You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
Production reviews reveal inconsistent handling of uncertainty in final reports. Sometimes conflicting subagent findings are synthesized into a single confident statement, losing important nuance, while other reports use excessive qualifications and become unhelpful. The web-search agent returns, “Industry analysts estimate a $50 billion market size, although methodologies vary.” The document-analysis agent returns, “A peer-reviewed study estimates $35 billion, with a ±$7 billion 95% confidence interval.” The coordinator either selects one estimate arbitrarily or produces a vague $35–$50 billion range.
What systematic approach best addresses this?
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