I Built an AI-Powered Client Reporting System That Saves 5 Hours/Week

Client reporting was eating 5+ hours of my week. Every Monday: pull data from 4 platforms, compile into branded templates, write insights, send to clients. Repeat for each client. Now it takes 12 minutes. Here's how I built it. The Architecture Google Analytics API ─┐ Social Media APIs ─┤ CRM (HubSpot) API ─┼─→ Data Aggregator ─→ Claude Analysis ─→ PDF Generator ─→ Auto-Email Email Campaign Data ─┘ Step 1: Data Collection (Automated) import requests from google.analytics.data_v1beta import BetaAnalyticsDataClient from datetime import datetime , timedelta def collect_client_data ( client_config ): data = {} # Google Analytics ga_client = BetaAnalyticsDataClient () request = { " property " : f " properties/ { client_config [ ' ga_property ' ] } " , " date_ranges " : [{ " start_date " : " 7daysAgo " , " end_date " : " today " }], " metrics " : [ { " name " : " sessions " }, { " name " : " conversions " }, { " name " : " totalRevenue " } ] } data [ ' analytics ' ] = ga_client . run_report