Have you ever scrolled social media, maybe late
at night, and found yourself completely captivated
by a video that felt kind of impossible? Like
a talking Yeti sharing forest life tips or maybe
a historical figure vlogging about, I don't know,
modern problems. It feels like a secret club,
right? Ah, yeah, a secret club. Good way to put
it. But what if I told you the doors are swinging
wide open now? These aren't just random internet
weirdness anymore. Often they're part of a really
consistent series building a real audience. Exactly.
That's fascinating. And today we're taking a
deep dive into an actual blueprint. It comes
from the source material, How to Make Viral Videos
with AI, an Automated System Guide. We're going
to unpack how you, listening right now, can build
your very own system. Something that takes an
idea just bubbling in your brain and turns it
into a ready -to -share video, mostly on autopilot.
It's kind of a game changer. Yeah, we'll walk
you through setting up your, let's call it creative
mission control, then building an automated assembly
line with these AI specialists, and then, crucially,
how to get your stuff out there, distribute it,
and even make some money from it. It's really
a journey from concept to potential viral hit.
Okay, let's dig into this vision then, because
it does sound a little bit like science fiction,
doesn't it? We're talking about AI -made videos
racking up millions of views, but the source
makes a strong case, a really compelling case,
that this is reality right now. It absolutely
does. And it's not just abstract ideas. Imagine
Bigfoot, right? Sitting in his habitat, maybe
vlogging about his favorite berries or hiking
trends. All AI -created, but still surprisingly
engaging. Or think about Noah. you know, from
the Bible, doing a daily art vlog, maybe complaining
about no Wi -Fi or too many camels. The humor
comes from that mix, you see. Old stories, unexpected
characters mixed with modern, relatable problems.
That friction, that contrast, that creates the
spark, the humor. The storytelling AI can actually
deliver now. What does this mean for the process?
It sounds like a full -on automated video factory.
You plant a seed, like a simple idea, maybe a
scroll tries stand -up comedy. Exactly. From
that little seed, the AI weaves a whole story,
usually around eight short scenes. Each one comes
with dialogue, actions, the works. You even get
a sneak peek first, preview images for every
scene, kind of like quick sketches, just to see
if it's on the right track. Once you say, okay,
looks good, the system uses these advanced AI
tools to automatically make the show. video clips
and then boom few clicks and it publishes them
tick tock Instagram wherever you want Wow so
this whole process it sounds futuristic but you're
saying it uses tools available right now yeah
totally okay so for someone listening wanting
to build this what's the very first practical
step where do you start it all starts with getting
your ideas organized You really need a central
place, a flexible online hub for everything,
right? Every big project needs that mission control,
doesn't it? A central brain. And for this system,
the source points to a flexible online spreadsheet
tool, something like Airtable. Okay, Airtable.
So think of it like your digital command center,
your brain for all the video ideas floating around.
Inside this base, you'd set up key areas, like
an idea bank for just jotting down concepts,
a production line to track the steps, like script
done, previews ready, and then a launchpad for
the finished videos, all queued up and ready
to share. And the most important feature, honestly,
sounds super simple. It's just a button. Maybe
it says run or go. When you pick an idea and
hit that button, it's not just sitting there.
It sends a signal, tells the next part of the
system, hey, time to get to work. It keeps everything
super organized and makes starting a new video
just incredibly easy. Okay, that makes sense.
So you have this organized base. But how do all
these different pieces, these different online
tools, actually talk to each other automatically?
Ah, that's the magic glue. An automation platform.
Like make .com is the key connector there. It
acts like the system's foreman, you could say.
Gotcha. The foreman. So here's where the real
behind -the -scenes stuff happens then. Make
.com is like the orchestrator on your factory
floor. It visually connects these different online
tools, manages how the information flows from
one step to the next. Yep. And the workflow usually
kicks off with something called a webhook. You
can think of a webhook as like a special web
address just waiting for a signal. So when you
click that run button back in Airtable, it pings
this webhook, sends the signal, and that starts
the whole process rolling. Okay, so Airtable
pings Make. Make then gets the storyteller involved.
It sends your idea over to a powerful AI text
model like ChatGPT. And this AI becomes your
script writer, basically, crafting the dialogue,
the scene actions for your video. Exactly. The
AI script writer sends back the whole story,
usually structured nicely in JSON. That's just
a standard data format. Makes it easy for computers
to read. Make .com then uses something called
an iterator tool. That just means it breaks the
story down, processes it scene by scene, one
by one. Then for each scene, it asks for that
sneak peek image. It sends a description to an
AI image generator. Maybe replicate. using a
model like Flux 1 .1 Pro. And the wild part,
this visual preview costs like four cents per
image. Super cheap. And the reason for those
cheap previews is really important, isn't it?
Because a single eight second video clip from
the final stage, that can cost you three to six
dollars. So if you just rendered all eight scenes
without checking first, you could easily waste,
what, almost 50 bucks if the character looks
wrong or the scene's off. That's a big deal.
It's a huge deal. And honestly, I still wrestle
with prompt drift. myself sometimes. The AI just
doesn't quite nail the look you wanted on the
first try. So yeah, these cheap previews are
absolutely essential. Saves you throwing money
down the drain on unusable clips. After it gets
those preview images, Make .com uses a sleep
tool. That just means it waits a bit, gives things
time to process before updating your Airtable
base with the finished video link. Okay. Okay.
That makes sense for the previews. But then what
about generating the actual final video clips?
That's where the main cost comes in, right? Yes,
exactly. That's where Google VO3 comes into play.
Yeah. It's like the star director for the final
videos. It's powerful, but yeah, the pricing
works a bit differently. You'd roll sponsor read.
Okay. So storyboards are approved. Your vision
is clear. Now it's time for the director. Google
VO3. This is where the main cross is going to
be, but it's what produces those final high -quality
video clips that really bring your characters
to life. Right. And you basically have two main
ways to access it, according to the source. There's
a paper use option using a platform called Replicate
that costs around $6 for an eight -second video.
Or you can get a subscription through Google
AI Studio. That's about $250 a month. But that
subscription includes enough credits for roughly
83 videos, which brings the cost way down to
just $3 per video. Yeah, so if you're planning
on making more than, say, 41 videos a month,
that subscription quickly becomes much, much...
cheaper way more economical and there's a second
make .com automation that gets triggered here
right when you approve those storyboards this
workflow takes your visual prompts and sends
them straight to the via 3 api and the real secret
sauce here the source says is using a specific
keyword in your prompt handheld selfie style
handheld selfie style interesting why that it's
not just about the look it tells the ai to create
that authentic kind of personal feel not like
a sterile perfect animation it makes the the
videos feel more human, more relatable. Ah, okay.
Let's walk through that second automation quickly
then, because it seems pretty core. So idea in
Airtable, you hit run, a webhook module in make
gets triggered. Then an HTTP module sends the
prompt to the VO3 API on replicate, making sure
to include your API key, your token. Right. then
a sleep module kicks in this part's important
for getting high quality video back it waits
uh 230 seconds so nearly four minutes just to
make sure the video is fully rendered and ready
then a second http module goes and fetches the
finished video link and finally an air table
update a record module puts that link right back
into your air table base on the correct row for
that video all automated whoa Just pause and
think about that for a sec. Imagine scaling the
system. You could be churning out hundreds of
unique, engaging videos every month for just
a few dollars each. That's just incredible content
potential for basically anyone with a story they
want to tell. It really is mind boggling when
you frame it like that. OK, so the videos are
made. They look good. How do they actually get
out there? How do they reach the audience? That's
the next piece. A third automated workflow handles
the publishing, pushes it out to all your social
media platforms at once. Okay, so you've got
these nice, high -quality video clips sitting
there in your Airtable base. The final step,
the exciting bit, is sharing them. And this third,
make .com automation, helps you publish that
content across major platforms, all with just
one click. Right. It starts, again, with a webhook.
