Evals for Claude Code workflows: gating releases right
Measure dynamic-workflow quality and gate releases with an eval loop — datasets, code and LLM-judge graders, and regression tracking that stops shipping on vibes.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Measure dynamic-workflow quality and gate releases with an eval loop — datasets, code and LLM-judge graders, and regression tracking that stops shipping on vibes.
Harden Claude Code dynamic workflows with sandboxing, least privilege, secrets isolation, and layered prompt-injection defense for untrusted input.
Keep Claude Code dynamic workflows cheap and fast with prompt caching, batching, context scoping, and the right multi-agent tradeoff.
Diagnose the three failure modes of Claude Code dynamic workflows — loops, wrong tool calls, hallucinated arguments — with concrete transcript-based fixes.
What to put in context, what to leave out, and why: practical prompt and context design for reliable Claude Code dynamic workflows and agents.
Wire MCP servers into Claude Code dynamic workflows the right way: auth, schemas, error handling, and idempotency for production-grade agent tool use.
Code-level patterns for Claude Code dynamic workflows: structuring goals, small composable tools, layered context, and subagents for reliable agent runs.
Step-by-step: build a dynamic workflow in Claude Code from setup to tools, skills, hooks, and a first end-to-end run an engineer can follow today.
How dynamic workflows in Claude Code work end to end: the agent loop, context assembly, skills, MCP tools, hooks, and subagents explained for engineers.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.