For most of my career, writing was my swim lane. 12 good years honing my ability to turn jargon into stories, put myself in buyers' shoes, and understanding how digital marketing actually works. But here's what I've learned across every tool and platform: Bad process = bad work. Twitter in 2009. AI in 2025. Doesn't matter. If your workflow is broken, your output will be, too. And right now? AI is making it faster than ever to scale bad content at industrial speeds. So I'm doubling down on content operations in my consulting work. Because here's what I want: AI that helps us tell better stories, not just more stories. Writers with bandwidth for creative work that keeps them sane. Content that creates meaning instead of noise. But none of this happens without better systems for how teams create together. My focus for the next 18 months: Building quality checkpoints back into AI-powered workflows. Not to slow things down, but to make sure speed serves the story, not just the algorithm. The value of vision hasn't disappeared. We've just removed too many human guardrails. Let's rebuild them intentionally. How are you rebuilding your workflows in the age of AI? #ContentStrategy #AIandContent #ContentOps
From Jargon to Stories: Why Content Operations Matter
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𝐓𝐡𝐞 𝐒𝐭𝐫𝐚𝐧𝐠𝐞 𝐑𝐞𝐚𝐬𝐨𝐧 𝐀𝐈 𝐋𝐨𝐯𝐞𝐬 𝐭𝐡𝐞 𝐄𝐦-𝐃𝐚𝐬𝐡 𝑯𝒂𝒗𝒆 𝒚𝒐𝒖 𝒏𝒐𝒕𝒊𝒄𝒆𝒅 𝒉𝒐𝒘 𝒔𝒐𝒎𝒆 𝑨𝑰 𝒕𝒐𝒐𝒍𝒔 𝒘𝒓𝒊𝒕𝒆 𝒘𝒊𝒕𝒉 𝒕𝒐𝒐 𝒎𝒂𝒏𝒚 𝒆𝒎-𝒅𝒂𝒔𝒉𝒆𝒔—𝒍𝒊𝒌𝒆 𝒕𝒉𝒊𝒔? There’s a funny story behind it. When Medium was started, its founder Evan Williams (who also co-founded Twitter) really liked the em-dash. He thought it looked stylish and clean. So he told his team to make the editor automatically replace two dashes (“--”) with one long em-dash. Millions of people used Medium over the years. Which means millions of posts quietly picked up Evan’s personal punctuation habit. Then came the AI companies. They scraped huge amounts of web text to train their models and a lot of that text came from Medium. So the AI learned that “good writing” often includes a lot of em-dashes because that’s what humans had been doing all along. One small design decision ended up teaching machines how to write. That’s how culture sneaks into technology. Every design choice carries a human fingerprint. Even punctuation has bias. 𝑰𝒏 𝒕𝒉𝒆 𝒆𝒏𝒅, 𝑨𝑰 𝒐𝒏𝒍𝒚 𝒓𝒆𝒇𝒍𝒆𝒄𝒕𝒔 𝒘𝒉𝒂𝒕 𝒘𝒆 𝒈𝒊𝒗𝒆 𝒊𝒕. 𝑰𝒇 𝒚𝒐𝒖 𝒇𝒆𝒆𝒅 𝒕𝒉𝒆 𝒎𝒂𝒄𝒉𝒊𝒏𝒆 𝒒𝒖𝒂𝒍𝒊𝒕𝒚, 𝒊𝒕 𝒍𝒆𝒂𝒓𝒏𝒔 𝒒𝒖𝒂𝒍𝒊𝒕𝒚. 𝑰𝒇 𝒚𝒐𝒖 𝒇𝒆𝒆𝒅 𝒊𝒕 𝒄𝒓𝒂𝒑 𝒊𝒕 𝒃𝒆𝒄𝒐𝒎𝒆𝒔 𝒄𝒓𝒂𝒑. #𝐀𝐈 #𝐖𝐫𝐢𝐭𝐢𝐧𝐠 #𝐃𝐞𝐬𝐢𝐠𝐧𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 #𝐓𝐞𝐜𝐡𝐂𝐮𝐥𝐭𝐮𝐫𝐞 #𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 #𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 #𝐇𝐮𝐦𝐚𝐧𝐈𝐧𝐓𝐡𝐞𝐋𝐨𝐨𝐩
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Hey 👋 I recently created an AI-powered automatic Tweet posting workflow using n8n, and it’s a total game-changer! 🤖💬 Here’s what it does ⬇️ 🕒 Every 2 hours, the workflow automatically: 1️⃣ Fetches the latest tweets from selected creators in your niche (you can define who your inspiration is 👤). 2️⃣ Keeps that data rolling for 6 hours, so the content stays fresh and updated 🔄. 3️⃣ Stores the data neatly inside Google Sheets for tracking and reuse 📊. 4️⃣ Before posting, it uses AI magic (GPT + Image Generator) to: ✍️ Rewrite the tweet in a creative, engaging style — always under 280 characters.🎨 Generate a brand-new image that visually represents the rewritten tweet (no reused visuals!). 5️⃣ Finally… it auto-posts the tweet + image directly to Twitter (X) 🐦🔥 The result? 👉 Your Twitter feed stays active 👉 The content is always original 👉 No more manual curation or scheduling hassles I’m super excited about how this automation blends content curation, AI creativity, and workflow automation into one seamless loop 🤩 💡 Tech Stack Used: 🔹 n8n (workflow automation) 🔹 Google Sheets (data storage) 🔹 OpenAI (text rewriting) 🔹 DALL·E / Stability.ai (image generation) 🔹 Twitter API (posting) If you’re into content automation, social media growth, or AI workflows, this setup might just inspire your next project! ⚡ #n8n #Automation #OpenAI #AIAutomation #TwitterAutomation #NoCode #ContentCreation #AIForSocialMedia
