Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build an eval loop for Claude agents — pick metrics, write cases from real transcripts, use calibrated LLM judges, and gate every release on quality.
Secure Claude Cowork agents with sandboxing, least-privilege connectors, secrets isolation, and prompt-injection defense for enterprise deployment.
Keep Claude Cowork and Agent SDK runs cheap and fast with prompt caching, batching, context pruning, and per-step model routing.
Trace and fix the four Claude Cowork failure modes — loops, wrong tool calls, hallucinated args, silent no-ops — with replayable transcripts and guards.
What to keep in a Claude Cowork agent's context and what to leave out — base context, on-demand skills, tool retrieval, crisp rules, and curated examples.
Connect MCP servers to Claude Cowork safely: scoped auth, tight tool schemas, structured error handling, and idempotency keys that prevent duplicate actions.
Code-level patterns for Claude Cowork: single-responsibility skills, typed tool contracts, layered context, intent-named idempotent tools, and clean handoffs.
Step-by-step Claude Cowork deployment: build a read-only MCP connector, write and test a skill, bundle a role plugin, and pilot safely with one team.
End-to-end look at Claude Cowork's internals — plugins, skills, MCP connectors, and sub-agents — and how to govern each layer in an enterprise rollout.
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