This system automates prompt engineering via an n8n workflow that dynamically selects and refines prompt generation for various LLMs such as OpenAI, Anthropic, and Gemini. It employs dedicated sub-workflows, context buffering, markdown formatting, and quality proofing nodes to differentiate between reasoning and non‐reasoning models. Triggered via chat input with Whisper Flow transcription, it streamlines prompt optimization. Creator Mark Kashef details technical integration and scalability in this advanced setup.

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