Cut Claude Agent Token Costs: Caching, Batching, Speed
Keep Claude agents cheap and fast: prompt caching, the Batch API, model routing across Opus/Sonnet/Haiku, and context discipline that cut token spend.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Keep Claude agents cheap and fast: prompt caching, the Batch API, model routing across Opus/Sonnet/Haiku, and context discipline that cut token spend.
Why Claude agents loop, pick the wrong tool, or hallucinate arguments — and the exact trajectory-debugging steps startups use to fix each failure mode.
Prompt and context design for Claude agents: what to include, what to leave out, compaction, and tuning context with evals to keep agents sharp.
Wire tools and MCP servers into Claude agents the right way: scoped auth, tight schemas, structured error handling, and idempotency for production traffic.
Reusable code-level patterns for Claude agents: layered system prompts, verb-noun tool design, just-in-time context, and the anti-patterns to refuse.
A concrete build sequence for your first production Claude agent: the loop, tools, MCP wiring, guardrails, compaction, and evals — for startup engineers.
How a Claude AI agent fits together end to end: the agent loop, tools, MCP, context, memory, and orchestration — explained for startup engineers.
Explore how agentic AI is reshaping music production with autonomous composition, mixing, mastering, and soundtrack creation tools across the global music tech industry.
Referral and partner leads often bypass standard inbound process and get weak follow-up. Learn how AI chat and voice agents keep these warm leads from going cold.
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