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An agent pattern that fans out many searches, reads dozens of sources, cross-checks them, and synthesizes a cited report.
Deep research agents turn one question into a research plan: they run waves of searches, fetch and read sources, verify claims against each other, and assemble a structured answer with citations — all in one long autonomous run. It trades speed for thoroughness, often taking minutes and many tool calls instead of one shot. The key quality lever is adversarial verification: making the agent check whether sources actually support a claim before it writes it down.
Plainly
Think of Deep Research as a simple recipe for doing the work better. An agent pattern that fans out many searches, reads dozens of sources, cross-checks them, and synthesizes a cited report.
In practice
Use it when you need a repeatable method instead of guessing from vibes. In practice, define the owner, input, output, and failure mode before you rely on it.