Evals for Claude Agents: Gate Every Release
Measure Claude agent quality and gate releases with an eval loop: datasets, graders, LLM-as-judge, and CI. Concrete patterns and a flowchart.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
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.
Trace a request through Claude's enterprise architecture: gateway, model tier, MCP tools, memory, and the control plane that keeps it secure at scale.
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