Agents can pay now. Your controls cannot.
AWS gave AI agents a way to spend money on their own. The payment was never the hard part. Approving, capping and auditing a non-human spender is, and most companies haven't built for it.
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Agents
AI that takes actions: how to test it, deploy it and work out what it costs. 8 articles, newest first.
How to test an AI agent before you trust it
Test an AI agent in layers: rule-based tool-call checks, step scoring, a dataset from real work, a calibrated LLM judge, and expert review on the high-stakes cases. Five steps and a rubric.
What one AI agent really costs, beyond the vendor invoice
The price on the vendor quote is a fraction of what a production agent costs. Here's the full bill, layer by layer, the unit that should replace cost-per-token, and where the maths breaks.
Why fewer than 25% of AI agent pilots reach production
Most AI agent pilots stall before production: no owned metric, no workflow redesign, no kill criterion. McKinsey shows 62% experimenting but 23% scaling. Here are five questions to ask first.
Deploy your first support-triage agent, human in the loop
Set up a support-triage agent the safe way: one narrow ticket category, grounded in your help content, an honest meaning of 'resolved,' and a human review gate on every action. Six steps.
What is agentic AI? A no-hype guide
Agentic AI plans and carries out multi-step tasks on its own. It decides what to do, uses tools, and keeps going until the goal is met. A clear guide to what really ships as an agent in 2026.
7 AI agents worth testing in 2026
Seven AI agents to test: Manus, Devin, Operator, GPT Agent Mode, Gemini Workspace, Replit and Claude Computer Use. A shortlist by use case, not test results.
MCP explained: the protocol wiring AI into everything
The Model Context Protocol went from a quiet Anthropic release to industry-standard plumbing in under two years. Here's what it is, why every major lab adopted it, and where the hype got ahead of the facts.