Grow Your Career 1% Daily - I’ll Show You How | Follow for Tips on Learning, Professional Development, and Productivity | Professor | MBA + JD

Is this the part where I talk about brand voice, distribution, and storytelling across the funnel? Or say we “help companies scale content that converts”?

𝗪𝗲 𝗱𝗼 𝗮𝗹𝗹 𝘁𝗵𝗮𝘁.

But what we really do is write content your team doesn’t have to worry about, so you can stay focused on strategy, not sentence structure.

𝗛𝗲𝘆, 𝗜’𝗺 𝗦𝘁𝗲𝗽𝗵𝗲𝗻. 👋

And my path here hasn’t exactly followed a playbook:
Banking → Law School → Teaching → L&D → Content

(Yeah… it’s been a ride.)

Today, I run a B2B content agency with my wife. We keep it lean and personal — just the two of us, plus our kids and a couple barky mini schnauzers. 

At Damn Smart Marketing, we give marketers writing they can trust and results they can stand behind.

✓ Content that sounds like you (not a template, not bland AI)
✓ Full support from idea to publication
✓ A partner who gets content
✓ Zero fluff, zero hand-holding
✓ More time to focus on what matters

In other words: you get to 🚀 while we handle the ✍️.

𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗽𝗮𝗿𝘁𝗻𝗲𝗿? 𝗧𝘄𝗼 𝘄𝗮𝘆𝘀 𝘄𝗲 𝘄𝗼𝗿𝗸:

1️⃣ 𝗗𝗼𝗻𝗲-𝗳𝗼𝗿-𝘆𝗼𝘂 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝘁𝗲𝗮𝗺𝘀.
Blogs, LinkedIn posts, newsletters, case studies. If it’s got words, we’ll write it. You get to run the show without sweating every sentence.

2️⃣ 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗳𝗼𝗿 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀.
We’ve built an AI-assisted workflow that makes posting easy, effective, and actually worth reading.

If you're curious, DM me. 

No cold, hard pitch, I promise. Just a real convo about where you’re headed and whether some damn smart content can help.

Stephen 😀

Stephen Mostrom

How my wife and I work together without losing our minds (or our marriage)...

9 years ago, Donna and I started Damn Smart Marketing.
4 years ago, we niched down to B2B content writing. 
24 months ago, I joined full-time. 

It's been a wild ride. 
Full of ups and downs. 

And, when we share our story with others, the same question comes up every time.

"How do you work with your partner 24/7 without killing each other?"

Here's our formula: 

1 - Love your differences (really!)
2 - Create a clear division of duties
3 - Remove pressure whenever possible
4 - Talk about everything
5 - Leave your ego at the door

Interested in learning more about how we make it work?

👉 https://lnkd.in/gtPzBpME

Writer for B2B Tech & Finance ✍️ | Running a content agency with my wife (and yes, still married) | Human words, AI workflows | JD & MBA

I've got one resolution for '26. 
KEEP. IT. REAL. 

Real talk
- Words I’d say out loud, not empty-calorie buzzwords
- Taking a stance, not performative "thought leadership"
- Posting for people, not the algorithm

Real content
- Heart-first drafts, not perfect-first outputs
- A voice with fingerprints, not generic AI fluff
- Photos that feel lived-in, not perfectly staged

Real-ationships
- Showing up first, not keeping score
- Chats that run long, not calendar Tetris
- Conversations with pauses, not pitches

LinkedIn.
The business world.
The internet.
Honestly, the whole globe.

It’s getting more synthetic by the second.

Time to swim against the current. 

Real only. 
No exceptions. 

You in?

LinkedIn friends: Can you help me get the word out?

I’ve got *a lot* of thoughts on writing, creativity, AI (and where to avoid it), and B2B marketing. 

(Also the last season of Stranger Things… but that’s a separate thread)

I’m looking to connect with smart folks who care about these topics and want to have no-fluff conversations around them.

If you know anyone I should meet, I’d appreciate a tag or a DM:

- Podcast hosts
- Conference organizers
- Speaking opportunities
- Or adjacent worlds I should be paying attention to

And if you just want to talk about The Upside Down or how Steve + Dustin are an elite duo, I’m here for that too!

Thanks in advance. 🙏

I assume every LinkedIn post will flop (yes, even after 1M+ impressions). So, I run mine through this 10-point checklist before hitting publish.👇

The result?

