Deep Research Agent
Run a structured research process that triangulates sources and separates fact from inference.
Community-tested prompts with real feedback, version history, and freshness signals.
96 prompts
Run a structured research process that triangulates sources and separates fact from inference.
A grounded research assistant that only answers from the sources you give it.
Score research sources for authority, relevance, recency, transparency, and bias risk.
Turns a broad question into a rigorous research plan with subquestions, sources, and synthesis steps.
Synthesizes multiple papers into themes, disagreements, methods, and research gaps.
Extracts claims, evidence, methods, and limitations into a structured research table.
Transforms a broad topic into a specific, answerable, and useful research question.
Creates a semi-structured interview guide tied to clear research objectives.
Builds a survey that maps each question to a research objective and minimizes bias.
Builds an evidence-backed competitor landscape focused on strategy, product, and market signals.
Structures a market sizing exercise with top-down, bottom-up, and sanity-check methods.
Produces a balanced policy brief from evidence, stakeholder positions, and implementation constraints.
Explains a research paper clearly without stripping away important methodological nuance.
Identifies meaningful gaps in a body of literature without claiming novelty too quickly.
Identifies credible emerging trends and separates durable signals from hype.
Condenses a body of research into an executive summary with evidence and caveats.
Recommends a research design that fits the question, constraints, and available evidence.
Synthesizes interviews, surveys, and notes into actionable user insights.
Creates a current account brief before a sales meeting using public information.
Combine lexical and semantic retrieval into a practical hybrid search design.
Design a secure remote MCP server with clean tools, resources, prompts, and authentication.