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The internet isn't just changing. It's dying. Reddit cofounder Alexis Ohanian just said what many of us have been thinking: "Much of the internet is now dead." Botted. Quasi-AI. Even Sam Altman admitted he's seeing more LLM-run accounts than real people on Twitter now. Here's what this means for marketers: We're entering the era of "Proof of Life" marketing. The future isn't about who can generate the most content fastest. It's about who can create the most human connections. While everyone's racing to automate everything, the real competitive advantage will be authenticity at scale. Think about it: - Where do you get your best information now? Probably group chats with real people you trust. - Where do you actually engage? Content that feels genuinely human. - What cuts through the noise? A real voice, real experience, real insight. This shifts how we should be thinking about growth: Stop optimizing for volume. Start optimizing for verifiable humanity. The brands that win won't be the ones with the most AI-generated posts. They'll be the ones that build real communities, foster actual conversations, and create content that could only come from lived experience. Your competitors are all using the same AI tools. Your differentiation isn't in the tech—it's in the human insight behind it. The "dead internet theory" isn't a theory anymore. It's a warning. And it's also the biggest opportunity for marketers who understand that people buy from people, not from algorithms. What do you think? Are we heading toward a more human internet, or deeper into the bot-verse? Source: https://lnkd.in/g9Wtd9J3
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🚨 600,000 lines of code. 58 hours of reading. That’s what Alex Finn went through to crack the X (Twitter) algorithm. The findings? Eye-opening. Here are the top lessons if you want to win on X: 1️⃣ Replies > Likes → Replies are worth 14.5x more than likes. Profile clicks are 12x more than likes. Engagement depth matters. 2️⃣ X = Video first → Videos are being pushed harder than ever. Video ads = big money. If you’re not creating video, you’re invisible. 3️⃣ Stay on platform → Consistently linking out kills your reach. X wants attention kept inside. 4️⃣ Toxicity is punished → Trolls and attackers get flagged by the algo. 5️⃣ No spamming → Repetitive posting = instant penalty. 💡 The big picture: X is rewarding conversation, video, and trust — not vanity likes or spammy tactics. Creators who adapt fast will own the platform. Everyone else will be shouting into the void. Are you shifting your strategy yet? #SocialMediaStrategy #XAlgorithm #ContentMarketing #Growth #AI
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🚨 Breaking Update! Elon Musk just announced that X (formerly Twitter) is about to undergo a massive algorithm shift. According to him, > “The X recommendation system is evolving very rapidly. We’re aiming to delete all heuristics within 4–6 weeks. Grok will literally read every post and video (100M+ daily) to match users with content they’ll find most interesting.” This means the old algorithm will soon be gone. Grok — X’s new AI — will take over content recommendation, reading every post and analyzing engagement patterns to show the most relevant content. 💡 In simple terms: Small creators will finally get visibility if their content is genuinely valuable. You’ll be able to customize your feed just by asking Grok. Engagement will depend more on content quality than follower count. The X algorithm will never be the same again. Exciting times ahead for creators and marketers! 🚀 #ElonMusk #X #Twitter #AI #SocialMedia #Algorithm #DigitalMarketing
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Everyone’s chasing AI hype. Few are building real businesses. Every founder right now feels like they're in a race. AI announcements every day. Funding rounds hitting your feed. Everyone seems to be building faster, raising more, moving quicker. The FOMO is real. I keep seeing the same pattern: founders burning out chasing the wrong thing. They're hunting investors when they should be finding customers. They're building features when they should be building relationships. The work that actually moves the needle? Getting your product in front of people. Finding the channels that work. Building a group of people who actually care about what you're making. (Yeah, it's less exciting than a funding announcement. But it pays the bills.) Show up consistently. Be real with people. Create something people want to talk about. Not because it's the latest tech. Because it solves a problem they actually have. Calm down. Stop refreshing Twitter for the next AI breakthrough. Focus on the people who already need what you have.
