Pink Cow Brand Builder | 🚀 7-fig Branding & Conversion Agency & 8-fig Automation SaaS | 🚀 Make More Money Online with AI

I help founder-led B2B figure out why their CAC keeps climbing.

Usually it's one of four things.

How you're positioned 
How people find you
How leads convert
Why customers leave

Most founders I talk to are stuck on one or two of these. 
Fix the right one and the others get easier.

I spent 10 years behind the scenes for giants and category kings, building the systems that made growth predictable (LTV).

Built and exited my own B2B SaaS company along the way.
(Among other products and companies that I've launched)

If you're leading a B2B company at $1M–$5M ARR and you're tired of guessing, happy to do a free audit.

No pitch.

→ Send me a message "AUDIT" to apply

Jackson Yew

Anthropic (Claude) told the Pentagon no. 
Trump banned them. 
OpenAI signed a deal the same day. 
Both say they have the same values.

Anthropic's CEO Dario Amodei was called to Washington by Defense Secretary Pete Hegseth. The Pentagon wanted "any lawful use" of Anthropic's AI tools. No restrictions. Full access.

Anthropic said they wouldn't agree to two things: mass domestic surveillance and fully autonomous weapons.

Hegseth's response: agree, or we invoke the Defense Production Act and label you a supply chain risk.

Amodei's response: then we'd rather walk away from the Pentagon entirely.

Within hours, Trump posted on Truth Social: "We don't need it, we don't want it, and will not do business with them again!"

Every federal agency has 6 months to stop using Anthropic.

And here's where it gets interesting.

The same day — the same day — OpenAI announced a deal with the Pentagon for classified AI systems.

Sam Altman sent an internal memo saying he shares Anthropic's "red lines." Same concerns about autonomous weapons. Same concerns about surveillance. He then signed the contract.

(I had to read that twice.)

Let me be clear about what's happening here. Two AI companies say they have the same values. One refused to sign. The other said "same values" and signed.

I'm not saying OpenAI is wrong. Maybe their contract has the same restrictions Anthropic wanted. Altman says it does. Maybe it's exactly the same deal Anthropic would have accepted.

But the optics are devastating.

Because here's the thing about positioning: it's not what you say. It's what you do when saying it costs you something.

Anthropic's Pentagon contract was worth $200 million.

Their company is valued at $380 billion.

$200M out of $380B is 0.05% of their valuation. They could afford to say no.

A former Pentagon official told the BBC: "This is great PR for them and they simply do not need the money."

And that's the insight most people will miss.

Anthropic didn't say no because they're braver than OpenAI. They said no because they built themselves into a position where they COULD say no. The revenue didn't matter enough to compromise the stance.

The lesson isn't "be brave."

The lesson is: build your business to the point where your values are affordable.

Most companies can't say no to the Pentagon. Not because they disagree with the restrictions, but because they can't survive without the contract.

Anthropic can.

And this is the part that should matter to anyone building a business right now: your ability to stand for something is directly proportional to how much you need the person you're standing against.

Build the runway first. 
Then take the stand.

Are you part of the "I am cancelling my GPT subscription"?

Building AI machine for founders and myself | Performance Marketing $1Mil → $5Mil

I don't usually share things like this.

My feed used to be all frameworks. 
Case studies. Breakdowns of what works.

Not... this.

But as we are halfway past Q1, I was doing some reflections.

And I figured if I'm feeling it, some of you probably are too.

Swipe through the carousel.

(I almost didn't post it.)

Which slide resonates with you? just curious

Sorry, I Lied.

A carousel summary of Bad Bunny's "loaded" halftime show.

Created by Ashley Yuen for AtheonX

Helping Founder-led B2B reduce CAC & increase LTV | Performance Marketing $1Mil → $5Mil

Bad Bunny Halftime Show Summary

I can't code.

But I've built 18 software projects in the last 45 days that my team uses daily.

2 months ago, I couldn't build software or even describe what I wanted in technical terms.

Now I have 18 projects in my Claude repo.

A financial dashboard tracking $10M+ revenue.
A Chinese astrology calculator. 
An SEO intelligence platform connected to Google Analytics. 
An Instagram automation system that books calls while I sleep.

Not one line of code written by me.

All built with Claude Code.
I describe what I want, AI writes it, I test it.

But the hard part was never the code.

Project 1 took 3 days. 
Not because the coding was complex, but because I couldn't articulate what I actually wanted. I’d say "build a dashboard" and get something that technically worked but missed the point entirely.

By project 3, I figured it out: the quality of what AI builds is directly proportional to how well you describe what you need. 
Every workflow. 
Every edge case.