10k+ followers
Viral client posts
Countless connections

Here's the checklist: 

1. Did I start with the good stuff?
Weak hook, no go. I’ll tweak it 100x to get it right.

2. Does this post sound like me? (Or like AI?)
Beep boop. No thanks, I’ll stick to Stephen writing. 

3. Did I make it easy to read?
No one’s reading bland blocks of text during their coffee break.

4. Did I paint the picture?
Feelings, stakes, pain. That makes a story real. 

5. Will I remember this tomorrow?
If it’s forgettable to me, it’s forgettable to them.

6. Am I talking to one person, or broadcasting to everyone?
Generic tone = generic results. I write to one reader and one reader only.

7. Did I edit out the filler?
Adverbs, clichés, throat-clearing intros. I cut them with a chainsaw.

8. Did I anchor it in lived experience?
Real stories beat abstract advice every day (twice on Sundays).

9. What’s the one thing I want someone to remember?
If my post has 6 points, it has no point.

10. Did I enjoy writing it?
If it felt like a chore, it’ll probably read like one too.

Your go-to?

Who in their right mind adds 25 pounds to their morning walk?

Umm....

Last year, I started wearing a weighted vest. Unless it's 110° or more, most mornings you'll find me with three dogs walking a mile loop around Chandler. 

Shoulders strained. 
Core (hopefully) engaged. 
CCR probably on repeat. 

It's the funny bit about exercise...

To get stronger, you have to intentionally do hard things. Lift heavy stuff, run when nothing's chasing you, or strap extra weight to your body. 

The reward?
Growth. 

Problem is, when I look at the mental side of work, all I see are shortcuts. AI wasn't the first, but boy is it the loudest. 

"Write 100 LinkedIn posts in 30 seconds!"
"Turn one idea into a week of content!"
"Hit publish without ever breaking a sweat!"

There’s absolutely a time and place for speed, efficiency, and productivity.

But if everything gets easier…
When do we actually get stronger?

This isn't theoretical. 

Darja Djordjevic (Columbia Univ) on AI: 
“Here is a machine that is always available, endlessly enthusiastic, and seemingly competent in every domain. That creates a powerful feedback loop. You skip the discomfort of starting from scratch and get rewarded in seconds.”

Great for the short-term. 
Hazardous for the long. 

That's why I'm personally putting on weighted vests at work, too. 

Writing the first draft from scratch.
Sitting with the mess before cleaning it up.
Thinking before prompting.

Do I use AI? Of course.
But it’s the spotter, not the lifter.

Because the discomfort *is* the workout.

Maybe I'm not in my right mind. 
Maybe that's okay... as long as I'm growing. 🤷

Last year, I ghostwrote on LinkedIn for a dozen execs. 12M+ impressions, 20k+ followers. Here are 4 post types that delivered (and why): 

1. Scar stories

Easily our top-performer. 

What were the bottom-rung moments in a career (fumbles, toxic peers, etc)? And, most importantly, what did you learn from them?

One six-figure impression post from last year started with, “When I left the boardroom, I thought I was fired.” 

These posts counter the perfect upward path so often embedded in thought leadership content. 

They take courage to post. 
And that’s why they work. 

2. Non-obvious + niche trends

Market trend posts work when you’ve got a one-of-one view. 
And genuine thought leaders do. 

The key is making sure the trends don’t sound like an economics report. 

They need to cut deep for your target audience. 
Show you’re in the trenches. 

Not “5 [industry] trends,” but “5 patterns showing up across every [industry] conversation I’m in.”

3. Have you seen?

This is the small-scale side of the trends conversation. 
Commenting on news happening right now, this minute. 

- Major shakeup in your industry
- Big, bold stance by leadership
- Real-time data that informs decisions

In one move, you bring your readership into the fold (“have you seen?”), then lay out your angle (“here’s how I see it”). 

Timely and opinionated. 

4. I used to think X, now I think Y

Growth is interesting. 

People love to map the trajectory a leader’s taken. They want to see the nitty-gritty thoughts that shape million-dollar (billion-dollar?) leadership. 

One post that caught fire last year…
 
It broke down the people side of a data-heavy business. “I used to think the numbers mattered most, now I think it’s those small hallway conversations.”

