Video marketing to activate more users, increase user engagement and drive more product growth. My videos helped to fundraise $10M Tech Start-up | Worked with +15 World Class Companies ⤵

Creating content fast isn’t optional anymore.

Brands that win are those that test more ideas, publish more variations, and get to content-market fit before the competition does.

But most founders and lean teams face the same problem:

❌ Creative is slow
❌ Workflows are broken
❌ Testing takes weeks

I help you solve this with AI.

I build custom AI-powered creative systems that:

- Turn 1 hour into 30+ assets per month
- Systemize your content & ad production
- Let you test faster and find winners sooner

Whether you're a solo founder, lean in-house team, or a fast-moving agency.

I help you go from chaos to clarity, without needing a full creative department.

These systems are designed for:

✅ Content flywheels
✅ Advertising pipelines
✅ Brand consistency at scale

Past content has generated 8M+ views and supported $10M+ in client revenue.

🔗 Want to scale content like a media team without hiring one?
DM me “SYSTEM” and I’ll show you how it works.

Alex Tanoa

I shouldn't give this away for free but ... fuck it.

I built the complete Pletor AI setup guide.

For building marketing agents that ship 30 creatives in 3 days.

(Perfect for any Established Ecom Brands making $50k to +$100k/mo)

Here's what's inside:

→ Universal Implementation Guide  
→ 8-Phase Workflow Architecture  
→ Quick Setup Checklist  
→ Master Reference JSON

This is the exact system I use to: 

- Replace 6-week production cycles with 72 hours
- Cut creative costs by 70%
- Maintain 99% brand consistency
- Generate unlimited ad variations

Most agencies charge $5K+ for this framework.

Now you can build creative agents at scale without any headaches.

Thanks for Ferdinand Terme & his team for building this killer tool.

After creating +100 creatives using this exact guide, I'm giving it away.

Because I'd rather see 1000 brands scale with AI than keep this locked up.

The brands using this are shipping faster than their competitors can book a photoshoot.

While others wait weeks for creators.

You'll have 30 scroll-stopping ADS ready to test.

---

Comment "SETUP" and I'll send you the full guide.

(Must be connected Alex Tanoa so I can DM it to you)

♻️ Repost to get INSTANT access, ZERO BS.

Alex  Tanoa 

I Ship 30 AD Creatives in 3 Days With AI Creative Intelligence

This cheatsheet cuts AI prep time by 90%. 

While keeping your outputs looking premium. 

Most ecom brands waste hours fixing bad AI generations. 

Because they skip the one step that matters most: 

>Clean input assets before loading it inside Pletor

I've generated 100+ AI visuals for online & DTC brands. 

And 90% of "fake-looking" outputs trace back to messy product dastasets.

You can't feed AI a blurry iPhone shot with limited angles, shadows and noises

And expecting studio-quality ads.

The tool doesn't matter if the foundation is BROKEN.

I use a simple pre-AI checklist for every product:

✓ Ghost mannequin (invisible form)  
✓ Clean white background  
✓ Even lighting (no harsh shadows)  
✓ Full garment in frame  
✓ Texture/pattern clearly visible

This gives AI clean reference data. 

So it can generate 30+ on-brand variations with more chances to convert.

Same consistency. Zero reshoots. 70% lower costs.

Your result?

Brands go from 3 creatives/month to 30.

Without hiring creators or booking studios.

I documented my entire system in this free Cheatsheet.

You can have it for FREE today!

It's the exact product lifestyle setup I use before any AI workflow.

Comment "CHEATSHEET" and I'll send it over.

(Must connect with me Alex Tanoa so I can DM it to you)

♻️ Repost this post for instant access. NO BS.

I spent 2 hours fighting with AI to get this pattern right.
And kept losing. Here's what happened...

Client brief: Premium golf imagery with micro-print pattern on polo.

Should be easy with AI, right?

Wrong.

Attempt 1 → Pattern too large
Attempt 2 → Right scale, blurry
Attempt 3 → Two-stage workflow, still soft
Attempt 4 → Perfect mask, pattern degraded

I tried Flux, Runway, Nano Banana Pro 

Every prompt trick.

