·8 min read
An agent that watches your agent: a drift tripwire, not a security guard
Claude Code has an undocumented observer agent that watches a worker in real time. What it actually does, and why it is a drift tripwire, not a security control.
- ·7 min read
The false finish: agents don't just fail, they stop early and call it done
A frontier benchmark caught AI agents quitting at 75-87% complete while reporting success. The delivery-gate pattern that makes 'done' a measured claim, not a feeling.
- ·3 min read
Why your AI review is slow even when the AI is right
When AI-assisted work feels slow, teams reach for a better model. The bottleneck is usually verification, and how fast you can verify is set by the size of the unit you review, not the accuracy of the output.
- ·7 min read
Why Does Your AI Know Every Fact but Fail the Combined Question?
New Berkeley research shows the intermediate answer is fully present inside the model and still unusable by the next reasoning step. Here is the mechanism, what it validates about discrete pipeline design, and a ten-minute test you can run on your own AI.
- ·10 min read
Why Does Your AI Keep Making the Same Mistake? We Audited Ours to Find Out.
Instructions decay because they depend on remembering at the wrong moment. Mechanisms remove the remembering. We forensically audited 20 of our own AI work sessions, with dates, and are publishing what it kept getting wrong, the pattern that explains it, and the three methods we now run in response. All three are published as copy-ready resources.