Long-form, obsessively researched.
Essays, tutorials, and frameworks at the intersection of AI tools and systems thinking.
When AI Becomes a Crutch: The Mental Health Data No One Wants to Talk About
1.2M users/week discuss suicide with ChatGPT. MIT/OpenAI RCT shows AI use correlates with loneliness. A careful look at the evidence — without alarmism or dismissal.
The Deskilling Ledger: What You Lose Every Time You Let AI Think For You
CHI 2025 found 40% of AI-assisted tasks involved zero critical thinking. A framework for understanding cognitive offloading costs — and when the tradeoff is worth it.
The 19% Problem: Why Your AI-Assisted Code Is Slower Than You Think
METR's RCT found developers 19% slower with AI despite predicting 20% faster. A rigorous look at the 39-point perception gap and what it means for your workflow.
AI Fatigue Is Real — Here’s How to Beat It Before It Beats Your Team
AI fatigue is killing adoption in teams that should be thriving. Here's how to spot it, understand why it actually happens, and fix it before it becomes a
AI-Generated Market Research Summaries: What Works, What Fails, and How to Fact-Check Them
A practical guide to using AI-generated market research summaries safely: what works, what fails, and a repeatable fact-checking workflow.
How to Create an SEO content brief with AI: Template, Prompt, and Example
Most ineffective AI‑generated articles can be traced back to a weak SEO content brief. When the brief fails to define the page’s purpose, the model produce...
AI productivity tools in 2026: What Is Hype and What Actually Improves Workflows
Most demos of AI productivity tools skip the boring part. They parade polished output while ignoring the cleanup, the permission wrangling, the skeptical m...