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Spending hours staring at a blank X (Twitter) feed, wondering what to post? This is my 𝗫 (𝗧𝘄𝗶𝘁𝘁𝗲𝗿) 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺, an automated workflow that turns a single topic into three complete, ready-to-publish posts—complete with custom images. Here's exactly how it works: 1️⃣ 𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗵𝗲𝗲𝘁𝘀 𝗧𝗿𝗶𝗴𝗴𝗲𝗿: It all starts here. Just type one topic (e.g., "AI Automation") into a single cell. 2️⃣ 𝗔𝗜 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗘𝗻𝗴𝗶𝗻𝗲 (Gemini): The workflow triggers. Gemini AI researches your topic on Twitter for relevant ideas. It writes 3 distinct, high-quality posts with clean formatting. It generates 3 custom images, one for each post. 3️⃣ 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿 (n8n): Everything is sent back to your Google Sheet. When you mark "GO," the n8n workflow automatically uploads the media and posts the tweet via the Twitter API. Built entirely in n8n with Google Sheets, Gemini AI, and the Twitter API. Perfect for: 🎯 Agencies managing multiple client accounts 🚀 Solopreneurs building a personal brand ✍️ Content creators who need to post daily 📊 Marketers scaling their content output Cost per post: ~$0.02-0.05 (API calls) Time to generate (3 posts): < 2 minutes Manual work: 10 seconds (to type the topic) Want the complete workflow? 👉 Comment "𝗧𝗪𝗜𝗧𝗧𝗘𝗥" below and like this post — I'll send you the n8n workflow files and Google Sheet template. MUST BE CONNECTED! P.S. The full tutorial video is coming soon. Repost for priority access ♻️
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We all want personalized experiences that make products feel bespoke to us. They help us develop relationships with the products and businesses that do that well, driving loyalty and advocacy for the time and effort these builders take to show us some love. So, as businesses and product builders, how do we actually pull that off? We've been talking about personalization since terms like 'big data' were getting thrown around in the zeitgeist and X was still called Twitter. Although names change, the need for executing personalization is still alive and well. BUT the game has changed with, you guessed it, AI! I wrote a quick 5 minute read on my Substack about personalization in the age of AI (https://lnkd.in/gT2ukTxZ), which lays out 3 personalization models to show how personalization has evolved as businesses and products have tried to crack the personalization 'holy grail.'
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Anthropic has pulled off one of the biggest rebrand masterstrokes that should be studied by every marketer👇 2024 Anthropic: “AI will replace humans.” 2025 Anthropic: “AI for the thinking person.” Look, every one player, be it OpenAI or Meta, is pushing for the AI revolution in their messaging. But Anthropic did the opposite. Anti-slop. They did what no competitor was doing. IRL (In Real Life) campaign. Positioned the campaign around “Thinking”. - Opened a “Thinking Space” pop-up in the West Village - Ran community events like “Built with Claude Sonnet 4.5” - Doubled down on “Keep thinking” billboards (focus on AI + human collab) Tech Twitter went buzzing. Folks started comparing it to Apple's OG campaigns. While that might be a stretch, kudos to Anthropic's team.
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Most people still underestimate the power of one good promotion. I helped an AI company go from unknown to viral using nothing but strategy, storytelling, and distribution on Twitter. Here is how I made it work: 1. Found their real story ⤷ Not our AI is amazing, but the actual problem it solves ⤷ Focused on why their audience should care, not just what the product does 2. Kept the message simple ⤷ No technical jargon or complicated explanations ⤷ Every post answered one question: How does this help me? 3. Posted strategically, not randomly ⤷ Right timing matters more than posting 10 times a day ⤷ Engaged in the right conversations at the right moments 4. Built content around outcomes ⤷ Showed what users get, not how the technology works ⤷ People buy results, not features 5. Stayed flexible with feedback ⤷ When they wanted changes, I handled them fast ⤷ No delays, no pushing back on revisions 6. Made consistency the priority ⤷ Showed up every day with the same clear message ⤷ Trust builds when people see you are reliable Here is what the client said after the campaign. This is what happens when you mix clarity with consistency. If you are building an AI product and want people to actually notice it, what is stopping you from getting started?
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