What problem does it solve? Deep research questions—market analyses, comparisons, literature reviews—require gathering and synthesizing many web sources with citations, which is slow and error-prone when done manually or with single-shot searches. ## Core Features & Use Cases - Deep Research Reports: Runs multi-source research through the Tavily CLI and returns a structured report grounded in cited web sources. - Model and Output Control: Choose mini, pro, or auto models, stream progress, define a JSON output schema, and pick citation formats like MLA or APA. - Async Workflow: Start long-running research with a request ID, poll for status, and save results to a file. - Use Case: Ask for a comparison of AI agent frameworks and receive a cited report in 30-120 seconds, saved directly to a Markdown file. ## Quick Start Ask the assistant to research the competitive landscape of AI code assistants and produce a cited report using the Tavily research command.