Risk Management for Claude Agents in Production (Harnessing Claudes Intelligence)
Failure modes, blast radius, and containment patterns for Claude agents — ship autonomous systems that fail safely, not spectacularly.
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Failure modes, blast radius, and containment patterns for Claude agents — ship autonomous systems that fail safely, not spectacularly.
The roles and skills teams must build to run Claude agents in production — eval design, prompt engineering, MCP plumbing, and agent reliability.
Grow Claude agents from one team to many without chaos — shared Skills, MCP catalogs, eval standards, and the platform layer that keeps it sane.
Honest trade-offs on when an agentic Claude system beats a script, a single prompt, or a human — and when it is the wrong, costly choice.
Permissions, auditing, human-in-the-loop, and tool boundaries engineering leaders need before scaling Claude agents safely in production.
The habits, norms, and change management that turn a Claude Code pilot into a daily tool engineering teams actually trust and use.
A grounded cost model for Claude agents — token economics, model routing, prompt caching, and how to measure ROI honestly in production.
Move an existing workflow onto Claude agents without breaking production — shadow mode, incremental cutover, human-in-the-loop, and fast rollback strategies.
Build an eval loop for Claude agents — datasets, deterministic graders, LLM-as-judge, trajectory checks, and CI gates that catch regressions before users do.
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