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I Gave AI Full Access to My Calendar — Here's My Week Now
AI calendar management on Mac with Shortcuts and local LLMs: automated daily briefings, meeting agenda drafts, conflict detection, meeting-load analysis, and the privacy case for running it locally.
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GitHub Copilot: Constraining the agent with .github/copilot-instructions.md for reproducible behaviour
A field-tested take on constraining the agent with .github/copilot-instructions.md for reproducible behaviour with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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How Technology Is Changing the Way We Sleep – and Why It's Not Always for the Better
Explore how sleep technology from trackers to smart beds is reshaping our rest. Discover why more data doesn't always mean better sleep, and what the.
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The Intelligence Illusion: Why What AI Does Is Not Thinking
The word 'intelligence' is doing enormous damage to how we reason about AI. Here's why anthropomorphizing LLMs is not just sloppy — it's dangerous.
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The Mac Terminal Commands That Unlock Hidden AI Power
Power-user macOS terminal commands for local AI: Ollama CLI flags, Modelfiles, OLLAMA_KEEP_ALIVE, pbpaste one-liners, Simon Willison's llm tool, jq parsing, and shell aliases for AI tasks.
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Local LLMs with Ollama: Running evals locally before trusting a new model
A field-tested take on running evals locally before trusting a new model with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Why Most Smart Products Actually Get Dumber After a Year of Use
Discover why your smart home devices, fitness trackers, and connected gadgets seem to lose intelligence over time. From software bloat to planned.
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What We Got Wrong About AI in the First Half of 2026: A Mid-Year Reckoning
A mid-2026 reckoning on AI predictions: what the conventional wisdom got badly wrong, what surprised everyone, and how to read AI coverage more critically.
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What's Coming Next for AI on Mac — and How to Be Ready
Where on-device AI on Apple Silicon is heading: shrinking open models, rising memory bandwidth, Apple's Foundation Models framework, agentic AI, and local multimodality. Practical advice on hardware, skills, and the local AI stack to be ready.
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Agentic coding: Planning outputs as the real product of the first turn
A field-tested take on planning outputs as the real product of the first turn with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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Monthly Retrospective: What Technology Taught Us in June 2026
June 2026 brought AI maturation, disappearing technologies, productivity wisdom, and the eternal debate between open and closed systems. Here's what we learned.
