Cut Claude Cowork Token Costs: Caching, Batching, Cheap Runs
Make Claude Cowork agents cheap and fast with prompt caching, batching, model right-sizing, and lean context discipline that slashes token spend.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Make Claude Cowork agents cheap and fast with prompt caching, batching, model right-sizing, and lean context discipline that slashes token spend.
Make Claude agents cheap and fast with prompt caching, batching, context pruning, and smart model routing across Opus, Sonnet, and Haiku.
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.
Diagnose and fix the three big Claude agent failures — runaway loops, wrong tool calls, and hallucinated arguments — with a production-ready playbook.
Field guide to common Claude Code Skill failures — loops, wrong tool calls, hallucinated args — and how to debug them by reading the transcript.
Diagnose and fix the three failure modes of Claude Cowork agents — runaway loops, wrong tool calls, and hallucinated arguments — with concrete fixes.
Stop Claude data analytics agents from looping, calling the wrong tool, or hallucinating SQL arguments — concrete fixes, logging, and a replayable debug loop.
CNA turnover breaks per-seat AI pricing. Here is when a multi-building nursing home group should host an open model, and what it costs in people and hardware.
What to put in a Claude agent's context, what to leave out, and why — context design, just-in-time skills, and structure for reliable, token-efficient agents.
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