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.

database-designaimachine-learningpublic-health+3

grammarlyMar 27, 2026

How to Create a Chatbot Step by Step: A Beginner’s Guide (opens in new tab)

Chatbot development begins with a focused purpose, not technology. By choosing the right interaction method, chatbot type, and platform, organizations can automate routine tasks and improve user experiences without necessarily needing developers. Successful chatbots also require deliberate conversation design, testing, monitoring, and continuous improvement. ## What Chatbots Can Do - Simulate conversations through text or voice. - Answer frequently asked questions and provide information. - Handle structured tasks such as: - Checking order status - Booking appointments - Explaining policies - Guiding users through onboarding - AI-powered and hybrid chatbots can manage follow-up questions and more complex, multistep interactions. - They can reduce repetitive work, improve response consistency, and help users reach solutions faster. ## Define the Chatbot’s Goal - Identify two or three specific tasks the chatbot should handle. - Define the target audience, such as customers, employees, or students. - Establish success metrics, including: - Fewer support tickets - Faster response times - Higher task-completion rates - A narrow, well-defined purpose makes the chatbot easier to design, test, and refine. ## Choose the Interaction Method - Decide whether the chatbot will be text-based or voice-based. - Text is generally simpler to build. - Voice requires additional technical setup. - Choose where it will operate, such as: - A website - Mobile application - Messaging platform - Internal company tool - Determine how conversations begin, whether through typed messages, preset options, or proactive prompts. - The access point and interaction style directly affect development and maintenance requirements. ## Select the Chatbot Type - **Rule-based chatbots** use predefined flows, menus, and decision trees for predictable requests. - **Keyword-based chatbots** respond to specific words or short phrases, such as “pricing” or “hours.” - **AI chatbots** use artificial intelligence and natural language processing to handle varied questions and contextual follow-ups, but require more testing and oversight. - **Hybrid chatbots** combine structured rules for common tasks with AI for open-ended questions. - The choice determines the chatbot’s flexibility, behavior, complexity, and ongoing management effort. ## Choose a Building Platform - **No-code platforms** such as Chatling, Voiceflow, Zapier, and Landbot use visual interfaces and are suitable for beginners and simple chatbot tasks. - **Low-code or full-code approaches** using technologies such as Python, Node.js, or AI frameworks provide greater customization and integration capabilities. - Platform selection should account for: - Cost - Integrations - Analytics - Scalability - Data protection - Required technical expertise ## Design the Conversation Flow - Map typical conversations before implementing the chatbot. - Planning helps identify missing responses, avoid dead ends, and create a smoother user experience. - Traditional chatbots generally use structured decision paths, while AI chatbots support more flexible conversations. - The flow should reflect the chatbot’s purpose and provide a clear route for completing tasks or escalating complex issues. ## Ongoing Improvement - Building and launching the chatbot is only the beginning. - Chatbots should be tested before release and monitored afterward. - Regular refinement, accurate training data, configuration updates, and performance reviews help maintain quality over time. A practical approach is to start with a narrow use case and a simple platform, then expand as user needs and performance data become clearer. Choose AI or custom development only when the chatbot requires more flexibility, deeper integrations, or complex conversational capabilities.

database-designnlpuser-experience-designno-code-tools+3

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.

database-designaieducational-technologyproductivity-tools+4

grammarlyFeb 3, 2026

From Idea to Demo in Two Days: Inside Superhuman’s 2025 Global Hackathon (opens in new tab)

Superhuman’s 2025 hackathon brought together nearly 500 employees to prototype innovative product features by leveraging cutting-edge AI coding tools like Claude Code and Cursor. By integrating AI-driven agents and keyboard-centric workflows, teams demonstrated how rapid experimentation can bridge functional gaps across mail, documentation, and collaboration platforms. The event highlighted a significant shift toward "vibe-coding" and accessible development, where cross-functional teams and non-engineers could ship functional MVPs in just 48 hours. ## Superhuman Command Everywhere (SCE) * This project extends the Superhuman Mail Command Center to the browser, allowing users to trigger Grammarly features, set reminders, and snooze items from any web page. * The tool enables keyboard-only navigation for AI agents; for example, users navigate Grammarly’s Proofreader cards using "J" and "K" and accept or dismiss suggestions with "E" and "D." * Developers used AI tools to quickly interpret an unfamiliar codebase, allowing engineers without frontend expertise to "vibe-code" a working MVP within a few hours. ## Whiteboarding in Coda * This feature introduces a native canvas within Coda documents where users can draw freely, add shapes, and import images for brainstorming and diagramming. * The prototype includes an AI diagramming tool that generates editable visual versions of diagrams based on plain-text descriptions. * Built by a solo team member with no formal coding background, the project utilized Claude Code and Cursor to focus on UX refinement and smooth interactions rather than just technical functionality. ## Superhuman Listening * This system centralizes fragmented customer feedback from tools like Gong, Salesforce, and Zendesk into a single, queryable source of truth. * By linking unstructured data to product roadmaps in Coda, the tool helps sales engineers and product managers determine if specific customer feedback is already being addressed. * Technical challenges included using LLM APIs to extract urgency and sentiment, though the team noted the difficulty of filtering "noise" from high-volume sources like Zendesk tickets. ## Inclusive Language Agent * Developed by a team of linguists, this agent identifies non-inclusive phrasing or unconscious bias in professional writing. * The goal is to provide real-time suggestions that improve workplace culture and customer trust by making word choices more inclusive and intentional. The results of this hackathon suggest that AI-assisted development tools are significantly lowering the barrier to entry for complex product builds. For organizations aiming to accelerate innovation, encouraging "maker" identities across all departments and utilizing AI to bridge technical skill gaps can surface high-value solutions that traditional product cycles might miss.

database-designkeyboard-shortcutsai-toolsgrammarly+4