Ai-Reliability
- Claude Opus 5.5 and GPT-6 Sol Are Here, and Done Is Still Your Call
Two launches in one day, and both vendors say the same thing: set reasoning depth with effort, not prompt phrases, and keep the definition of done outside the model.
- The Review Bottleneck: When More Output Stops Being Leverage
AI can create drafts faster than one person can responsibly review them. Generation and evaluation scale differently, and the gap between them is where the approval pile comes from.
- Claude Fable 5.1 Is Here, and for Once Nothing in My Routing Table Moved
Fable 5.1 is the same tier at the same list price. Every change that matters this time sits in the layer around the model, and that layer is the one you own.
- Anthropic Cut 80% of a System Prompt — and the Rules That Replaced It
Anthropic removed over 80% of Claude Code's system prompt with no measured loss on coding evals. The six rules that replaced it are an architecture change, not a diet.
- Claude Opus 5 Is Here — and Half the Instructions in Your Setup Just Expired
Opus 5 reaches near-frontier quality at half Fable's price — and Anthropic's own guide says to delete the verification instructions you wrote for older models.
- Claude Fable 5 Is Here — and the Disciplined Move Is to Route Down, Not Up
Anthropic's Fable 5 is the most capable public model yet — a new Mythos-class tier above Opus. The reflex is to route everything to it. Here's why the disciplined move is the opposite, and the two routing skills I rebuilt the day it shipped.
- The Fluency Trap: Why Catching Bad AI Output Is the Problem, Not the Solution
The Fluency Trap is the reason skilled engineers can't see the architectural drift accumulating in their AI-assisted code. The mechanism, the evidence, the fix.