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.
How AI providers invisibly mark text, what Anthropic has done since August 2026, where the methods fail, and what it means for publishers.
The orchestrator-worker pattern, when parallel agents pay off and when not, the mechanics of shared queues, and the token price for it.