01
AI Beyond Prompting: Context, Tools, Memory, and Checks
A practical field note on building useful AI automation with context, tools, routing, memory, validation, observability, and failure handling.
Notes / Publishing
Field notes from building practical systems.
Technical observations on engineering, applied AI, automation, and measurement infrastructure.
Written when an implementation leaves behind a useful decision, pattern, or constraint.
Archive / 05
Published notes
02
Why Server-Side Tracking Is an Engineering Problem
Server-side tracking requires explicit event contracts, controlled delivery, integration mapping, observability, and ongoing operations.
03
When Not to Abstract Your Code
How to choose local clarity over premature abstraction and extract shared code only after its pattern is understood.
04
Running Local LLMs Without Overcomplicating the Stack
A practical approach to choosing, integrating, and operating local language models without building unnecessary infrastructure.
05
What I Learned Migrating WordPress Media to S3
Field notes on preserving WordPress attachment behavior while moving media into object storage safely.