Testing & evals for Claude analytics agents: gate releases
Build an eval loop for a Claude self-service analytics agent: golden datasets, LLM-judge grading, and CI gates that block releases when quality regresses.
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
Build an eval loop for a Claude self-service analytics agent: golden datasets, LLM-judge grading, and CI gates that block releases when quality regresses.
Harden Claude Cowork agents with sandboxing, least-privilege connectors, runtime secrets, and prompt-injection defense so they can't be turned against you.
Harden Claude Code Skills and agents with sandboxing, least privilege, secret handling, and layered prompt-injection defense from untrusted tool data.
Secure production Claude agents with sandboxing, least-privilege tools, safe secrets handling, and layered prompt-injection defenses.
Sandbox Claude analytics agents, scope least-privilege DB roles, keep secrets out of context, and defend against prompt injection in self-service data analytics.
Make Claude Cowork agents cheap and fast with prompt caching, batching, model right-sizing, and lean context discipline that slashes token spend.
Keep Claude Code agent runs cheap and fast with prompt caching, batched tool calls, leaner tool results, and matching the right model to each step.
Make Claude agents cheap and fast with prompt caching, batching, context pruning, and smart model routing across Opus, Sonnet, and Haiku.
Slash Claude analytics agent costs with prompt caching, the Batches API, and effort tuning. Keep self-service data agent runs cheap and fast without losing quality.
© 2026 CallSphere Inc. All rights reserved.
Made within San Francisco