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Stop asking AI to save you time. Start asking it to solve what you couldn't solve alone last month.Most people size up A...
07/14/2026

Stop asking AI to save you time. Start asking it to solve what you couldn't solve alone last month.

Most people size up AI by the minutes it saves them.

You're using the wrong yardstick.

It hides what's changing for you.

You've got a decision sitting in front of you right now.

Not because you don't know the answer.

Because you never had time to connect everything you already know.

6 months of client notes.

2 competitor breakdowns you never finished.

12 half-written ideas sitting in your notes app.

None of that disappears when you use AI well.

Used well, it organizes all of it, cross-references it, and hands it back to you exactly when you need it.

You're not skipping the thinking.

You're finally doing it with everything you know in front of you at once.

That's not automation. Automation swaps out a task.

This widens what you're capable of on your own.

Researchers have a name for it: superagency. The tools don't replace your judgment. They widen what your judgment can reach.

What decision have you been putting off because you couldn't connect the dots fast enough?

That's the one you hand to AI first.

07/09/2026

Forget "which AI tool." Start with the task your team already hates doing, or the one a junior, you would pay less, could handle

Not the newest app you found on LinkedIn. Not the smoothest demo you sat through last week.

The one repetitive job that eats your team's week, the one you stopped questioning because it's "how it's always been done."

Picture your own version of it. Every morning, someone on your team opens 40 client emails, answers the same 3 questions in slightly different words, and calls it customer service.

That's not a skills gap on your team. That's friction, and friction is exactly where AI earns its keep.

Here's the sequence that works, in order:

1. Find your friction. Ask your team a single question: what's the task you dread every week? Not what AI could theoretically do. What already hurts.

2. Pick 1 task. Not 5. The smallest, most repeated one. Client-email triage. Scheduling. First-draft replies.

3. Prove it. Run it for 2 weeks. Track the hours it frees up, not the hours you assumed it would.

4. Expand from the win. Once your team trusts the first result, hand them the next task. Not before.

Most AI rollouts fail because they start with a demo and end on a shelf. Yours doesn't have to, if you start with the complaint instead of the tool.

Which task would your team name first, if you asked them today? Share it, I am curious to know.

This man has a story.Every morning during the school year, I saw him on Chambers Street near a school, with his sign.Lik...
07/05/2026

This man has a story.

Every morning during the school year, I saw him on Chambers Street near a school, with his sign.

Like most people, I walked by without stopping, until one day, last March, when he handed me a newsletter.

Since then I wanted to take a moment to tell his story. Here it is: I still don’t know much about him, not even his name, but what I know is this: the man has a clear and powerful message that he refuses to stop sharing.

You, me, all of us, we are here spreading messages about business, careers. Him? He silently spreads a fundamental message: skills, knowledge… wisdom.

From his newsletter I learned he is 78, his 55-year-old daughter had a stroke last year walking home from work on a Friday in Greenpoint, he is long-divorced, a grandfather, a book lover.

Last year, he lost a dear friend, his newsletter says: “We taught together. Vietnam.”

He doesn’t own a TV or a computer, just an iPad and phone, he has no desk and writes on a “cluttered small round table”, but “certain books and folk music keep it going” in him; the sign is part of that.

Every morning, 7:40 exactly, he is out the door with his sign; he has been doing this for 10 years. 10 years, every school day, no sponsor, no obligation, just the passion. You may call this crazy; I call it noble.

It is almost an offering, the sign is there, in front of you, ignore it, or do something with it; it’s up to you; either way, he will be there tomorrow, silent and smiling at you.

Each and every day, we should learn something new.

Every day, we should contribute to other people learning and growing.

Skills, knowledge, and wisdom are what I wish for all of us because this is what’s going to make the difference in your life and in other people’s lives.

Enterprise has 20,000 data points on your customer. You have 20 calls. The personalization math doesn't run on volume — ...
06/02/2026

Enterprise has 20,000 data points on your customer. You have 20 calls. The personalization math doesn't run on volume — it runs on inputs.

Enterprise uses form fills, click events, and email opens — generic aggregated data. You have 20 real conversations: sales calls, support tickets, DM replies where customers told you exactly what they wanted.

That's not less data. That's better data.

AI doesn't need thousands of rows. It needs richness.

Enterprise is paying enterprise prices hoping to get what you already own.

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.

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