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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Three checks that separate an agent demo from a production agent

    An MIT-licensed Agentic Product Standard, v2.0, addresses critical gaps in deploying AI agents beyond simple demos. It emphasizes structural security over input/output filters, using Simon Willison's "lethal trifecta" to prevent data exfiltration by ensuring agents don't simultaneously access private data, process untrusted content, and communicate externally. The standard also implements supply chain security for model-generated tool definitions and introduces cost controls, such as token ceilings and model routing, to prevent runaway expenses. AI

    IMPACT Provides crucial structural security and cost management guidelines for deploying production-ready AI agents.