Migrating a Workflow to Claude Agents Safely (Claude For Enterprise)
Move a workflow onto a Claude agent without big-bang risk: shadow mode, human-in-the-loop, canary rollout, and instant rollback. Staged playbook.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Move a workflow onto a Claude agent without big-bang risk: shadow mode, human-in-the-loop, canary rollout, and instant rollback. Staged playbook.
Measure Claude agent quality and gate releases with an eval loop: datasets, graders, LLM-as-judge, and CI. Concrete patterns and a flowchart.
Secure Claude agents: sandboxing, least-privilege tools, secret handling, and prompt-injection defense. Concrete patterns and a threat-flow diagram.
Make Claude agents cheap and fast: prompt caching, batching, model routing across Opus, Sonnet, Haiku, and context discipline. Tactics and a flowchart.
Fix the top Claude agent failure modes: infinite loops, wrong tool calls, and hallucinated arguments. Concrete tactics plus a debug flowchart.
Practical context and prompt design for Claude agents: what to include, what to leave out, and why lean context is more reliable, cheaper, and faster.
Wire tools and MCP servers into Claude safely: scoped auth, strict schemas, structured error handling, and idempotency that survive production traffic.
Reusable code-level patterns for Claude agents: sectioned prompts, sharp tool definitions, layered context, Skills, and verifiable outputs that scale.
Step-by-step guide to deploying Claude at scale: gateway, model routing, MCP tools, audit, approvals, and a safe rollout you can defend in review.