Claude agent design patterns: tools, prompts, and context
Reusable 2026 patterns for reliable Claude agents: narrow tools, layered prompts, just-in-time context, subagent isolation, skills, and boundary validation.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Reusable 2026 patterns for reliable Claude agents: narrow tools, layered prompts, just-in-time context, subagent isolation, skills, and boundary validation.
A runnable 2026 walkthrough for building a Claude agent: agent loop, tool definitions, context, error handling, and graduating to MCP and the Agent SDK.
How Claude Code works internally in 2026: the agent loop, 1M-token context, parallel subagents, MCP, skills, and hooks — and how they fit together end to end.
Where AI-driven financial storytelling is heading — continuous narrative, multi-agent analysis, deeper MCP integration — and how finance teams prepare now.
The metrics and signals that prove Claude is improving how finance explains the numbers — accuracy, escape rate, time shift, edit distance, and trust.
An end-to-end use case of a finance team using Claude to turn a monthly close into board-ready narrative — setup, the errors caught, and what shipped.
Failure modes, blast radius, and containment when finance teams use Claude for narrative — numeric verification, grounding, least privilege, and a sharp human gate.
The hiring and upskilling shifts finance teams need to run Claude for narrative work — prompt design, eval ownership, MCP data plumbing, and who to train.
Scale Claude from one finance team to many without chaos — shared prompt libraries, Agent Skills, golden examples, federated ownership, and consistent guardrails.
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