Perfect composition. Right scale.

But micro-detail sharpness? AI couldn't hold it.

Then I realized: I was fighting the wrong battle.

The question wasn't "How do I force AI?"

It was "What is AI actually good at?"

AI excels at → Composition, lighting, poses
AI struggles with → Hyper-detailed micro-patterns

The solution? Hybrid workflow:

AI generates perfect scene inside Pletor (15 min)
Manual composite adds pattern (15 min)
Result: Image on-Brand perfect

The lesson:

The best AI strategy isn't "AI for everything."

It's knowing when to stop using AI.

Most optimize for full automation.
Winners optimize for the right division of labor.
___

The full framework I use has 5 decision points. 

⚡ Comment 'HYBRID' and I'll send you the one-pager.

(Must be connected with me Alex Tanoa so I can DM you)

New chapter. Same mission: Scale AI content 10x Faster.

I'm joining forces with SCALE AI - Canada's AI Cluster & Draft & Goal  

My role: Multimodal Workflow Architect.

Translation: I design image and video AI workflows that turn hours of manual work into minutes of automated execution.

Here's what caught my attention about DNG.AI:

TotalEnergies  cut costs by 92% while boosting productivity 1,200%.

Turo  automated thousands of pages at $1 per page.

No-code. 
Drag-and-drop. 
Agentic workflows.

This is content automation at enterprise scale.

But here's the real play:

I'm not just building workflows behind closed doors.

I'll document publicly here and there.

Every workflow. 
Every breakthrough. 
Every lesson.

Why? Because the gap between AI capability and practical implementation is still massive.

>Brands & Businesses need these systems. 

>Agencies need these systems. 

>Creative teams need proof it works at scale.

So I'm building in public showing exactly how multimodal AI workflows transform content operations.

Now growing with one of the fastest-growing automation platforms.

Same obsession. 
Bigger canvas. 

🔺Make sure to follow the page Draft & Goal  to not miss anything.

Let’s create without limits

No alternative text description for this image

AD fatigue is killing your ROAS right now

3 weeks for one video is insane

Your competitors are now testing 30 new ads everyday.

To fix this here’s what I'm giving away today:

My complete AI workflow system for eCommerce brands.

100% Powered by Pletor 

Your AI Creative Agent Companion.

It helps you:

→ Build a 10x faster content pipeline
→ Scale ad testing without burning budget
→ Increase ROAS by 4x with creative velocity

The math is brutal:

CPM for retail & CPG brands sits at $2-$10.

Most brands run out of fresh creatives in 2 weeks.

AD fatigue kills ROAS.

You're stuck choosing between:

- Paying $500+ per UGC video
- Waiting weeks for production
- Recycling dead creatives

Or you build an AI content engine.

That ships 30 social platform-native ads in 3 days.

For 70% less than traditional production.

Your main benefit isn’t “new CPM”

It’s lower cost per creative + more testing volume = better ROAS 

This system includes:

→ 8-Phase AI Workflow Architecture
→ Universal Implementation Guide
→ Quick Setup Checklist
→ Master Reference Files (JSON)

This is the exact framework I use everyday for DTC brands doing $300K-$5M in average sales per year.

---

Want it to understand how this works?
 
1. Connect with me Alex Tanoa 
2. Comment: “SETUP”
I’ll send it to you. 

Ps: Repost for priority in the queue ⚡️

Most brands are preparing for the wrong AI future.
Here's my take on what creative gen AI will actually look like in 2026:

Everyone's obsessing over image quality.

"Which model generates the most photorealistic product shots?"

But that's not where the game is won.

The brands dominating in 2026 will master 3 things:

→ Velocity over perfection
→ System over tools
→ Consistency over creativity

Because here's the shift nobody's talking about:

In 2026, AI won't be your creative team.

It'll be your creative operating system.

- Not "generate 1 perfect ad"
- But "generate 50 variations in an hour"

- Not "beautiful product renders"
- But "brand-consistent content at infinite scale"

- Not "replace your team"
- But "turn 1 person into a 10-person studio"

The winners won't be using better prompts.

They'll be running tighter workflows.

