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Artificial Intelligence
Least Privilege for Agents: Scope the Capability, Not the Prompt
Artificial Intelligence
Passed Is Not Safe: Why a Green Eval Is Not a Release Gate
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AI Models & Agents
The Honest Cutting Edge: A Keyword Floor in Front of Two Frontier Models
Everyone wants their agent to "know when it's unsure." Most ship a vibe — a model asked to grade its own confidence, which is exactly the judgment you
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AI Models & Agents
An Agent That Decides Its Own Escalations Will Rationalize Skipping Them
Give a model full discretion over when to escalate, and cost pressure quietly teaches it to escalate less. Not maliciously — the same way a rushed human talks
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AI Models & Agents
The Cheapest Part of Your Agent Should Decide When the Most Expensive Part Runs
Most "autonomous" agents have a hidden bug in their safety story: the decision about whether to ask a stronger model for review is made by a stronger model.
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AI Models & Agents
The Deterministic Floor and the Neural Ceiling: When an Autonomous Agent Should Stop and Ask
There is a quiet contradiction inside most "autonomous" agents. We tell them to act on their own judgment, and in the same breath we tell them to ask
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AI Models & Agents
The Honest Cutting Edge: A Keyword Floor in Front of Two Frontier Models
Everyone wants their agent to "know when it's unsure." Most ship a vibe — a model asked to grade its own confidence, which is exactly the judgment you couldn't trust in the first place. Here's the honest version we run instead. Two tiers, no
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AI Models & Agents
An Agent That Decides Its Own Escalations Will Rationalize Skipping Them
Give a model full discretion over when to escalate, and cost pressure quietly teaches it to escalate less. Not maliciously — the same way a rushed human talks themselves out of the extra check. The safety behavior you designed slowly stops running, and nothing
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AI Models & Agents
The Cheapest Part of Your Agent Should Decide When the Most Expensive Part Runs
Most "autonomous" agents have a hidden bug in their safety story: the decision about whether to ask a stronger model for review is made by a stronger model. The necessity check costs as much as the thing it gates. So under any cost or
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AI Models & Agents
The Deterministic Floor and the Neural Ceiling: When an Autonomous Agent Should Stop and Ask
There is a quiet contradiction inside most "autonomous" agents. We tell them to act on their own judgment, and in the same breath we tell them to ask for review when something is risky. But asking for review is itself a judgment call —
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Security & Risk
Derive Your Guards From Live Input, Not Constants
When we fixed a safety check that had been hardcoded to one stale value, the temptation was to swap in a smarter constant. That would have been the same bug with a longer fuse. The real fix was to make the check derive from
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Health & Science
134 Lines That Could Never Run
Next to the dead safety check we fixed this week sat a quieter problem: 134 lines of code that could not execute, and had not for some time. The routine that submits a research job ended with an unconditional return — it handed control
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Health & Science
A Safety Check That Could Never Say No
A guard that cannot fire is not a weak guard. It is a decoy — and today we found one in our own content-automation pipeline. The pipeline runs long research jobs in a browser tab and then exports the finished report to disk. Between
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Security & Risk
The Safety Gate That Couldn’t Fire
The most dangerous line of code is not the one that crashes. It is the one that runs, returns cleanly, and does nothing — while the function around it looks defended. We found one today in our own stack. The wound Our content system
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AI Models & Agents
Dry-Run First: The Approval Gate That Stops an Agent Before It Acts
Most agent damage happens in the last inch, the commit step. A dry-run and approval gate simulates first and asks block, ask, or run before an irreversible action.
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AI Models & Agents
Least Privilege for Agents: Scope the Capability, Not the Prompt
You cannot prompt an agent into safety. Least privilege scopes the capability to the task, so an out-of-scope action is impossible, not merely discouraged.
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AI Models & Agents
Passed Is Not Safe: Why a Green Eval Is Not a Release Gate
A passing agent eval proves capability under a fixed harness. It does not prove the action is safe to execute. Eval drift is why passed and safe diverge.
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AI Models & Agents
Long Context Is Not Agent Memory in 2026
Longer context windows reduce retrieval friction, but agent memory still needs selection, compression, expiry, provenance, and tests.
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