This workflow demonstrates how I design intelligent AI-driven automations that combine real-time chat, AI reasoning, and structured data logging for later analysis.

Trigger → When a chat message is received, the workflow activates.

AI Processing (Gemini) → The message is passed into Google Gemini Chat Model, which generates a context-aware response.

Prompt Engineering → A new structured prompt is generated and refined through several steps:

Data Handling → The enriched and categorized prompt is added into Airtable for tracking and future workflows.

Response Delivery → Results are returned back into the chat in real-time.

Turns raw chat into structured, categorized data.

Automates AI response generation.

Logs every interaction for further reporting or training future models.

Can be extended with CRM, email replies, or analytics.