2026

AI Content Pipeline Deep Dive (4/5): Editing

TL;DR: Every post goes through five automated editing passes before publishing: challenging questions that stress-test the argument, a FAQ that tests whether the post explains what it claims, an AI sm…

AIContentAIAgentsProductivityWriting
From a Generic Voice to My Own: Self-Hosting a TTS Model on Amazon SageMaker

TL;DR: Last time, the demo video for my agentic-payments post was narrated by Amazon Polly: a clean, managed, recognizably synthetic voice. This time the same demo is narrated in my own voice, cloned …

PublishingSageMakerTTSVoiceCloningAIAgentsAgenticCommerce
Claude Fable 5 on Bedrock: A Hands-On Comparison, and the Data-Retention Switch You Set First

TL;DR: Claude Fable 5 went GA on Amazon Bedrock yesterday (June 9, 2026), so within a day I ran it head-to-head against Opus 4.8 and Sonnet 4.6 (all three invoked from Frankfurt through EU Geo inferen…

AmazonBedrockAnthropicClaudeFable5DataResidencyAIAgents
AI Content Pipeline Deep Dive (3/5): Collaborative Writing

TL;DR: The agent never writes the first draft. It studies your voice from previous posts, assists during drafting, and systematically reviews what you wrote. The result reads like you, not like ChatGP…

AIContentAIAgentsProductivityWriting
Why Your Cheapest Model Should Write the Harness

TL;DR: A May 2026 paper separates two capabilities that self-improving agents usually conflate: writing harness updates and benefiting from them. Writing is flat across model tiers: a 9B open model pr…

AgenticAIHarnessEngineeringSelfImprovingAgentsAmazonBedrockAIAgents
Architecting Skills: How Code Makes AI Agents More Reliable Over Time

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 …

AgenticAISkillsReliabilitySoftwareEngineeringKiro
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 isn’t ā€œask the agent what’s trueā€, it’s a system of constraints that physically prevent th…

AIContentAIAgentsProductivityWriting
I Built the Agent That Pays — 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 internet’s oldest unused status code. The post sparked a real discussion, so I built it: a research age…

AIAgentsAgenticCommerceHTTP402AmazonBedrockAgentCorex402PaymentsPublishing
Welcome to the Family: I Sat GPT-5.5 and Claude Opus Down on Bedrock

TL;DR: OpenAI’s 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, Claude Opus 4.8 and GPT-5.5, and let them chat, with Opus pl…

AmazonBedrockOpenAIGPT55StrandsAgentsAIAgentsGenAI
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, at near-zer…

AIContentAIAgentsProductivityWriting