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7 Python Automations That Save My Clients $500K+/Year Combined
How-ToProgramming Languages

7 Python Automations That Save My Clients $500K+/Year Combined

via Dev.to PythonWEDGE Method Dev1h ago

I've built AI automations for 12 small businesses. Total annual savings across all clients: over $500K. Here are the 7 highest-impact ones with code. 1. Intelligent Email Router — $72K/year saved Routes incoming emails to the right team member with priority scoring. import anthropic from gmail_api import GmailClient def route_email ( email ): client = anthropic . Anthropic () response = client . messages . create ( model = " claude-sonnet-4-20250514 " , max_tokens = 500 , messages = [{ " role " : " user " , " content " : f """ Classify this email: From: { email [ ' from ' ] } Subject: { email [ ' subject ' ] } Body: { email [ ' body ' ][ : 500 ] } Return JSON: - category: urgent|client|vendor|internal|spam - priority: 1-5 - route_to: sales|support|operations|billing|executive - summary: one sentence - suggested_response: draft if routine """ }] ) classification = parse_json ( response . content [ 0 ]. text ) if classification [ ' category ' ] == ' spam ' : archive_email ( email ) elif

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