'deep-research' 검색 결과

Run Gemini research tasks that plan searches, read sources, and combine findings into cited reports. Specify a report structure, monitor progress, and continue earlier research with follow-up questions for market, technical, historical, or comparative studies.

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• Research a market and its competitors
• Review technical literature
• Compare products or technologies

Research markets, competitors, companies, and technical topics using multiple sources in Google NotebookLM. Produce a structured brief with key findings and recommended actions, with optional slides, podcasts, videos, infographics, reports, or mind maps.

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• Researching market trends and business opportunities
• Comparing competitors and their positioning
• Researching prospects before a proposal

Research a topic from multiple angles, preserve sources according to your privacy preferences, and summarize each one. Combine the evidence into a self-contained reference page, including limitations and counterarguments, with options to deepen the research later.

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• Building a reference guide on a new topic
• Keeping sources alongside individual summaries
• Comparing evidence, counterarguments, and limitations

Investigate a topic through multiple sources, including primary evidence and counterarguments. Save research materials and notes to files, compare conflicting findings, and produce a cited report that explains conclusions, uncertainty, and limits of the evidence.

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• Check the evidence behind a claim
• Review research papers on a topic
• Compare conflicting sources and findings

Research questions on the web and produce a report with source links. Read full pages, check important claims against independent sources, and clearly distinguish supported findings from uncertain evidence or disagreements.

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• Research a question that requires current information
• Cross-check important claims across independent sources
• Compare conflicting accounts and explain uncertainty

Research U.S. legal questions using Westlaw materials, including cases, statutes, and administrative decisions. Receive a written report analyzing relevant legal authorities, with support for questions covering up to three jurisdictions.

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• Researching how courts have ruled on a legal issue
• Checking claim elements and available defenses
• Examining how statutes and regulations are applied

Send research questions to a running NVIDIA AI-Q Blueprint backend and receive reports with citations and source URLs preserved. Track longer research jobs, check their progress, and retrieve completed reports after a local interruption.

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• Research a topic through AI-Q
• Check progress on a long research job
• Resume tracking research after an interruption

Organize complex research by splitting a topic into focused questions, assigning research agents, and checking important claims. Findings become a structured report with source links, conflicting evidence, and clearly stated uncertainties.

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• Reviewing research literature
• Researching industries and competitors
• Comparing technologies for selection

Prepare a finished research report for delivery by converting footnotes into numbered citations, merging sources with the same URL, and appending references. It also uses outline data to organize the summary and contents, while flagging unresolved citations.

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• Converting report footnotes into numbered citations
• Merging duplicate sources and building a reference list
• Checking citations with missing source information

Coordinate multiple agents to investigate competitors, markets, trends, or factual claims across several sources. Choose from three workflow levels to produce a referenced report, with additional review and follow-up research in the most extensive mode.

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• Comparing competitors or proposed solutions
• Researching market and industry trends
• Checking claims against multiple sources

Develop a research question, search and verify literature, combine findings, and produce a structured report. Seven modes cover guided research discussions, briefs, literature reviews, fact-checking, and systematic reviews, with statistical pooling of study results when appropriate.

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• Clarify a research topic through guided questions
• Build an annotated bibliography and synthesize findings
• Check claims against verified sources

Build sourced JSON dossiers on people, companies, or topics with DeepAPI. Use for profiles, prospects, vendor due diligence, or customer research across sources; use deep-research for recommendations.

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Run deep research through DeepAPI and save a report with sources. Use when asked for deep research, DeepAPI research, or Perplexity deep research.

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Deep research with hyperresearch, for Claude Code and OpenAI Codex. Use when the user asks for deep research, a research report, a literature review, or a multi-source analysis with verified citations. Checks that the hyperresearch CLI is installed, sets it up in the current project for the agent you are running in, then hands off to the hyperresearch pipeline (a tier-adaptive 16-step pipeline with a persistent source vault). Not for quick lookups one or two searches can answer.

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Event prospecting skill. Takes a conference / event speakers URL, extracts the people, filters their companies against the user's ICP, then deep-researches only the speakers at ICP-fit companies. Outputs a person-first HTML report where each card answers "why should the AE talk to this person?" with all public links and a one-click DM opener. Use when the user wants to: (1) find leads at a specific conference, (2) prep for an event, (3) research event speakers, (4) build a target list from a sponsor/exhibitor page, (5) scrape conference speakers and rank by ICP fit. Triggers: "find leads at {event}", "research speakers at", "prospect this conference", "stripe sessions leads", "ai engineer summit prospects", "event prospecting", "scrape conference speakers", "who should I meet at".

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Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).

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[omh] Deep dive before a decision: deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation discipline, verify contested claims, and distill a decision-grounding dossier that planning consumes; for a decision brief use research-brief, for upstream guidance use web-research. Use when the user says: research plan, literature review, research literature, review recent papers, deep research, deep-research, exhaustive research, saturation research.

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Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

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Read research outline, launch independent agent for each item for deep research. Disable task output.

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向现有调研outline补充字段定义。

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Summarize deep research results into markdown report, cover all fields, skip uncertain values.

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对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。

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向现有调研outline补充items（调研对象）。

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读取调研outline，为每个item启动独立agent进行深度调研。禁用task output。

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