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Prompt caching stores the unchanging part of your Claude prompt once and bills every later read at a tenth of the price, same model, same output. Here is the token math, the break-even point, and how to wire it into an n8n agent loop.
Your n8n AI workflow passed every test, then a 429 killed a whole overnight batch with no alert. This guide wires 3 defenses: Retry On Fail, a fallback model, and a global Error Workflow.
Five recent Claude API updates can reduce wasted tokens and lower your bill in n8n agents and custom pipelines. Here is exactly what changed, why it matters, and what to test before changing production workflows.
Most "AI stack" posts hide the bill. Mine runs under $10/month. Here is every tool, the exact tier, the real cost, and the job each layer does for my one-person content business.
