The 6-Agent Industry Research Protocol

4. The 6-Agent Industry Research Protocol

A new "6-Agent" mechanism for industry research has gone viral among AI-native consultancies. The protocol uses a cross-examination mechanism where multiple specialized agents (e.g., a "Market Skeptic," a "Technical Lead," a "User Advocate") debate a specific project选题. This "adversarial collaboration" significantly reduces human bias in research and identifies risks that a single-prompt analysis would miss.

This highlights the shift from "AI as a researcher" to "AI as a research committee." By structuring agents with conflicting goals, users are getting higher-quality, multi-dimensional reports that are ready for executive-level decision making.

Why it matters:

• Multi-agent systems are proving more reliable than single-agent systems for complex, strategic tasks
• The "adversarial" prompt structure is becoming a standard best practice for high-stakes analysis
• The cost of high-quality, deep-dive industry research is dropping toward zero

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