Automated Interview Scheduling Chatbot using GPT-4o and Google Calendar - n8n Workflow

• HR Professionals and Recruiters needing to automate interview booking.
• Development teams leveraging n8n to build custom AI assistants.
• Companies looking for advanced n8n templates integrating LangChain and external APIs.
• Users seeking a robust n8n workflow example for calendar management and conversational AI.

Managing high volumes of interview scheduling is time-consuming. This specialized n8n workflow solves this problem by deploying an expert AI chatbot capable of natural conversation. Using the latest LangChain features within n8n, this automation handles the entire process: responding to candidate input, checking real-time Google Calendar availability, negotiating a suitable 30-minute slot, and finally booking the event. This specific n8n template utilizes GPT-4o-mini for efficient and context-aware interactions. The power of this n8n automation lies in its use of specialized tools—which are nested sub-workflows—allowing the AI to execute complex logic like checking calendar data against generated availability slots.

This advanced n8n workflow starts with a chat message input via the LangChain Chat Trigger n8n node.

1. Trigger and Context: A user message triggers the workflow. The Window Buffer Memory2 n8n node ensures the conversation history (sessionId) is maintained, giving the AI context.


2. AI Agent Logic: The Interview Scheduler (a LangChain Agent n8n node using GPT-4o-mini) processes the input. Its system prompt instructs it to collect essential details (email, phone, preferred time) and strictly use its available tools.


3. Availability Tools: The agent utilizes two key tools:

1. Conditional Booking: The AI converses until it has all necessary data and has agreed on an available time. When the output contains startdatetime and enddatetime, the If Final Output n8n node routes the flow to the booking path.


2. Data Standardization: The raw text output is passed to the Convert Output to JSON n8n node, which uses a second GPT-4o instance to guarantee the required JSON structure is strictly adhered to.


3. Final Action: The Set Meeting with Google Google Calendar n8n node creates the 30-minute event on the specified calendar, adding the applicant’s email as an attendee. The workflow concludes by providing a confirmation via the Final Response to User Code n8n node.

To deploy this comprehensive n8n template, follow these steps:

1. Import the n8n Workflow: Copy the provided JSON code and import it directly into your n8n instance.


2. Set Up Credentials:

1. Customize Calendar ID: Locate the Set Meeting with Google n8n node and the embedded Run Get Availability sub-workflow. Update the placeholder email [email protected] with the actual email address of the calendar you want the AI to check and book appointments on.


2. Activate and Test: Activate the When chat message received n8n trigger node to generate the public webhook URL. Share this link to start testing your automated interview scheduling chatbot.

This n8n workflow leverages specialized LangChain nodes and core n8n features:

When chat message received (LangChain Chat Trigger): The starting point, acting as the public-facing chat interface for the n8n workflow. It captures user input and maintains session ID.
Interview Scheduler (LangChain Agent n8n node): The core intelligence. It coordinates the conversation using its assigned LLM (OpenAI Chat Model2) and selectively invokes the Run Get Availability and check day names tools.
Run Get Availability (LangChain Tool Workflow n8n node): An embedded workflow that executes a complex calendar check. Key Configuration involves:
Check My Calendar (Google Calendar n8n node): Retrieves all existing events.
Generate 30 Minute Timeslots (Code n8n node): Generates standardized 30-minute slots for the next week during business hours (9 AM-5 PM EST).
Combine My Calendar with All Slots (Merge n8n node): Uses the 'combine' mode to enrich the generated slots with blocked status from the calendar.
Convert Output to JSON (LangChain Agent/Output Parser): Ensures the final structured data is clean. It uses a second OpenAI Chat Model4 n8n node to parse the agent's text output into a reliable JSON object.
Set Meeting with Google (Google Calendar n8n node): The final action. Configured to create a new event (operation: create) using the validated startdatetime and enddatetime extracted by the preceding n8n nodes, ensuring the meeting is scheduled correctly.