Ten thousand agents can now be pointed at one problem, and the only thing that makes their output checkable is a formal certificate rather than the fleet that produced it.

Ten thousand agents can now be pointed at one problem, and the only thing that makes their output checkable is a formal certificate rather than the fleet that produced it.

The industry stopped arguing about whether agents work and started publishing what they cost, in dollars per researcher per day, in context tokens per skill, and in the gap between cheap findings and expensive fixes.

What an agent loads has become the thing worth managing, and the week's launches are almost all knobs on that inventory rather than new capability.

Last week's shipping was almost entirely about approval gates, machinery deciding what an agent may read and what it may finalize, and GitHub handed an agent the approval bit in the middle of it.

OpenAI spent Sunday publishing its own evidence that the layer watching AI work is falling behind the layer doing it, and two independent pieces from the same week describe the identical failure at human scale.

Agent capability work has moved from the model to the box the model runs in, and this week showed both halves of that shift at once, labs industrializing the manufacture of training environments while the sandboxes already in production kept failing to hold.

Three separate shippers landed systems this week whose load-bearing part is a checker that sits outside the model and that the model cannot talk its way past.

Four launches in four days all moved the same piece, the control point sitting between an agent and everything it can touch, and each one moved it somewhere different.

A skill that never fires is usually a description problem rather than a useless skill, so the right response to a cheap unused skill is to…

Ripwire earns trust not with its 52x headline but by re-running its own head-to-head, publishing a corrected margin of 1.46x instead of the…

Verification instructions in a system prompt only change outcomes when they move the agent off a specific default behavior, and describing…

Whether an agent repo is safe to run is decided by its credential surface, its reversibility path, its maintenance recency and its…

A SKILL.md installs a vendor's judgment about when to use its product directly into an agent's startup context, and sv-number/skills is the…

Edit fidelity is a quality axis separate from correctness, and a preservation instruction in the prompt moves it further than a larger…

The variable that decides whether an agent gets the approval bit is the reversibility of the action, not the competence of the agent, and…

AutoHarness bounds a skill library by adherence in live use rather than a benchmark score, which is the right signal, and its scope limit…