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Title: Playing with jev in n8n (OpenRouter + Opper AI) for faster decision workflows
Body:Today I played with jev and routed it via OpenRouter + Opper AI in my homelab n8n.I optimized two workflows where I used OpenAI 5.6 Luna in a decision process — that’s exactly the kind of case where jev shines: fast decisions.It’s cheaper and much faster, and structured output doesn’t need a separate “structured output parser”. I still didn’t manage to get down to 1¢ per run though.I already see many more ways to make LLM-based processes cleaner with jev. Also watching the new alternatives in the AI world — it’s wild how fast everything moves.