Artificial Intelligence isn’t just about chatbots or text generation—it’s transforming everyday workflows. In this blog, we’ll walk through how we built “CureMyPlant”, an AI-powered workflow using n8n that can:

1. Identify plant health issues

2. Suggest treatments automatically

3. Schedule care reminders directly in Google Calendar

This is a great example of how AI + automation can work together to solve practical problems.

🚀 Workflow Overview

The CureMyPlant workflow is built in n8n, a powerful open-source automation platform. Here’s what it does step by step:

1. Chat Input Trigger

   • The workflow starts when a chat message is received from a user describing their plant symptoms.

   • Example input: “My tomato plant leaves are turning yellow with brown spots.”

2. Identify Plant Health

   • The message is passed to an AI model (Anthropic Chat) with memory enabled.

   • It analyzes the symptoms and identifies potential plant health issues.

   • Output: “Possible fungal infection or nutrient deficiency.”

3. Suggest Treatment

   • Another AI step suggests actionable treatments based on the identified issue.

   • Output: “Apply a mild fungicide and ensure proper watering. Add nitrogen-rich fertilizer.”

4. Code Node

   • The AI output is passed into a custom code node where the response is formatted for further steps.

5. Batch Processing & Calendar Integration

   • If multiple treatments are suggested, they are split into batches for structured processing.

   • The workflow creates Google Calendar events for treatment reminders (e.g., “Spray fungicide on Friday”).

   • A conditional IF node checks whether reminders should be added, ensuring flexibility.

🧠 Key AI Components

• Anthropic Chat Model – Provides natural language understanding for plant health and treatment suggestions.

• Structured Output Parser – Converts free-text AI responses into actionable structured data.

• Memory – Ensures context is preserved across the workflow, improving accuracy.

🔄 Why n8n for AI Automation?

This project highlights why n8n is perfect for AI-driven workflows:

• Visual orchestration – Drag-and-drop nodes to design complex AI pipelines.

• Integration ready – Connects easily with APIs like Google Calendar.

• Low-code + flexible – You can insert custom logic via Code nodes when needed.

• Scalable – Start with a small proof-of-concept and expand into larger workflows.

🌍 Real-World Applications

While this example focuses on plant health, the same workflow pattern can be applied to:

• Healthcare: AI-driven symptom checkers + appointment scheduling

• Customer Support: Auto-triaging tickets + creating follow-up tasks

• Sales: Lead qualification + meeting scheduling

✅ Conclusion

The CureMyPlant workflow demonstrates how combining AI models with n8n automation creates powerful, real-world solutions. From analyzing plant issues to scheduling care reminders, this workflow is a perfect showcase of how businesses can integrate AI into everyday operations.

👉 Whether you’re in agriculture, healthcare, or enterprise automation, the possibilities of AI + n8n are endless.