WRITER has been named the Best AI Platform at the 2026 @Digiday Technology Awards! 🏆 Generic AI creates generic companies. Most tools know nothing about your brand, your rules, or your team's hard-won decisions. They're built for individuals, so what one person knows rarely carries across the team. But no customer meets just one person. They move through dozens of teams and touchpoints. Winning depends on everyone moving together on the same shared foundation. We built WRITER for that reality. Our agents plan, execute, and scale multi-step work across the whole customer journey. Brand and compliance are built in. Context carries across sessions and teams. Supervision is granular at every step. Our work with @Qualcomm brings this win to life. Qualcomm's marketers protect more than 1,200 trademarks, their brand portfolio and their IP across 12+ product launches a quarter, meaning legal and brand compliance is an essential workflow. With WRITER, they’re able to tackle their biggest bottleneck head-on, reinforcing brand and legal rules at generation so compliance is baked in from the start. And because brand guidelines live inside every output, every handoff (from brief to creative to content) is already on-brand. That means Qualcomm marketers can speed up and scale entire processes while taking on more work from start to finish themselves. Together, we’re setting a new standard for brand excellence. Thank you to Digiday for the recognition and to Qualcomm for showing what agentic marketing looks like in practice. ❤️

The average knowledge worker switches apps 100+ times a day. We've all done the ritual: copy the question from Slack, open a new tab, paste it in, re-explain the backstory, then copy the answer back into the thread. It's exhausting just to type. 😮‍💨 Until now! WRITER now lives inside @SlackHQ and @Microsoft Teams. Add it to a channel and it just… knows the conversation. Your playbooks, your brand voice, your connected apps, all of it. One message and it's off doing the actual work, landing the result right back in the thread where your team can see it, reply to it, build on it. No new tab or re-explaining needed. Not even a "let me pull that up." It's on your phone too, so a quick voice note on the way home means the follow-up is already drafted by the time you're back at your desk. The easiest place to start real work is the app you already have open.

WRITER + Snowflake = your data, straight into campaigns 💪 Our native Snowflake connector, built on @Snowflake's MCP Server, pulls live governed data straight into WRITER, so segments, LTV scores, and churn signals land in every marketer's hands, not just the analysts. From there you generate the brief, the assets, the landing pages, and the copy, all on-brand with voice, approved terms, and compliance baked in. Once the campaign is live, results land back in Snowflake alongside the rest of your governed data. WRITER uses that full picture to spot what's converting, where spend is leaking, and who's fatiguing, then recommends the next move. A human approves, and WRITER puts it into action. More here: writer.com/product/snowflake…

"When agents handle more of the work, how do you make sure the work that's left is more human, not less?" That's the question Sara Brooks has been working through at BetterHelp, the world's largest online therapy platform, with 6 million people helped and more than 30,000 therapists. When your brand is built on human connection, marketing that feels automated just doesn't work. So her team built BetterHelp’s brand standards into every marketing workflow agent, making sure the work still sounds like them. Then they tested it. One campaign built with AI performed 15% better than the traditional version. Another came together in 45 minutes, instead of the three weeks it would have taken with an agency. On Oct 1, Sara joins our CMO @diego_lomanto to share how her team reorganized around outcomes instead of tasks, and what it took to get there: go.writer.com/betterhelp-web…

Every time a meeting ends and someone says "I'll send notes," a small part of you dies. Your team's best insights and decisions get created in a meeting  room, then get buried in notes no one ever opens again. WRITER Meet turns conversations into agentic action. Add it to Zoom, Microsoft Teams, or Google Meet and it transcribes and summarizes in real time, so you can stay present instead of typing. Then it goes further. Run a Playbook and WRITER Agent takes it from there: recaps land in the team channel, plans update, and the next steps get handled across WRITER and your connected apps, all within minutes.

Did you spot us around San Francisco last week? 👀 WRITER was proud to sponsor @Dreamforce 2026, and we showed up in a big way. From LED trucks cruising San Francisco to our story on screen at Moscone North, column wraps across campus, and a mango smoothie station keeping the community fueled, we brought WRITER to life all over the city! But the real highlight was the conversations. We loved hearing directly from the Dreamforce community about what's possible with enterprise AI, and it reminded us why we do this work. Thanks to everyone who stopped by. Until next year! ☁️

Sara Brooks, Chief Growth Officer at @betterhelp, didn't ask her team to just adopt AI. She built her own agent first. When adoption still lagged, she cleared 50% of her most curious team member's time and built an AI excellence function from scratch. What happened next: an A/B test that outperformed, a campaign built in 45 minutes instead of three weeks with an agency, a set of guardrails that keep every agent's output sounding like BetterHelp, not generic AI. Real people, real results, radically simpler and more human. This is what it looks like when a marketing team stops using AI to go faster and starts using it to work differently. BetterHelp already did it. And we're SO excited to help tell that story. On Oct 1, Sara sits down with our CMO @diego_lomanto to unpack the six-function framework behind it all. go.writer.com/betterhelp-web…

