How We Scaled Our LLM Inference Infrastructure to Serve 100+ Billion Requests a Week

How We Scaled Our LLM Inference Infrastructure to Serve 100+ Billion Requests a Week

By Christoph Stuber, Machine Learning Engineer, Superhuman, and Myke Troianovskyi, Tech Lead Manager, Superhuman. A core part of Grammarly is our GEC (Grammatical Error Correction) model, which continuously runs on a user’s writing and provides suggestions to improve its clarity and correctness. Users see these suggestions as red underlines
The Learning-Visibility Loop: How AI Should Participate in Education

The Learning-Visibility Loop: How AI Should Participate in Education

Superhuman’s point of view on the ethical use of AI in higher education: the learning-visibility loop, a model that makes student learning visible to faculty.
Research at Your Cursor: Building a Proactive Insights Agent on Superhuman Go

Research at Your Cursor: Building a Proactive Insights Agent on Superhuman Go

Don’t search for research. Let the right insights find you. Every company eventually encounters the same problem: it has more research insights than people can reasonably remember. A product manager writing a strategy may make a claim about what customers need while three existing studies complicate that assumption. The
Superhuman Acquires Fathom, AI Notetaker

Superhuman Acquires Fathom, AI Notetaker

Superhuman, the AI productivity platform bringing AI to wherever people work, announced today that it has acquired Fathom, an AI meeting partner trusted by hundreds of thousands of companies to capture, search, and act on what happens in meetings. Superhuman plans to bring Fathom’s AI notetaking capabilities to its
The Superhuman Salons: Perspectives on Leadership in the AI Age

The Superhuman Salons: Perspectives on Leadership in the AI Age

At the beginning of the year, as we considered introducing the Superhuman brand to the world, we knew we needed to anchor on deeply human experiences. We envisioned a new type of field event that was about AI on the surface, but underneath, it was really about people trying to
AI Literacy Starts with Staying Human

AI Literacy Starts with Staying Human

Superhuman's Chris Cummings joins Cedarville University's podcast to explore what AI literacy really means and why keeping the human voice matters most.
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The AI Job Apocalypse Paradox: Why 91% of Students Are Teaching Themselves AI Skills

The AI Job Apocalypse Paradox: Why 91% of Students Are Teaching Themselves AI Skills

College students are preparing for a job market they expect AI to reshape—and many are using AI to do it. In a new survey commissioned by Superhuman and conducted by Talker Research, only 45% of students felt positive about the job market they’ll enter after graduation, with 69%
AI Burnout vs. Overwhelm: What’s the Difference, and What Actually Helps?

AI Burnout vs. Overwhelm: What’s the Difference, and What Actually Helps?

Every week brings another announcement: a new AI company, a new product, another feature promising to make work easier. Workers are testing these tools and often finding real value. Most say their technology helps them produce high-quality work, stay productive, and feel accomplished. Each tool may solve a specific
How We Built Superhuman Go to Work Across Platforms

How We Built Superhuman Go to Work Across Platforms

By Oleksii Levzhynskyi, Area Tech Lead, Clients at Superhuman In 2025, when we changed the name of our company from Grammarly to Superhuman, our mission expanded from building an AI partner that helps you write to creating a team of agents that work seamlessly across every platform to help you
AI Agents Are Already in Your Institution. Here’s What That Means.

AI Agents Are Already in Your Institution. Here’s What That Means.

The next AI agent on your campus probably won’t arrive through a purchase decision. It will show up switched on inside a tool your institution already runs, added in an update to software that was up for renewal anyway. That’s how AI agents are spreading across higher education,
Why Most Campus AI Strategies Never Leave Paper

Why Most Campus AI Strategies Never Leave Paper

Nearly every college and university now has an AI strategy on paper. According to EDUCAUSE, 92% of institutions report a work-related AI strategy, most often built from piloting tools, weighing opportunities and risks, encouraging staff and faculty to use AI, and drafting policies and guidelines.1 By that measure,
Technical Teams Have the Access and the Skill. So Why Isn’t AI Value Adding Up?

Technical Teams Have the Access and the Skill. So Why Isn’t AI Value Adding Up?

Technical teams were supposed to feel the benefits of AI first. They live inside the systems where it runs, and many of them are the ones building it. Access isn’t the barrier: Nearly every technical worker already has AI writing, coding, summarization, and copilot tools at their fingertips, and