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This isn't ChatGPT with a different skin.

You can ask any AI to write you a LinkedIn post. You'll get something grammatically correct with emojis, a call to action, and the same voice as everyone else. That's the problem we built this to solve.

What ChatGPT gives you

🚀 Thrilled to share some exciting news! After months of hard work, our team just closed a HUGE partnership! 💪 Here are 3 lessons I learned: 1️⃣ Never give up 2️⃣ Teamwork makes the dream work 3️⃣ Stay focused on the customer What lessons have you learned? Drop them below! 👇 #partnerships #growth #leadership

What Say Something gives you

Our team just signed a partnership with Marriott's loyalty division. Four months of back and forth, a complete rework of our pitch deck at the halfway mark, and a last-minute demo our engineering team pulled together in 48 hours on no sleep. The turning point was the third call. Their VP of Loyalty told us they didn't need another vendor—they needed someone who understood why their 12M point redemptions per quarter were declining. So we stopped pitching features and spent two weeks mapping their redemption funnel against their top 200 properties. We found that 40% of members didn't even know they had enough points to book. That became the entire pitch. Not our platform—their problem, with data they hadn't seen before.

See the full breakdown →
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.

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 signed a partnership with Marriott's loyalty division. Four months of back and forth, a complete rework of our pitch deck at the halfway mark, and a last-minute demo our engineering team pulled together in 48 hours on no sleep. The turning point was the third call. Their VP of Loyalty told us they didn't need another vendor—they needed someone who understood why their 12M point redemptions per quarter were declining. So we stopped pitching features and spent two weeks mapping their redemption funnel against their top 200 properties. We found that 40% of members didn't even know they had enough points to book. That became the entire pitch. Not our platform—their problem, with data they hadn't seen before.

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

Last quarter I sat in on a marketing ops review at a 200-person e-commerce brand called Rothy’s. Their marketing team was spending roughly 11 hours a week writing and rewriting subject lines for email campaigns. Not strategy. Not creative. Just A/B testing copy by hand across 14 product segments. They replaced that workflow with a Claude integration that generates 30 subject line variants in under a minute. Their senior copywriter told me she went from writing subject lines to reviewing them—and she now spends that recovered time on the brand voice guide they’d been putting off for two years. Their open rates didn’t change much. But their campaign launch cadence went from twice a month to weekly. Same team, same budget, twice the output. The AI didn’t make the marketing better. It made the marketing possible at a pace they couldn’t staff for.

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.

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.

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