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Your B2B lead-gen used to convert. Now it doesn't. What changed isn't the agency, the economy, or your offer.What change...
05/29/2026

Your B2B lead-gen used to convert. Now it doesn't. What changed isn't the agency, the economy, or your offer.

What changed is that AI made lead-gen cheap. Same templates, same scoring, same outbound — every inbox full, buyers stopped opening cold messages around 2025.

HubSpot's 2026 report just confirmed it: brand awareness ranks #1 for the first time in the report's history. While 86% of marketing teams use AI.

When everyone has the same AI, outbound stops being a moat. Recognition before search is what's left.

This week: write one founder-voiced post about your category. Not your product, the category.

Big companies just crossed 50.6% AI adoption. Good. You're small enough to out-ship them while they hold meetings about ...
05/21/2026

Big companies just crossed 50.6% AI adoption. Good. You're small enough to out-ship them while they hold meetings about it.

The signal is that AI stopped being a thing companies try and became a thing they run on.

Here's the point. Those big companies are bolting AI onto org charts that were slow before AI.

Your team using AI isn't the edge, getting it structured fast is.

With smaller teams, you can turn on a dime and ship quickly.

These companies, they have a whole floor of people meeting and debating on how to do it exactly and who does what.

Being small is your unfair advantage; you can't outspend them, but you can outpace them.

The decision that takes them 3 weeks of meetings, you close in 2 days.

Give yourself one hour a week: what worked, what we ship next, go.

No deck, just action and see where it gets you.

Here's what that looked like for me. I built my own system and it changed how I work and saved me 15 hours every week.

The Thinker researches the topics your audience cares about, and what they ask when they search for products or services like yours.

The Writer writes the posts and the articles.

The Producer takes what the Writer made and turns it into images, carousels, videos.

The Analyst pulls the metrics and reads what worked and what didn't, so you keep improving.

Now, the part nobody warns you about. It is not the tools. It is your prompts and your rules.

You need consistency and clarity, and that is where the whole thing gets hard. It takes time and it is the critical part.

Does your content offer real value to your audience? Do you keep changing direction, or have you defined your pillars?

Are you clear on who your audience is, and is your AI team clear on it too?

An AI team that gives you real ROI depends on how careful you are with the instructions and context you feed it.

I am offering my system as a 'Done with you service' and soon as a course, so that you can get up and ready quickly while avoiding all the mistakes I made at first.

But if you want to do this on your own. Start with this prompt:

"What do you know about my business? And what gaps do I need to fill so you can help me reach [add your goal here]?"

Think it through; garbage in, garbage out.

AI didn't make my content better. At first it made it worse.It got faster and emptier at the same time. More posts, less...
05/20/2026

AI didn't make my content better. At first it made it worse.

It got faster and emptier at the same time. More posts, less of me in them. The drafts were clean and said nothing only I could say. People could tell. I could tell.

Three changes fixed that, and none of them were a better tool.

I write the point before I open the model. If I can't say the one thing I actually believe in a sentence, no prompt will find it for me. The model expands a point. It doesn't have one.

I keep the scar in. AI smooths every story into the same shape. The specific, slightly awkward detail, the thing I got wrong first, that's the part that proves a human lived it. I put it back every time AI sands it off.

I read it out loud before it ships. If it sounds like anyone could've posted it, it goes back. Sounding like me is the only moat AI can't copy.

AI is a great writer and a terrible author. Keep it the tool. Stay the author.

Follow for more.

Posted more. Zero leads named.You're posting more than ever with AI. You can't name a single lead it produced. That's no...
05/19/2026

Posted more. Zero leads named.

You're posting more than ever with AI. You can't name a single lead it produced. That's not a content problem. It's a measurement gap.

I posted for months before I could trace one conversation back to a post. More volume didn't close the gap. A trace did. You don't need an analytics stack. You need 3 things on every post.

Intent. Write the one job this post is doing: start a conversation, prove a point, or move someone toward an offer. One job. If you can't name it, don't post it.

One ask. One reply prompt, one DM trigger, or one named next step per post. Not three.

The reply log. Track who replied and who messaged you, not who liked. Likes don't book calls. A name in your inbox does.

Once a month you read it backward: which post, which conversation, which offer. That's the whole system. It tells you what to make more of and what to stop.

You don't have a content problem. You have posts that were never asked to prove anything.

Curious to know more? Ask your questions in the comments or DM me.

More AI tools made you slower.You bought the one everyone posted about. Then another to connect the first two. Now you r...
05/18/2026

More AI tools made you slower.

You bought the one everyone posted about. Then another to connect the first two. Now you run a prompt, call it a system, and wonder why nothing compounds.

It's not a tool problem. It's a missing-system problem. I stacked tools for months and every week started from zero.

What changed wasn't a new app. I stopped shopping and designed the system: 2 tools that talk to each other (Claude AI and a publishing tool) and 4 jobs that stop restarting every week. Research, write, produce, measure. Built once, so Monday starts where Friday ended.

You don't need a bigger stack. Build the system once, then let it carry the week.

Follow for more.

Threads engagement just hit 6.25%. Almost 2x X. And solopreneurs at 500 followers are already monetizing.Most B2B people...
05/14/2026

Threads engagement just hit 6.25%. Almost 2x X. And solopreneurs at 500 followers are already monetizing.