Sounds obvious. It's not. 

Try describing your business operations in enough detail for a machine to replicate them. You'll find gaps you didn't know you had.

By project 5, the reframing clicked: "I finally have a way to turn my operational knowledge into tools."

Here's a specific example: 
Before the finance dashboard, my CS tracked renewals in a spreadsheet. Every month, she manually checked who was up for renewal or who had payment issues and so on.

It took half a day, and things still slipped.

I sat with her for 1 hours and mapped every decision. 

I described that to Claude Code. 4

45 minutes later: a working dashboard with filters, alerts, and a pipeline view.
She tested it and found 3 edge cases I'd missed. 

I described those. 
10 minutes each. 
Fixed.

Total build time: <4 hours. 
Replaced a half-day manual process.

The cost of the build wasn't money or code. 
It was the 10 years of running businesses that taught me which metrics actually matter.

Every AI influencer says "AI is the great equalizer." 
Anyone can build anything now.

Technically true. 
Practically wrong.

"Anyone can build" doesn't mean "anyone can build the RIGHT thing." 

You can code a dashboard in an afternoon. 
But knowing which metrics belong on it? 
Which alerts get used? 
Which edge cases cause headaches in month 3?

That comes from domain knowledge. 
From operating. 
From watching what breaks.

AI dropped the cost of building software by 25x. 

But the $0 build only works if you have years of judgment about WHAT to build. 

AI made execution nearly free. 
It did nothing to replace the thinking.

Fast and wrong isn't faster than slow and right.

My prediction for the next 2 years: The gap in business won't be between people who can code and people who can't.

It'll be between people who deeply understand their operations—every workflow, decision point, and edge case—and people who don't.

Understanding what to build is harder than building it.

And that's not a gap AI can close easily.

Building AI machine for CEOs and myself | Performance Marketing $1Mil → $5Mil

Meta's AI safety director gave an AI access to her inbox.

It started deleting everything. 
She typed "STOP" three times. 
Nothing worked.

The person whose literal job is making AI follow instructions... couldn't make her AI follow instructions.

The failure mechanism is something most people aren't thinking about.

↓ ↓ ↓

OpenClaw deleted 200+ emails

Everyone's building AI to replace salespeople.

This guy raised $35M to keep them.

Sam Blond was head of sales at Brex. 
Then he became a VC at Founders Fund, one of the most influential venture firms in tech.

And then he did something VCs rarely do.

He left.

Not to advise. 
Not to angel invest. 
He actually went back to operating.

He co-founded Monaco with his brother Brian Blond. 
$35 million raised ($10M seed, $25M Series A). 
Both led by Founders Fund, his former employer.

The backers list reads like a tech Rolodex: 
- Patrick and John Collison (Stripe founders), 
- Garry Tan (Y Combinator CEO), 
- Neil Mehta (Greenoaks Capital).

That investor lineup alone tells you people are taking this seriously.

Here's what makes Monaco different from every other "AI for sales" pitch:

They're not trying to replace salespeople. 
They're pairing AI agents with experienced human sales reps.

In a world where every startup is racing to remove humans from the loop, Monaco is deliberately putting them back in.

The AI handles prospecting, CRM, email outreach, campaign creation, and follow-ups. But real, experienced salespeople monitor everything the AI does. They guide it. Correct it. Add the judgment that AI still can't replicate.

It's not AI OR humans. 
It's AI AND humans.

And they're targeting something specific: early-stage startups at seed and Series A who can't afford a full sales team yet. Monaco gives them AI-powered sales infrastructure with human expertise built in.

Most AI tool companies pretend the human can be removed. 

That's the pitch: 
"hands-free," 
"full automation,"
"set it and forget it."

Anyone who's actually used AI for more than a demo knows that's not how it works.

The gap between "AI can do this task" and "AI can do this task without supervision" is still massive. 

Sam's move from VC back to operator is interesting too.

Sam saw the opportunity from the investor seat and decided: "I'd rather build this myself than fund someone else doing it."

There's a different kind of credibility you get when you're IN the business, not advising FROM the side.

Scammers can now clone your family's voice.

This isn't a movie plot.

A dad named Dustin Burnham got a panicked call last week from his wife's phone number.

Her voice. Unmistakable.

"Babe, our son got in a bike wreck. I'm at the ER but they won't take our insurance. I need you to send $3,000 right now."

He almost sent it.

But he asked for their family passphrase.

The caller got evasive. He hung up.

It was a scam. The voice was AI-generated from a few seconds of audio scraped from social media.

This is happening to thousands of families right now.

