Building an AI agent is the easy part now. Trusting it with your company’s data, credentials, and credit card? That’s where things get interesting. That’s exactly the problem Google Cloud is tackling this month with Advent of Agents Season 3, a free, 31-day tutorial series running through October 2026. Here’s what it is, why it […]
Read More →Based on “5 things every AI engineer should know about agent sandboxes” by Ryan Ismert and Alan Blount of Google Cloud Tech (September 2026). Table of Contents Imagine hiring a brilliant intern who works at lightning speed, never sleeps, and occasionally does something completely unpredictable. Now imagine giving that intern the keys to your entire […]
Read More →The Wiggle Framework is an evaluation method introduced in Meta’s research paper, “Jagged Judges: Epistemic Stability Under Perturbation.” It is designed to test how easily large language model (LLM) judges abandon their original verdicts when challenged. Why this matters Traditional LLM evaluation often measures a judge’s accuracy once against a fixed gold-standard dataset. That tells us how […]
Read More →A 2026 study found 26% of agent skills from public marketplaces contain vulnerabilities — and 5% show patterns of deliberate malice. NVIDIA’s SkillSpector scans skills before installation using static analysis and optional LLM review. This post covers what it catches, how to run it in CI, and the blind spots you still own. Table Of […]
Read More →You’re deep in a refactor, you hand off a task to your AI coding agent, and you walk away to get coffee. When you come back, your project directory has been restructured — but so has everything else. The agent followed a chain of reasonable-looking steps that ended somewhere you never intended. This isn’t a […]
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