AI-Powered Campaign Brief Generator
Orchestrates 9 specialized AI agents with MCP (Model Context Protocol) integration, real-time market data feeds, RAG pipelines, and streaming LLM responses. Agents collaborate through delegation and consensus protocols to produce complete campaign briefs with audience analysis, budget allocation, channel strategy, creative recommendations, and compliance verification in hours.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Campaign Brief Generator - Agent Orchestration
Campaign Brief Generator - Observability Dashboard
Campaign Brief Generator - Generated Brief
Campaign Brief Generator - Market Intelligence
AI Agents
Specialized autonomous agents working in coordination
Central Supervisor Agent
Complex campaign planning requires coordination of multiple specialist agents, managing dependencies, handling failures, and ensuring coherent output synthesis.
Core Logic
Acts as central orchestrator using hierarchical delegation patterns. Routes tasks to appropriate specialist agents based on campaign objectives, manages inter-agent communication, resolves conflicts through consensus protocols, handles retry logic with exponential backoff, and synthesizes partial outputs into cohesive campaign brief. Maintains session state and provides progress updates via streaming.
Market Intelligence Agent
Campaign planning requires up-to-date market trends, competitor movements, and sentiment analysis that quickly becomes stale in static documents.
Core Logic
Connects to MCP market data and news aggregator servers for real-time intelligence. Performs competitor tracking with share-of-voice analysis, monitors industry sentiment across social channels, identifies emerging trends and seasonal patterns. Outputs include TAM estimation, market positioning recommendations, and competitive threat assessment with confidence scores.
Customer Data Analyst Agent
Understanding target audiences requires sophisticated customer segmentation, RFM analysis, and lifetime value prediction that manual analysis cannot scale.
Core Logic
Performs RFM (Recency, Frequency, Monetary) analysis on customer data, applies clustering algorithms for audience segmentation, calculates Customer Lifetime Value predictions using ML models. Generates detailed audience personas with behavioral insights, propensity scores, and churn risk indicators. Outputs feed directly into personalization and budget optimization agents.
Campaign Strategist Agent
Developing effective campaign strategies requires learning from historical performance, understanding what worked in similar contexts, and avoiding past mistakes.
Core Logic
Leverages RAG pipeline to search historical campaign database for similar objectives, industries, and contexts. Analyzes success patterns and failure modes from past campaigns. Performs web search for industry benchmarks and best practices. Generates strategic recommendations with supporting evidence, expected outcomes, and risk factors based on comparable historical data.
AI Personalization Engine
Creating personalized content variations for different audience segments is labor-intensive and often results in generic messaging that fails to resonate.
Core Logic
Connects to MCP content generator server for AI-powered copy creation. Generates segment-specific ad copy, email content, and landing page messaging. Applies CTR prediction models to rank creative variants. Produces dynamic content rules for real-time personalization. Outputs include headline variations, body copy, CTAs, and visual direction recommendations with predicted performance scores.
Budget Optimization Agent
Optimal budget allocation across channels, regions, and campaign phases requires complex modeling that accounts for diminishing returns, channel synergies, and constraints.
Core Logic
Applies portfolio optimization algorithms with channel-specific ROI curves. Runs scenario simulations for different budget levels. Incorporates constraints (minimum spend thresholds, maximum channel concentration, geographic requirements). Generates allocation recommendations by channel with ROAS forecasts, confidence intervals, and sensitivity analysis for executive decision-making.
Compliance & Privacy Officer Agent
Marketing campaigns must comply with complex and evolving regulations (GDPR, CCPA, LGPD, PDPA) while maintaining brand safety and accessibility standards.
Core Logic
Connects to MCP policy database for current regulatory requirements. Scans campaign elements for compliance violations, PII exposure, brand safety risks, and accessibility issues. Verifies consent mechanisms and data handling practices. Generates compliance checklist with specific remediation steps, risk severity ratings, and regulatory citations. Flags cookieless strategy requirements for privacy-first execution.
AI Creative Director Agent
Creative strategy requires understanding what visual styles, messaging tones, and formats resonate with specific audiences while maintaining brand consistency.
Core Logic
Analyzes historical creative performance data to identify winning patterns. Generates messaging framework with tone guidelines, key messages, and proof points. Recommends format mix (video, carousel, static) based on platform and audience preferences. Designs A/B testing plans with statistically valid sample sizes. Outputs creative brief with mood boards, copy directions, and asset specifications.
Risk Analysis Agent
Campaign launches carry risks from market conditions, competitive responses, technical failures, and regulatory changes that are often overlooked in planning.
Core Logic
Performs comprehensive risk identification across strategic, operational, technical, and compliance dimensions. Assesses probability and impact of each risk factor. Develops mitigation strategies and contingency plans. Monitors real-time risk indicators through MCP connections. Outputs risk matrix with prioritized concerns, early warning triggers, and recommended safeguards.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization