zegalone

Creative Director & Editor 🎬 |
I build AI systems that make videos hit 10× harder |
Specialized in high-ROAS VSLs |
Make More VSLs

[zegalone @_zegalone]

@ecomstreur Lets work bro

[zegalone @_zegalone]

@nicktheriot_ MILLION

[zegalone @_zegalone]

@ibbosfr Bro, check your DMs. I just want to ask you something

[zegalone @_zegalone]

Bro there’s no course in the world that can teach you how to edit in a true DTC style DTC editing is a mindset It comes from visual taste constant analysis and real practice not from a course That’s how you build real DTC instinct as an editor A course literally won’t teach you that"

[zegalone @_zegalone]

Why do most VSLs fail… even when they’re written “right”?

Honestly, the problem isn’t the script.
Not the length. Not the production either.

The real issue is that people treat a VSL like it’s just a video.
It’s not. It’s a belief reset for someone who’s already skeptical.

A VSL doesn’t sell the product.
It changes how the problem is interpreted.

Most customers don’t reject the offer
they reject the story they were told before the offer even shows up.

Every VSL that actually works moves the viewer from: “Maybe I’m the problem” to “The system / market / old solution is the problem.”

If that shift never happens? No edit. No UGC. No “crazy hook” is going to save the ad.

The biggest mistake I see: people explain the product before they change the belief.

That’s where ads quietly die.

If your VSL explains what you sell before it reshapes how the customer thinks, you’re burning money while thinking you’re optimizing.

A VSL isn’t a script.
It’s not a video.
It’s the ordering of thoughts.

And if you don’t understand that, you’ll just make the video longer… and shorten the life of the account.

"Make More VSLs"

[zegalone @_zegalone]

Bullshit “press a button and let AI do the work”... You’re not building ads,
You’re building a money burning machine.

One click AI isn’t intelligence.
It’s the fastest way to torch your budget while thinking you’re “scaling.”

The problem isn’t AI. It’s how people are using it.

What’s actually happening: People spin up “magic” platforms, generate 50–100 videos, all looking the same, same rhythm, same voice, same idea… then act surprised when performance dies.

Meta doesn’t see “volume.”
Meta sees one weak idea repeated at scale.

You’re not testing.
You’re training the algorithm that your offer doesn’t work.

AI isn’t an ad factory.
AI is a decision amplifier.

Bad decisions → fail faster.
Weak ideas → burn quicker.
Unclear messaging → punished silently

People think: “More videos = more chances.”

Reality: “Thin idea + high volume = faster money burn.”

The ones actually scaling in silence? They’re not pressing buttons. They’re building systems.

They understand:
– which model fits which role
– when realism beats beauty
– when audio kills the ad
– when motion exposes AI
– and when to stop and rethink instead of pushing harder

AI is a puzzle. If you assemble it wrong, adding more pieces just makes the mess bigger.
And the worst part? These one click platforms sell you the illusion, then make you think you’re the problem.

Truth is: You don’t need more tools. You need clearer thinking.

If you want to burn cash → keep pressing buttons.
If you want ads that survive → learn before you scale.

[zegalone @_zegalone]

@Carnije739 Check your DM

[zegalone @_zegalone]

Higgsfield Soul + Skin Enhancer + Kling 2.6 = Real AI UGC System

This isn’t an “ad factory”
It’s a real production pipeline built for ads that actually survive Meta.

No actors.
No fake UGC creators.
No bloated $10K/month agencies.

Just high-belief, human-looking AI ads built the right way.

Most people automate volume.
I design decisions before automation.

Here’s how my system actually works:

→ Analyze winning competitor ads (angles, pacing, belief)
→ Write the full script first
→ Split it into short 8–10s sentences (one idea = one clip)
→ Generate a realistic base image (Higgsfield Soul)
→ Enhance skin texture (not plastic, not “AI face”)
→ Re-encode to stabilize face + hands
→ Animate each clip separately with Kling 2.6
→ Control cadence, pauses, imperfections
→ Assemble everything in CapCut with intent

No randomness.
No one-click bullshit.
Every model has a role.

