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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.
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 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
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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
Put Your Superhuman Go Custom Agents to Work in Slack, a Salesforce Company

Put Your Superhuman Go Custom Agents to Work in Slack, a Salesforce Company

by David Driscoll, Software Engineer Think about the best teammate you have. You don’t have to hand them the same task list every morning. They know their role expectations, how your team operates, and when they should jump in without being told. You trust them to read the room.
More AI Output Isn’t the Same as More Marketing Impact

More AI Output Isn’t the Same as More Marketing Impact

Marketing teams love their AI, and who can blame them? Marketers report some of the highest AI impact of any professional function. Eighty-six percent say AI helps them feel more accomplished, and 88% say it makes ambiguous, difficult work easier to start, exactly the kind of work that fills
Cognitive Load Is the Metric No One’s Tracking

Cognitive Load Is the Metric No One’s Tracking

Ask a knowledge worker if their tools are working for them, and most will say yes. According to Superhuman’s Human + Technology Index, 86% of workers say their tools help them deliver high-quality work, and 83% say AI makes them feel more accomplished. So why does it still feel
New Threats Demand New Approaches: How Superhuman Security Engineers Use AI

New Threats Demand New Approaches: How Superhuman Security Engineers Use AI

By Igor Tarpan, Security Intelligence Engineer, Superhuman With a thin, in-house-built harness, we can build and deploy agents in under an hour—all without replicating the underlying agent infrastructure Today, sophisticated cyberattacks have become as cheap and consumable as tokens, and the Superhuman Security Engineering team takes this