→ Faster feedback loops
→ Automated iteration cycles
→ Brand DNA baked into every output

While everyone's chasing the "perfect AI render"...

Smart operators are building content engines.

That's the 2026 playbook:

Stop thinking in campaigns.

Start thinking in systems.

What's your take are you building tools or systems?

Most brands are preparing for the wrong AI future.

Here's what creative gen AI will actually look like in 2026:

Everyone's obsessing over image quality.

"Which model generates the most photorealistic product shots?"

But that's not where the game is won.

The brands dominating in 2026 will master 3 things:

→ Velocity over perfection
→ System over tools
→ Consistency over creativity

Because here's the shift nobody's talking about:

In 2026, AI won't be your creative team.

It'll be your creative operating system.

- Not "generate 1 perfect ad"
- But "generate 50 variations in an hour"

- Not "beautiful product renders"
- But "brand-consistent content at infinite scale"

- Not "replace your team"
- But "turn 1 person into a 10-person studio"

The winners won't be using better prompts.

They'll be running tighter workflows.

→ Faster feedback loops
→ Automated iteration cycles
→ Brand DNA baked into every output


This is how I generate 30 ultra-realistic creatives every month.

Without photoshoots. 
Without influencers. 
Without killing brand trust.

Most brands think AI = fast and cheap.

Then wonder why their ads look fake.

Here's what I do differently:

Phase 1: Pre-Production Setup
 → Brand assets mapped (logos, colors, typography)
 → SKU inventory created with variants
 → Model/talent references defined

Phase 2: Product Photography Protocol
 → 10 shots per SKU minimum
 → Multiple angles + detail shots
 → Consistent lighting + high-res only

Phase 3: AI Creative Execution
 → Brand DNA prompts configured
 → Test batch → iterate → scale
 → Platform-specific outputs

The result?
30 creatives in 3-5 days.
95%+ brand consistency.
 $10K saved per campaign.
4 weeks saved vs traditional shoots.

This is insane right?

Speed without inputs = garbage at scale.

System + inputs = 10x output without brand damage.

Want me to send it over?

1/Comment "BLUEPRINT"
2/Repost for my special prompt pack as bonus

(Must be connected with me Alex Tanoa to get it)

This is how I prepare AI workflows that actually work.
Most AI workflows fail at the input stage.

A creative agency sent me campaign assets last week:

>Low-res screenshots.
 >Random angles.
 >Low product details.

Then asked: "Can you automate our pipeline?"

Here's the truth:
Your AI is only as good as what you feed it.

Before I automate anything, clients go through:

Brand DNA Extraction 
→ exact specs documented

 Asset Audit 
→ score quality, flag gaps

 Input Standardization 
→ naming, structure, templates

The result?

30 on-brand creatives in 3 days.
 
>70% cost cut. 
>Lower revisions.
>Faster output deliveries
>Scale content pipeline 10X faster

Most skip this because it's not sexy.

But it's the difference between AI that saves $30K and AI that kills trust.

Want my complete asset prep system + health assessment magic prompt?

Easy:
→ Comment below "INPUTS"
→ Save this for later 

PS: I'll add up tomorrow a special gift 🎁 in the comments for the 10 first comments

(Must be connected with me Alex Tanoa so I can DM it to you)

Outlier Ventures

Product Engineer

LARI Labs

Core Engineer

reNFT Labs

Back End Developer

Blockchain Developer

Efiko

Blockchain Consultant

University of Groningen

Software Engineer

I worked as a teaching assistant for the Ethics course offered within the Computing Science bachelor track

Teaching Assistant

Fotofabriek

Versatile software engineer with vast experience in backend development. Web3 product manager and developer with great expertise in EVM and Cosmos ecosystem, NFTs and DeFi. 

Programming: 
- Javascript/Typescript
- SQL/NoSQL, Mongo 
- Solidity
- C#
- React/NextJs
- NodeJs/NestJs

Blockchain expertise in:
-DeFi
-NFTs
-RWA
-dePin
-Security 
-Product management
-VC funding  


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Victor-Cristian Florea

Followers

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Engagements

Likes

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