This one's triggered by maybe a publish now button
in a specific publish sheet or view in your Airtable.
This sends the video's location, like its Google
Drive URL and its title, over to make .com. And
the core of this workflow is integrating with
a social media scheduler tool. You know, one
of those tools that connects to your TikTok,
your Instagram, YouTube Shorts, all of that.
It lets you post to all of them through what's
called an API call. Basically telling the scheduler
what to post and where. Exactly. But before you
publish, you need good captions, right? One's
tailored for each platform. So you use an AI
publicist. Another chat GPT module, probably.
This AI generates platform -specific captions.
The source gives a pretty good example prompt,
something like, write a caption for a short video
titled based on the transcript below. Keep it
under 60 characters. Like, Duolingo replaces
humans with AI. Users aren't happy. Something
short and punchy. Okay, so the AI gives you maybe
a few caption options. Then you have separate
modules in the... make for each platform, like
Instagram, create a post or a TikTok, upload
a video. And you map the right video URL and
the specific tailored caption to each one. So
when you trigger it, boom, your video posts everywhere
you want simultaneously optimized for each platform.
This whole system, I mean, it sounds incredibly
powerful, really sophisticated. But how do you
actually turn it into, well, income? How does
it become a real business? Yeah, that's the million
dollar question, isn't it? And the source outlines
a really smart phased business model. It's clever
because it focuses on building the audience first
and then, quite meta really, it focuses on selling
the how -to, the blueprint you just used to build
the audience. Interesting. Okay. Tell me more.
So a factory spitting out viral videos is an
amazing asset, right? But it needs to pay the
bills. The source highlights this brilliant kind
of meta -monetization strategy. It's not just
hoping for YouTube ad pennies or something. It's
a direct... proven path to profit, building directly
on the thing you've created. Okay. Phase one,
audience building. This is like the first one
to three months. The goal here is simple. Get
a large, engaged audience. That means consistent
publishing, ideally daily videos using your AI
system, and crucially, focusing on one character
or niche. Can't jump around between Bigfoot one
day, then Jesus, then Marcus Aurelius the next.
Got to stick with one theme. Super important,
that focus. And also, you need to engage in character
in the comments. Don't just reply as yourself.
Be the character. It deepens that connection.
Plus, you're tracking analytics like crazy. Which
scenes get shared? What lines get comments? You
feed all that data back into refining the prompts
for your AI script writer. It's a feedback loop.
Okay, so build the audience, engage, refine,
then phase two. Monetization setup. This is around
month four, maybe, once you have some social
proof. Like 10 ,000 or 20 ,000 followers. Exactly.
That's the trigger point. You've shown it works.
Now you choose a low -cost platform, something
like Gumroad or Beacons .ai, to sell a simple
digital product. And that product is your how
-to guide, your blueprint. Ah, okay. Selling
the system itself. Precisely. And this blueprint
needs to be really comprehensive. Include the
exact AI prompts you used, the exported JSON
files for the make .com scenario so people can
import them, the Airtable template, and a clear
video walkthrough showing exactly how to set
it all up. The source suggests pricing it in
the sweet spot of maybe $30 to $50. And the profit
margins must be pretty high since your content
generation costs are low once the system's built.
Very high. You're selling the knowledge, the
process. Okay. Then phase three, launch and scaling.
This is month five onwards. Yep. Now you start
promoting it. Change your social media bios to
point straight to your course page. Add a simple,
natural call to action at the end of your videos.
Hey, want to learn how I make these videos? Check
the link in my bio. Nothing too salesy. Makes
sense. Organic promotion built right in. And
you can add an upsell too. Maybe an extra 15
bucks for the exact prompts you used for your
absolute most viral videos. people love that
insider stuff once you have that established
audience and income stream you can diversify
more affiliate marketing for the tools you recommend
eventually maybe even sponsorships that's a really
well thought out funnel build prove teach scale
okay but let's be real what are the actual costs
and challenges for someone just starting this
it can't be that easy No, you're right. It's
important to have a realistic view. This isn't
some magic button for instant fame and fortune.