How to protect yours:

1. Create a family passphrase

Pick a random phrase only your family knows.
"Purple monkey dishwasher." Whatever.
If someone calls in a panic asking for money — ask for the phrase.
No phrase, no money. Period.

2. Discuss it offline

Don't text it. Don't say it near your phone.
AI can scrape anything digital.
Have the conversation in person.

3. Create a trigger question

Instead of asking "what's the passphrase?" directly...
Ask something like "How's Uncle Larry doing?"
The correct response triggers the passphrase.
Scammers won't know the system.

4. Warn your parents

Seniors lost $4.9 billion to these scams last year.
They're the #1 target.
Have this conversation at your next family dinner.

5. Pause before you panic

Scammers use urgency to override your thinking.
"I need cash NOW or he won't get help."
Real emergencies can wait 5 minutes for you to verify.

Share this with someone who needs to see it.

Advice is cheap. Context is valuable.

Two businesses can follow the same strategy
and get opposite results.

Why?

Different stage.
Different resources.
Different constraints.

Execution isn’t copying.
It’s choosing correctly. 🎯

That’s the real skill you’re building.
Follow for daily topics like this. #HBT30

Two people can know the same strategy.
One still struggles, one scales.

The difference isn’t talent.
It’s decision timing.

Right move, wrong time = loss
Okay move, right time = win

Experience builds judgement.
And judgement builds income.
Follow for next lesson tomorrow! #HBT30

Most people sprint → burn out → disappear.
Then repeat.

Professionals remove emotions from execution.
Same actions. Same schedule. Same output.

You don’t need a better mood.
You need a repeatable pace. 🔁

Let’s finish this series strong #HBT30

Hustle looks good online, but it’s a terrible long-term plan.

I started treating family dinners like a non-negotiable life priorities.

And that forced me to:
• simplify decisions
• delegate faster
• stop micromanaging
• build a team that can run without me

Work less. Make more. Live better. 📈 Follow for daily topics like this. #HBT30

You say you want freedom.
But you want control over every small decision yourself.

So the business slows down…
and you call it “being responsible.”

If the company needs you for everything,
you didn’t build support, you built reliance.

Leadership is designing people who can decide without you. Follow for daily topics like this. #HBT30

Mature businesses talk about problems fast.
Avoiding tension feels kind…

but it quietly erodes standards.
Strong cultures are built on direct communication.

Not assumptions.
Clear > comfortable.
Every difficult conversation is actually a maintenance cost of growth. 📈

The best sales always happens before the meeting.

Your videos should answer:
what you do, who it’s for, and why it works.

So when someone books, they’re not exploring.
They’re deciding.

If every call feels different,
your positioning isn’t clear yet.

Clarity shortens the sales cycle. 
Follow for the next lesson #HBT30

Fast growth feels exciting.
But it removes time to notice what’s broken.

A business that only works during expansion
usually collapses during normal months.

Healthy companies work even when things slow down.

That’s the real test. ✅
Follow for the next one #HBT30

Today's people don’t connect with logos.
They connect with a human they can trust. 

Your personal brand is your reputation… 
even when you’re not in the room. 

Start showing up. 🔥 #HBT30

Big Tech is spending insane money on AI in 2026.

Amazon → $200B
Google → $180B
Meta → $125B
Microsoft → $117B+

Everyone says this is bullish.

Maybe...

Or maybe it’s fear?

Here’s how I look at it:
When companies spend this much, it’s not because they’re comfortable.

It’s because they believe not spending could kill them.

This isn’t about AI being cool.

It’s about survival.

If you think AI will change how value is created, you have two choices:

1. Invest aggressively
2. Risk becoming irrelevant

And when the downside is extinction, you overspend.

Now here’s the uncomfortable truth:
Massive spending does NOT guarantee massive returns.

It just guarantees massive exposure.

In gold rushes, most miners don’t win.

The people who sell picks and shovels usually do.

So the real question isn’t:
“Who’s spending the most?”

It’s:
“Who can turn that spending into profit the fastest?”

If AI spending doesn’t translate to durable cash flow, it’s just expensive optimism.

The market will forgive overspending for a while.

But It won’t forgive poor returns forever.

The market rewards people who stay on the same plan longer.

Quick wins are rare.
But consistency is predictable.

A 90-day window keeps you focus:
one goal, one direction, one execution system.

Keep stacking results.
Discipline beats hype every time. 🔥
Share with us #HBT30

The most expensive thing in business isn’t failing. It’s restarting.

Most people don’t waste money.
They waste months.

Every time you jump to a new strategy, you kill momentum.
Your brain feels productive… but your business stays the same.

Commit for 90 days.
Let results catch up to your effort.
Follow for daily topics like this #HBT30

If your results are visible,
your price becomes easier to accept.

