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AI Architecture


Deterministic AI Architecture: Where AI Systems Need Hard Boundaries
AI models are good at ambiguity, but hard business rules should not be probabilistic. A practical Azure example shows where model reasoning should stop and deterministic controls should take over.
11 min read


Context Engineering Is an Architecture Problem, Not a Prompt Problem
Context engineering is more than better prompts. The surrounding architecture decides what information, tools, state and permissions an AI model sees.
10 min read


LLM Cost Optimisation: The Cheapest Request Is the One You Never Send
LLM cost optimisation starts before the API call. Learn how caching, deterministic logic, retrieval and precomputation can eliminate unnecessary model requests.
8 min read


AI Architecture: Stop Sending Everything to an LLM
LLMs are powerful, but they should not be the default processing layer for every task. A practical framework for deciding what belongs in code, retrieval, algorithms and AI reasoning.
8 min read
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