Generate Food Recipes from Gmail & Forms with Ollama & Llama 3.2

This n8n workflow creates an intelligent food recipe assistant that handles requests from both Gmail emails and web forms. It extracts user preferences like dietary restrictions, cuisine types, available ingredients, and cooking constraints, then uses advanced AI models—Ollama for Gmail inputs and Llama 3.2 for form data—to generate tailored recipes. Outputs include professionally formatted emails with step-by-step instructions, precise measurements, cooking times, and helpful tips, all without manual intervention.

Key benefits include significant time savings for recipe creators, bloggers, or culinary services by automating content generation. It supports diverse use cases such as personal cooking assistants, restaurant menu ideation, nutrition coaching apps, or content marketing for food brands. The dual-input system ensures flexibility, while AI handles complex queries like vegan adaptations or quick 30-minute meals.

Ideal for lifestyle automation in media and entertainment, this workflow scales effortlessly, processes high volumes of requests, and enhances user engagement with customized, high-quality responses. Setup requires configuring Gmail triggers, form endpoints, Ollama/Llama instances, and email replies, making it accessible yet powerful for non-coders.