Building AI agents and the infrastructure around them

Notes on IAM, agent tools, and deployment pipelines, with examples to review and test in your own projects.

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Recent Articles

Prompt Injection: Limit What a Compromised Agent Can Reach

Treat filtering as one layer and design for the case where prompt injection succeeds. The "lethal trifecta" as a design check, architecture patterns that separate reading untrusted content from taking actions, and the controls that limit damage when they fail.

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Token Spend: Attribute It, Cap It, Then Cut It

Model spend is hard to control because it's hard to see: one invoice, many callers, and agent sessions whose cost varies by orders of magnitude. The order that works is to attribute every call, cap spend per session and per caller, and only then optimise.

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