Growth. And how it happens. 
Your readers can easily take notes. 




What do these posts have in common?

- Specific to YOU, not just anyone
- Getting real with your struggles and journey
- Putting the “thought” in thought leadership

That’s what separates the leaders people sync with…
From content that gets scrolled past and forgotten.

This might be my favorite January reading stack ever ↓

📚 How fear shaped history, politics, society, and more 
📚 One man's journey to consume the entire encyclopedia britannica
📚 The economist behind "Capital" takes on current events
📚 AI's impact on human writing (hint: it's not good)
📚 A globetrotting journey via classic works of fiction

What are you reading?
(Recommendations, please! I'm building my list for next month)

I'm tired of reading LinkedIn posts stuffed with fluff. 

Too many words. Too little payoff. A waste of everyone's time...

The result:
Writer – Annoyed that their message isn't resonating. 😡 
Reader – Annoyed that their attention isn't respected. 😤 

Who's this working for?
Answer: no one.

Time to get back to an old writing rule I swear by, "Every word not working for you... is working against you." 

Time to ditch words that add nothing. 

↓↓↓
These are the 4 worst offenders I see every single day: 

1. Buzzword Bingo
“Leverage”
“Synergy”
“Thought leadership”
“Game-changing”

2. The Warm-Up Lap
“I’ve been thinking a lot lately…”
“I wanted to share a quick thought…”
“This might resonate with some of you…”
“Just some reflections…”

3. Captain Generic
“Bet on yourself.”
“Show up.”
“Do the work.”
"Success isn't linear."

4. Say It Again, But Louder
“In other words…”
“Put simply…”
“Let me explain…”
“To clarify…”

Instead of fluff, do this...

Get to the point. 
Respect your reader. 
Mic drop and move on. 

Yeah?

Buffer crunched 2M+ data points to answer the question: How often should you post on LinkedIn to maximize reach? ↓

2-5 times per week. 

Doesn’t have to be every day. 
Doesn’t have to destroy your calendar. 

But moving from “whenever I have time” or once a month to this range yields serious results. 

+1,182 more impressions per post
0.23 percentage point lift in engagement rate

Buffer calls it “flipping a switch.”

That’s why, when we work with busy execs and founders at Damn Smart Marketing, we use a simple 3 / 30 approach: 

3 → publish three posts per week (minus holidays)
30 → one 30-minute weekly brainstorm to generate raw ideas

(Huge shoutout to Devin Reed, who runs this process to perfection. His breakdown is worth a look: https://lnkd.in/gcghEk5R)

That’s it. 

The difference between fading into the background and showing up in the feed of the people you want to reach. 

Questions?
Drop them below or DM me.

It's official: most folks DO NOT want to read AI. 

I've suspected as much. Seen loads of spiky posts about it on LinkedIn. But this is 4,484 people casting their vote, and you can see...

Only 16% keep reading, no problem. 
Whoa. 🤯 

My thoughts: 

1 - This topic is emotional quicksand. 4k+ people voting on a LinkedIn poll... that crazy, and a signal that people REALLY care. 

This isn't a shoulder shrug.  
It's a raging fire we need to pay attention to. 

2 - How do you know something was written by AI? Short answer: you don't. Instead, we're all judging in seconds. 

Is it flat, lifeless? Could anyone have written it? 
Does it have an em dash or too many rule of threes?

There's no rulebook. 
Just people making assumptions. 

As writers, marketers, and content folks...
We have to know this. Understand it. Adapt to it. 

3 - Content is about making bets. Bets that something you create will resonate and lead to a conversation, trust-building, etc. 

Idk about you...

But I don't want to bet on 16% odds. The chance folks MIGHT ignore the AI of it all and keep reading anyway... even if ChatGPT can generate 1M words in 3 seconds.

The smarter bet? 
Write for people. Write what resonates. 

And at least according to this (pretty big) poll, that isn't AI. 



Ok, enough of my ramblings...
What do you think? 

P.S. Shoutout to Mel Barfield for doing the work.

This LinkedIn post should have been a snoozefest. ↓

Instead, it's one of the best examples of writing voice I've ever seen. 


We've all seen the new furry friend angle.
Usually it's “I got a pup! 🐶” and 5 likes.

But not Lauren. 

