Exploring patterns for AI-powered tools that feel natural rather than "smart"—reducing cognitive load while preserving user agency.

Practical approaches to logging, tracing, and debugging when LLMs are part of your critical path. How to make black boxes more transparent.

Breaking down the economics of production AI systems—token costs, caching strategies, and when to fine-tune vs. prompt engineer.

Lessons from building resilient document pipelines: error handling, retry logic, and human review integration.

Moving past simple Terraform modules toward composable, testable infrastructure with proper abstractions and safety rails.