The AI Teardown· Library
The AI Teardown — Library
Every day, AI builders are having the same argument in a dozen different threads. What actually works. What's marketing. What's about to change how you ship.
The AI Teardown is where I pull the signal out of that noise and hand it to you straight. One real story a day, sourced from where builders actually talk shop, broken down without the hype.
A benchmark that changes how you think about agent safety.
A pattern showing up in every serious builder's stack before it has a name.
A tool that's quietly better than the one everyone's talking about.
This is for you if you're building with the stuff. Running coding agents. Shipping AI-powered products. Or just tired of reading ten threads to find the one comment that mattered.
Read one. See if it saves you the scroll.
August 4, 2026
Why Your AI Reviewer Has to Be Stronger Than the Model It's Checking
A new benchmark shows Claude reviewing Codex lifts pass rate from 71.6% to 89.7% — but Codex reviewing Claude drags it down. What that means for how you should structure agent review loops.
August 3, 2026
A Finished Task Is Not a Safety Check
A safety benchmark of 6,560 risk-injected agent runs found that most completed-and-unsafe tasks still finished the job anyway, and why task completion stopped being proof of a safe outcome.