Glean 🤝 @salesforce AgentExchange Our MCP server brings enterprise context into Agentforce, helping teams prepare for meetings, draft follow-ups, spot deal risks, and recommend next steps directly in Salesforce.

OpenAI's GPT-6 Astra is available today in Glean 💫   In our internal evals, it led GPT-5.6 Sol with a 66.76% overall preference rate. Its clearest edge is in long-running artifact workflows, where it reasons across large amounts of evidence to build ready-to-use deliverables. Watch it build a cross-functional project tracker for a complex launch, then try GPT-6 Astra in Glean.

Thanks to @karibriski and Vivek Raghunathan for joining me on stage at Glean:GO last week. Two lines from our conversations have stuck with me. Kari: “Bugs are love letters to my products.” At @nvidia, one of her favorite uses of @Glean is asking which bugs are affecting a product, what’s going wrong, and why. I love the attitude. Don’t hide from the bug queue, it’s one of the clearest signals you have about where the product needs work. Vivek: “There’s a difference between using AI to save yourself 20 minutes and using it to accomplish 80% of your work.” That’s the right bar. The bigger question is what becomes possible when AI takes on most of the work. @Snowflake is working toward that shift, with @Glean helping its engineers find information faster. Thank you both for sharing what you’re learning, and for trusting Glean with part of the work.

That’s a wrap on Glean:GO 2026 🎬 A quick look back at the ideas, conversations, and product moments shaping the intelligence era. Catch up on every session →

Gemini 3.8 Flash is available in Glean today, giving you more options for which model works best for your work. In our evaluations, it completed more than 3x as many tasks as Gemini 3.7 Flash across long-running, document-heavy workflows.

Becoming AI-first is not just a technology strategy. It’s an organizational design problem. Last week at @Glean:GO, leaders from some of the world’s largest companies—like @GM, @Ericsson, @Cisco, @Deloitte, @Mastercard, @Dell, and @GeneralMills—showed that even organizations with long histories can become AI-first. But the transition requires redesigning how work gets done, not simply adding AI to the existing stack. A few themes stood out: - 𝗠𝗼𝘃𝗲 𝗳𝗿𝗼𝗺 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼𝗼𝗹𝘀 𝘁𝗼 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗼𝘄𝗼𝗿𝗸𝗲𝗿𝘀. On stage with @OpenAI’s @embirico and @CNBC’s @Kr00ney, we discussed why most companies barely tap AI’s potential: workers don't know what to ask. When AI has deep context—your role, OKRs, and daily tasks—it can proactively propose work by default, eliminating the friction of prompt engineering. - 𝗥𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗮𝘀𝗸𝘀. The biggest constraint is often the coordination around a task: handoffs, context switching, and silos. If the workflow stays the same, much of AI’s productivity gain is lost. This is why we built Glean Transform, to map how work actually happens and redesign it around AI. - 𝗕𝗮𝗸𝗲 𝗶𝗻 𝗗𝗮𝘆 𝟬 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆. In my conversation with @Cisco’s @jpatel41 and @Deloitte’s Ashish Verma, a shared reality emerged. Enterprise AI cannot scale as a collection of ad-hoc initiatives. To give organizations the trust needed to hand over real, mission-critical work, Day 0 security and fine-grained data governance must be built directly into your core systems of record. - 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆. @DaVita has saved 75,000 days of work using Glean. But as Madhu Narasimhan, CIO of DaVita, emphasized, the ultimate measure is human impact: giving a caregiver five more minutes with a patient. - 𝗖𝗿𝗲𝗮𝘁𝗲 𝗰𝗹𝗲𝗮𝗿 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽, 𝗼𝗳𝘁𝗲𝗻 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗮 𝗖𝗔𝗜𝗢 𝗿𝗼𝗹𝗲. In a panel with CAIOs from Capgemini, Mastercard, Ericsson, and Zapier, leaders emphasized that without clear ownership, AI remains a collection of disconnected initiatives instead of becoming a new operating model. Thank you to our customers, partners, speakers, and Glean team for showing what it looks like to build an AI-first organization in practice. We’re honored to be a partner in that journey.

Claude Fable 5.1 is now available in Glean, alongside 40+ open and frontier models. Our judges preferred Fable 5.1's answers roughly 2:1 over Fable 5 across everyday knowledge questions, high-intent research, and drafting and artifact work, with improved response grounding.  Watch @claudeai Fable 5.1 plan an architecture redesign of a complex software project.

AI doesn’t live in one front door anymore. 🚪 At Glean:GO, we introduced Glean AI Gateway, one governed layer for LLMs and MCP. It gives enterprises control and ownership over the models, context, skills, and memories behind every front door. Own your AI wherever work starts.

Meet Glean Tau, the only desktop AI workspace that unifies local files, apps, and code with comprehensive enterprise context in one governed place. It plans, executes, reviews, recovers, and acts on your behalf from a single desktop surface. Live from #GleanGO# 🎥

Learnings from looking at 10,000+ agent traces in the enterprise 1/n The "jagged frontier" is here to stay It's becoming clear that LLMs can be post-trained to solve whatever tasks we throw at them, as long as the task can be packaged into a verifiable RL environment. However, each model will be trained on a different data mix, and there is limited "cross-task transfer", leading to each "frontier" model being the best at different task distributions. We see this today with Claude/Kimi being better on visual/front-end, GPT being better on backend, and we'll likely keep seeing it because each lab will train their model on a different data mix

The intelligence era is here….and it’s powered by Glean. 💡 Glean’s context across your work makes it more efficient, secure, and proactive.  From Glean Tau, our new desktop AI workspace, to autorouting, a unified AI gateway, and proactive independent agents, our new updates unlock AI’s potential.  Join the live Glean:GO keynote today at 9am PT to see them all in action:

Proud to join the coalition supporting a more open, competitive AI ecosystem. A more open ecosystem gives enterprises greater choice at the model layer. Glean is built to make that choice useful in the real world. We saw early that enterprise AI is dependent on trusted company context. We defined that foundation, and we’re proud to support a more open ecosystem built on it.

Meet Waldo: Glean’s first agentic search model. Built on @nvidia Nemotron 3 Nano and post-trained for search planning, Waldo figures out how to break down a query, which tools to call, what to read next, and when it has enough evidence to hand off.