Taryn Plumb

Builders are running three AI orchestration platforms at once, driven by distrust in any single vendor's security controls. But a fifth still can't halt a runaway agent's spending.

Analysts say the fix isn't avoiding DeepSeek entirely — it's knowing exactly which tasks to hand it and which to keep away from it.

One engineer's $600-a-day AI bill. A support automation that blew through the budget. Three companies share what they now track instead of raw spend.

One startup said it cut cyberattack containment time from seven hours to twelve minutes. See four other approaches to running AI agents safely at scale.

One Target store's AI-driven inventory call looked like a mistake. Analysts let it run anyway — a small bet that's shaping how much autonomy AI earns next.

Instacart's engineers no longer read most of the code they ship. CTO Anirban Kundu explains why that's made tech debt a non-issue.

Brex's open-source proxy watches how AI agents actually behave, then drafts the security policy itself — leaving an LLM judge to review only the trickiest 3% of requests.

How one 114-year-old insurer built an AI architecture flexible enough to shrug off a major model outage entirely.

Most enterprise data is messy and proprietary, exactly what trips up general-purpose models. Here's the architecture built to handle it, and why it generalizes beyond one industry.

Fewer probabilistic decisions, more fixed rules, human sign-off on every call — Morgan Stanley's playbook for agents in a job with zero room for error.

Farhan Thawar on the proxy, distillation strategy, and circuit breakers keeping Shopify's AI stack stable no matter which models survive.

Shared failures, verified gists, no boss — Stanford researchers say this is what multi-agent coordination should look like.