NobleBlocks
May 22, 20263 min readdeep-reviewagentsai

Deep Review: let an agent do your literature search

For questions that need more than one search query, Deep Review builds a research strategy, runs it, and hands you a fully-cited briefing.

Deep ReviewAgent plan · 4 steps1Decompose research question→ 6 sub-queries2Search 300M+ papers→ 184 candidates3Score & filter→ 24 most relevant4Synthesise with citationswriting…AI

Some questions don't have a single-paper answer. "What does the current evidence say about psychedelic-assisted therapy for treatment-resistant depression?" — that touches clinical trials, mechanistic neuroscience, regulatory guidance, and meta-analyses. You'd need 5-6 different searches to cover it properly.

Deep Review does those searches for you. It takes your question, breaks it into sub-questions, runs each one against our 300M+ paper index, reads the best hits, and writes you a structured briefing with inline citations. Basically a tireless research assistant that reads fast and always shows its sources.

The process

  1. Breaks your question into 4-8 targeted sub-queries, each capturing a different angle.
  2. Runs each sub-query with different filter strategies (RCTs for one, reviews for another, etc).
  3. Scores results by relevance, recency, citation count, and study quality.
  4. Reads abstracts and full text (where open-access) for the top hits.
  5. Writes a structured briefing organised by theme, with every claim cited inline.

You can see everything it's doing

This isn't a black box. You see every sub-query as it runs. You see which papers it's considering. You can step in at any point — refine a query, exclude something irrelevant, or ask a follow-up about a specific finding. The final output is a briefing you can audit, not a magic answer you have to trust.

It's especially useful for interdisciplinary questions, for mapping fast-moving research areas, or for getting up to speed on something outside your main field. Finds connections across subfields that you'd miss searching within your usual journals.

Run a Deep Review.

Try Deep Review →

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