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GENERAL MODELS + EXPERT MODELS + AGENTS
EntroSPY LawEntropy Engine
A three-layer architecture combining general-purpose models, a Multi-Expert Reasoning Model Cluster and agents for complex-matter deep analysis with iterative L1→L2→Ln evaluation.
The problem
Complex-matter intelligence requires more than retrieval or a single model response. It needs persistent matter representation, specialist reasoning and a controlled analysis loop.
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Three-layer architecture: general models, expert models, agents
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L1→L2→Ln iterative deep analysis
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Seven-dimension analysis framework
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Entropy-based quantitative evaluation
Core mechanics
A durable, inspectable intelligence layer for complex matters.
Matter Knowledge Base
Classify matter files and preserve structured material for traceable reuse.
Relational Matter Database
Persist entities, events, legal relationships, disputed issues and review decisions.
Relationship Graph & Evidence Chains
Connect claims and findings to supporting or conflicting sources.
Multi-Expert Reasoning Model Cluster
Cross-check specialist analysis through the agent collaboration layer.
Capabilities
AI-generated reports and documents are presented as drafts for professional review. EntroSPY does not guarantee legal, enforcement, recovery or investment outcomes.
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