Mailbot

Python + Gmail API mailbot that extracts support ticket IDs:

import base64
from googleapiclient.discovery import build
from email.message import EmailMessage
def process_incoming(service):
results = service.users().messages().list(userId='me', q='is:unread from:support@').execute()
for msg in results.get('messages', []):
text = get_email_body(service, msg['id'])
if 'ticket #' in text.lower():
ticket_id = extract_ticket_id(text)
create_zendesk_ticket(ticket_id, text)
send_ack_reply(msg['id'], f'Ticket ticket_id received')
 mailbot

Sample rule (pseudocode):

IF from == "support@example.com" AND subject CONTAINS "refund"
THEN create_jira_ticket(priority=high) AND send_acknowledgement()

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The most common fear regarding mailbots is the loss of the "human touch." This is a misunderstanding of the technology. The goal is not replacement; it is augmentation. Python + Gmail API mailbot that extracts support

| Feature | Mailbot | Human Agent | | :--- | :--- | :--- | | Speed | Milliseconds | Minutes to Hours | | Empathy | Low (Simulated) | High (Authentic) | | Complex Problem Solving | Poor | Excellent | | Consistency | Perfect | Variable | | Cost per interaction | $0.001 | $5.00+ | Sample rule (pseudocode): IF from == "support@example

The Hybrid Model: The mailbot handles Level 1 support (FAQs, password resets, order status). Once the conversation requires empathy, nuance, or creative thinking, the mailbot recognizes its limit and executes a "warm handoff" to a human, including all the context gathered so far.