Prompt Caching for AI Agents: Stop Breaking Your Own Cache
LLM APIs re-read the whole conversation on every call. How the prefix cache works, the bugs that silently switch it off, and the append-only rule that fixes them.

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Articles tagged with #ai-agents
LLM APIs re-read the whole conversation on every call. How the prefix cache works, the bugs that silently switch it off, and the append-only rule that fixes them.

AI agents are a real breakthrough — and expensive, unreliable, and hard to control at the same time. Here's why, and the autonomy framework that makes them actually usable.

A stranger can hide a sentence in a webpage or email and your AI will obey it. It's OWASP's #1 AI risk — and unlike SQL injection, it can't be cleanly fixed. Here's why, and how to contain it.

A language model can only produce text — so how do AI agents check the weather, query databases, and book meetings? The answer is tool calling. Here's the whole mechanism.

A 95%-accurate agent fails 2 of every 3 times over 20 steps. The reason is arithmetic, not intelligence — and no smarter model fixes it.

Your AI tool stopped suggesting and started doing. Here's the workflow that actually works.