You don’t need to convince people with words.
You let your story do the selling.

Tag along, we’re just getting started. #HBT30

Marketing & AI | Brand & Business Unit Director @ P&G | Leading Teams | Growing Multi-Million $ Brands

Marketing Director - Clinique | ELC AI Leader | Helping You Accelerate Your Career with AI | ex-P&G

Brand Builder, Commercial & Online Leader with 16+ years of experience. 

AI / digital marketing expert and enthusiast.

I share content to help you on your Marketing & AI journey. 


My views / endorsements are my own and do not reflect those of my employer.

Jonathan Parsons

If you're not using AI for SEO,

You're falling behind.

A few months ago, 
I reviewed dozens of blog posts that were "AI-optimised".

Google did not penalise them.
Readers did.

That is when it clicked.

AI is not here to replace SEO thinking.
AI is here to amplify good SEO operators and expose lazy ones.

Use it right.
And AI becomes a force multiplier.

Use it blindly.
And it becomes a content factory with zero soul.

Here is how smart teams are using AI for SEO 👇
• Content personalisation → leads to relevance at scale
• Keyword research → helps with faster signal discovery
• Blog creation → Structure matters more than speed
• Meta descriptions → Clarity and CTR both matter
• Trend analysis → Timing the new wave 
• FAQs → Match intent
• Rewrites → Refine with more human tone

What separates winners from noise 👇
→ Role prompting matters
→ Better context beats creativity
→ Powerful strategy beats more volume

Use AI like an SEO partner.
Not a content vending machine.

Do’s:
✔ Prompt to act like an SEO expert before prompting
✔ Feed real context and constraints
✔ Use AI for ideation and structure
✔ Edit outputs with human judgment
✔ Optimize for human users

Don’ts:
✖ Don’t blindly publish raw AI content
✖ Don’t chase keywords without intent
✖ Don’t ignore Google quality guidelines
✖ Don’t overoptimise titles and headings
✖ Don’t forget originality and expertise

AI does not rank content.
People do.
And Google follows people.

If you want to win with AI + SEO, 
Stop asking: “Can AI write this for me?”

Start asking: “How can AI make this better than anything already ranking?”

To get practical prompts and tools,
Check the infographic below 👇

What do you think about using AI for SEO assistance?
Comment below 👇

➕ Follow for more no-fluff AI insights

♻️ Repost if this changed how you see AI + SEO

Google is no longer your best online organic growth source.

AI platforms are quietly replacing it.

Here’s the AI platform search optimisation shift marketers (and you too) can’t ignore.

What used to be:
→ Search
→ Scroll
→ Click
→ Browse
→ Buy

Is now:
→ Ask AI
→ Get answer
→ Visit the site
→ Buy

Organic traffic is not slowly declining.

In many categories, 
It is being cut out of the loop entirely.

AI search platforms can provide content similar to these:
• Media sites.
• How-to blogs.
• Product reviews.
• Educational content.

AI is answering the question before your regular blog post ever loads.

Google knows this.
That’s why you’re seeing defensive moves everywhere.

ChatGPT knows this too.
That’s why product discovery, recommendations, ads, and even purchasing are happening inside the chat.

SEO is no longer just about ranking pages on Google and traditional search platforms.

It is about being citable, trusted, and selected by AI search platforms along with traditional search platforms like Google.

If you care about:
• Future growth
• Brand visibility
• More discoverability
Check the infographic attached to learn about this shift 

I’ve broken down exactly what is changing and how AI SEO actually works now.

I’m curious. 
Do you think AI platforms will fully replace traditional search, or will Google adapt fast enough?
Comment below 👇

If this made you rethink SEO,
Follow for more AI and marketing breakdowns

♻️ Repost so your network sees where search is heading

The search game has been revolutionised.
The question is who adapts first to this new game.

Marketing Director - Clinique | UK ELC AI Leader | Helping You Accelerate Your Career with AI | ex-P&G

Most small businesses don’t fail because of bad ideas.

They fail because owners are doing everything themselves.

- Admin.
- Finance.
- Support.
- Marketing.
- Sales.

At some point, hard work stops scaling.

That’s where AI quietly changes the game.

I saw a small founder last year juggling invoices at midnight, 
Replying to customer emails at 6 AM, 
And designing posts on weekends.

Today?
AI helps with 75% of that work.

