What a great two days at the @Gartner_inc Marketing Symposium/Xpo™! 🙌 The momentum in that room was hard to ignore. Forward-thinking CMOs. Big questions. Even bigger ambitions. Our own @AndrewRacine joined Tara Castrejon and Karen Rodriguez from @NewAmericanTeam on stage to explore "Redefining What a Modern Marketing Organization Looks Like with Agentic AI." They discussed how leading teams are restructuring, realigning, and reimagining what's possible when agentic AI becomes the backbone of their operations. A key takeaway from this week: marketing's seat at the C-suite table is expanding. And agentic AI is the reason why. To everyone who chatted with us, attended our session, or shared a moment at the booth, thank you! ❤️

[NEW RESEARCH] The more AI knows you, the more it copies your mistakes. Our research team tested how personalization and memory features affect model accuracy across frontier models. What they found is worth paying attention to. Without those features, models answered correctly. Add them back in, and accuracy dropped by as much as 71%. When a model has context on your past preferences and beliefs, it starts treating them like ground truth. It stops pushing back and starts going along with you. In finance or healthcare, where accuracy is non-negotiable, that's a serious problem. Full findings: writer.com/engineering/perso…

"One-off prompting just doesn't work for keeping a brand consistent across a growing team." Tara Castrejon at @NewAmericanTeam, knew they needed something more durable. So they baked their brand DNA directly into WRITER. Now staying on-brand is as simple as clicking a button, and it speeds up everyone's day. And next week on June 9, Tara and Karen Rodriguez from NAF are joining our own Andrew Racine at the @Gartner_inc Marketing Symposium/Xpo™ to talk about what it actually looks like to rebuild a modern marketing org around agentic AI. We're so excited for this one! 🤩 gartner.com/en/conferences/n…

Your blog could update itself. Like actually update itself…finding content gaps against your competitors, identifying ranking opportunities, writing the posts, and staging them directly in your CMS. We built a five-agent team that does exactly this using live Semrush data. The loop works like this: the agents scan for gaps, plan the best path forward, draft the content, and push it to staging. You review and publish. A final agent comes back a few days later, checks how the rankings moved, and feeds that data back to the first agent to improve the next run. With practice, this means waking up to a Slack message with a short list of suggested updates ranked by impact. You approve the ones you like. The agent pushes them live. You never touch the CMS. The SEO team becomes the editor, not the busy work executor.

WRITER has been named to the @Inc's Best Workplaces list for the THIRD year in a row! 🏆❤️ We’ve always believed that AI should make work better, bigger, and a lot more human for the people doing it. But that future only gets built when a team genuinely cares and shows up consistently to make it happen. Our radical approach to enterprise AI, our obsession with deep, transformative customer partnerships, and our legendary WRITER speed are rooted in the foundation our founders @may_habib and @waseem_s have built over the last six years. But that culture is kept alive, shaped, and driven forward by the remarkable people who show up to build a better future of work every day. To every single person on the WRITER team: this is YOUR win! And yes, we are hiring! Come build with us: writer.com/company/careers/?…

If your AI strategy starts and ends with 'saving hours,' you're leaving revenue on the table. The real opportunity is connecting AI directly to your core systems, your CRM, marketing automation, and data, to build an autonomous engine that drives pipeline and sales. But how do you move your team from one-off prompts to repeatable playbooks, to proactive agents? Our CMO, @diego_lomanto mapped out the step-by-step progression we've used at WRITER to scale our GTM motion, now turned into a practical guide. Here's the full roadmap: go.writer.com/ai-native-mark…

WRITER @semrush = SEO insights turned into published content, instantly 🤝 SEO insights stuck in a dashboard don't drive revenue. And generic AI just creates more work when you have to constantly switch tabs, export data, and rebuild context. You need specialized agents connected directly to your tech stack. With our new Semrush connector, users can now pull live keyword intelligence, monitor rankings, and generate SEO-grounded briefs directly where your content gets made. Search intelligence meets brand-compliant execution, all in one place!

How many times has your team generated a great AI draft, only to spend an hour fixing the brand voice? Rephrasing an unapproved claim? Editing em dashes and Oxford commas? This month, we launched upgrades to our suite of brand features. You can now enforce Voice, Style Guide, and Terminology as one SYSTEM, ensuring every output is not only ON-BRAND from the first draft, but uses your exact writing style and language, too. No manual uploads of brand guidelines required. We also shipped a massive wave of updates to elevate your entire AI workflow: → Live Semrush data inside WRITER (no manual exports) → One-click Google Drive exports for seamless collaboration → Shareable Projects to give collaborators visibility into sessions, source files, and deliverables Because AI shouldn't just make one person faster. It should elevate the WHOLE team. Check out the full release: writer.com/blog/new-roundup-…

What an incredible few days on the ground at @vodafone's Newbury HQ! 🇬🇧 Last week, our team set up shop at Vodafone’s internal vendor expo to connect directly with their People, Network, and Customer teams. We spent the week building playbooks and AI agents in WRITER and exploring how enterprise AI can empower them to hit their goal of being #1 in Customer Experience. Thank you to the Vodafone team for hosting such a great event!

