AI Reality Checks
Is it actually working? Demo-vs-reality posts, hype audits, 'what they're not telling you' takes on model releases and tool launches.
How to Build an AI Video Generation Workflow with HyperFrames and ElevenLabs
Learn how to combine Claude Code, HyperFrames, and ElevenLabs to generate fully automated short-form videos with synced audio and transitions.
How to Prevent AI Brain Rot: Journaling and Second Opinion Strategies
Using AI for everything can atrophy your thinking. Learn how journaling, manual problem-solving, and using AI as a second opinion keeps your mind sharp.
What Is HyperFrames? The HTML-Based Video Renderer for AI Agents
HyperFrames lets AI agents render animated video scenes using plain HTML. Learn how it compares to Remotion and how to use it with Claude Code.
How to Build an AI Video Generation Workflow with Claude Code and HyperFrames
Learn how to generate fully automated YouTube Shorts with audio, animation, and transitions using Claude Code, HyperFrames, and ElevenLabs.
What Is HyperFrames? The HTML-Based Video Rendering Engine for AI Agents
HyperFrames lets AI agents render animated videos using plain HTML. Learn how it works, what it can do, and how to use it in your automation stack.
5 Job Categories That Grew 3x Despite Automation — And Why the AI Era Will Repeat the Pattern
Nail salons, pet care, and tutoring each tripled in employment since 1990 despite automation fears. Here's why economists think AI will follow the same…
Human-Written Code vs AI-Reviewed Code: The Trust Model Is Flipping — What That Means for Your Security Stack
The security trust model is inverting: human-written code is losing its presumption of safety, while AI-reviewed code is gaining it.
Human Authorship vs Machine Scrutiny: How AI Is Inverting the Trust Model for Production Code
Code used to be trusted because a good engineer wrote it. Soon it'll be trusted because it survived AI-scale adversarial review. Here's what that shift demands.
Jeff Bezos's 'What Won't Change' Principle Applied to AI Tool Stacks — And Why It Matters Now
Build for what won't change, not what will. Here's how the Bezos principle translates into a durable AI workflow that survives any model or tool being…
What Is Context Rot in AI Agents and How Do You Fix It?
Context rot happens when AI forgets earlier session data as context grows. Learn the session hooks, semantic search, and GSD framework that prevent it.
AI Bubble or Structural Boom? $805B CapEx Forecast vs. Every Prior Tech Bubble Compared
Morgan Stanley forecasts $805B in hyperscaler CapEx for 2026. Larry Fink says it's not a bubble. Here's how the numbers compare to prior tech cycles.
AI Job Apocalypse Narrative Is Cracking: 7 Data Points That Tell a Different Story
Software eng jobs up 18%, new grad hiring up 5.6%, Stripe incorporations up 130%. Seven data points that complicate the AI unemployment narrative.
Ezra Klein Says the AI Job Apocalypse Probably Won't Happen — Here's the Economic Argument He's Making
Ezra Klein's NYT op-ed cites Alex Immis's Jevons' paradox framework to argue AI creates demand for labor rather than eliminating it. Here's the logic.
Why Most AI Agents Fail in Production: The 3-Layer Framework Every Builder Needs to Know
Access, Meaning, Authority — the three layers that separate demo-worthy agents from production-ready ones. Here's the framework and where most agents break.
Your AI Agent Is Underperforming: Run This 4-Question Harness Audit Before Switching Models
Before you upgrade your model, run this 4-question audit on your orchestration layer. Most performance problems live there, not in the weights.
AI Burnout Isn't From Typing More — It's Judgment Drain: Why Agent Users Hit a Wall at 4 Hours
Managing agent fleets depletes a different cognitive resource than normal work. Judgment drain caps productive hours at 4-5 — not 8-10. Here's the mechanism.
AI Is Already Doing 25% of Tasks in Half of All Jobs: 6 Data Points That Reframe the Displacement Debate
Anthropic's Economic Index found 49% of jobs have had a quarter of their tasks done by Claude. Here's what the full data picture actually shows.
What Is the Anticipation Gap? Why Consumer AI Agents Are Still Reactive
Most AI agents wait to be asked. The anticipation gap explains why truly proactive agents don't exist yet and what it will take to build them.
ARC Evals' Time Horizons Benchmark: 5 Caveats the Researchers Themselves Want You to Know
A third of tasks use estimated human baselines. Error bars are 2x on either side. The researchers behind Time Horizons explain what the numbers actually mean.
How to Audit Your Job for AI Risk in 10 Days: The TCLD Framework Explained
Tag every calendar item and work output over 10 business days into Theater, Commodity, On-the-Line, or Durable. Here's the full method.
Why Consumer AI Agents Still Feel Disappointing: 5 Rungs They Haven't Climbed Yet
The ladder of trust — from read-only to fully autonomous — explains exactly where every consumer agent product is stuck and what it would take to move up.
Ezra Klein's Counterintuitive Argument: Mass AI Unemployment Would Actually Be Easier to Handle Than What's Coming
Klein argues 80M displaced workers would force policy action — but 8M targeted ones get ignored like the China trade shock. Here's why that matters.
GPQA vs. Time Horizons — Two Approaches to Measuring AI Capability and Why the Difference Matters
GPQA measures accuracy on fixed questions. Time Horizons measures task duration. The GPQA creator explains why both approaches have blind spots.
Software Engineering Job Postings Are Up 18% Since May 2025 — The Most AI-Exposed Job Is Accelerating
Citadel Securities data shows software engineering postings up 18% since May 2025. The most AI-exposed occupation is seeing demand accelerate, not collapse.