Autonomous Agent Case Study

Review Response Automator

An AI-powered dashboard that reads customer reviews, detects sentiment and key topics, and drafts personalized responses in the owner's authentic voice — with tone control and one-click copy.

Review Response Automator dashboard showing a 5-star review from Marcus T. with sentiment analysis, topic badges, and a drafted response ready to copy

The Challenge

89% of consumers read business responses to online reviews before making a purchase decision — yet most small business owners either don't respond at all, or post generic AI-sounding replies that feel worse than silence. A plumber has six minutes between jobs, not enough time to craft a thoughtful, personalized response to every Google review. But a copy-pasted template screams "we don't actually care."

The Solution

A review management dashboard where the owner selects any review, Claude instantly analyzes it for sentiment and key topics (timeliness, pricing, staff quality), then drafts a response that sounds like the owner actually wrote it. Four tone modes — Warm, Professional, Apologetic, Enthusiastic — let the owner match the energy of the review. One click copies the draft to the clipboard, ready to paste into Google.

Key Capabilities

  • 🔍 Sentiment Analysis Classifies each review as positive, neutral, or negative — and recommends the appropriate response tone automatically.
  • 🏷️ Topic Extraction Detects what the reviewer mentioned — Service Quality, Timeliness, Pricing, Staff, Communication — displayed as pill badges for instant context.
  • 🎛️ Tone Control Four response modes: Warm, Professional, Apologetic, Enthusiastic. The owner picks the voice that fits — Claude adapts the draft accordingly.
  • ✍️ Personalized Draft Every response addresses the reviewer by name, references what they said, and sounds like a real person wrote it — never generic, never defensive.
  • 📋 One-Click Copy Draft is editable before copying. Owner reviews, tweaks if needed, and copies to clipboard in one click — ready to paste directly into Google or Yelp.

Tech Stack

  • Python (Flask)
  • Anthropic Claude API
  • Gunicorn
  • Vanilla JS dashboard
  • Docker / Cloud Run

Patterns Used:

Sentiment Analysis Structured Output Prompt Engineering

Business Value

Businesses that respond to all reviews average 4.2 stars vs. 3.9 stars for those that don't. A single recovered negative review can mean the difference between a customer calling you or your competitor. This tool turns a 10-minute task into a 30-second one.

Try it with real reviews

Load one of the pre-built samples or paste your own review — see how Claude adapts the tone and addresses what the customer actually said.


Launch Live Demo →