LLM System Design: The Model Is One Component, Not the System
LLM system design treats the language model as one component among many: input handling, retrieval, prompts, tools, validation, storage and monitoring. Here is how the parts fit.
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AI System Design
System design is the old discipline of splitting a system into parts with clear jobs and clean interfaces. AI system design applies it to models: each agent does one job, loads only the context it needs, and hands a small, exact result to the next. Fewer tokens, better output. New post every day. For AI automation and CRM work, see the main blog.
Agentic AI System Design: How to Split Work Across Agents
Agentic AI system design is deciding which jobs get their own agent, what each agent sees, and what it hands on. A practical method for splitting work so agents stay small and cheap.
AI System Design: Classic System Design Principles, Applied to AI
AI system design takes the principles of classic system design, separation of concerns, clear interfaces, caching and failure isolation, and applies them to models, agents and context.