Tip · Anthropic Claude Academy & AI Codex
Use Claude Deep Research to cut market research time by 90%
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Claude's Deep Research feature automates exhaustive multi-source research that would normally take days, pulling from hundreds of sources and synthesizing findings into cited, reference-grade reports. For market analysis, competitive intelligence, or due diligence, this cuts research time from 8+ hours to 20 minutes while maintaining full source transparency.
Deep Research isn't a simple web search—it's a structured 5-step process that breaks your question into subtopics, runs parallel searches for each dimension, cross-checks conflicting claims, and produces a final synthesis with confidence ratings on each source. Unlike standard web search that returns links, Deep Research returns a complete analytical brief with citations you can directly paste into reports or presentations.
To access it, open Claude.ai on a Max, Team, or Enterprise plan, toggle Research on in your chat (the toggle appears at the top of new conversations), and ask your question. For example: "Research the state of AI adoption in healthcare in 2025-2026. What are primary use cases, reported results, and barriers to adoption?" Claude will spend 15-20 minutes running coordinated searches, then present a structured report with a table of contents, embedded citations you can click to verify, and source confidence ratings.
The key professional advantage: every claim in the output is traceable to a source. When you share a Deep Research report with stakeholders or include findings in a competitive brief, you can click any citation to verify it's real, dated, and from a credible source. This eliminates the hallucination risk that makes raw AI outputs risky for business decisions.
Pro tip: Put your most important context first in the question—Claude weights information at the beginning and end of prompts more heavily. Phrase questions as structured requests: "Research [topic]. Cover: [dimension 1], [dimension 2], [dimension 3]. For each, identify key players, recent developments, and forward-looking indicators." This produces organized output you can use directly in decks or reports.
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Original source: Anthropic Claude Academy & AI Codex