Dev.to
5/10/2026
Tianshu: A Theoretical Mixture-of-Experts Architecture for Domain-Specific AI Models
Original: I Designed an AI Architecture With 200+ Specialist Models — And It Makes GPT-5.5 Look Like a Calculator
Short summary
The author proposes Tianshu, a Mixture-of-Experts architecture that routes queries to 200+ hyper-specialized AI models instead of relying on one generalist. Each expert masters a narrow domain—Rust memory safety, Python analytics, etc.—coordinated by a routing brain performing intent decomposition and expert matching. Claims higher accuracy than GPT-5.5 and Claude but remains theoretical without production evidence.
- •Tianshu splits AI into 200+ domain-specific expert models coordinated by a routing brain
- •Intent decomposition and complexity grading drive query routing to the right specialist
- •Conceptual architecture presented without real-world deployment or validation
Generated with AI, which can make mistakes.
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