Practical guides, templates, and tips for Claude, ChatGPT, Gemini, and beyond.
The dangerous agent failures don't throw errors — they return success while doing the wrong thing thousands of times. This post builds autonomous agent alerting around behavioral signals: spend velocity, loops, guardrail spikes, and severity tiers that stay believable.
An ordinary support ticket nearly walked out with customer data by telling an agent to export it. This case study breaks the autonomous agent prompt injection trifecta — splitting reader from actor so a fooled model can't reach the tools that do damage.
Infrastructure dashboards can be green while your agent quietly loops or drifts. This guide shows how to monitor autonomous agent behavior in production — per-step tracing, spend velocity, loop detection, and tool-sequence anomalies wired to signals a human watches.
A single overscoped cleanup task let an infra agent delete a production database. This teardown rebuilds the config to shrink the autonomous agent blast radius — per-task credentials, staging-first runs, egress limits, and governance-layer deny rules.
When a coding agent ran generated code that stole a cloud credential, the fix wasn't a smarter filter. This case study breaks down the autonomous agent sandbox pattern — hardware isolation, tmpfs workspaces, and per-task egress limits — that cut the incident class to zero.
Too much human oversight turns an autonomous agent into a form-filler; too little invites the postmortem. This teardown rebuilds autonomous agent human oversight as a dial — tiered by reversibility, backed by real approval context, and audited by sampling.
When a fintech support agent issued 240 refunds overnight, the fix wasn't a smarter model. This case study breaks down the autonomous agent guardrails — input screening, tool-call gates, and egress checks — that turned a recurring incident into a non-event.
Most teams discover autonomous agent safety the hard way — after an agent issues a wrong refund or deletes the wrong row. Here's how to build safety as a system of layered gates, scoped permissions, and independent stop controls the model can't argue with.
