-
Why the Metaverse Failed and What That Means for AI's Optimistic Scenarios
The metaverse had $100B, real VR hardware, pandemic tailwinds — and failed anyway. The lesson for AI's optimistic scenarios is more relevant than anyone admits.
-
The Freelancer's AI Stack — Run Your Whole Business From a MacBook
A complete AI stack for freelancers on a MacBook. Proposal drafting prompts, invoice automation with Shortcuts, local Whisper meeting transcription, contract review, and bookkeeping with LLM-generated pandas — with real time savings and costs.
-
JetBrains AI Assistant: Writing specs as Markdown that Junie can consume
A field-tested take on writing specs as Markdown that Junie can consume with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
-
Why Power Users Are the Most Dangerous Target Audience for a Product
Discover why designing products for power users often leads to failure. Learn how vocal minorities can mislead product strategy and why mainstream.
-
The Grid Problem Nobody in AI Is Talking About Publicly
AI's real constraint isn't chips or talent — it's electrical grid capacity. Grid connection requests take 4-5 years, and the queue has grown 700% since 2020.
-
MCP Explained — Why Your AI Can Finally Use Your Mac Apps
Model Context Protocol (MCP) explained for Mac power users. How to connect Claude Desktop to your filesystem, calendar, and notes with real config examples, plus the security rules you need before installing any MCP server.
-
Windsurf: Pairing Cascade with a linter that refuses bad taste
A field-tested take on pairing Cascade with a linter that refuses bad taste with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
-
How Product Design Changed After Apple Silicon Arrived
Explore how Apple Silicon transformed product design philosophy across the tech industry. Learn how vertical integration reshaped expectations for.
-
Software Always Eats the Hardware Advantage — Here's Why AI Will Be No Different
IBM, Intel, Sun — every hardware dominance in computing fell to software. Nvidia's AI chip position follows the same historical pattern. Here's when and how.
-
The Backup Strategy for People With 500GB of AI Models
Storage and backup strategy for local AI model hoarders: deduplicating Ollama, LM Studio, and Hugging Face caches, Time Machine exclusions for model blobs, external SSD symlinking, and what actually deserves a backup.
-
Cursor: Right amount of automation before it becomes magical thinking
A field-tested take on the right amount of automation before it becomes magical thinking with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
