TL;DR: An agent skill starts life as a markdown file full of instructions. It works, sometimes. Then you watch it fail in ways that are hard to predict, and you notice a pattern: the steps that break โฆ
2026
Architecting Skills: How Code Makes AI Agents More Reliable Over Time
AI Content Pipeline Deep Dive (2/5): Research
TL;DR: AI agents are confidently wrong about 1 in 10 factual claims. The research phase of a content pipeline isnโt โask the agent whatโs trueโ โ itโs a system of constraints that physically prevent tโฆ
I Built the Agent That Pays โ Here's What I Learned
TL;DR: A couple of weeks ago I wrote about HTTP 402 and why AI agents might finally activate the internetโs oldest unused status code. The post sparked a real discussion, so I built it: a research ageโฆ
Welcome to the Family: I Sat GPT-5.5 and Claude Opus Down on Bedrock
TL;DR: OpenAIโs GPT-5.5, GPT-5.4, and Codex went GA on Amazon Bedrock on June 1, 2026. To get a feel for it, I wired up two Strands agents โ Claude Opus 4.8 and GPT-5.5 โ and let them chat, with Opus โฆ
AI Content Pipeline Deep Dive (1/5): Ingestion
TL;DR: The ingestion phase is not about reading more. It is about building a system that reads for you, files what matters, and surfaces connections between ideas you captured weeks apart โ at near-zeโฆ
Your Agent's Skills Are Bounded Contexts (Design Them Like It)
TL;DR: My AWS colleague Dennis Traub made the case that Domain-Driven Designโs Ubiquitous Language is now critical infrastructure for AI agents. I want to take that one layer up, into architecture. Afโฆ
Context Engineering: The Skill That Replaced Prompt Engineering
TL;DR: Patrick Debois coined DevOps in 2009 by naming what practitioners were already doing. In 2026, heโs doing it again with โContext Engineeringโ and the CDLC (Context Development Lifecycle): Generโฆ
AI-Assisted Talk Prep: The Recording-Analysis-Iterate Loop
TL;DR: I prepared my AWS Summit Hamburg talk through 6 recorded dry runs, each analyzed by a structured AI skill. The skill transcribes via Amazon Transcribe, counts fillers with word-level timestampsโฆ
Intelligence Is Collective, Not Artificial
TL;DR: Michael I. Jordan, the man Science magazine named โthe worldโs most influential computer scientist,โ has never considered himself an AI researcher. His thesis: intelligence is not a property ofโฆ
The Service Catalog Pattern for AI Agents
TL;DR: AI agents face the same discovery problem microservices solved with service registries a decade ago, except agents need semantic search, governance workflows, and dynamic capability updates. AWโฆ