Your AI agent just wrote a launch email that could've come from any of your competitors. Word for word. Almost two years into agentic AI and teams are shipping 10x more content, but with the same generic output. We built 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐁𝐫𝐚𝐢𝐧 to fix that. It's the universal context layer that captures what makes your company distinct, and makes it usable by every agent, in real time. It gives your agents four things they've never had: 1️⃣ 𝐀𝐠𝐞𝐧𝐭 𝐌𝐞𝐦𝐨𝐫𝐲: Everything your teams learn as they work. Decisions, customer signals, the judgment calls that live in Slack threads. Captured and applied to every task. 2️⃣ 𝐁𝐫𝐚𝐧𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: your messaging, voice, visual identity, colors, and logos, automatically enforced so every agent works from the full picture of how your brand looks and sounds. 3️⃣ 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐥𝐢𝐛𝐫𝐚𝐫𝐲: your team's best work, turned into context. Agents build on what's already approved instead of starting from scratch. 4️⃣ 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐥𝐨𝐠𝐢𝐜: your rules and legal guardrails, applied at creation rather than bolted on after. Approval cycles move faster. Every agent reads from Enterprise Brain before it produces anything. Every campaign writes back to it when it's done. The system gets smarter, but more importantly, the work stops being generic and starts being unmistakably yours.

Most memory systems are built to remember the personal things: people, places, events, the name of your dog, Biscuit. Enterprise work has a different shape. When someone asks "how does this team typically qualify a sales opportunity?" it doesn't matter what your favorite TV show is, or that you take Biscuit to the groomer on Wednesdays. This context has its own structure: a stage, an owner, a scoring system, an outreach plan. We built Agent Memory on an opinionated ontology shaped around enterprise work: tasks, requirements, deliverables, the projects they roll up into, the conventions a team settles into along the way. This means the key context isn't a pile of docs, spreadsheets, and slideshows every retrieval pass has to re-read. It has shape. We still remember Biscuit. She's in the picture, just not the focus. What matters is how your company works, and how AI can help you get work done. Full writeup on how we built it, the ontology, the write operations, retrieval, and team-level scoping, here: writer.com/engineering/build…

Most sales and marketing teams run on relay. Marketing updates the messaging, and it takes multiple emails and training sessions for Sales to hear about it. A rep learns something on a call, and it takes a Slack message, a meeting, or someone just remembering for that insight to ever reach marketing. Most of the time, it doesn't. With Enterprise Brain, that relay is gone. A field call surfaces a priority nobody saw coming. By that afternoon, marketing is already writing to it. No meeting. No handoff. Nobody had to remember to pass it along. Because now sales and marketing are pulling from the same source: a shared context layer that gives agents everything a company knows about its brand, customers, and go-to-market. The same context that keeps a rep's deck on-brand and compliant is what lets a marketer see field signals the moment they happen. writer.com/blog/enterprise-b…

Introducing Enterprise Brain: the shared GTM context layer, for an always-on customer journey that's distinctly yours. We rebuilt our platform to turn how your team works, its brand, its ways of working, the things only your company knows, into shared context for humans and agents across sales and marketing. With Enterprise Brain, agents stop producing generic work and start producing *your* work. And the system only gets smarter with every campaign and every deal, making a company running on WRITER harder and harder to copy. What's new: → 𝐀𝐠𝐞𝐧𝐭 𝐌𝐞𝐦𝐨𝐫𝐲: Transparent, team-level memory that learns your team's facts, decisions, and preferences, and puts them to use wherever they're needed. No more context dumps at the start of every session. → 𝐁𝐫𝐚𝐧𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Goes beyond tone and style to your messaging, content, visual identity, colors, logos, sub-brands, and sub-voices, so every output actually sounds like you. → 𝐀𝐩𝐩𝐫𝐨𝐯𝐞𝐝 𝐜𝐨𝐧𝐭𝐞𝐧𝐭: All your best decks, one-pagers, and more, ready to be personalized, so no one has to start from scratch or dig up the right file. → 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐥𝐨𝐠𝐢𝐜: Agents already know your legal guardrails by industry and region, so first drafts meet your standards from the start. PLUS: WRITER for @SlackHQ & @MicrosoftTeams turns team conversations into real work and shared context, right where you collaborate. And 𝐖𝐑𝐈𝐓𝐄𝐑 𝐌𝐞𝐞𝐭 turns meetings into shared context everyone can act on, not transcripts stuck in a folder. No custom engineering, no weeks of setup. Share a few work samples, upload your brand guidelines, point it at your website. Enterprise Brain takes it from there and keeps up as your brand evolves. The result: sales and marketing become one unified GTM function, shipping content aligned to the same messaging and standards, learning from each other in real time, and giving your customer one distinct experience at every touchpoint. writer.com/blog/enterprise-b…

This one's spicy 🌶️ We put an industry voice, an enterprise CMO, and an AI CEO in a room and told them to hash out the thorniest questions in agentic GTM. What came out as obvious was... agentic GTM isn't a tool problem. It's a systems problem. Bolting an agent onto a funnel that's already leaking doesn't fix the leak. @shellypalmer put it bluntly, “we're all in the same ocean, but no one's in the same boat.” @donnymac pushed back with where he thinks the industry is actually getting it right. And @may_habib called out the instinct CMOs keep leaning into, the one that's quietly holding marketing back. Three vantage points. One conversation. Full fireside at our product launch event on September 9: go.writer.com/september-prod…

