Datadog and T-Mobile leaders reveal the reality of deploying AI agents in production. Enterprises report cautious rollouts, using observability, simulation testing, and governance to catch hallucinations and failure modes before production. Treat this as a practical sketch for agent observability, testing, and operational playbooks — Principle 14.

LLMs Corrupt Your Documents When You Delegate. The DELEGATE-52 study shows long delegated workflows make LLMs silently corrupt documents, with frontier models degrading ~25% of content. Outcome engineers must build verifiable artifacts, lineage tracking, and auditing to detect silent corruption — Principle 16.

Gemini API File Search is now multimodal: build efficient, verifiable RAG. Google adds multimodal retrieval, custom metadata, and page-level citations to the Gemini File Search API for more efficient, verifiable retrieval. Use this to reduce hallucinations in retrieval pipelines and to build legible evidence chains for outcomes — Principle 06.

LLM Agents Find Kernel, Docker, OpenSSL Vulnerabilities. Agent chains autonomously discover critical vulnerabilities across kernel, Docker, and OpenSSL codebases. That demonstrates agent creativity and attack surfaces; infrastructure teams must sandbox, monitor agent behavior, and harden supply chains — Principles 14 and 15.

Alibaba Integrates Qwen AI With Taobao For Agentic Shopping. Alibaba embeds Qwen into Taobao/Tmall to enable agent-driven shopping with payments and post-sale workflows. Platforms that permit agents to transact need per-agent identity, audit trails, and orchestration controls to manage money flows and accountability — Principle 09.