We used AI to destroy AI-isms 🤠 Nothing ruins a great message faster than robotic clichés, grandiose framing, or the word "delve." But keeping up with the latest AI tells is a full-time job. So we built a skill in WRITER that automatically hunts down and eliminates AI-isms from your copy. Combine it with your custom voice, and you get drafts that are actually ready to publish. No more having to waste time rewriting generic output or fixing simple tells. Just polish, perfect, and publish!

Seattle has always been a city of builders and enterprise innovators. Today, we’re making it the newest home for WRITER. 🏠❤️ Enterprise AI has to be built and delivered differently. The largest organizations in the world want outcomes, governance, and long-term partnership. To move at the pace the agentic era demands, we are putting down roots in Seattle to be closer to our customers. Led by our new AVP - West for Customer Success David Downs, and our VP of Product Management Doris Jwo, we are building a powerhouse team in the Pacific Northwest to help the Global 2000 navigate the agentic era. We're hiring across CS, Sales, and Engineering starting today. If you’re in the Seattle area, come build with us: writer.com/company/careers/?…

🎓Introducing WRITER AI Academy, built for enterprise marketing teams ready to move past basic prompting and into real, agentic workflows. We all know the pressure to "adapt or die" with AI. But finding time to actually build workflows that save you hours? That's the hard part, especially when you're already stretched thin. That's why today, we're opening the doors to WRITER AI Academy for everyone (no account required). Our new flagship Passport curriculum, live workshops, and hands-on demos will help your team break through the AI plateau and put it to work for real. So you can get back to the human connections and judgment calls that only you can make. Upskill your team. Earn credentials. Redesign how you work. So, what will you build first? 👀 academy.writer.com/?utm_sour…

Blog publishing is tedious. Draft the post, copy-paste into WordPress, format everything, find images, set categories, update project trackers, notify your web team. We built a skill in WRITER that does all of it. It connects to Google Docs and WordPress, drafts in your voice, generates images, stages to your CMS as a draft ready for review. Layer on Asana and Slack and it updates the blog status and notifies your web team automatically. A single prompt now handles your entire workflow! 💪

Everyone keeps repeating line: "AI costs are dropping 10× per year." And the bills are still going up. 😅 Per-token prices fell ~150× from GPT-4 to GPT-4o. In the same window, enterprise AI spend went from $11.5B to $37B in a single year. Across Ramp's customer base, AI spend grew 13×. The price curve is collapsing. The bill curve is exponential. They are not the same curve. Here's what's actually happening in 2026: → Peter Steinberger ran 100 coding agents in parallel for one month. The bill: $1,305,088. 603 billion tokens. 7.6 million requests. OpenAI covered it as an experiment in "how software would be built if token costs didn't matter." → The creator of Claude Code told Lenny's Podcast that Anthropic's own engineers are spending "hundreds of thousands a month in tokens." One was clocked at $150K/month. Single engineer. → Salesforce told the All-In Podcast they expect to spend $300M on Anthropic in 2026. Mostly coding. → Uber's CTO publicly admitted they burned through the entire 2026 AI budget in 4 months. → One Claude Max user — on the $200/month plan — consumed $51,291 of compute in a single calendar month. → Anthropic now has 1,000 customers spending $1M /year on tokens. Two years ago that number was 12. And the kicker, for anyone watching the wrapper layer: @cursor_ai paid an estimated $650M to @AnthropicAI last year on ~$500M in revenue. Negative 30% gross margin. Their @awscloud bill doubled in 30 days when @AnthropicAI introduced priority tiers. Their response was the only response that works — they shipped their own model, Composer. @github Copilot loses $20/user/month. Replit's gross margin swung between 36% and negative 14% in 2025. Every coding company that survives is quietly building or buying its own model. The ones that aren't, won't be here in 18 months. Why is this happening? The per-token price is the supply curve. Nobody is tracking the demand curve. Reasoning models burn 10–100× more tokens than the models they replaced. Agents burn thousands of times more than chat. Context windows expanded 100×. Headline rate goes down 10×. Tokens consumed per task go up 100×. You do not need a CFO to finish that math. And the frontier labs themselves are not winning this game. OpenAI's adjusted gross margin fell from a 46% target to 33% in 2025 as inference costs quadrupled. Anthropic spent $2.66B on AWS through September 2025 on $2.55B of revenue — they are paying more for compute than they collect from customers. So they're doing what any business under that pressure does: splitting subscription tiers, retokenizing Opus to bill 35% more for the same text, killing unlimited plans. OpenAI's head of ChatGPT said it out loud: "Unlimited AI is like an unlimited electricity plan. It doesn't make sense." That sentence is the entire enterprise AI strategy debate in 11 words. If you are a Fortune 500 CTO renting frontier API tokens for your production workload, you are not buying a falling price. You are buying a contract whose volume your own product roadmap is engineered to multiply, against a provider whose unit economics require that multiplication. Your bill in 2027 is not going to be smaller. It is going to be the size of an engineering org. The companies that figured this out early — @cursor_ai with Composer, @cognition with SWE-1.5, @Get_Writer with Palmyra-LLM. RL-tuned on the workflows that actually matter. The math is not subtle: a domain-tuned model running on your own hardware beats a frontier API on cost-per-task by one to two orders of magnitude on the workloads that matter most. Per-token prices will keep falling. Enterprise token bills will keep rising. The only way out of that scissors is to stop being a tenant. The frontier labs are great at research. They are not your infrastructure. Build the model.