Check it…

1 - She pulls you right into the storyworld

“middle of the workday” → busy CEO
“puppy with bad eyes” → awwww
“definitely don’t need another dog” → tension
“skin of our gahdayum teeth” → relatability
“ohmygaaaahhhh” → human emotion
“drive four hours” → commitment

And then there’s her backstory:
“lost… one year ago this week”
😭😭😭

2 - She uses (gasp) humor

Pile of laundry?
Mitch McConnell? 

I won’t explain the funny here cause that ruins it. 
But c’mon. This is standup level. 

3 - She sounds so human

Running around at 1 million miles per hour. 
Making heartfelt decisions. 
Talking pup names with her husband. 
Reflecting on the past and looking to the future. 

All in 115 words. 



I’ve never met Lauren. 
Never seen her content on LinkedIn before. 
But you can bet I smashed that “like” button fast. 

And last I checked, 1000+ others had too. 

Wow. Great writing. 
Who knew?

“Have AI write the first draft, then edit.” 

I know smart folks who write this way. It works for them. Real talk, though, it's not how I do my best writing.

Here's why: 

1 - The 1000-pound anchor. 

Once words are on the screen, they’re hard to ignore. You start reacting to what’s there instead of imagining what could be.

That usually means less human judgment. Less original thinking.

You either have to edit hard and fast and often. 
Or you quietly settle.

2 - It’s painfully predictable.

AI leans on the same phrases, rhythms, and structures. Even when you tell it to mix things up.

So I’m left with two bad options:
- Everything I write starts to sound the same
- I spend time hacking and rearranging instead of thinking

Both feel like fighting the work instead of doing it.

3 - I want my creative muscles strong.

I plan to write tomorrow. And the day after that. And the day after that.

When I'm on a client call, I want ideas flowing straight from my brain (not from a prompt I used last week). 

That only happens with reps.

Staring down the blank page like it's a roaring dragon spitting flames. And coming out the other side untouched. 

---

My process instead: 

- I write the first draft, messy and human. 
- I get feedback from trusted peers and my co-founder. 
- I use AI for grammar, polish, and the occasional word swap.

That balance works for me. 
It protects originality without sacrificing speed or quality.

Curious how others do it.

AI-written first drafts?
Or human-first?

When execs and founders ask me how to win on LinkedIn, I give the same advice every time: Hook your reader. Here are 5 hook-writing tips👇

1. Know the fundamentals

Your hook = what shows before “see more.”
You’ve got about 200 characters to earn the click.
Make it count.

2. Use specific, emotionally charged words

Generic is boring. Stats are boring. I’ve seen enough posts start with a bland sentence + stat to fill a stadium.

Don’t aim for the head. Aim for the heart.

And use the words that speak to them...

Think:
– Burnout, not low engagement
– Ghosted, not no response
– Nightmare spreadsheet, not manual process

3. Inject your POV

There’s way too much “you should” on here. Try “I did” instead.

Personal stories beat generic advice every day of the week.

Simple formula:
Do interesting things. Talk about them.

4. Signal value early

If you’re sharing 5 tips, say that up front. Please don’t make people guess what they’re getting.

Clarity builds trust... fast.

5. Benefits, benefits, benefits

Assumption is a dangerous game on LinkedIn. The audience is too wide, too diverse.

So spell it out:
- Why should someone care? (benefit)
- What’s it going to help them do? (benefit)
- What’s the end result? (benefit)

If the value’s not obvious, they’ll scroll. Every time.


---
Your turn: What's your go-to tip for writing a standout hook?

Donna Mostrom calls our LLM “Cathy.”

Because we use ChatGPT.

Chatty Cathy.
Well played. 🫡

I Help Corporate Professionals Gain Career Clarity & Fulfillment | Founder @Amplify Your Home | Global AI Tax Copilot Strategist @EY

Don't be fooled by my appearance. Quiet, Asian, tiny girl.

In the last decade, I've...

Successfully navigated the corporate giants: Goldman Sachs, PwC, Deloitte and EY.

Built communities, tax and financial models, and automations. (Excel wizard here)

Empowered employees to own their damn careers,

Challenge their norms to do something special.

That's when Problems become Opportunities,

Strategies into Actions.

You are not Alone.

Ready to redefine your career? Let's make it happen.

