Tag: productivity
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AI That Helps You Think vs. AI That Thinks for You
Explore the fundamental difference between AI that augments human thinking and AI that replaces it. Learn why this distinction shapes skills, autonomy.
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How to Set Up an iPad as Your Only Computer, and When You Shouldn't
How to run an iPad as your only computer in 2026: Stage Manager, the Files app, external displays and keyboards, plus an honest list of the workflows that will send you back to a Mac.
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Why Most AI Products Feel Like Features, Not Tools
Most AI products impress for a week and get abandoned by month two, not because the underlying model is weak but because the product was never built to survive contact with a real workflow. What actually separates a tool from a feature, and it isn't capability.
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Master Spotlight: How to Run Your Whole Mac From the Keyboard
Run your whole Mac from Spotlight: launch apps, do maths, convert currency and units, search with operators, and replace paid utilities, all from Cmd-Space.
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When Software Becomes Invisible, You've Won
A light switch never asks to be appreciated. Most software does. What separates the tools that disappear into daily use from the ones that constantly demand attention, and why building for disappearance is a harder sell than it sounds.
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Switching From Windows to Mac: A Survival Guide for Your First Week
A first-week guide for Windows-to-Mac switchers: the Command-key remaps, Finder versus File Explorer, trackpad gestures, app equivalents, and a day-by-day plan.
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AI Tools That Feel Smart but Make You Slower
Most AI productivity tools cost more time than they save, and the reason they don't feel that way is structural. How to time the real cycle, and the four conditions under which the tools genuinely help.
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The Science of Fatigue-Free Interfaces
Interface fatigue isn't about screen time or blue light. It's extraneous cognitive load, decision count, and broken prediction, and those three explain most of the difference between tools.
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The Hidden Cost of Power User Features Nobody Uses
Feature bloat is usually blamed on product managers chasing power users. The real cost is structural: testing surface, cognitive tax, and engineering time that never reached the core.
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What 100 Days of Daily Local AI Use Taught Me About the Hype
100 days of daily local AI use on Apple Silicon, audited honestly — what stuck, what got abandoned, real productivity numbers vs the 10x hype, and the durable lessons about local LLMs, Whisper, and workflow design.
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The Prompt Library Every Mac Power User Should Steal
A complete prompt library for daily AI use on a Mac — 10 copy-paste prompts for summarizing, email replies, code review, translation, and decision-making, with model-tier notes and a Raycast snippet storage workflow.
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Why I Downgraded From the Biggest AI Model — and Got Better Results
The contrarian case for small local LLMs on Apple Silicon. Why downgrading from a 70B to an 8-14B model improved real productivity through latency, iteration speed, and prompt discipline — plus the escalation rule for when big models still win.