Result?
– Ultra low CPM
– Strong belief reinforcement
– Ads that scale instead of collapsing
– 3x+ ROAS when the angle is right

Automation comes after clarity.
Factories pump ads.
Systems build winners.

If you want the exact breakdown
of how I structure these pipelines for ads that scale:

Comment “SYSTEM”
(and yes follow, or it won’t make sense)

[zegalone @_zegalone]

@Carnije739 Check your DM

[zegalone @_zegalone]

Most AI voices get exposed in the first 2 seconds…
Not because the tool is bad.
Not because the quality is low.

But because people fix the problem the wrong way.
They use the right tools
but they think the wrong way.

The goal of a voice is not to sound “nice.”
Not clean.
Not studio-perfect.

The real goal is impact.
To slip past the listener’s guard.
To feel like the voice belongs in the scene, not forced on top of it.

That’s where most people mess up.
A voice has to match:
– the character (AI UGC, VSL, podcast, ads, etc.)
– the context (space, distance, environment)
– the mental state of the viewer

And it has to be designed with a precise prompt
that you can reuse consistently not random settings every time.

One voice for everything doesn’t work.
One preset for every ad doesn’t work.

I put all of this thinking , plus the exact method
into one Docs file:
– How to design a hyper-real AI voice without losing quality
– How to build a voice prompt that serves the goal, not the sound
– How I personally use this in production without the “AI giveaway”

If you want the doc:
Comment “VO”
and I’ll DM it to you
(you need to be following so I can message you)

This isn’t about tools.
It’s about thinking correctly.

[zegalone @_zegalone]

Why copying winning ads is the fastest way to stay stuck.

Here’s the uncomfortable truth:
Most people see a winning ad and copy the surface.

They copy the lines.
The hook.
The structure.
The pacing.

And they expect the result to transfer.

That’s the trap.

The original ad didn’t work because of the sentence
Or the music
Or the “formula”

It worked because it rebuilt belief.
Step by step...
It reframed how the viewer understood their problem
It created that internal moment where someone thinks:
“Wait… maybe the problem isn’t me”

When you copy the surface without rebuilding the internal logic,
you create a fragile ad.

It might:
– work for a few days
– show promising metrics
– make you think you found “the thing”

But the moment you:
– increase spend
– hit a slightly different audience
– or the creative fatigues

it starts breaking.

And then the loop begins: New hooks.
New edits.
New angles.
Still no stability.

Why?

Because you never owned the explanation , You borrowed it.

Smart copying isn’t cloning words.
It’s understanding where the belief shift happens
and rebuilding that shift using your market’s language, pain, and lived experience.

Same feeling.
Different logic.
Real understanding.

If you copy winning ads,
copy the thinking that made them win.

Anything else gives you short-term lift
and long-term stagnation.

[zegalone @_zegalone]

@davidfigeira Easy...
Just copy this workflow and thank me later:
Create a 1:1 JSON prompt for the character.
Generate the image with Nano Banana Pro.
Create the voice using 11Labs.
Go to Kling 2.0 Avatar.
Upload the image and the voice, hit Generate.
Boom congrats.

[zegalone @_zegalone]

One of the approaches I use is micro persona. When I build a buyer persona for a product, I choose a specific, distinctive angle and then develop a very focused
micro-persona around it.
I use Gemini Deep Research along with manual research as well.
Honestly, it’s one of the best methods it gives incredibly clear insight and direction.

[zegalone @_zegalone]

You can use this exact workflow I personally use it:

Create the image with Nano Banana Pro "Generate a JSON prompt using ChatGPT"

Animate it with Kling 2.6 split the clip into 10-second segments.

Assemble everything in CapCut, then change the voice using 11Labs Voice Design / Voice Changer.

And boom you’re done.

