Posted inBlog
A Three-Question Cost Check Before Moving Work to Opus 5.5
When AI model pricing changes, the instinct is to move more work to the cheaper option. Opus 5.5's token prices dropped 20 percent, and the natural response is to route…
Posted inBlog
When the Token Budget Is the Bottleneck: A Tiered Model Strategy for AI Coding
For most of 2025, the bottleneck in AI-assisted development was knowing how to prompt well, or choosing the right tool. By mid-2026, a different problem has surfaced: practitioners on top-tier…
Posted inNews
GPT-6 Soul and Luna: OpenAI’s Workhorse Models and the Cost Compression Signal
The model landscape is compressing fast. Two years ago, running frontier-quality AI on a budget meant accepting real quality trade-offs. Today, OpenAI's two newest releases suggest that gap is narrowing…
Posted inBlog
The LLM Calls That Don’t Need to Generate Anything
For a while, the working assumption in AI-augmented software was simple: send language to a generative model, get an answer back. It worked. It scaled. And gradually, it became the…
Posted inBlog
Cost Per Accepted Result To Comparing AI Models
In the early stages of the agentic-AI era, is easy to assume that the most important aspect about a model is: how good is it? The answer still shapes decisions:…
Posted inBlog
You’re Loading 66,000 Tokens of Plugins Before You Even Type. That’s Why Your Limit Disappears.
The first time an audit runs on a Claude Code setup, the expectation is to find waste in long conversations. What comes as a surprise is the number that shows…