Open-source intelligence (OSINT) and geospatial intelligence (GEOINT) analysts are drowning in data. Social media streams, news feeds, satellite imagery and sensor networks produce petabytes of information per day, far beyond what a single analyst or even a traditional AI pipeline can digest. Today's AI systems typically operate as single-perspective models, optimizing for a task without questioning their own reasoning. Such models may hallucinate facts or overlook ethical considerations, and no single model excels across all domains. Inspired by the MAGI supercomputer from Neon Genesis Evangelion, this paper proposes a three-persona AI system that "argues with itself" to produce more balanced intelligence products. Our system comprises an Optimist (Melchior) who proposes creative hypotheses, a Skeptic (Balthazar) who fact-checks and challenges those hypotheses, and a Synthesizer/Judge (Caspar) who integrates both viewpoints into a decision. We describe how this triad can handle OSINT tasks such as propaganda fact-checking and GEOINT tasks such as satellite image annotation. Implementation considerations favour open-source tools and multi-agent debate frameworks to reduce bias and improve transparency. We assess potential advantages-reduced hallucinations, explicit reasoning chains and better uncertainty quantification-and discuss challenges including coordination overhead and ensuring diverse knowledge bases. The paper concludes that a multi-agent "internal debate" architecture can enhance national security analysis, provided that rigorous evaluation and ethical frameworks are in place.