Publisher Intelligence AI Agentic Platform
Deploys 5 specialized AI agents implementing the ReAct (Reasoning + Acting) pattern. Agents collaborate through a mission-based workflow covering data collection, analysis & detection, optimization, and synthesis phases.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Agent Briefing - AI agent team assembly for publisher revenue analysis mission
Execution Theater - Live ReAct pattern visualization with tool orchestration
Discoveries Dashboard - AI-identified revenue opportunities and fraud detection findings
Executive Summary - Business impact analysis with revenue uplift and ROI projections
AI Agents
Specialized autonomous agents working in coordination
Mission Orchestrator
Publisher analysis requires coordinating multiple specialized agents across data collection, fraud detection, yield optimization, and brand safety phases. Without orchestration, findings may be fragmented or conflicting.
Core Logic
Coordinates the 4-phase mission workflow: data collection, analysis & detection, optimization, and synthesis. Delegates tasks to specialist agents, monitors progress, resolves conflicts, and compiles comprehensive findings into executive summaries with prioritized recommendations.
Data Intelligence Agent
Understanding publisher performance requires analyzing millions of data points across metrics, time series, and segments. Manual analysis cannot identify patterns at this scale.
Core Logic
Queries metrics warehouse for 90-day performance data (2700+ data points). Runs Isolation Forest anomaly detection on time series. Performs ARIMA + Prophet demand forecasting. Identifies performance variance patterns and correlates anomalies with potential causes.
Fraud Sentinel
Invalid traffic (IVT) costs publishers revenue through clawbacks and damages advertiser trust. Sophisticated fraud evades simple detection rules, requiring ML-based pattern recognition.
Core Logic
Scans traffic patterns for fraud signatures including datacenter IPs, click velocity anomalies, and behavioral fingerprints. Queries IP reputation databases scoring 237+ addresses per scan. Detects GIVT/SIVT with 98.7% accuracy. Generates blocklists and estimated revenue leakage reports.
Yield Optimization Agent
Static floor prices leave money on the table. Publishers need dynamic pricing that maximizes revenue while maintaining fill rate. Inventory allocation across channels (direct, PG, open exchange) requires complex optimization.
Core Logic
Uses Thompson Sampling to optimize floor prices through 340+ A/B test variations. Analyzes bid landscape identifying headroom between clearing price and average bids. Runs Knapsack optimization for inventory allocation across channels. Generates pricing recommendations with expected lift and fill rate impact.
Brand Safety Guardian
Advertisers require brand-safe environments. Publishers must classify content accurately and identify potentially problematic pages to maintain premium advertiser relationships.
Core Logic
Runs BERT-based content classification against IAB taxonomy scanning 1247+ pages. Performs sentiment analysis on content. Computes overall brand safety scores with premium eligibility determination. Flags pages requiring review and provides advertiser-matching recommendations.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
8 technologies
Architecture Diagram
System flow visualization