With AI budgets ballooning, new ideas for managing cost are taking shape

New in WRITER: controls and cost management for agentic work. Today, AI agents can do more than ever, but in production, trust hasn't caught up. Business teams hesitate to let agents execute. IT hesitates to run them at scale. So critical workflows stay manual, and everyone loses ground. We're adding new controls to AI Studio so you can put real guardrails around agentic spend and adoption: → Spend controls with alerts AND hard limits, so the bill never runs away → Adoption tracking by team, playbook, and workflow, filterable any way you need → Workflow governance: scale, reassign, or disable Playbooks across the org Now you can see exactly where token consumption is going, set thresholds that actually hold, and track which workflows are driving ROI across the org. Set the limits. WRITER holds them. Your teams keep shipping.

San Francisco, you showed up! 🌉 Yesterday marked the final stop of our Agentic Enterprise GTM Executive Series. We brought together leaders from across industries to dig into what it really takes to build an AI-native organization, and how leadership itself has to evolve to get there. We heard from GTM leaders at @salesforce, @EdwardJones, @AlignTechInc (Invisalign), @FranklnTempletn, and @Labcorp who shared candid, firsthand looks at how they're driving AI transformation from within. From building momentum and adoption across the enterprise to reimagining how AI-native teams operate and orchestrate work, they gave us a real playbook for what this shift looks like in practice. Then it was time to build. Attendees rolled up their sleeves and got hands-on in WRITER, turning real business challenges into agentic workflows they can bring straight back to their teams. A few brave souls even hopped up on stage to share what they built with the room. A huge thank you to our speakers and everyone who joined us, shared their perspective, and built alongside us. What a way to close out the series! 🙌

Three leaders. Three very different vantage points on what happens when AI scales across GTM. On September 9, we're bringing together a candid conversation about the questions enterprise leaders are facing as AI moves from individual productivity to the entire GTM motion. On the panel: 🌟@shellypalmer, CEO at @PalmerGroupHQ & LinkedIn Top Voice, has spent his career advising Fortune 500 companies on what emerging technology means for business. 🌟@donnymac, EVP & CMO of @Qualcomm, leads global marketing at one of the world's leading technology companies and has been named one of Forbes' World's Most Influential CMOs four years running. 🌟@may_habib , CEO & co-founder of WRITER, works with some of the world's largest enterprises as they rethink how work gets done with AI. Together, they'll tackle what actually creates competitive advantage when everyone has AI, how to scale AI across GTM without creating more silos, and why marketing has a real opportunity to take the reins. Plus: our CEO May Habib will share her vision for the future of the customer journey, an exclusive first look at what's next from WRITER, and enterprise practitioners putting AI to work across GTM right now. Join us! go.writer.com/september-prod…

75% of leaders told us their AI strategy is basically "for show." We surveyed 2,400 knowledge workers to find out why, and the answer wasn't the models. It was the approach. Most orgs are trying to jump straight to autonomous AI without ever building the muscle to get there. So we broke it down into four stages: 1️⃣ 𝐂𝐫𝐚𝐰𝐥 → assistive agents for small, high-volume work. Let people get comfortable before you ask them to trust an agent with anything bigger. 2️⃣ 𝐖𝐚𝐥𝐤 → knowledge agents that answer questions using your own company data, not a generic model's best guess. 3️⃣ 𝐑𝐮𝐧 → action agents that plan and act across your systems: updating a CRM, sending an email, publishing content, without a human clicking through each step. 4️⃣ 𝐅𝐥𝐲 → a coordinated team of specialized agents running an entire process end to end, with humans watching the guardrails instead of doing the manual work. Employees who go beyond basic prompting save 4.5x more time a week, and they're 3x more likely to get promoted. AI fluency isn't just a productivity story anymore. It's a career one. Our team put together the full breakdown, plus a framework for governing all of it safely in this guide: go.writer.com/adopting-agent…

The WRITER <> @contentful connector is now live! Your content team doesn't live inside one tool. You draft in WRITER, then copy, paste, and reformat everything into Contentful. That context-switching breaks focus, kills momentum, and slows down the whole team. This connector turns WRITER into a digital teammate for your entire content org, writing on-brand content directly into Contentful drafts, ready for review and publication. This means: → 𝐌𝐚𝐫𝐤𝐞𝐭𝐞𝐫𝐬 get on-brand copy variants grounded in your brand guidelines and performance data, then pushed straight to Contentful for A/B testing. No more hand-carrying copy between tools. → 𝐖𝐞𝐛 𝐭𝐞𝐚𝐦𝐬 get meta titles, descriptions, and SEO fields updated across multiple entries at once, so pages stay optimized without the manual grind. → 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐭𝐞𝐚𝐦𝐬 get properly structured rich text generated in WRITER and written directly into existing entries, leaving a clean draft with no formatting cleanup. One workflow, pulling from Contentful and pushing back to where your team already works, turning drafts into published content without the copy-paste tax!