Mary Fung

Accenture and Snowflake just formed a joint business group. 5,000+ certified consultants dedicated to AI and data transformation.

That's not a partnership announcement. That's a statement about where enterprise AI is heading.

Reading between the lines:

- The big consultancies are betting hard on data infrastructure as the AI bottleneck
- 'AI transformation' is becoming 'data transformation with AI capabilities'
- If you don't have your data house in order, no amount of AI magic will save you

What this means for enterprise buyers:

The consulting giants are building massive practices around making AI actually work. They're not selling AI hype anymore - they're selling the boring stuff. Data quality. Governance. Integration. Infrastructure.

They learned something from the last 2 years: Executives buy AI demos. But they pay for data cleanup.

If Accenture is deploying 5,000 people to this, ask yourself: Is your organization investing anywhere close to proportionally?

Own Your Damn Career | Founder @Amplify Your Home | Head of Synthetic Data & Simulations @EY

10 AI Predictions for 2026:

1. Gemini will quietly become the default AI model — not because it's best, but because it's baked into Google Workspace and enterprises buy whatever comes with the contract.

2. AI agents will be the buzzword of 2026, but 90% of enterprise "agents" will just be fancy if-then workflows with a chatbot wrapper.

3. Middle management will shrink faster than anyone expected. If your job is routing information between people, start upskilling now.

4. LinkedIn will be flooded with AI slop, which will make authentic human writing easier to spot and more valuable.

5. The companies that win with AI won't have the best models — they'll have the cleanest data and fastest approval pathways.

6. Most "AI transformations" announced in 2025 will be quietly walked back, rebranded, or buried in footnotes.

7. Copilot will be on every enterprise desktop, but 80% of employees will use it the same way they use Excel — poorly and rarely.

8. The Chief AI Officer title will peak and then quietly disappear because nobody figured out what it was supposed to do.

9. Prompt engineering will stop being a job title and become a baseline skill, like knowing how to Google.

10. The people who actually ship AI in 2026 will be the same ones who shipped software in 2016 — builders who know that technology is 20% of the problem.

Everyone keeps saying, “AI needs better foundations.”

That’s true.
But it’s not the part people think.

KPMG isn’t warning about missing tech.
They’re warning about missing discipline.

Most enterprises want AI to move fast
on top of systems that were never designed to be trusted.

Bad data.
Unclear ownership.
Processes built for humans to patch gaps with judgment.

So when AI breaks, leaders don’t ask:
“Why was this workflow fragile to begin with?”

They say:
“AI isn’t ready.”

AI doesn’t fail in enterprises because it’s too powerful.
It fails because it refuses to hide the mess underneath.

Foundations aren’t glamorous.
They don’t demo well.
They don’t win internal applause.

But without them, AI just scales dysfunction faster.

The companies that actually win with AI won’t be the loudest adopters.
They’ll be the ones willing to do the unsexy work first:
clarify ownership, clean data, redesign workflows, define accountability.

Everyone else will keep running pilots —
and blaming the tech when reality shows up.

Most companies don’t hire talent.
They hire job descriptions.

And then they’re shocked when they end up with average people doing average work.

Cursor does the opposite.
They don’t ask “What role do we need?”
They ask “Is this person undeniable?”

If the answer is yes, they bend the org around them.
They don’t wait for headcount approvals.
They don’t debate leveling.
They don’t hide behind process.

They move.

Because:
> Elite talent is rarer than clean org charts.
> Process is cheap. People aren’t.

Most companies optimize for order.
The best ones tolerate chaos to secure leverage.

If you hire roles first, you get replaceable people.
If you hire people first, they create roles you didn’t know you needed.

That’s how you build an org of superstars.
Not by perfect hiring processes but by having the courage to recognize greatness
and act before it’s gone.

Goldman’s CEO said AI can now do 95% of an S-1 in minutes.

Everyone keeps asking what happens to the jobs.

That’s the wrong question.

The real question is:
What is the 5% that still matters?

It’s not formatting.
It’s not drafting.
It’s not models, footnotes, or precedent decks.

The 5% is:
• deciding what risk actually matters
• knowing what to leave out
• framing the story regulators and investors will believe
• understanding where this deal breaks under pressure
• making judgment calls no template can defend

The 95% was always execution theater.
The 5% was always the job - it was just hidden behind process and headcount.

