Multi-Agent Campaign Optimization System
Deploys a coordinated team of six specialized AI agents that autonomously analyze campaign performance, identify optimization opportunities, execute approved changes via platform APIs, and generate comprehensive reports. The system provides human-in-the-loop approval workflows ensuring oversight while dramatically accelerating optimization cycles.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Mission Control - Campaign selection interface for configuring optimization objectives
Real-time agent workflow monitoring showing Strategy Planner analyzing optimization strategies
Mission success summary displaying key achievements and process execution timeline
Technical logs view with detailed agent activity, API calls, and system events
AI Agents
Specialized autonomous agents working in coordination
Mission Orchestrator
Complex optimization campaigns require coordinated execution across multiple specialized tasks, with proper sequencing, dependency management, and error handling. Without central coordination, agent activities become disjointed and inefficient.
Core Logic
Serves as the central coordinator for all campaign optimization workflows. Manages task delegation to specialized agents, monitors workflow execution progress, handles priority queuing, and ensures proper handoffs between workflow phases. Uses Claude 3 Opus for strategic reasoning about task sequencing and resource allocation.
Strategy Planner
Developing effective optimization strategies requires deep analysis of campaign data, market conditions, and business constraints. Manual strategy development is time-consuming and may miss nuanced optimization opportunities.
Core Logic
Analyzes optimization objectives and breaks them into executable sub-tasks. Develops comprehensive action plans with risk assessments, creates execution timelines, and evaluates resource requirements. Considers constraints like budget limits, bid change thresholds, and risk tolerance levels when formulating strategies.
Data Analyst
Campaign performance data spans multiple platforms with different metrics, formats, and reporting intervals. Identifying meaningful patterns, anomalies, and optimization opportunities requires sophisticated analysis across disparate data sources.
Core Logic
Queries campaign metrics across all connected platforms, runs statistical anomaly detection algorithms, identifies performance trends, and benchmarks against industry standards. Uses predictive forecasting models to anticipate future performance and detects creative fatigue patterns before they impact results.
Action Executor
Implementing optimization changes across multiple advertising platforms requires navigating different APIs, handling rate limits, managing authentication, and ensuring changes are applied correctly without disrupting live campaigns.
Core Logic
Executes approved optimization actions through platform APIs including Google Ads API and Meta Marketing API. Creates rollback snapshots before making changes, implements proper rate limiting, handles API errors gracefully, and logs all actions for audit trails. Supports bid adjustments, budget reallocations, creative pauses, and audience modifications.
Quality Validator
After optimization changes are executed, teams need assurance that changes were applied correctly, haven't caused adverse effects, and comply with platform policies and business rules.
Core Logic
Verifies that platform changes were applied correctly by querying post-execution state. Monitors early performance metrics after optimization to detect any negative impacts. Validates compliance with platform advertising policies and internal business rules. Triggers automatic rollback if quality thresholds are breached.
Insights Reporter
Stakeholders need clear, actionable summaries of optimization activities and their business impact. Raw data and technical logs don't effectively communicate value to executives and clients.
Core Logic
Aggregates results from all agents into comprehensive reports with executive summaries. Calculates return on investment, generates visualizations of performance improvements, and provides actionable recommendations for future optimization cycles. Creates stakeholder-appropriate views for executive, analyst, and technical audiences.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization