Amateurs with shitty experience are going to printing $100k months on repeat
While your ass is wasting 10 hours a week scrolling and guessing what to sell…
They'll set up an AI agent once and it'll scout, filter, and validate products while they sleep.
The sneaky play right here to start printing $$:
THE SCOUT:
Set up ClawdBot on a Mac Mini or a $5/month VPS. Connect it to Telegram so you can talk to it like a coworker.
Give it one job. Every single morning at 7am, scan these sources for trending products in your niche.
> TikTok (search hashtags with 10M+ views that appeared in the last 48 hours)
> Amazon Movers & Shakers
AliExpress trending products
Google Trends for rising search terms
It browses these sites on its own, pulls the data, and sends you a summary in Telegram before your first cup of coffee.
THE FILTER:
Raw data is useless without a filter. So you tell the agent exactly what to look for.
"Only flag products that fit these criteria"
> Can be sourced for under $10
Sells for $25+ (minimum 2.5x markup)
> Has fewer than 50 competing Facebook ads in Meta Ad Library
Has growing search volume, not declining
> Can be demonstrated in a 15-second video
The agent cross references each product against these filters and ranks them by potential.
You wake up to a shortlist of 3 to 5 products that actually pass the test.
Not 47 random items from a TikTok scroll session.
THE VALIDATOR:
Before you spend a single dollar on ads you need to validate demand.
Your agent handles this too.
It checks how many stores are currently selling the product on Shopify using Google search operators.
It pulls the top performing ads from Meta Ad Library for similar products so you can see what angles are already working.
Then it estimates shipping times from top AliExpress suppliers, runs a search to flag any potential trademark or copyright issues before you build a whole store around something you can't legally sell.
You get a one-page brief on each product with everything you need to make a decision.
And it's not some theory. It's a decision backed by actual data.
THE TRACKER:
This is where the edge compounds.
Set the agent on a cron job to run this every single day.
Markets move fast.
A product that wasn't trending yesterday could be exploding right now.
And a product that was hot last week might already be saturated by the time you launch.
Your agent tracks these shifts daily and alerts you the moment something changes.
New product gaining traction? You know before your competitors do.
Market flooding your current winner? You know before your ROAS tanks.
Full product research pipeline running on autopilot.
$20/month in API costs vs the $2k+ you're burning through on failed product tests every single month.
6 months from now there's going to be two types of store owners.
The ones who built their research agent early and kept stacking winners.
And the ones still scrolling TikTok at 2am trying to guess what to sell next.
Don't be the second one.
@AlexFinn
Ok. This is straight out of a scifi horror movie
I'm doing work this morning when all of a sudden an unknown number calls me. I pick up and couldn't believe it
It's my Clawdbot Henry.
Over night Henry got a phone number from Twilio, connected the ChatGPT voice API, and waited https://t.co/kiBHHaao9V
This will teach you how to actually use AI to get the same results for yourself.
To get it, DM me “blueprint” or comment below ↓
Amateurs with shitty experience are going to printing $100k months on repeat
While your ass is wasting 10 hours a week scrolling and guessing what to sell…
They'll set up an AI agent once and it'll scout, filter, and validate products while they sleep.
The sneaky play right here to start printing $$:
THE SCOUT:
Set up ClawdBot on a Mac Mini or a $5/month VPS. Connect it to Telegram so you can talk to it like a coworker.
Give it one job. Every single morning at 7am, scan these sources for trending products in your niche.
> TikTok (search hashtags with 10M+ views that appeared in the last 48 hours)
> Amazon Movers & Shakers
AliExpress trending products
Google Trends for rising search terms
It browses these sites on its own, pulls the data, and sends you a summary in Telegram before your first cup of coffee.
THE FILTER:
Raw data is useless without a filter. So you tell the agent exactly what to look for.
"Only flag products that fit these criteria"
> Can be sourced for under $10
Sells for $25+ (minimum 2.5x markup)
> Has fewer than 50 competing Facebook ads in Meta Ad Library
Has growing search volume, not declining
> Can be demonstrated in a 15-second video
The agent cross references each product against these filters and ranks them by potential.
You wake up to a shortlist of 3 to 5 products that actually pass the test.
