This automation built with n8n, Ollama and Llama 3.2 creates a smart recipe assistant that accepts cooking requests via Gmail or a web form and responds with a personalized recipe.
Using AI chat models, the system understands user inputs (e.g., ingredients, cuisine type, or dietary preferences), generates detailed cooking instructions and sends them back automatically via email.
It’s ideal for food bloggers, restaurants, or meal planner apps looking to offer interactive recipe generation without manual effort.
1. Multi-Channel Recipe Requests
Accepts user recipe requests through email or web forms, offering flexibility for both customers and staff.
2. AI-Generated Recipes
Uses Ollama and Llama 3.2 to understand user queries and create custom recipes, including ingredients and cooking steps.
3. Automated Responses
Delivers neatly formatted recipes directly to the user’s email inbox - no manual follow-up required.
4. Personalized Cooking Ideas
Tailors recipes based on available ingredients, cuisine types, or dietary preferences (e.g., vegan, gluten-free).
5. Time-Saving for Food Teams
Perfect for restaurants, chefs, or catering services to provide instant, AI-curated meal ideas to clients.

Recipe Request – Gmail / Web Form
The workflow is triggered when a user sends a recipe request via Gmail or submits a web form.
Ollama Recipe Generator (Llama 3.2 – Chef Model)
The request is passed to the Ollama AI node using Llama 3.2, which interprets the query and generates a relevant recipe.
Example: “Send me a vegan pasta recipe with mushrooms and spinach.”
Format Recipe Output
The AI’s response is cleaned and structured into sections like Ingredients, Steps and Tips for easy readability.
Send Recipe via Email
The formatted recipe is automatically emailed back to the user using Gmail integration.
n8n: Orchestrates the full automation flow between inputs, AI modeland outputs.
Ollama: Hosts and runs the Llama 3.2 model for local or on-prem AI processing.
Llama 3.2 (Chef Model): Generates intelligent, human-like recipes based on input context.
Gmail: Triggers workflow from user requests and sends back final recipe emails.
Web Form (Frontend Integration): Allows users to submit recipe requests directly through a website or app.
1. Input Collection:
Collects user queries from Gmail or web form (e.g., “Suggest a dinner recipe using paneer and bell peppers”).
2. AI Processing:
The Ollama node passes the text to Llama 3.2, which interprets the ingredients and cuisine preference.
3. Recipe Generation:
AI generates structured content including:
4. Formatting:
Output is organized into a clean, readable format suitable for email.
5. Delivery:
The email node sends the recipe to the requester’s inbox.
A user sends an email to recipes@restaurant.com saying:
“I have chicken, lemon and garlic at home. Can you suggest a quick dinner recipe?”
The automation:
Reads the message automatically.
Llama 3.2 generates a recipe like “Garlic Lemon Chicken Skillet.”
Formats it with clear ingredients and steps.
Sends it back via email - all within seconds.
Restaurants and culinary startups can use this to power AI chef assistants, recipe newsletters, or meal plan bots.
The AI Recipe Assistant Workflow by OneClick IT Consultancy simplifies culinary creativity through automation.
With Ollama’s local AI model and Llama 3.2’s contextual intelligence, restaurants and chefs can deliver instant, tailored recipes - directly through email or web forms. Visit Offical Workflow
Ready to launch your AI-powered recipe assistant? Contact Oneclick's AI Automation Team to schedule a free consultation.
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