Cutting AI Agent Cost: Caching, Batching, Fast Runs
Keep Claude agents cheap and fast with prompt caching, the Message Batches API, model routing, and context discipline — with copy-paste examples.
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Keep Claude agents cheap and fast with prompt caching, the Message Batches API, model routing, and context discipline — with copy-paste examples.
Diagnose and fix the failures that break Claude agents: loops, wrong tool calls, and hallucinated arguments — with a copy-paste validation gate.
What to put in a Claude agent's context and what to leave out — tiered context, compaction, just-in-time retrieval — with a diagram, code, and pitfalls.
Connect MCP servers to a Claude agent the right way — auth at the boundary, strict schemas, structured errors, and idempotency — with code and a diagram.
Reusable code-level patterns for Claude agents — sectioned prompts, tool catalogs as UI, tiered context, and policy-as-data — with examples and a diagram.
A linear, copy-paste walkthrough to build a working Claude agent — the loop, tool schemas, robust dispatch, budgets, and tracing, with code and a diagram.
How a Claude agent is wired internally — model loop, context store, tool router, MCP layer, and control plane — with a diagram, code, and pitfalls.
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