Otherside's AI Assistant - Hyperwrite

Analyzes surrounding text in Gmail, Google Docs, and web forms to predict and auto-complete the next sentence or phrase. The extension captures DOM context (previous sentences, subject line, recipient metadata) and sends it to a cloud backend that generates contextually appropriate continuations using a language model, then inserts the completion inline without requiring user navigation away from the current document.

Analyzes incoming email content (sender, subject, body, conversation history) to generate contextually appropriate replies that match the detected tone and formality level. The extension extracts email metadata and full thread context, sends it to the backend for analysis and generation, and presents a draft response that users can edit before sending. Supports both quick replies and detailed responses.

Analyzes text in Google Docs and other writing contexts to identify clarity, conciseness, and style issues, then suggests improvements inline. The system highlights problematic passages (wordiness, unclear phrasing, passive voice, repetition) and provides alternative suggestions that users can accept or reject. Operates as a real-time writing assistant that doesn't require leaving the document.

Generates original written content (articles, essays, blog posts, social media captions) on user-specified topics using a language model backend. Users provide a topic, optional outline or style preferences, and the system generates multi-paragraph content that can be edited inline. Supports multiple content formats (blog post, social media, academic, creative writing) with format-specific optimization.

Condenses articles, emails, documents, or web content into summaries of user-specified length and detail level. The system extracts key information, identifies main points, and generates a condensed version that preserves essential meaning. Users can adjust summary length (brief, medium, detailed) and receive output in multiple formats (bullet points, paragraph, outline).

Rewrites text passages to improve clarity, conciseness, or tone while preserving original meaning and voice. The system analyzes the input text, identifies improvement opportunities (wordiness, clarity, tone mismatch), and generates alternative phrasings. Users can specify rewrite goals (simplify, formalize, make conversational, improve clarity) and the backend generates multiple variations.

Simplifies complex or technical concepts into accessible explanations suitable for non-expert audiences. The system analyzes input text (technical documentation, academic paper, complex explanation) and generates simplified versions that use everyday language, analogies, and concrete examples. Output is calibrated to specified audience level (child, teenager, adult without domain knowledge).

Generates speech scripts, presentation outlines, and talking points for public speaking engagements. Users provide topic, audience, duration, and tone preferences; the system generates structured content with opening hooks, main points, transitions, and closing statements. Output can be formatted as full script, bullet-point outline, or speaker notes.

Searches through millions of peer-reviewed academic articles and research papers to find sources relevant to user queries. The system performs semantic search across academic databases, retrieves full citations with metadata, and can generate formatted citations in multiple styles (APA, MLA, Chicago). Results include abstracts and relevance scoring to help users identify most useful sources.

Allows users to create custom AI-powered tools tailored to specific workflows by defining input prompts, output formats, and tool behavior. Custom tools are stored in user account and can be invoked via the Chrome extension or web interface. The system executes custom tools using the same backend infrastructure as built-in tools, enabling workflow-specific automation without coding.

Provides a chat-based interface (HyperChat) for multi-turn conversations about research topics, problem-solving, and complex questions. Users can ask follow-up questions, request clarifications, and build on previous responses within a single conversation thread. The system maintains conversation context across turns and can reference earlier messages to provide coherent, contextually aware responses.