LLM-Powered Social Commenting Agent
Automated social media commenting with 5× team output.
# Description
Developed an intelligent social media commenting system that uses LLMs to generate contextually relevant responses, helping the team increase engagement by 5× without additional headcount.
# Tech Stack
- Node.js automation scripts for comment monitoring
- OpenAI GPT-4 for context-aware response generation
- Custom prompt engineering for brand voice consistency
- Rate limiting and queue management for API calls
- Dashboard for human review and approval workflow
# Problem
The social media team was manually responding to hundreds of comments daily, which was time-consuming and couldn't scale. Many comments went unanswered, leading to decreased engagement and missed opportunities.
# Solution
Built an AI-powered agent using OpenAI's API that analyzes comment context, understands sentiment, and generates human-like responses. Implemented safeguards for brand voice consistency and automated the posting workflow with human review checkpoints.
# Results
Increased team output 5×, from ~50 responses per day to 250+. Reduced average response time from 4 hours to under 30 minutes. Improved engagement metrics by 40% while maintaining brand voice quality.