AI didn’t remove human value.
It stripped it down to the part you can’t fake.

If your role was built on producing the 95%,
you weren’t senior...you were insulated.

Now the insulation is gone.

What’s left is judgment, taste, and accountability.
And that’s the part most people were never trained for.

That’s the real disruption.

Users don’t need Copilot to be visionary.
They need it to be boringly correct.

Once it earns trust, then it can become transformative.

But this is exactly why Copilot keeps disappointing:
the people building it aren’t the people living in Word, Excel, Outlook, and PowerPoint all day.

They don’t feel the cost of a small error.
They don’t feel the “I now have to double-check everything” tax.
So the product ships features… before it ships trust.

And Satya stepping in as PM won’t magically fix that.

This isn’t a leadership-attention problem.
It’s a proximity problem.

Until the builders are forced to live in the workflow and be judged on accuracy, not demos
Copilot will keep being impressive… and optional.

Trust first.
Then transformation.

How to Position Yourself for AI-First Roles:

> Stop learning tools. Start solving problems. Anyone can take a ChatGPT course. Few people can articulate how AI solved a specific business problem with measurable results.

> Document everything you build. That workflow you automated? That analysis you accelerated? Screenshot it. Write it up. Your future employer can't see what you don't show them.

> Get uncomfortable with ambiguity. AI roles live in the gray zone between 'definitely possible' and 'completely impossible.' If you need clear requirements to function, this isn't your path.

> Learn to speak two languages. Technical enough to evaluate AI capabilities. Business enough to translate them into ROI. The people who bridge this gap are absurdly valuable.

> Find the AI skeptics. The person in your company who thinks AI is overhyped? Befriend them. They'll show you every gap in your thinking and make your pitches bulletproof.

> Build a public track record. LinkedIn posts about AI projects. GitHub repos with experiments. A portfolio site showing what you've built. Hiring managers are tired of 'AI enthusiasts' with nothing to show.

> Apply before you're ready. The AI field moves so fast that job requirements are wishlists, not checklists. If you meet 60% of the requirements, you're qualified. They'll teach you the rest.

Most “agentic AI” projects fail for the same reason most corporate transformations fail:
people mistake motion for progress.

McKinsey looked at 50 real agentic AI builds.

The failure wasn’t the models.
It wasn’t the prompts.
It wasn’t the talent.

It was ego.

Teams built impressive agents instead of fixing broken workflows.
They layered AI on top of chaos and called it innovation.

AI isn’t limited by capability.
It’s limited by imagination.

We already have models powerful enough to solve problems most companies haven’t even defined yet.

The gap isn’t technical - it’s structural.
It’s the lack of domain context, product packaging, and change management that turns potential into adoption.

Most enterprises don’t need “better AI.”
They need AI that speaks their language - built around real workflows, real UX, and real ownership of change.

That’s why the next wave won’t come from another foundation model.
It’ll come from domain-specific agents - vertical copilots that combine deep expertise with flawless execution.

The real unlock isn’t general intelligence.
It’s the ability to pour capital into problems that were never scalable before.

And the only thing left standing in the way isn’t the tech -
it’s the willingness to use it.

5 Things I Learned Implementing AI at Enterprise Scale:

1. Your data problem is bigger than you think. Every executive says 'our data is pretty clean.' It never is. Plan for 60% of your timeline to be data work.

2. The pilot trap is real. Successful POCs die in production because nobody planned for security reviews, compliance checks, and the 47 stakeholders who need to approve everything.

3. Change management eats AI for breakfast. The technology works. The humans resist. Budget 3x more time for training, communication, and handling the 'but we've always done it this way' crowd.

4. Start with the boring use cases. Everyone wants the sexy AI chatbot. The real ROI is in automating the mind-numbing document processing that costs you 200 hours/week.

5. Your AI strategy needs an AI exit strategy. Models change. Vendors pivot. Build for portability or you'll be rewriting everything in 18 months.

i won't be surprised if this number 10x by now

taplio

The Battle

Stephen Mostrom

Mary Fung

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The Battle

Stephen Mostrom

Mary Fung

Followers

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Stephen Mostrom's LinkedIn Performance

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Performance ScoreStephen Mostrom's LinkedIn Performance