It definitely requires effort, learning the tools,
and, yeah, a realistic budget. Okay, so what's
in the toolkit? What do you absolutely need?
You need make .com. They have a free plan to
start, or the pro plan is around $9 a month.
OpenAI for the chat GPT API access. You'll probably
buy like $5 to $20 in credits to start. Replicate
for the image and video credits. Airtable. Again,
free for basic use is fine. Access to Google
VO3, either through replicate pay as you go or
that Google AI Studio subscription. And of course,
your social media accounts and probably a social
media scheduler tool to make that last step easier.
Right. And the budget. You mentioned maybe $30,
$50 a month to start just for testing. Yeah,
something like that seems reasonable for dipping
your toes in. But if you're aiming for that full
scale daily production schedule, it could run
you more like maybe $100 to $500 a month. replicating
VO3 credits for video generation, that's going
to be your biggest variable cost for sure. Got
it. And the source mentioned some common traps
people fall into. Yeah. Three big ones to watch
out for. First is the spray and pray trap. Just
making random videos, hoping something sticks.
Yeah. The antidote, like we said, commit to one
character, one niche. Focus. Okay. Trap one.
Lack of focus. What's two? Trap two is the set
it and forget it mindset. Thinking the automation
does literally everything and you could just
walk away. The antidote is you have to review
your analytics. Weekly at least. Use that feedback
to tweak your strategy. Stay involved. Great.
Automation is an adaptation. And the third trap.
The perfect first try trap. Getting discouraged
when your first few videos don't blow up immediately.
The antidote here is just consistency. Keep learning.
Keep refining. Post one good video every day.
Success builds over time. It's rarely instant.
That's good advice for almost any creative endeavor,
really. Consistency beats chasing perfection.
The source provides a launch plan, too, like
a week -by -week guide. It does, yeah. A simple
four -week plan. Week one, foundation. Set up
your tools. Test the basic workflows. Pick your
character. Week two. Content batching. Brainstorm
15, 20 ideas. Get the scripts. Approve the storyboards,
but don't generate the expensive videos yet.
Just the cheap previews. Week three, first videos
and publishing test. Actually make maybe three
to five full videos. Test the whole automation
from end to end, including publishing. Iron out
kinks. Week four, launch and consistency. Start
posting daily. Monitor engagement closely. Feed
those learnings right back into your idea generation
and prompts. That breaks it down nicely and makes
it feel more manageable. Exactly. And people
who are actually finding success with this stuff,
they're not necessarily coding geniuses or AI
PhDs. They're just people who decided to learn
the process, mess around with the tools and put
the pieces together. Tinkers. So what's the ultimate
takeaway then for anyone listening who's maybe
intrigued by all this? I think it's really a
new kind of creative journey, especially for
tinkerers, for people who like figuring things
out. It offers these powerful new ways to express
your ideas and potentially build a real audience
in a way that wasn't possible before. If we try
and connect this all back to the bigger picture,
this deep dive, it's really shown us the immense
potential here. Combining these accessible AI
tools, these automation platforms like Airtable
and Make .com, you can create a full -fledged
automated content factory, specifically geared
towards making potentially viral short -form
videos. Yeah, it's about using AI as this tireless
creative partner. Not just for making the stuff,
but for distributing it smartly and even to building
a scalable business around teaching others how
you did it. The key isn't just the cool tech,
though. It's a consistent strategy, finding that
focused niche and having the patience to iterate
and improve. Which really raises an important
question for you listening right now. What kind
of unique, consistent character or story could
you bring to life using this kind of technology?
The roadmap, as we've discussed, is pretty much
there. And the technology is just getting easier
to use, more accessible every single day. This
really is a chance to jump in and be one of the
early explorers in this new wave of content creation.
It's exciting. Well, we hope this deep dive has
given you some maybe surprising insights today
and really sparked your curiosity about what's
possible with AI in content creation. Yeah. Thanks
for diving deep with us today.