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Why it matters
92%

of B2B buyers trust employee recommendations over traditional advertising.

45%

more likely to hit quota when salespeople share content on LinkedIn.

72%

of employees would post about their company if the content was written for them.

Before & After

Same story. Better post.

The left is what most people would post. The right is what happens when you talk it through with us first.

01Company Win
What you'd post

We did it. Four months of grinding. Reworking the deck. Late nights. A demo built in 48 hours. And today? We signed one of the biggest hotel chains in North America. I’m not going to lie. There were moments I didn’t think we’d get here. But this team never stopped believing. Proud doesn’t even begin to cover it. If you’re building something right now, keep going. It’s worth it. Trust me. 🙏 #partnerships #startuplife #nevergiveup

What we'd write

Our team just locked in a partnership with one of the largest hotel chains in North America. It took four months of back and forth, a complete rework of our pitch deck halfway through, and a last-minute demo that our engineering team pulled together in 48 hours. The thing that made the difference? We stopped selling the product and started solving their specific loyalty program problem. Sometimes the deal closes when you stop trying to close it.

02Industry Insight
What you'd post

AI is changing marketing. But most companies are doing it WRONG. Here are 5 ways the best brands are actually using AI in 2026: 1/ Subject line testing → 2/ Creative resizing → 3/ Customer feedback summaries → 4/ Audience segmentation → 5/ Performance reporting → The companies that adopt these will win. The ones that don’t will be left behind. Which one are you using? Drop it in the comments 👇 Follow me for more marketing + AI insights. #AI #MarketingStrategy #FutureOfWork

What we'd write

I’ve been watching how mid-size e-commerce brands are actually using AI in their marketing workflows, not the press release version, the real version. Most aren’t using it to generate campaigns from scratch. They’re using it to test subject lines faster, resize creative for different platforms, and summarize customer feedback at scale. The boring stuff. And that boring stuff is saving some teams 10-15 hours a week. The companies pulling ahead aren’t the ones with the flashiest AI strategy. They’re the ones that found three tedious tasks and automated them quietly.

03Giving Credit
What you'd post

sooo i jumped on a call with a former coworker expecting like 15 min and it turned into an HOUR she basically told me im chasing the wrong thing and honestly... it hit different 😭 the people who really care about you are the ones who tell you what you dont want to hear forever grateful for people like that in my life ❤️ who’s someone that changed ur perspective?? tag them below 👇👇

What we'd write

I jumped on a call with a former colleague last week expecting a quick 15-minute catch-up. It turned into an hour. She challenged me on something I’d been avoiding: that I was optimizing for title instead of learning. She said something that stuck with me. "You’re three years into your career. Pick the role where you’ll be embarrassed by how little you know on day one. That’s the one." I’ve been thinking about it ever since. Sometimes the best career advice comes from people who have nothing to gain from giving it to you.

Who is this for

Different roles. Same problem.

Everyone knows they should be posting. The reasons are different depending on where you sit.

CEOs

Your visibility drives trust, recruiting, and market value. The data is clear.

Read more →CMOs

Your employees are your highest-reach channel. They just need help writing.

Read more →Sales Leaders

Reps who post consistently are 45% more likely to hit quota.

Read more →HR Leaders

Your employer brand lives on your team's feeds, not your careers page.

Read more →Individuals

Build a reputation by showing up with real substance, even once a week.

Read more →Why Not ChatGPT?

What makes this different from asking any AI to write you a LinkedIn post.

Read more →
Real output

One prompt. Three angles.

Someone asked us to help them post about Jack Dorsey announcing layoffs at Block. Here's what came back.

I want to post about Jack Dorsey announcing layoffs at Block. It's interesting because he's framing it around AI, not cost cutting.

01Direct and concise
Short

Jack Dorsey just made a fascinating move at Block. They're cutting thousands of jobs, but not because business is struggling. Gross profit is growing, customer base is expanding, profitability is improving. His reasoning: "The intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company." This might be the first time we're seeing a CEO explicitly frame layoffs around AI capability rather than economic necessity. If he's right about this being the new normal, we're looking at a very different conversation about workforce planning.

Read full draft↓
02Skeptical analysis
Medium

Jack Dorsey's latest shareholder letter caught my attention for what it doesn't say as much as what it does. Block is cutting thousands of jobs, but Dorsey is clear this isn't about financial trouble. Revenue is growing, customer base is expanding, profitability is improving. Instead, he's saying AI tools and smaller teams are "fundamentally changing what it means to build and run a company." It's a remarkable shift in messaging. Since 2022, we've seen wave after wave of tech layoffs justified by "economic headwinds" or "overhiring during the pandemic." Dorsey might be the first CEO to explicitly tie workforce reductions to AI capabilities rather than market conditions. The question is whether this is genuine strategic foresight or a more palatable way to explain difficult decisions. Either way, if other companies start adopting this framing, the conversation around AI and employment is about to get much more direct.

Read full draft↓
03Industry implications
Long

Jack Dorsey just said something that every CEO is probably thinking but hasn't said out loud yet. In Block's latest shareholder letter, he announced thousands of job cuts. But unlike the parade of "tough economic conditions" explanations we've heard since 2022, Dorsey was unusually direct about the real driver. This isn't about financial distress. Block's gross profit is growing, they're serving more customers, and profitability is improving. The reason? "The intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. And that's accelerating rapidly." This might be the canary in the coal mine moment. We've watched major tech companies shed hundreds of thousands of jobs over the past two years, almost always framed around market conditions or pandemic overcorrection. But what if those were just the socially acceptable explanations? What if the real story was always about AI making certain roles redundant, and companies just weren't ready to say it publicly? If Dorsey is right, and other companies start being this honest about AI-driven restructuring, we're about to have a very different conversation about the future of work. The question isn't whether AI will change how companies operate - it's whether leaders will be transparent about what that actually means for their workforce.

Read full draft↓

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