Developer Tests 'jev' with OpenRouter and Opper AI in n8n for Faster LLM Workflows

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A developer experimented with a tool called 'jev' integrated via OpenRouter and Opper AI within a self-hosted n8n automation setup. The experiment focused on optimizing two decision-making workflows that previously relied on OpenAI's Luna model. The developer noted that jev offered faster processing and lower costs, and also eliminated the need for a separate structured output parser. Despite the improvements, the developer was unable to reduce the cost to under one cent per workflow run. The experience highlighted jev's potential for streamlining LLM-based automation processes amid rapid developments in the AI space.

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