AI & LLM Engineering · 3 min read
What a Production-Ready AI Assistant Actually Needs
A useful AI assistant is a software system, not a prompt. Here is the architecture behind reliable context, tools, safety and operations.
FIELD NOTES
AI & LLM Engineering
Practical production patterns for assistants, RAG, tools, memory and model operations.
AI & LLM Engineering · 3 min read
RAG vs Memory vs Tool Calling: What Each Layer Actually Does
RAG, memory and tools solve different problems. Mixing them together creates brittle assistants; separating them creates systems that can evolve.
AI & LLM Engineering · 2 min read
How to Design Multi-Model AI Routing Without Losing Control
A practical model-routing architecture for balancing quality, latency, cost and reliability without spreading provider logic across the product.
AI & LLM Engineering · 2 min read
Building a Permission-Aware RAG System for Business Data
Retrieval quality is irrelevant if users can retrieve documents they should never see. Here is how identity and authorization belong in every RAG layer.
AI & LLM Engineering · 2 min read
From AI Prototype to Production: Evaluation, Observability and Cost
A production checklist for turning an impressive AI demo into a measurable service with quality gates, traces, budgets and safe releases.