[zegalone @_zegalone]

@shalevhvs Finally, someone talked about this.
Tools are just puzzle pieces you have to assemble them every single time you work, There is no magic button that will suddenly create content or ads that make you thousands of dollars, real skills can’t be carried for you by AI

[zegalone @_zegalone]

@Lothbrok_77 Check your DM

[zegalone @_zegalone]

Listen...
It took me 7 minutes to get this testimonial...

And the funny part?

This result isn’t from Nano Banana Pro!
Not from VEO 3.1 !

And definitely not from those “best AI platforms” everyone keeps hyping. 🗑️

Most of those platforms are doing one thing behind the scenes:

they’re just wrapping VEO + Sora APIs…
and still giving you mid results. 🤡

Here’s the truth nobody wants to say 👇
The secret isn’t the platform.
It’s how you actually use the tools

Knowing:
- when a model breaks
- which model can hold a product
- which one works for testimonials
- which one is only good for B-roll

It’s not one fixed solution!!

It’s a puzzle 🧩
And you rebuild it every single time you create a video!!

If you want to understand how I actually think and work,

follow me so I can DM you.
Comment “REAL AI” 👀🔥

[zegalone @_zegalone]

@username37297 Done . Check your DM

[zegalone @_zegalone]

the future will completely change AI UGC and it will be better. Right now, I’m literally using AI-generated testimonials only, and there is absolutely no difference between them and human made ones. I agree that at the moment there are some tasks or types of videos where AI doesn’t work well, but in certain tasks it’s already producing results that feel completely human. The time is coming, and we’ll see it....

[zegalone @_zegalone]

You’re still paying $100 for 10 videos?
To those “magic AI websites” that promise high quality
and then dump AI slop, recycled hooks, and dead templates on you?

Bro...WTFFF…
Do you actually believe this?

Let me tell you the part nobody says out loud "no drama"

If you haven’t looked into this deeply, with all respect…
you’re getting played.

Here’s the reality of AI:

There are models.
Each model has an actual owner.
Google → VEO
OpenAI → Sora
etc.

All those shiny websites you see right now
“make everything in seconds,”
“cinematic quality,”
“no skills needed”

every single one of them is just reselling APIs from those same model providers.
"Without naming names you know exactly who they are.”

Let’s do simple math.
$100 for 10 videos.
Insane.

VEO 3.1 Full costs $0.75 per second.
With $100, you get about 2 minutes and 13 seconds of insanely high-quality output.

And the funny part? 😂
Those “AI platforms” don’t even use VEO Full
because it’s too expensive for them.

They use VEO 3.1 Fast at $0.15 per second.
That means with the same $100,
you could generate 11+ minutes of AI footage yourself.

Eleven. Minutes.

Meanwhile those sites would charge you
$200–$300 worth of “credits”
for the same thing.

“See the difference? Try it yourself. Go look it up, do the math, even ask ChatGPT you’ll see it for yourself”

Same logic applies to everything: Seedance.
Kling.
Sora.
All of it.....

This is why the people who actually scale in silence
(the ones doing real numbers I know them personally)
don’t use public platforms.

They build their own systems.
Lower cost.
More control.
Way better output.

If I’m being honest, the ONLY platform right now that gives real value + flexible workflow is Higgsfield.
But long-term?
Building your own system always wins.

Cheaper.
Cleaner.
Unlimited.

That’s what’s happening behind the scenes.

No BULLSHIT And No shortcuts.
Just people who understand the game

Follow if you want to be part of the elite not the ones funding AI slop

[zegalone @_zegalone]

This is spot on. The real strength of a VSL isn’t the words or the formula, it’s the belief it builds and the emotional logic behind it. You can copy the structure, sure, but if you don’t rewrite it in your own voice and speak to the customer like a real human consciously and subconsciously it always feels hollow. That’s why I still love VSLs. When they’re done right, they don’t push a product, they quietly reframe how someone understands their problem.

"Make More VSLs"

[zegalone @_zegalone]

@oyemahi_ Check your DM