WHAT A DAY! 🙌 Yesterday, we gathered in Chicago for our Agentic Enterprise Go-to-Market Executive Series. We heard from Tara Castrejon (@NewAmericanTeam), Will Zheng (@FocusFinancial), and Marilia Moreira (@WhirlpoolCorp) who gave us an unfiltered look at what transformation actually looks like inside modern enterprises and how they are navigating the shift toward modern go-to-market strategies. Together, we explored a critical truth: marketing leadership has to evolve before an organization can truly transform. We dug into what it takes to drive adoption, build the right culture, and deliver measurable results as teams shift toward AI-powered go-to-market strategies. To close out the day, Danny Graziosi and Matt Sobel led a 90-minute hands-on build session. Attendees brought real go-to-market challenges and built custom playbooks in WRITER that they can take back to their teams immediately. Huge props to everyone who joined us to shape the conversation and show us what's possible when you put strategy into action! Next up: NYC on June 11: go.writer.com/roadshow-2026-…

55% of enterprise marketing teams describe their AI rollout as a "chaotic free-for-all." That chaos has a sound. It sounds like "leverage." Like "unlock unprecedented value." Like copy that could belong to any company in your category... and probably does. 🫠 That's what's on the left. Same prompt, no brand standards applied. Twelve AI-isms. Score: 36/100. The right is what happens when your voice, terminology, and messaging frameworks are built into the AI before generation starts. Score: 97/100. Most teams are still trying to fix this in review. Our newly launched AI and Brand Integrity Guide makes the case for fixing it in the infrastructure instead: go.writer.com/ai-brand-integ…

That’s a wrap on an incredible few days at the @Gartner_inc Marketing Symposium/Xpo™ in London! 🇬🇧 We loved hearing from so many forward-thinking marketing leaders who are eager to shape the future of work with AI. A major highlight for us was Patrick Shephard taking the stage to discuss "The AI Operating Model that Scales" and explore how Fortune 500 enterprises are successfully moving their AI initiatives from pilots to production. If there’s one key takeaway we’re bringing home, it’s this: The difference between AI ambition and real, organization-wide impact isn't just the technology, it’s the operating model. And the companies at the symposium are at the edge, leading the way for true AI transformation. Thank you to everyone who stopped by to chat, attended WRITER’s session, and shared their insights with us. We are excited to continue building this future together!

Next week, the Agentic Enterprise executive series is coming to Chicago! 🏙️ We're SO excited to facilitate an unfiltered conversation on the future of GTM with a powerhouse lineup of innovators, including Marilia Moreira (Director of Digital Marketing, @WhirlpoolCorp), Tara Castrejon (SVP Head of Marketing, @NewAmericanTeam, Will Zheng (Senior Director of Corporate Strategy, @FocusFinancial), and more! Plus an opening keynote from our CMO @diego_lomanto on why marketing leadership has to evolve before the rest of the organization can. These leaders are already running the plays others are still debating. They're bringing the unfiltered truth on what's moving the needle, and what's not, as they build AI into the core of how their organizations operate. Join us! go.writer.com/roadshow-2026-…