grammarlyJun 15, 2026

Say It, Then Send It with Speech to Text (opens in new tab)

Writing on a phone remains difficult because typing is slow and native dictation produces messy transcripts. Grammarly Keyboard’s speech-to-text feature aims to solve this by converting natural speech into polished, send-ready text directly within any iOS app. It removes filler words, verbal corrections, and grammar errors while preserving the speaker’s tone and intent. ## Polished Dictation Anywhere - Speech-to-text is built into the Grammarly Keyboard. - Users tap the microphone, speak naturally, and receive cleaned-up text in the active app. - The feature supports multiple languages, accents, and speaking styles. - Users can switch between dictation and typing or further edit text with Grammarly’s keyboard. - Grammarly’s AI assistant is also available within the same keyboard. ## Designed for Mobile Writing - The feature targets frequent mobile writers, including professionals, students, and people capturing ideas while away from a desk. - Noise reduction helps improve recording quality. - Recording starts only when the user taps the microphone. - An on-keyboard indicator and iOS’s orange status light show when the microphone is active. - Audio is deleted after transcription and is not stored, linked to the user’s account, or used for model training. ## How to Get Started - Download Grammarly for iOS from the App Store. - Add Grammarly under **Settings → General → Keyboard → Keyboards → Add New Keyboard**. - Enable full access so the keyboard can operate across apps. - Open any text field, tap the Grammarly microphone, and begin speaking. Grammarly’s speech-to-text is presented as a practical alternative to raw phone dictation, especially for users who want fast, polished mobile messages without manual cleanup.

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grammarlyApr 30, 2026

Educator of the Year (opens in new tab)

Grammarly’s inaugural Educator of the Year Award honors teachers nominated directly by their students. The first winner, Dr. Humberto López Castillo of the University of Central Florida, is recognized for teaching precise, accessible communication and applying it to public health, technology, and community engagement. His approach combines audience-aware writing, responsible AI use, and hands-on research. ## Student-Led Recognition - Students nominate educators through short videos describing their impact on academic and professional development. - UCF student Vardhan Avaradi nominated Dr. López Castillo for encouraging students to make their language “precise yet accessible.” - López Castillo is a pediatrician, public health researcher, translator, and four-language polyglot from Panama. - His teaching emphasizes collaboration and the connection between individual health and broader communities. ## Communicating With Different Audiences - Students translate complex public health topics for audiences outside academia. - Assignments have included: - Storybooks about mosquitoes for kindergarteners - Monopoly-style games about living with HIV - Rap songs explaining tuberculosis - Podcasts that personalize epidemiology - His medical experience informs this approach: communication must change depending on whether the audience is a child, parent, or professional researcher. ## AI Requires Human Judgment - López Castillo permits students to use AI for drafting but expects them to verify and critically evaluate its output. - When AI-generated citations referenced nonexistent research, he treated the error as a lesson rather than a punishment. - He compares AI to a calculator: useful and powerful, but dependent on the judgment of the person using it. - He and Vardhan are developing a machine learning project using the NIH All of Us dataset, which contains nearly one million de-identified health records. - Their research explores using AI to classify populations and predict health risks. ## Preparing Students for Broader Impact - Students leave with stronger writing, critical-thinking, collaboration, and communication skills. - López Castillo’s teaching focuses not just on adopting new tools, but on using them responsibly and communicating with purpose. - His students learn to reach people beyond academic audiences while keeping human needs at the center of technology and research. The post’s central recommendation is to pair emerging technologies with critical thinking, audience awareness, and a strong sense of social responsibility.

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grammarlyApr 13, 2026

The Trust Question: How Higher Education Is Really Navigating AI (opens in new tab)

Higher education’s AI challenge is fundamentally a question of trust, not simply technology adoption or resistance. Based on interviews with educators and administrators, institutions are balancing competing views about innovation, evidence, ethics, and practical outcomes. The central conclusion is that credible AI governance must make these differences visible and build shared understanding rather than rely on blanket rules or binary narratives. ## AI Policy Is a Campus-Wide Negotiation - Four recurring orientations shape institutional responses: - **Innovators** favor responsible adoption before reactive governance becomes necessary. - **Strategists** want stronger evidence before committing to change. - **Resisters** prioritize ethics, academic integrity, and institutional reputation. - **Pragmatists** focus on student success, equity, and workable implementation. - These perspectives often coexist within the same institution. - Differences between administrators, writing center leaders, and faculty can create productive debate or direct conflict. - Recognizing these mindsets helps institutions engage stakeholders more effectively. ## Institutions Need Alignment, Not More Tools - Leaders consistently asked for alignment with institutional priorities, constraints, and values—not additional technology. - Effective partners should help institutions understand trade-offs rather than impose preselected solutions. - Skeptics need language that allows them to raise concerns constructively. - Advocates for adoption must recognize that resistance often reflects responsibility rather than fear of change. - AI is forcing institutions to clarify long-standing tensions such as: - Speed versus rigor - Access versus control - Innovation versus stability ## Academic Integrity as a Trust Problem - The common starting question—how to prevent students from misusing AI—is too narrow. - Academic integrity also asks whether institutions trust students and whether students trust their institutions. - Excessive restrictions can communicate distrust, while a lack of governance can appear negligent. - K–12 and higher education face different accountability structures, but both must create guidelines that reflect their actual educational values. - Many educators are shifting: - From detection to judgment - From surveillance to discernment - From punishment to responsibility - Integrity policies therefore communicate what an institution believes learning is for. ## Governing Under Uncertainty - Leaders are tired of portraying AI as either an existential threat or a universal solution. - They need principled language for discussing uncertainty with students, faculty, families, and governing boards. - Every AI decision sends a message about institutional values and credibility. - Maintaining trust requires thoughtful governance, shared understanding, and honest engagement with uncertainty—not stricter rules alone. Institutions should treat AI governance as an ongoing process of alignment and trust-building. Rather than beginning with enforcement or technology procurement, they should clarify their values, acknowledge competing perspectives, and develop policies that support informed judgment and shared responsibility.

