AI Campaign Assembly Engine
Orchestrates 8 specialized AI agents that collaborate to assemble complete campaign strategies. Agents analyze audience data, develop creative approaches, optimize bidding algorithms, generate AI-powered content, ensure privacy compliance, and forecast performance using Monte Carlo simulations.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Agent Orchestration view displaying 8-agent network (Campaign Orchestrator, Audience Intelligence, Creative Strategist, Bid Optimizer, Performance Forecaster, Market Intelligence, GenAI Content Creator, Privacy & Compliance) with real-time status, token usage metrics, tool execution history, and LLM reasoning trace with agent messages.
Agent Execution Details showing Tool Execution Timeline with API calls to data providers (LiveRamp, Oracle, Experian, TransUnion, Polk), segment similarity calculations using cosine similarity algorithm, Reasoning Chain with observation and conclusion steps, and Audience Intelligence agent summary with confidence scores.
Generated Campaign Output displaying AI-assembled audience segments (Affluent EV Intenders, Sustainable Home Owners, Luxury Auto Shoppers, Tech Early Adopters, Green Lifestyle) with match rates, CTR, VCR, ROAS projections, budget allocation percentages, and quality metrics including viewability and brand safety scores.
Observability Dashboard providing comprehensive cost analysis with 31,761 total tokens, $0.1751 total cost, 7.78s latency, detailed agent breakdown showing per-agent costs and token usage, and cost analysis metrics including cost per 1K tokens and cost per tool call.
AI Agents
Specialized autonomous agents working in coordination
Campaign Orchestrator
Campaign assembly requires coordinating multiple specialized analyses with proper sequencing, error handling, and result synthesis. Uncoordinated agent execution produces inconsistent or incomplete campaign strategies.
Core Logic
Coordinates all campaign agents through intelligent delegation, manages workflow execution, synthesizes multi-agent outputs into unified campaign strategies, validates outputs against brief requirements, and handles agent handoffs. Provides execution status tracking and final strategy synthesis with confidence scoring.
Market Intelligence Agent
Campaign planning without market context leads to suboptimal positioning. Advertisers need real-time visibility into competitor activity, auction dynamics, and industry trends affecting their campaigns.
Core Logic
Scans competitor advertising activity across channels, analyzes real-time auction clearing prices and inventory availability, fetches industry trends with sentiment analysis, and provides strategic recommendations on bid adjustments and timing. Integrates market context into campaign strategy.
Privacy & Compliance Agent
Navigating GDPR, CCPA, and emerging state privacy regulations while planning targeting strategies is complex. Non-compliance creates legal risk and erodes consumer trust.
Core Logic
Audits campaign targeting strategies against privacy regulations including GDPR, CCPA, and state laws. Assesses cookieless readiness with hybrid targeting recommendations combining contextual AI, first-party data, and clean room approaches. Generates compliance documentation and identifies remediation needs.
Audience Intelligence Agent
Identifying optimal audience segments from thousands of options while ensuring data quality, viewability standards, and brand safety is overwhelming for human planners.
Core Logic
Queries multiple data providers to identify matching audience segments, calculates similarity scores using cosine similarity algorithms, applies quality filters for viewability and brand safety, and recommends optimal segment mix with budget allocation. Provides segment-level performance predictions and quality metrics.
GenAI Content Creator
Creating multiple ad copy variations targeting different audience segments is time-consuming. Manual copywriting cannot scale to test enough variations for optimization.
Core Logic
Generates AI-powered ad headlines, body copy, CTAs, and video scripts optimized for each audience segment. Creates multiple variations with different tones and emphasis. Validates all content for brand safety and compliance. Predicts engagement scores for each variation to guide testing strategy.
Creative Strategist Agent
Selecting the right creative approach from countless options requires analysis of historical performance data that humans cannot process at scale.
Core Logic
Analyzes historical campaign performance across creative approaches, identifies top-performing patterns for the vertical and audience. Develops creative strategy with variant recommendations, allocates budget across creative tests, and defines A/B testing plans with statistical significance thresholds.
Bid Optimizer Agent
Setting optimal bids across segments, channels, and time periods requires processing competitive dynamics that change constantly. Static bidding leaves money on the table.
Core Logic
Runs Vickrey auction simulations to estimate clearing prices and win rates. Applies gradient descent optimization to find optimal bid distributions across segments. Calculates frequency caps to minimize waste. Outputs bidding strategy with confidence intervals and efficiency projections.
Performance Forecaster Agent
Predicting campaign outcomes with confidence intervals helps set realistic expectations and identify risks before launch. Point estimates without ranges mislead stakeholders.
Core Logic
Runs Monte Carlo simulations (10,000+ iterations) to forecast reach, impressions, CTR, VCR, and ROAS with probability distributions. Calculates risk factors including market volatility and competitive pressure. Provides P10/P50/P90 projections with confidence levels and methodology transparency.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
8 technologies
Architecture Diagram
System flow visualization