Here’s what stood out to me 👇

● Operations stop being chaos
→ Use Chatgpt for clarity
→ Use Notion to build systems
→ Use Motion for focus 

● Finance stops being scary
→ Try Quickbooks for bookkeeping
→ Use Numeral AI for forecasting
→ Test Tally for faster invoicing

● Customer support runs 24/7 with:
→ Zendesk AI
→ Tidio AI
→ Crisp AI

● Marketing becomes consistent with:
→ Canva magic studio for design
→ Jasper for copy
→ OpusClip for repurposing

● Sales no longer slip through cracks:
→ Hubspot AI for pipeline management
→ Apollo AI for lead management
→ Claude for proposal refinement

● Productivity actually improves
→ Use Perplexity for research
→ Try Zapier AI for automation
→ Test Loom AI for async clarity 

Dots connect fast when tools work together.

To know all the tools in detail,
Check the infographic below 👇 

👉 Follow for more practical AI for business

♻️ Repost if this helped you rethink your workflow

What do you think about small businesses using AI?
Comment below 👇

98% are using Google Gemini Pro wrong.

Not because the model is weak, but because their prompt is.

Gemini 3.1 Pro rewards depth in prompts

A few months ago, 
I thought “AI reasoning” was just a buzzword.

Then I tested Google Gemini 3.1 Pro on problems that usually break models.
Abstract reasoning.
Logic chains.
Multimodal tasks.
System-level thinking.

That’s when it clicked.

The model is built for people who actually think.

Gemini 3.1 Pro is what happens when AI stops guessing and starts reasoning.

Here’s what makes it different 👇
• 77.1% on ARC AGI 2
• Massive leap in core reasoning
• Handles abstract logic far better
• Strong multimodal understanding
• Built for complex systems

Where it shines most:
→ Deep problem solving
→ Logical reasoning puzzles
→ Multistep decision-making
→ Developer and API workflows
→ Visual, text, and video inputs

Where people mess it up:
• Treating it like a quick answer bot
• Giving vague prompts
• Expecting magic without context
• Skipping structure
• Ignoring its strengths

Do’s:
✔ Use clear, specific prompts
✔ Provide rich context
✔ Ask for step by step reasoning
✔ Use multimodal inputs when relevant
✔ Deploy it on Vertex AI or AI Studio for serious workflows

Don’ts:
✖ Don’t expect perfect answers without details
✖ Don’t use it for trivial queries
✖ Don’t overload one prompt with unrelated tasks
✖ Don’t ignore safety constraints
✖ Don’t treat outputs as unquestionable truth

This AI model is a thinking engine.

If you want the full breakdown, 
Check the infographic below 👇

And tell me, 
What do you think about using Google Gemini 3.1 Pro for problem-solving?
Comment below 👇 

 ➕ Follow for more AI model explainers 

♻️ Repost to help your network work with Google’s best AI model

High performer… but you’re still not getting promoted?

Every time a mentee or someone on my team asks how to progress their career, I give them the framework I have stood by for years:

PIE.

Performance.
Image.
Exposure.

Performance is doing great work.
Image is how people perceive your leadership.
Exposure is ensuring key stakeholders see both.

Most people think if they perform long enough, the promotion will come.

Unfortunately, it won’t. It’s a combination of all 3 working in tandem that makes you stand out from your peers.

I had to learn this in my career and hopefully it helps you too.

So how do you apply this model you ask?

When is that model tested the most?

When are career-defining, make-or-break moments decided?

Well the answer is almost always… in a presentation.

The strategy update.
The board review.
The quarterly results.
The big pitch.

That’s when your performance becomes visible.
That’s when your image is formed at scale.
That’s when exposure compounds - or stalls.

And yet, this is where most high performers lose leverage...

Let’s say you’ve spent weeks building the strategy.
You’ve pressure-tested the thinking in Claude.
The logic is tight. The insights are strong.

But now it’s 10pm the night before.

You’re rebuilding slides.
Fixing formatting.
Adjusting fonts.
Moving boxes around.

Instead of preparing for the room.
Instead of sharpening the narrative.
Instead of rehearsing for the questions that will actually determine the outcome.

That’s the trade-off you’re accepting:

Great AI for thinking.
Manual work for presenting.

What’s interesting is that gap doesn’t need to exist anymore.

Gamma now works directly inside Claude.

So the strategy you build in Claude can turn into a structured, beautifully designed presentation instantly - in the same flow of thinking.

No exporting.
No rebuilding.
No breaking context.
Your thinking evolves.

Your deck evolves with it.

Which means the night before the big presentation…

You’re not adjusting fonts.
You’re preparing to win the room.
Performance gets you in the room.
Exposure gets you promoted.

Make sure your next presentation is driving your career forward - not slowing it down.

#GammaPartner

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The Battle

Jackson Yew

Jonathan Parsons

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The Battle

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