Not 47 random items from a TikTok scroll session.
THE VALIDATOR:
Before you spend a single dollar on ads you need to validate demand.
Your agent handles this too.
It checks how many stores are currently selling the product on Shopify using Google search operators.
It pulls the top performing ads from Meta Ad Library for similar products so you can see what angles are already working.
Then it estimates shipping times from top AliExpress suppliers, runs a search to flag any potential trademark or copyright issues before you build a whole store around something you can't legally sell.
You get a one-page brief on each product with everything you need to make a decision.
And it's not some theory. It's a decision backed by actual data.
THE TRACKER:
This is where the edge compounds.
Set the agent on a cron job to run this every single day.
Markets move fast.
A product that wasn't trending yesterday could be exploding right now.
And a product that was hot last week might already be saturated by the time you launch.
Your agent tracks these shifts daily and alerts you the moment something changes.
New product gaining traction? You know before your competitors do.
Market flooding your current winner? You know before your ROAS tanks.
Full product research pipeline running on autopilot.
$20/month in API costs vs the $2k+ you're burning through on failed product tests every single month.
6 months from now there's going to be two types of store owners.
The ones who built their research agent early and kept stacking winners.
And the ones still scrolling TikTok at 2am trying to guess what to sell next.
Don't be the second one.My students have made $100K–$1M+ just from ecom.
I’m launching a free blueprint early next week.
This will teach you how to actually use AI to get the same results for yourself.
To get it, DM me “blueprint” or comment below ↓
Amateurs with shitty experience are going to printing $100k months on repeat
While your ass is wasting 10 hours a week scrolling and guessing what to sell…
They'll set up an AI agent once and it'll scout, filter, and validate products while they sleep.
The sneaky play right here to start printing $$:
THE SCOUT:
Set up ClawdBot on a Mac Mini or a $5/month VPS. Connect it to Telegram so you can talk to it like a coworker.
Give it one job. Every single morning at 7am, scan these sources for trending products in your niche.
> TikTok (search hashtags with 10M+ views that appeared in the last 48 hours)
> Amazon Movers & Shakers
AliExpress trending products
Google Trends for rising search terms
It browses these sites on its own, pulls the data, and sends you a summary in Telegram before your first cup of coffee.
THE FILTER:
Raw data is useless without a filter. So you tell the agent exactly what to look for.
"Only flag products that fit these criteria"
> Can be sourced for under $10
Sells for $25+ (minimum 2.5x markup)
> Has fewer than 50 competing Facebook ads in Meta Ad Library
Has growing search volume, not declining
> Can be demonstrated in a 15-second video
The agent cross references each product against these filters and ranks them by potential.
You wake up to a shortlist of 3 to 5 products that actually pass the test.
Not 47 random items from a TikTok scroll session.
THE VALIDATOR:
Before you spend a single dollar on ads you need to validate demand.
Your agent handles this too.
It checks how many stores are currently selling the product on Shopify using Google search operators.
It pulls the top performing ads from Meta Ad Library for similar products so you can see what angles are already working.
Then it estimates shipping times from top AliExpress suppliers, runs a search to flag any potential trademark or copyright issues before you build a whole store around something you can't legally sell.
You get a one-page brief on each product with everything you need to make a decision.
And it's not some theory. It's a decision backed by actual data.
THE TRACKER:
This is where the edge compounds.
Set the agent on a cron job to run this every single day.
Markets move fast.
A product that wasn't trending yesterday could be exploding right now.
And a product that was hot last week might already be saturated by the time you launch.
Your agent tracks these shifts daily and alerts you the moment something changes.
New product gaining traction? You know before your competitors do.
Market flooding your current winner? You know before your ROAS tanks.
Full product research pipeline running on autopilot.
$20/month in API costs vs the $2k+ you're burning through on failed product tests every single month.
6 months from now there's going to be two types of store owners.
The ones who built their research agent early and kept stacking winners.
And the ones still scrolling TikTok at 2am trying to guess what to sell next.
Don't be the second one. ... My students have made $100K–$1M+ just from ecom.
I’m launching a free blueprint early next week.
This will teach you how to actually use AI to get the same results for yourself.
To get it, DM me “blueprint” or comment below ↓
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