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)

Arpit Singh

GTM, AI & Outbound | LinkedIn Content & Social Selling for high-growth agencies, AI/SaaS startups & consulting businesses | Open for collaborations

Hi, I’m Arpit. I build growth systems by combining LinkedIn content, social selling, and GTM workflows.

I’ve been in marketing, ops, and GTM for 6+ years, with the last 2.5 years deep in outbound and social selling. 

In that time I’ve:
→ Worked with 50+ B2B clients across SaaS, fintech, and services
→ Scaled GTM engines inside agencies
→ Reported directly to 15+ founders and CMOs
→ Built outreach systems delivering 300+ replies per month
→ Fixed inbox placement from 20% to 90% in 10 days
→ Automated more than 10,000 touchpoints each month

Who I work with:
→ Founders making $20K to $100K per month who need predictable growth
→ GTM teams scaling sales and content but lacking systems
→ Agencies that want inbound and outbound working together

What I do:
→ LinkedIn content and social selling playbooks
→ Cold outreach and deliverability fixes
→ Trigger-based workflows across LinkedIn and email
→ Full GTM systems including automation, dashboards and SOPs

Currently, I’m a GTM Engineer at Content Path helping B2B brands turn content and outbound into one scalable growth engine.

If you’re looking to align content, outbound, and systems into a GTM engine that compounds over time, DM me.

Growth Strategist

At Huemor we build memorable websites for brands like yours that earn more customers, outshine competitors, and help recruit top talent.

After a website redesign, our clients typically experience:
+ 83% monthly website visits
+ 94% increased conversions
+ 91% leads generated

📞𝙉𝙚𝙚𝙙 𝙤𝙪𝙧 𝙝𝙚𝙡𝙥? 🗓
If you need help improving your current website, building a new one, or generating more organic traffic, we'd love to talk about it.

Get in touch by either...
Messaging me here on LinkedIn
Booking a free strategy session: https://bit.ly/4cHNIGc

One of the hardest parts of sending 20K emails/month?

Email infrastructure setup.

The situation usually looks harmless.

Replies slow down.
The opens still look fine.
Nothing is obviously broken.

So teams assume it’s copy.
Or personalization.
Or the offer.

But that’s rarely the reason.

This happens because email infrastructure doesn’t fail loudly.
It degrades quietly.

Mailboxes burn.
Reputation slips.
Deliverability drops before dashboards warn you.

That’s why I’ve trusted Maildoso for over a year.

It fixes the boring part of outbound. And that boring part matters.

What made me stick with Maildoso:

• 98%+ inbox placement, even to Outlook
• In-house SMTP. No resold nonsense
• IP rotation that keeps things clean
• Self-healing mailboxes so campaigns don’t just… die
• $1.80–$2.50 per inbox, domains included

What Maildoso gave me wasn’t hacks or hype. 

It gave me predictability.

Outbound stopped feeling fragile. 

Replies started making sense again.

If you’re scaling cold email and replies dip without a clear reason…

It’s worth checking whether the problem is really email copy… 

or the infrastructure underneath it.


P.S. See the link in comments to check it out for yourself

I’ve been using HeyReach for 2+ years now.
What I’ve noticed every single time:
They ship fast when users ask for something.

Creators ask.
Customers ask.
Updates show up.

That’s the kind of product behavior GTM engineers respect.

A few weeks ago, they rolled out 2 updates.

Nothing flashy. But if you run LinkedIn outbound seriously, you’ll get why these matter.

1️⃣ Manager role

Access control used to be annoying.

You either gave someone Admin access 
or locked them down so much that they couldn’t really operate.

Now there’s a proper middle layer.

Managers can work inside external workspaces, run campaigns, manage users, see what matters without touching billing or permission settings.

If you work with agencies, contractors, or shared GTM teams, this removes a lot of unnecessary coordination.

2️⃣ Workspace API

This one’s clearly built for GTM engineers.

It covers the boring parts of scaling LinkedIn outbound
the stuff you normally fix with spreadsheets and Slack messages.

You can now:

• Create and manage workspaces
• Pull users by role or invite status
• Invite Managers, Admins, Members
• Create API keys per workspace
• Connect it with Make, Zapier, n8n, MCP, Public API

Which matters when you’re onboarding clients or spinning up new GTM pods regularly.

These aren’t exciting updates.

But they make your outbound setup easier to live with.

And that’s usually a sign the product is built for real operators.


Do you use HeyReach.io in your GTM stack or workflow?

I’ve been using Trigify.io for 1.5+ years now.

Now, I’ve been tracking 25+ LinkedIn profiles on it, mostly for my clients.

And one thing is very clear to me:

Posting on LinkedIn isn’t the hard part. 
Tracking what happens after is.

Most people stop at “posting consistently”.
That’s where the real problem starts.

What usually goes wrong...

1. Everyone tries to create content for their ICP
– very few do it consistently
– even fewer attract the right people

2. Some posts get engagement
– likes
– comments
– profile visits

3. And then… nothing
– no tracking
– no follow-up
– no system

That’s wasted INTENT.

What actually works (when you track it):

1. Lead magnet → warm outbound

→ Post a lead magnet
→ Track who engages with it
→ Enrich those profiles
→ Use that list for outbound

You’re no longer cold. You’re starting with context.

2. Competitor & creator engagement

→ Track engagement on competitor posts
→ Or people consistently posting in your niche
→ Scrape those interactions
→ Enrich the data

Now you’re reaching out to people who are already active in the problem space.

3. Keyword-based intent signals (underrated)

→ Track engagement around keywords like:

   ~ “intent signals”
   ~ “GTM Engineer”
   ~ “RevOps”

→ Build lead lists from those conversations

→ Reuse them for:
   ~ outbound
   ~ content ideas
   ~ account research

Same signal. Multiple plays.


Why I’ve stuck with Trigify.io, it’s not because it’s flashy. But how it turns LinkedIn activity into usable intent.

Post-level tracking.
Profile-level monitoring.
Keyword-level listening.

And now, workflows make this operational. 

Instead of exporting data, stitching tools, and manually following up, you can:
- track engagement
- enrich profiles
- route data where it needs to go
- trigger next steps automatically

They’ve also been adding integrations around enrichment, sequencing, and data sync, which makes these workflows practical in real GTM setups.

But the core idea stays the same: 

If you’re already creating content and doing outbound, you should be tracking who’s raising their hand.

Otherwise, you’re guessing. And guessing doesn’t scale.

This is the difference between posting content and building a system.

Do you actually know who’s engaging with your content?

taplio

The Battle

Alex Tanoa

Arpit Singh

Followers

Posts

Engagements

Likes

Performance ScoreAlex Tanoa's LinkedIn Performance

Performance ScoreArpit Singh's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Alex Tanoa

Arpit Singh

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Alex Tanoa's LinkedIn Performance

Performance ScoreArpit Singh's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAlex Tanoa's LinkedIn Performance