The Delegation Ladder: The Four Agentic Loops, And What Each One Lets You Stop Doing

An analysis of the four agentic loops in AI development, explaining what each allows you to stop doing and how they shape AI workflows.

A Frontier AI Model Just Went Dark for 18 Days. The Kill-Switch Is Real Now.

An advanced AI model was globally disabled for 18 days following US government orders, setting a new precedent for AI control and release protocols.

A Skill Is A Folder, Not A Prompt: What Anthropic Learned Running Hundreds Of Them

Anthropic reveals that effective AI Skills are structured as folders containing instructions, scripts, and assets, transforming how organizations build and reuse AI capabilities.

The High-End PC and Workstation Tax

Memory prices surge in 2026, making DIY builds more expensive and shifting the value dynamics for high-end PCs and workstations.

Kill-Switch-Proof: How To Build So Washington Can’t Take Your AI Stack Down

A detailed guide on creating AI stacks resilient to government shutdowns, focusing on dependency mapping, abstraction layers, and open-weight models.

AmenGate: The Moment Before the Scroll

AmenGate introduces a prayer-lock for iPhone that interrupts the reflex to scroll, fostering mindful prayer and trust through system-level design.

Fable 5 Is Back. GPT-5.6 Is Next. And Anthropic Reportedly Already Has Something Stronger.

Anthropic restores Fable 5 after government blackout; OpenAI previews GPT-5.6 for select partners; rumors of an even more capable model circulate.

The Memory Squeeze: Why Your RAM Bill Doubled

DRAM prices have doubled, with consumer RAM now significantly more expensive. The shift is driven by AI demand, not supply shortages, impacting PC builders and consumers.

Apple Is Reaching for Chinese Memory. Europe Doesn’t Even Have That Option.

Apple is lobbying for permission to buy chips from China’s CXMT, highlighting Europe’s lack of memory manufacturing capacity amid global shortages.

Outcome-First Decisions: The Friction Is the Feature

A new decision-making approach prioritizes testing and evidence, helping businesses avoid costly mistakes by focusing on tangible outcomes.