[AI Agent] How to build a calendar concierge agent?
Calendar management quickly becomes messy - overlapping meetings, time zones, constant rescheduling.
In this article, we’ll show how to build a Calendar Concierge AI Agent that understands scheduling requests and manages events automatically inside an admin tool built with Jet Admin.
What Is a Calendar Concierge Agent?
A Calendar Concierge Agent is an AI agent that:
Understands scheduling requests (natural language)
Checks calendar availability
Creates, updates, or cancels events
Handles conflicts and rescheduling
Works directly inside your admin panel
Instead of manually managing calendars, teams can just ask:
Schedule a 30-minute meeting with Alex tomorrow afternoon.
The agent handles the rest.
What you will need
AI agents are especially powerful inside admin panels and internal tools
An admin panel built with Jet Admin
Access to a Google calendar
An AI model to understand scheduling requests
Calendar API access
Basic event data (time, date, participants)
🧠 Connect Your Calendar Data
First, connect the calendar data source inside Jet Admin.
This can be:
Google Calendar
Internal "Events" table
At this stage, JetAdmin has full visibility into:
Existing meetings
Dates and times
Participants and availability
This data becomes the agent’s “context”.
⚙️ Prepare the Calendar Concierge UI
Next, add a simple input for users:Unlike chatbots, AI agents can take actions directly inside the admin panel.
A chat box
Calendar component
🔄 Create the Calendar Concierge AI Agent
Now it’s time to create the AI agent itself inside Jet Admin.
The agent is responsible for understanding scheduling requests, reading existing calendar data, and deciding what action should be taken next. It interprets user input, identifies intent, and connects that intent to real calendar operations.
This behavior is defined through the agent prompt. The prompt clearly describes what the agent is allowed to do, when it should ask for clarification, and how it should react to conflicts or missing information. Instead of following rigid rules, the agent uses context from the calendar to reason about each request.
Make Google Calendar available to the AI agent.
Grant the agent permission to read and update calendar events.
Write the Agent Prompt
Connect created Agent to Agent component on Admin panel
Now the Agent is ready
⏱ Test the Agent
Test the agent with real requests:
Monitor conditions
Run on schedules or triggers
Reduce manual checks
Prevent human errors
AI agent
- Understands goals
- Takes actions
- Works with data & tools
Chatbot
- Responds to questions
- No real actions
- Conversation only
