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.
OpenAI's Goblin Problem: How RL Training in Codex Infected GPT-5.4 with Creature References Across Model Generations
GPT started mentioning goblins and gremlins in responses. The cause: RL 'nerdy personality' training in Codex scored creature references highly and bled…
Anthropic's Harness Detection Bug: 3 Things That Triggered Unexpected Claude Code Charges
A git commit mentioning 'hermes.md' triggered a $200.98 overage on a plan showing 86% unused. Here's exactly what caused it and how Anthropic responded.
What Is the Anthropic Billing Controversy? What It Means for AI Tool Vendors
Anthropic scanned user code for competitor harness keywords and charged extra. Here's what happened, why it matters, and what it means for AI tool builders.
How to Build an Agentic Coding Workflow: The PIV Loop Explained
The PIV loop—Plan, Implement, Validate—is a structured approach to AI-assisted coding that keeps you in the driver's seat without micromanaging every line.
How Anthropic's Harness Detection Actually Works — and Why It Triggered a $200 Overcharge
Anthropic scans git commit messages for keywords like 'hermes.md' to detect third-party harnesses and switch to API billing. Here's the exact mechanism.
How to Make the Case for Better AI Tools at Work: A Data-Driven Approach
If your company's approved AI tool isn't delivering results, here's how to measure the gap, frame the ask, and get a specialist tool approved without politics.
How to Avoid AI Slop When Using Claude Design (The Design System Approach)
Every Claude Design output looks the same because most people skip the design system step. Here's how to build one that makes your output look nothing like AI.
Deploying AI Apps: The Hidden Infrastructure Costs Nobody Warns You About
A $800 Vercel bill from two weeks of AI-assisted shipping. Here's what default platform settings cost you and how to configure deployments correctly.
What Is Context Rot? Why Long AI Coding Sessions Produce Worse Results
Context rot degrades AI coding quality as sessions grow. Learn why it happens, how to measure it, and the session management habits that prevent it.
How to Build an AI Video Editing Workflow with Claude Code and Hyperframes
Claude Code and Hyperframes let you generate motion graphics, animated overlays, and synced captions from plain-language prompts. Here's how it works.
The Hidden Cost of AI-Assisted Development: What Your Coding Agent Isn't Telling You
AI coding agents recommend services, set defaults, and make infrastructure choices you never review. Here's what that costs and how to stay in control.
What Is the Jagged Frontier? Why AI Models Improve Unevenly
The jagged frontier explains why AI models excel at hard tasks while failing simple ones. Understanding it helps you pick the right model for each job.
What Is Context Rot in AI Agents and How Do You Prevent It?
Context rot degrades AI agent output as sessions grow longer. Learn how skills, planning frameworks, and reference files keep Claude Code on track.
Context Rot in AI Coding Agents: What It Is and How to Prevent It
Context rot degrades AI agent output quality as sessions grow longer. Learn how skills, planning frameworks, and file-based memory keep Claude Code on track.
Was Claude Opus 4.6 Nerfed? What Actually Happened
Developers complained for weeks that Opus 4.6 had quietly regressed. Here's what the evidence shows, what Anthropic said, and what Opus 4.7 fixes.
The Hidden Cost of Wiring Up Your Own Infrastructure
Databases, auth, deployment, APIs — every app needs them. Here's an honest look at how much time and money goes into infrastructure before you ship.
Is Vibe Coding Good Enough for Production Apps?
Vibe coding gets apps built fast. But is the output reliable enough for real users? Here's an honest assessment of where it works and where it breaks.
The Real Difference Between a Demo and a Deployed App
Demos impress. Deployed apps serve users. Here's the honest gap between the two — and what you actually need to cross from one to the other.
What Does It Actually Mean for an App to Be Production-Ready?
Production-ready gets thrown around a lot. Here's a concrete definition — covering auth, error handling, data persistence, and what users actually need.
Why Most AI-Generated Apps Fail in Production
AI app builders can generate impressive demos. Here's why they often fail when real users show up — and what separates demos from production apps.
Bolt vs Bubble: Prompt-to-App vs Visual No-Code Building
Bolt generates apps from prompts. Bubble lets you build visually. Here's how they compare on complexity, backend support, and production readiness.
Bubble vs Webflow: Which No-Code Builder Is Right for You?
Bubble and Webflow serve different use cases. Here's how they compare on app complexity, database support, design flexibility, and pricing.
Lovable vs Bubble: Which App Builder Handles Real Backends?
Lovable and Bubble both promise to help non-developers build apps. Here's how they actually compare on databases, auth, and production use cases.
What Is the AI Backlash Tipping Point? Why Public Sentiment Toward AI Has Never Been Worse
55% of Americans now believe AI does more harm than good, up 11% in one year. Learn what's driving the AI backlash and what it means for builders.