Migrating a Workflow to Claude Agents Without Breaking It (Common Workflow Patterns Agents)
A safe playbook for moving an existing workflow onto Claude agents: strangler pattern, shadow mode, staged rollout, and tested rollback.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
Latest analysis
A safe playbook for moving an existing workflow onto Claude agents: strangler pattern, shadow mode, staged rollout, and tested rollback.
Build an eval loop for Claude agents: dataset design, LLM-judge scoring, and regression gating that ships changes without breaking quality.
Harden Claude agents: sandboxing, least privilege, secrets handling, and concrete prompt-injection defenses that bound the blast radius.
Make Claude agents cheap and fast: prompt caching, batching, context compaction, and model routing that cut cost without losing quality.
Field guide to debugging Claude agents: why they loop, pick wrong tools, and hallucinate arguments — with concrete traces and fixes that hold.
Learn what to put in a Claude agent's context and what to leave out, and why: working-set thinking, compression, and system prompts that grant bounded agency.
Connect tools and MCP servers to a Claude agent the right way: auth at the boundary, strict schemas, structured errors, and idempotency for safe writes.
Code-level Claude agent patterns: layer prompts, design intent-shaped tools, budget context, enforce output contracts, and externalize know-how into Skills.
Follow a concrete walkthrough to build a working Claude agent: define tools, run the loop, handle results, add a scratchpad, and test against real inputs.
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.
© 2026 CallSphere Inc. All rights reserved.
Made within San Francisco