Developer Builds Four-Agent AI System to Evaluate B2B Startup Opportunities
A software developer has built a multi-agent AI research system called Startup Intelligence Team using Hermes Agent, designed to go beyond generic startup idea generation. The system comprises four specialized agents — a Startup Director, Market Researcher, Competition and Signals Analyst, and a Skeptic Editor — each assigned distinct roles and research responsibilities. Rather than producing a simple list of ideas, the workflow generates structured research outputs including market opportunity scores, competitor data, customer pain points, evidence-backed claims, and low-cost validation experiments. The developer's motivation was to reduce uncertainty in startup research, arguing that single-agent AI tools often conflate assumptions with evidence and compress complex market signals into vague, optimistic summaries. The Startup Director agent first converts a broad founder question into a bounded research brief and scoring rubric before delegating tasks to the other agents.
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