Most B2B people I talk to still dismiss it. "Too casual. Too B2C. Not where my audience is."

That was true. Last year.

Here's what changed: Threads passed 400 million monthly users in April. Engagement sits at 6.25%, while X is at 3.6%. Clickable links work natively now. And the algorithm is actively rewarding mid-tail creators because it's still pulling them in.

I read reports of accounts under 2,000 followers converting paid newsletter signups within weeks of showing up daily. This looks like LinkedIn 2018-2019, the window when 500 connections got you tens of thousands of impressions because the platform was hungry for content. 6-12 months before the rate normalizes.

The move I'm running: route 2 ideas a week through Threads first. Test the conversational version. Then restitch the strongest ones into longer formats.

The catch is real though. Threads needs 3-4 short posts a day, more reactive. If you can't shift that gear, don't bother. Picking the wrong channel is worse than skipping it.

What's your read on Threads right now? Comment below.

If you'd brief a freelancer the way you brief AI, you'd never hire them again.Yet you keep using AI that way and blame t...
05/13/2026

If you'd brief a freelancer the way you brief AI, you'd never hire them again.

Yet you keep using AI that way and blame the AI.

Most "AI doesn't work for me" complaints are spec problems, not AI problems. Same pattern, every time.

Someone writes "give me a LinkedIn post about (topic)." That's a 7-word brief. They'd never hire a freelancer with 7 words and expect strategy-grade output.

The reframe: AI isn't a magical generalist that reads your mind. It's a brand-new senior hire who knows everything about how to write but nothing about your business yet.

What goes in a real brief?

• Who you serve. Your detailed ICP(s).
• What they need, in their words (AnswerThePublic helps).
• What you sell, your brand, how you sound with samples.
• What worked, what didn't, the drafts you rejected.
• Platform specs.

3 days writing the spec. $20 a month for an "employee" that scales. The freelancer equivalent is $4-6K a month and still needs onboarding every project.

This is what B.U.I.L.D. helps with. A framework I built to train my whole AI team, briefs included.

What's the last AI output you complained about? Was the brief senior-hire ready?

05/13/2026

Most employee advocacy programs use AI now. Most still fail.

Here's the one variable that decides which ones don't.

Most companies launch advocacy programs the same way. Set up a Slack channel of pre-written posts. Ask employees to share. Track who does.

Month one, participation looks fine. By month four, it's the same three enthusiasts and a graveyard of unread suggestions.

Based on research from the 2026 employee advocacy benchmarks: 92% of programs now use AI to suggest content. The AI part is no longer the differentiator. Every program has it.

The variable that actually predicts success: how well the AI matches each employee's individual voice.

Generic AI generates content that sounds like nobody. Voice-matched AI sounds like the engineer, the salesperson, the CFO. Your team's specific voices. That is the asset.

AI can scale the production. It cannot manufacture the voice.

Three things that move advocacy programs towards real impact:

1. Train AI on each employee's writing samples.
2. Generate per-employee, not per-team.
3. Drafts in their actual voice means employees edit, not write from scratch.

The 8x engagement number on employee posts only happens when the post sounds like the employee.

05/12/2026

60% of CEOs are slowing AI adoption. 91% of the ones who didn't grew revenue in the last 12 months.

Both stats are true. Read them again.

One camp is waiting for AI to mature before committing. The other camp picked one or two tools, built deep workflows around them, and watched their revenue line move.

Here's the part most consultants will not tell you. Based on research from a 90-day study on twelve SMB teams given the same AI stack: the four that won ignored 90% of it. Same tools. Different decisions.

Your operations. Your customer relationships. The decisions only you can make about your business. AI does not replace any of that. It removes the work that keeps you from doing it.

Three rules from the SMBs that grew this year:

1. Pick two tools. Build deep workflows. Ignore the rest.
2. Solve one expensive problem first. Not "AI for everything."
3. Train your team to run the system. No, they don't need to code.

Are you waiting for AI to mature? Or tired of watching competitors move faster on the same operations you've been running for years?

Stop Using AI Like GoogleMost people use AI for one task.Open tab.Type prompt.Copy answer.Close tab.One input. One outpu...
05/12/2026

Stop Using AI Like Google

Most people use AI for one task.

Open tab.
Type prompt.
Copy answer.
Close tab.

One input. One output.

That is $20 of leverage.

The shift happens when AI knows your business.

Your audience.
Your offers.
Your voice.
Your past posts.
Your numbers.

And it works without you repeating yourself.

That is AI as a system.

Here is what 95% of users do:

🧠 Ask for a caption
📄 Generate a blog draft
✉️ Write one email
❌ Start from zero next time

No memory.
No structure.
No compounding gains.

Here is what a system looks like:

🧠 Thinker agent handles research and writing
🎬 Producer agent creates assets and schedules posts
📊 Analyst agent tracks performance and reports insights

Each agent knows the business like a senior hire after one year.

No coding degree required.

I spent 1–2 weeks building the framework.

Now the system produces content, reviews data, and improves output without fresh instructions every day.

That is leverage.

Ask yourself:

Are you prompting forever?
Or are you building once and compounding results?

The gap between those two paths decides how fast you grow.

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