Tom

[Tom @TOM_AIAUTO]

@X_FINALBOSS insane

[ALEX SUZUKI @X_FINALBOSS]

Imagine you build an AI, and that AI says, “I’ll take it from here bro, lemme pitch myself to investors.”

… and it actually raises $30M at a $250M valuation. Well, that’s exactly what Ben’s Polsia did.

2026 has been the first year we’ve seen so many independent AIs achieve big things.

A few months ago, I was shocked to see an AI independently build a business to $1M.

But now, an AI getting a $250M valuation for itself independently is wild.

This insane growth rate is both exciting and scary at the same time.

[Tom @TOM_AIAUTO]

@Mattcannon_ecom ADS

[Matt Cannon @Mattcannon_ecom]

$1M+ in sales. $80,000 frozen overnight. 12 years of mistakes

here are the 5 numbers I’d check before spending a single dollar on ads

most new stores never look at them. that’s why most new stores lose money

1 → your break-even ROAS

a $25 product that costs you $15 needs $2.50 back for every $1 in ads just to break even. the median store on meta gets back about $1.88. do the math before you launch, not after

2 → 70%

that’s how many people add to cart and never buy. the ad did its job. something on your store sent them away

3 → almost half

that’s how many shoppers bail when shipping or fees show up higher than expected at checkout. surprises kill sales

4 → 73%

that’s how much e-commerce traffic is on a phone. if you’ve never bought from your own store on your phone, you’re guessing

5 → 0.5% vs 3.6%

my buddy Justin’s conversion rate before and after we fixed his page and ads. same product, same price, same traffic. about 7x the sales

here’s where it gets stupid

none of those 5 numbers are about the ad

most stores keep changing their ads when the leak is somewhere else. it’s like pouring more water into a bucket with a hole in the bottom

fix the bucket first. then pour

I put every check I run before launching an ad, plus the full system for finding a product, building the store and running your first campaign, into one book

comment “ADS” and I’ll send you the link

must follow so I can DM

[Tom @TOM_AIAUTO]

Steal my $500K auto-DM template.
It turns tweet replies → booked calls.

Works in TweetHunter

Trigger: someone replies "AI" to your post.

DM 1 (instant):
"Hey [name], here's the guide you asked for: [link]
Quick question: What's your business?"

DM 2 (after they reply):
"Nice. What's the #1 task eating your time right now?"

DM 3 (after they answer):
"Got it. I help [type of business] automate exactly that.
Want me to look at your setup on a 15-min call? [booking link]"

Why it works:

• Value comes first, no pitch in DM 1
• 1 question per message, so replying is easy
• You only pitch after they tell you their problem

Like this post and I'll DM you a few ebooks to learn more (not free)

[Tom @TOM_AIAUTO]

One guy built an AI app with zero funding.
6 months later, Wix bought it for $80M cash.

His name is Maor Shlomo.

In early 2025 he launched Base44.

The idea was simple:
Type the app you want. AI builds it.
Database, logins, and hosting included.

No VC money.
No big team.
No ad budget.

He posted the whole build in public, almost daily.
New features. Bugs. User counts. Revenue.

People followed along and became users.

The numbers:

• 250K users in about 6 months
• $189K profit in May 2025 alone
• Team of 8 people
• 100% bootstrapped

June 2025: Wix acquires Base44 for $80M cash.

What I take from it:

1. Posting daily was his entire marketing plan
2. He charged early, so he was profitable fast
3. AI let 8 people ship what used to need 50
4. Buyers pay for users and profit, not pitch decks

1 person with AI can now compete with a funded startup.

Like this post and I'll DM you the FULL lean AI ebooks.

[Tom @TOM_AIAUTO]

If you run an online business, automate these 9 things first.

Sales:
• Auto-DM anyone who replies a keyword
• Qualify leads with a 4-question form
• Send call reminders 24 hours and 1 hour before

Content:
• Turn every video into 10 posts
• Schedule a full week of posts in 30 minutes
• Rewrite your top 10 tweets with new hooks

Clients:
• Onboarding docs sent the second they pay
• Weekly check-in forms that summarize themselves
• Payment reminders that never forget

Set up all 9 and you get back 15+ hours a week.

Like this post and I'll send the exact tool for each one.

[Tom @TOM_AIAUTO]

In February 2024, Klarna made one of the biggest AI bets ever.

They put an AI assistant in charge of customer support.

Month 1 results:

• 2.3M conversations handled
• 2/3 of all support chats
• The work of 700 full-time agents
• Resolution time cut from 11 minutes to under 2
• 25% fewer repeat questions
• 35+ languages, 23 markets, 24/7

They projected a $40M profit boost for 2024.

The CEO went on every podcast he could.
The message: AI is replacing human support.

Then 2025 hit.

Customers started complaining.

The AI handled simple questions fine.
Angry customers, refund fights, weird edge cases?
It fell apart.

In May 2025 the CEO admitted they focused too much on cost.
Quality dropped.

So Klarna started hiring human agents again.

