Response Time

Deep research is AI-driven approach to gathering, analyzing and consolidating mass amounts of data across the web, documents, and other sources to deliver a comprehensive report. Deep Research is similar to having an AI research assistant or analyst, which uses an LLM built on AI reasoning to develop and execute a research plan for you.

A process where the user adjusts or rephrases their prompt to obtain a more accurate or relevant response from the AI Assistant. Refinement helps the AI better understand the user's specific needs, ensuring that the output aligns more closely with the desired outcome.

Input provided in everyday conversational language, as opposed to structured commands. The AI Assistant processes natural language input, allowing users to communicate without special formatting or technical instructions.

The information retained from previous interactions that the AI Assistant uses to maintain continuity and relevance in ongoing conversations. Context helps the AI tailor its responses to align with past user inputs.

An AI system designed to assist users in managing tasks, retrieving information, or facilitating conversations. AI Assistants are commonly integrated into workflows to enhance productivity and efficiency by offering consistent, real-time support.

A series of interactions between a user and the AI Assistant, typically involving multiple related tasks. The AI Assistant uses context from previous exchanges to maintain coherence and respond appropriately as the chat progresses. During a chat, the user might request the assistant complete multiple tasks such as planning an itinerary or researching restaurants, all within the same thematic context.

The underlying goal or desired outcome a user aims to achieve when interacting with the AI Assistant. Understanding user intent is essential for the AI to generate relevant responses or perform appropriate tasks.

An agent is a component of the AI system responsible for interpreting user input and executing tasks or actions in response. Agents can handle a variety of tasks, from answering questions to performing specialized actions like sending notifications or analyzing data. Agents work within the broader AI system, often interacting with other components like databases or user interfaces to deliver seamless user experiences.