Long-form research and engineering essays on router models, expert systems, distributed inference, multimodal infrastructure, and the architecture around modern AI.
A first-principles look at monolithic LLM inefficiency, AI inference cost, latency, capability mismatch, and why routing changes the economics of AI systems.
A technical overview of router-based AI systems, including task classification, expert selection, cost-aware routing, failure handling, and evaluation metrics.
A technical article on expert-model orchestration, capability addressing, typed interfaces, context exchange, interpretability, and failure modes.
A systems-oriented article on distributed AI inference, expert scheduling, parallel execution, consistency challenges, latency tradeoffs, and mesh architectures.
A research-oriented article on multimodal reasoning systems, shared context layers, cross-modal routing, memory requirements, and future architectures.