My takeaways for anyone automating support:

1. Let AI handle the repetitive 70%
2. Send anything emotional or complex to a human
3. Track customer satisfaction weekly, along with cost saved
4. Always make it easy to reach a real person

Like this post and I'll DM you the setup I use.

[Tom @TOM_AIAUTO]

Steal my $500K auto-DM template.
It turns tweet replies → booked calls.

Works in TweetHunter

Trigger: someone replies "AI" to your post.

DM 1 (instant):
"Hey [name], here's the guide you asked for: [link]
Quick question: What's your business?"

DM 2 (after they reply):
"Nice. What's the #1 task eating your time right now?"

DM 3 (after they answer):
"Got it. I help [type of business] automate exactly that.
Want me to look at your setup on a 15-min call? [booking link]"

Why it works:

• Value comes first, no pitch in DM 1
• 1 question per message, so replying is easy
• You only pitch after they tell you their problem

Like this post and I'll DM you a few ebooks to learn more (not free)

[Tom @TOM_AIAUTO]

12 tasks I'd hand to AI before hiring anyone:

1. Replying to DMs that ask the same 5 questions
2. Writing call notes and follow-up emails
3. Sending invoices the moment a deal closes
4. Turning 1 long video into 15 short posts
5. Sorting leads by budget before the call
6. Drafting inbox replies every morning
7. Booking calls straight from DMs
8. Summarizing 100+ community messages a day
9. Updating your CRM after every call
10. Pulling weekly revenue into one dashboard
11. Sending onboarding docs to new clients
12. Chasing unpaid invoices on day 3, 7, and 14

A VA costs $1,500/month. This stack costs under $100.

Reply "AI" and I'll DM you how to set up all 12.

[Tom @TOM_AIAUTO]

One guy built an AI app with zero funding.
6 months later, Wix bought it for $80M cash.

His name is Maor Shlomo.

In early 2025 he launched Base44.

The idea was simple:
Type the app you want. AI builds it.
Database, logins, and hosting included.

No VC money.
No big team.
No ad budget.

He posted the whole build in public, almost daily.
New features. Bugs. User counts. Revenue.

People followed along and became users.

The numbers:

• 250K users in about 6 months
• $189K profit in May 2025 alone
• Team of 8 people
• 100% bootstrapped

June 2025: Wix acquires Base44 for $80M cash.

What I take from it:

1. Posting daily was his entire marketing plan
2. He charged early, so he was profitable fast
3. AI let 8 people ship what used to need 50
4. Buyers pay for users and profit, not pitch decks

1 person with AI can now compete with a funded startup.

Like this post and I'll DM you the FULL lean AI ebooks.

[Tom @TOM_AIAUTO]

If you run an online business, automate these 9 things first.

Sales:
• Auto-DM anyone who replies a keyword
• Qualify leads with a 4-question form
• Send call reminders 24 hours and 1 hour before

Content:
• Turn every video into 10 posts
• Schedule a full week of posts in 30 minutes
• Rewrite your top 10 tweets with new hooks

Clients:
• Onboarding docs sent the second they pay
• Weekly check-in forms that summarize themselves
• Payment reminders that never forget

Set up all 9 and you get back 15+ hours a week.

Like this post and I'll send the exact tool for each one.

[Tom @TOM_AIAUTO]

In February 2024, Klarna made one of the biggest AI bets ever.

They put an AI assistant in charge of customer support.

Month 1 results:

• 2.3M conversations handled
• 2/3 of all support chats
• The work of 700 full-time agents
• Resolution time cut from 11 minutes to under 2
• 25% fewer repeat questions
• 35+ languages, 23 markets, 24/7

They projected a $40M profit boost for 2024.

The CEO went on every podcast he could.
The message: AI is replacing human support.

Then 2025 hit.

Customers started complaining.

The AI handled simple questions fine.
Angry customers, refund fights, weird edge cases?
It fell apart.

In May 2025 the CEO admitted they focused too much on cost.
Quality dropped.

So Klarna started hiring human agents again.

My takeaways for anyone automating support:

1. Let AI handle the repetitive 70%
2. Send anything emotional or complex to a human
3. Track customer satisfaction weekly, along with cost saved
4. Always make it easy to reach a real person

Like this post and I'll DM you the setup I use.

[Tom @TOM_AIAUTO]

12 tasks I'd hand to AI before hiring anyone:

1. Replying to DMs that ask the same 5 questions
2. Writing call notes and follow-up emails
3. Sending invoices the moment a deal closes
4. Turning 1 long video into 15 short posts
5. Sorting leads by budget before the call
6. Drafting inbox replies every morning
7. Booking calls straight from DMs
8. Summarizing 100+ community messages a day
9. Updating your CRM after every call
10. Pulling weekly revenue into one dashboard
11. Sending onboarding docs to new clients
12. Chasing unpaid invoices on day 3, 7, and 14

A VA costs $1,500/month. This stack costs under $100.

Reply "AI" and I'll DM you how to set up all 12.