Use ClawEmail to Let Your AI Agent Book Meetings by Reading Scheduling Emails

The Problem

Scheduling meetings is a back-and-forth nightmare. Someone suggests a time, you check your calendar, reply with alternatives, they counter with different times, and three days later you're still not booked. Or worse, someone says "let's meet Tuesday at 2" and nobody actually creates the calendar invite.

The Solution

Your AI agent reads scheduling emails, checks your Google Calendar for availability, and books the meeting automatically. It creates the calendar event, adds the right people, and sends the invite — no more back-and-forth.

How It Works

1. 1
   Someone emails about a meeting A client, colleague, or lead sends an email suggesting a meeting time or asking for your availability.
2. 2
   Agent reads the email It understands the context: who wants to meet, the proposed time, the topic, and any constraints mentioned.
3. 3
   Agent checks your calendar It looks at your Google Calendar to confirm you're free at the proposed time — or finds the next available slot.
4. 4
   Agent creates the event It books the meeting on your calendar with the correct title, attendees, time, and description.
5. 5
   Invites go out Calendar invites are sent to all attendees. If the time doesn't work, the agent suggests alternatives.

What Makes This Different

• No scheduling tool links to send. The agent handles it conversationally via email.
• It checks your real calendar for conflicts before booking anything.
• Understands natural language: "next Tuesday afternoon" or "sometime this week" both work.
• Creates proper Google Calendar events with all attendees, not just a reminder.

Who This Is For

• Salespeople who book dozens of calls per week
• Executives with packed calendars and lots of meeting requests
• Consultants scheduling sessions with multiple clients
• Anyone who loses time to scheduling back-and-forth

You Stay in Control

Your AI agent drafts and prepares everything — but you choose when to approve and send. Every action can go through your review first. You decide how much autonomy your agent gets: fully automatic, human-in-the-loop, or anywhere in between.