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grammarlyMar 10, 2026

Superhuman Launches First-of-Its-Kind Agent-Specific Attribution With Grammarly Authorship Update (opens in new tab)

Superhuman is expanding Grammarly Authorship into its AI-native Docs workspace with agent-specific attribution and default-on tracking. The update records whether AI contributed to research, generation, or revision, while students retain control over whether reports are shared. The company argues that transparent authorship can help schools replace blanket AI bans and detection-based enforcement with more informed, responsible AI education. ## Agent-Specific Attribution - Authorship can now identify which Superhuman AI agents contributed to a document and how they were used. - It distinguishes among: - Research support - Content generation - Revision and feedback - This gives educators more context for evaluating the writing process rather than only the final submission. - Featured agents include: - **Reader Reactions:** Predicts audience responses and suggests improvements. - **Citation Finder:** Locates supporting or challenging sources and formats citations. - **Proofreader:** Improves clarity, flow, correctness, and stylistic consistency. - **Fact Checker:** Finds evidence that supports or disputes claims. ## Default-On Authorship in Docs - Authorship is now available by default in Superhuman Docs. - Students no longer need to manually activate tracking. - The system records human writing, AI-generated content, and AI-edited text as work progresses. - Students still control access: instructors cannot see a report unless the student chooses to share it. ## Supporting Academic Integrity - Authorship is intended to reduce reliance on potentially inaccurate AI-detection tools and false positives. - More than 5 million Authorship reports have been generated since its beta launch in October 2024. - Rowan-Cabarrus Community College reported a 96% reduction in academic integrity violations in one semester after adopting the tool. - The company says process visibility can help educators teach responsible AI use instead of focusing primarily on punishment or prohibition. ## Institutional Controls and Availability - Educational administrators can configure which AI agents are available to students and faculty. - Authorship is available in Docs at no additional cost and is also supported in: - Google Docs - Microsoft Word - Canvas - The feature is part of Superhuman’s broader effort to provide AI transparency wherever students write. Superhuman recommends using Authorship as a foundation for nuanced AI policies and process-based assessment. By showing how AI was used while preserving student choice over sharing, the tool aims to support both academic integrity and practical AI literacy.

aidatabase-designeducational-technologyproductivity-tools+4

grammarlyFeb 23, 2026

Superhuman Go Scales Agent Ecosystem With New Partner Agents From Box, Gamma, and Wayground (opens in new tab)

Superhuman Go expands Grammarly’s workflow assistant with agents that connect enterprise knowledge, create visual content, support learning, and improve communication. These integrations let users work directly from their existing context instead of switching between tools, while keeping tasks such as document reuse, presentation creation, research, and feedback in one workflow. ## Enterprise Knowledge and Workflow Automation - **Box** connects document repositories to Go, allowing users to: - Create Box documents in the appropriate folders. - Search existing files for summaries, extracted information, and reusable knowledge. - Find the latest document versions while keeping Box as the source of truth. - **Common Room** brings buyer intelligence from multiple channels into users’ workflows. - **Fireflies** surfaces meeting summaries, action items, and key decisions to speed up follow-up. - **Parallel** checks facts, recommends citations, and adds real-time data for more credible work. - **Latimer** combines internal search with bias detection to support precise, fair writing. ## Visual Content Creation - **Gamma** turns notes, documents, and meeting recaps into polished, structured presentation decks. - **Napkin AI** converts written content into visual frameworks designed to improve clarity and drive action. ## Interactive Learning - **Wayground** creates quizzes and flashcards from content visible on screen, including emails, documents, slides, and web pages. - **Quizlet** transforms notes, essays, and other written materials into flashcards with a single prompt. - **Speechify** supports listening at speeds up to 4.5 times faster using AI voices designed to improve comprehension. ## Communication, Feedback, and Compliance - **Radical Candor®** helps users handle difficult feedback using Kim Scott’s framework. - **Saifr** assists financial organizations with clear, compliant public communications by detecting regulatory risks and suggesting safer language. ## Building Custom Agents - The Superhuman Agents SDK and MCP client allow organizations to build agents that operate across Go. - The SDK is currently in private beta, with applications available for organizations interested in developing their own agents. Superhuman Go is available to Grammarly users through its Chrome and Edge browser extensions, with Mac and Windows support planned. Together, the integrations position Go as a central workspace for turning existing information into documents, presentations, learning materials, research, and compliant communications without constant tool switching.

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