The best LinkedIn Posts

We now know why Apple didn’t release Apple Car 😂

On the other hand, Steve did the Jobs, Tim Cooked, and now John might Ternus around…

iCar with Apple Intelligence could be huge.

In the beginning, your problems feel massive because you have very little to work with.
No money.
No team.
No experience.
No leverage.

So every problem feels like survival.But success doesn’t remove problems. It upgrades them.

The difference is that over time, you gain resources.
Better people.
Better systems.
Better judgment.
More leverage.

You’re still solving hard problems. You’re just no longer solving them alone.

What Arsenal's victory has taught me ab…… (I joke) 😈

I grew up in North West London and all my classmates were Arsenal. It would have been so much easier to defect, but that would be spineless.

But how this club has been showing up on and off the pitch is undeniable.

I regularly cover their marketing work, from the women's team to the NTS and Aries collabs.

And at OK COOL we've got some of the most tapped in sports fanatics in the business. People who live for sport and London culture.

So as you can imagine, we talk about it a lot.

Everything about the club has been on point this season.

The management, the football (men’s and women’s), the marketing. 🤌

I live near the stadium and last night North London was shut down until the very early hours of the morning.

The energy was on another level. THOUSANDS packed out the Emirates.

Right now North London is the centre of the world for football.

Who was there....?

💚 ✌

The tools your team needs already exist.
You just haven't built them yet.

Most founders know they need a Wiki.
Most founders know they need templates.
Most founders know they need a QA checklist.
Most founders know their team needs AI training.

The problem isn't knowing.
It's the blank page that stops everything.

AI gets you past the blank page in minutes.

Not because it builds the tools for you.
Because it removes the reason to keep putting it off.

Here's how to use it for four tools your team needs right now:

1️⃣ Wiki.

1/ Paste your most common client and company info into AI.

2/ Ask: "Organize this into a simple Wiki my team can reference."

You get a structured first draft. 
You review and fill the gaps.

2️⃣ Templates.

1/ Paste five emails or processes you've actually used.

2/ Ask: "Turn these into reusable templates that keep my tone and structure."

Your voice is already in there. 
AI just structures it.

3️⃣ QA checklist.

1/ Describe your most common client deliverables.

2/ Ask: "What are the most likely errors? Build a checklist to catch them."

You get a solid starting point. 
You add your specific standards.

For each one the human does the same thing.
Read it. Adjust what doesn't feel right. Approve what does.

AI handles the blank page.
You handle the judgment.

4️⃣ AI training guide.

1/ Pick the three tasks your team handles most often.

2/ For each one, write down how you currently do it the steps, the standard, the context Claude needs to know.

3/ Paste that in and ask: "Turn this into a step-by-step guide my team can follow to handle this using Claude."

The guide reflects how your business actually works not a generic process.

Your team follows it. 
You stop answering the same questions.

The context is what makes it useful.
Without it you get a generic guide.
With it you get something your team can actually use.

Build the first version today.
Your team can use it tomorrow.

👊

Which of these four does your team not have yet? 💬👇

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♻️ Repost this if your team could use better infrastructure.

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The higher your title, the less truth reaches your desk.

Not because your team doesn’t want to tell you.

Because the cost of being wrong in front of you is too high - and they don’t yet know if you’re safe.

So you get the polite version.
The aligned version.
The version curated for your comfort.

And you make decisions based on a reality that has already been filtered.

5 things your team is thinking but won’t tell you:

1. We're testing you before we trust you

2. We still don’t know what you stand for

3. We're comparing you to your predecessor

4. We're watching to see if you protect us

5. Your title created an information vacuum

Your team is not withholding from you.

They're protecting themselves from a version of you they have not yet ruled out.

I’ll be honest… I hate most AI writing tools.

They either:

• sound nothing like you
• overcomplicate everything
• or just spit out polished nonsense you’d never actually post

So I went into Scripe expecting… more of the same.

And at first, it felt a bit weird.

Instead of just generating a post, it started asking me questions.

About what I wanted to say.
Who it was for.
What angle I cared about.

And I realised…

it’s not trying to write for me, it’s trying to think with me

That’s different.

My usual workflow before this was:

open doc → stare at screen → overthink → spend hours writing

With Scripe, it felt more like:

answer a few prompts → get a structured idea → refine it

Way less friction getting to something usable.

What I actually liked:

• it pulls ideas out of you instead of forcing random ones
• it suggests what type of post to write next 
• it tracks what performs and adapts

One thing I’m still not fully sold on:

I’d like a bit more depth on the visuals / asset side

Right now it’s very strong on writing + direction
but content is more than just text

What’s interesting though is the system underneath it:

→ official LinkedIn API connection, so it feels more stable than most tools
→ guided content creation that works more like a conversation than a generator
→ a knowledge base that connects to Notion, Slack, WhatsApp, YouTube, voice notes, etc
→ it learns from your LinkedIn performance over time
→ trained on millions of posts, so it already understands patterns that work

Overall, the biggest shift for me was simple:

I stopped overthinking what to post
and started actually posting again.

And honestly, that’s the hardest part of LinkedIn for most people.

So If your problem is:

“what do I even say next?”
or
“why does this feel like so much effort?”

…this is probably worth trying

👉 https://lnkd.in/dFCivDTk

I’m curious what it turns into after a few weeks of learning my style

Because that’s where it could get really interesting 👀

In 24 hours 28k people started the 2026 Data Analyst Bootcamp!

3 million people started the first one I launched 3 years ago, but only around 10k people finished. That’s a 99.7% dropout rate.

So if you complete it and put in the work you’re proving you have a lot of determination and perseverance that most people don’t.

Use this time to upskill, learn, and advance your career!

Send this video to someone in your circle ⭕️ who needs it … most don’t want to hear it .. but ..
Man … is it the truth ❤️