Automating AI Workflows
No-/low-code automation with Make, Zapier and n8n: building blocks, use cases for agencies and SMBs, pricing models and the costliest pitfalls.
Arbeitsweisen, Workflows und Routinen rund um den produktiven Einsatz von KI im Alltag.
No-/low-code automation with Make, Zapier and n8n: building blocks, use cases for agencies and SMBs, pricing models and the costliest pitfalls.
Just generating isn’t enough. The reliable flow: briefing, draft, fact-check, voice, SEO, human final edit — and where the human stays mandatory.
Why tokens equal cost, why output is pricier than input, and the most effective levers: prompt caching, batch, lean context, model choice, output limit.
The orchestrator-worker pattern, when parallel agents pay off and when not, the mechanics of shared queues, and the token price for it.