#ai-agents
Every post tagged "ai-agents".
304 posts · showing 191–200
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Half the Job Is a Real Answer: Designing for Partial Success
Thirty-one of forty invoices reconciled. Reporting success hides nine; reporting failure throws away thirty-one. The middle is where most runs land, and most designs can't express it.
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Agents Get Worse While You're Not Touching Them
Nobody edits anything and six months later it handles a whole class of request worse. Five things decay on their own — and none of them announce themselves by breaking.
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Which Agent Alerts Should Wake Someone Up?
An agent can be green on every service metric while doing the wrong work at ten times the cost. One rule sorts the alerts — and the highest-value one is the one almost nobody has configured.
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From Prompt Edit to Signal in Under a Minute
A six-minute iteration buys you ten experiments a day; a thirty-second one buys a hundred. Four fixes, about an afternoon of work, and the seam that everything else depends on.
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The Inbox Agent That Filed Everything Correctly and Lost Two Questions
Every filing decision was defensible, and two unanswered questions still vanished into the archive. The bug wasn't the prompt — it was that the agent judged messages while acting on conversations.
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The Tool That Changed Under You: Supply-Chain Risk in Agent Tooling
No deploy, no prompt edit, and an ops agent started restarting services mid-investigation. A maintainer had improved a tool's documentation — and documentation, in an agent, is instruction.
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How Many Eval Cases Do You Actually Need?
18/20 versus 19/20 is not an improvement — it's noise wearing a number. What your suite size can and cannot detect, and the paired design that makes a hundred cases behave like seven hundred.
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One Query Is Rarely Enough: Iterative Retrieval for Agents
The search wasn't broken — it answered the question as typed, which isn't the question that was asked. Making retrieval a tool the agent calls repeatedly needs one signal most retrievers refuse to give.
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What I'd Tell a Team Starting Their First Agent Project
Seven things, none of them about model capability, and most of them cost a quarter before they're visible. The first one eliminates more candidate projects than anything else — and should be applied at the idea stage.
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Should Agents Talk in Prose or in Schemas?
Prose carries the nuance your schema didn't anticipate — and dissolves it across three hops, turning "probably rounding" into an established fact. Structured with a bounded escape hatch, and a rule for when to promote.