When to Use Agentic AI (and When Not To)
Where Claude agents genuinely win vs when a script or human is the right call — an honest decision guide grounded in the Anthropic Economic Index.
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Where Claude agents genuinely win vs when a script or human is the right call — an honest decision guide grounded in the Anthropic Economic Index.
Scoped tools, audit logs, human-in-the-loop gates, and injection defense — the governance controls leaders need before scaling agentic AI at work.
Engineer agentic-AI adoption with habits, shared skills, and team norms — lessons from the Anthropic Economic Index on why great tools still stall.
A task-level ROI model for agentic AI from the Anthropic Economic Index — augmentation vs automation, token vs review cost, and defending the number.
Move an existing workflow onto a Claude agent without breaking it — shadow mode, staged rollout, eval baselines, human gates, and one-switch rollback.
Build an eval loop for Claude agents — score task success, tool use, and safety with LLM judges, then gate every release in CI against a baseline.
Harden Claude agents with sandboxing, least privilege, safe secrets handling, and prompt-injection defense. A practical six-step security checklist.
Cut Claude agent cost and latency with prompt caching, batching, and model routing. Practical levers, code, and a five-step plan to keep runs cheap.
A field guide to debugging Claude agent failures — loops, wrong tool calls, and hallucinated arguments — with traces, guards, and a fix workflow.
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