I would structure it. At first, simple outbound. So basically, find people, qualify them, do the research, write custom emails to each one of them, and then send them out.
If you're doing email, that'll be through Instantly. And if you're doing it through LinkedIn, you can use something like Heyreach or Expandi. Now in month two, I'd probably learn two additional tools.
One would be an AI native CRM, something like Addio or its competitors. And the other one would be an AI note taker, like fireflies or granola now that second month i would probably focus more on implementing these systems inside of small medium businesses instead of larger enterprises and as soon as you start feeling comfortable you can move into bigger fish their systems will be slightly more complicated so you'll need a little bit more experience for that so yeah it's kind of crazy to think there are titles that didn't even exist just two years ago and i think that'll continue to accelerate i'll always be keeping you up with the latest skills to learn but don't worry that wasn't the last skill let's talk about the final one Stay with me because this last one reframes everything that we've talked about so far.
You see, generic AI right now is a race between open AI, Anthropic, Google, and a handful of other massive players in the space. And unless your name is Elon or Jeff, you're probably not going to win that race. But industry AI that's very specific to your niche industry is a race that you can join.
Freight brokers, real estate, clinics, recruiters, completely different race. And this is a race that's usually won by the people who understand these specific... industries and the problems inside of them.
Guess why? Because the people inside these industries don't have any technical skills to solve these problems because more likely than not, the people inside these industries who are specialists actually lack the technical skills to build these kind of tools. Harvey builds AI for lawyers.
They just raised another $300 million and are a billion dollar valuation company. And I'm not just talking about building billion dollar businesses here. I'm talking about building a business that generates five, $10 million a year.
And you base. have exactly the life that you want. So if you spent five, 10, 15 years, 20 years inside an industry and understand deeply some of the problems they have, you probably want to solve one of these specific problems with one amazing solution just to that small niche problem, not trying to solve the whole thing, just one specific acute problem, get incredibly good at it and build the business of your dreams behind it.
And guess what? You decide if you want to actually own the software part of it or the service part of it, right? You could literally just become the con...
consultant who's able to distribute that on a large level and make millions of dollars, or you could actually productize the service. Now, if you want to do this one, which is kind of a mix and match between all the ones we've talked about up until now, I would start off by identifying the specific workflows inside the industries and speaking to people to understand acutely if they have the same problem that you faced or if your assumptions are correct about that market.
Month two, you try to automate that workflow either with cloud or if you want to turn it into software with something like lovable. It could even be an automation or a voice agent too.
And once you've solved that problem once, you can turn that into software and add a service layer on top of it. But everything I've talked about can seem a little overwhelming specifically for non -technical people. So if you just want to get started and see how you can create really impressive stuff to yourself to prove to yourself that you can actually do this in just a number of hours at first, then I highly recommend you check out this video because I'm going to show you how to use Clod in a way that's going to blow your socks off.
literally super simple things it'll take one hour of your time if you enjoyed this video subscribe to the channel it helps me a bunch and i hope to see you in the next video let's go
The Hook
The bait, then the rug-pull.
Christian Peverelli opens with the title's promise stated as flat fact: one of five AI skills, learned now, pays $750,000 a year by the end of 2027, open to anyone willing to learn, not just technical people, while millions lose jobs to AI around them.
Frameworks
Named ideas worth stealing.
03:40list
The 90-Day Skill Arc
Month 1: build/learn the skill solo
Month 2: land 2-3 paying or testimonial clients
Month 3: scale into an agency or go deeper into advanced tools
The same three-month shape repeats under all five skills in the video: self-directed practice, then a handful of early real clients used as proof, then either a sales push or a technical level-up into agency territory.
Steal forany 'learn this skill in 90 days' video structure, course curriculum outlines, service-business launch plans
01:00concept
Finishing, Not Prototyping
Argues the valuable AI-coding skill is no longer getting a working prototype from a prompt, which is now trivial, but finishing it: authentication, multi-user permissions, database structure, and payments.
Steal forAI-coding pitch decks, 'what AI can't do yet' content, pricing justification for dev/agency work
07:25concept
Reduced Menu of Templates
Once you've served enough clients in a workflow-automation niche, compress what you've learned into a fixed menu of pre-built workflow templates you can redeploy to the next similar business instead of custom-building every time.
Steal forproductized service offers, agency scaling content, 'how to stop trading time for money' pitches
15:50concept
Vertical AI vs. the Generic AI Race
Generic, horizontal AI is a race against OpenAI, Anthropic, and Google that an individual builder can't win; AI built for one specific industry's problems is a race won by people who already understand that industry.
Steal forniche-down pitches, 'don't compete with the big labs' content, vertical SaaS positioning
CTA Breakdown
How they asked for the click.
VERBAL ASK
18:18subscribe
“if you enjoyed this video subscribe to the channel, it helps me a bunch, and I hope to see you in the next video.”
Single soft subscribe ask at the very end, preceded by a mid-outro pointer to a separate follow-up video for non-technical viewers who want a smaller first win with Claude before tackling any of the five skills.
Add Modern Creator as a preferred source and Google shows you more of our breakdowns in Search, Top Stories, and AI Overviews. It only changes what you see, and you can undo it in your Google settings anytime.
Add to Preferred SourcesOpens your Google source preferences with us pre-loaded. Tick the box and you're done.
A creator rebuilt his entire edit team, editor, transcriber, animator, researcher, screen editor, sound designer, and finisher, as Claude Code tool connections, coordinated by one written skill file.
A plain-English walk through OpenAI's DevDay: DOTS, GPT-6.1 Sol, Ultrafast, a full ChatGPT office suite, and which kinds of startups are now most exposed.
One creator ran the same three builds through OpenAI's GPT-6 Astra and Anthropic's Fable 5.1, then found the real gap in what happened after he stopped typing.
A 20-minute end-to-end walkthrough of Claude Code Skills: install from marketplace, build from scratch, handle API keys securely, and watch the agent auto-invoke skills to rebuild a fitness app.
February 9th
19:18
Alex Finn · Talking Head Tutorial With Screen Walkthroughs And Digital Whiteboard Diagrams
A software engineer builds a full YouTube clone with Claude Code and spends the first third of the video making sure the model never gets the chance to freelance.
00:18
00:47
00:57
01:10
01:29
01:40
01:57
02:11
02:18
02:43
02:48
03:03
03:15
03:47
03:56
04:22
04:38
04:51
05:10
05:20
05:51
06:05
06:18
06:27
06:41
07:02
07:11
07:28
07:50
08:09
08:23
08:51
09:05
09:18
09:32
09:46
10:00
10:14
10:27
10:59
11:07
11:23
11:36
11:50
12:04
12:18
12:38
12:49
12:59
13:19
13:43
13:54
14:08
14:22
14:36
14:50
15:03
15:17
15:31
15:54
16:12
16:26
16:41
16:54
17:08
17:21
17:35
17:49
18:03
16:58
08:51
17:45
20:52
19:18
22:58