Turn raw AI browsing output into a synthesis that groups evidence by claim instead of paraphrasing each source in sequence.
Synthesis reorganizes evidence around the question. The model can summarize each source, but a useful research deliverable groups evidence by claim. That shift is what makes the report decision-ready. Instead of walking the reader through the order of discovery, you show them the strongest supported claims, the evidence behind each one, and the disagreements that still matter. Build claim buckets Extract the handful of claims that matter to the decision. Put supporting evidence from multiple sources under each claim, and note whether those sources are independent or downstream echoes. Add confidence and disagreement A synthesis is stronger when it says…
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