Intelligence Agents
Gather and analyze data to provide actionable insights into market dynamics and consumer sentiment through reputation monitoring and trend analysis.
A Humanitarians AI project
Madison: Agentic Marketing & Branding Framework
An open-source, agent-based AI marketing intelligence framework designed to transform branding, marketing, and advertising. Madison organizes specialized AI agents that collaborate under an orchestration layer to deliver cohesive, data-driven marketing solutions.
About the framework
Collaborative AI agents for data-driven marketing.
Madison (informally known as “Mads and Madison”) is an open-source, agent-based AI marketing intelligence framework that integrates specialized AI agents to deliver comprehensive marketing solutions. The framework maps projects to agent layers, details core technologies, and outlines implementation strategies for data-driven marketing.
This experimental project emphasizes collaborative learning and innovation, allowing marketers to build tailored solutions for branding, customer experience, content creation, and market research through an integrated agent ecosystem.
Architecture
The five agent layers.
Madison organizes specialized AI agents into five collaborative layers, each addressing distinct marketing challenges.
Content Agents
Create, optimize, and distribute marketing materials across channels with consistent brand voice and multi-platform adaptation.
Research Agents
Process data to uncover customer insights through automated survey analysis and synthetic persona development.
Experience Agents
Enhance customer interactions through AI concierge systems and customer journey transformation.
Performance Agents
Measure and optimize marketing outcomes through multi-armed bandit optimization and predictive analytics.
Orchestration Layer
Coordinates all agents through cross-project validation, dynamic resource allocation, and continuous learning.
Under the hood
Core technologies.
The Madison framework leverages several technology categories coordinated by the orchestration layer.
Language Models & NLP
For brand voice personalization, content generation, and conversational AI applications.
Data Analysis Tools
For survey analysis, segmentation, and preference modeling across research applications.
Multi-Armed Bandit Systems
For continuous optimization and dynamic resource allocation in marketing campaigns.
Knowledge Graph Systems
For brand perception tracking and integrated market analysis.
Key projects
What Madison builds.
Active development tracks across branding, optimization, and market research.
Brand Voice Personalization
Ensures consistent brand communication across all touchpoints through AI-powered voice analysis and parameter-efficient fine-tuning.
Multi-Armed Bandit Optimization
Optimizes content and campaigns through continuous experimentation using Thompson sampling and contextual bandits.
AI Concierge Systems
Deploys digital assistants for personalized customer experiences with conversational AI and journey mapping.
MarketMind Research
Conducts comprehensive secondary research on markets, competitors, and trends through systematic intelligence gathering.
Implementation
Built to integrate.
Madison is designed for real-world deployment alongside existing marketing technology stacks.
Agent Orchestration
Coordinates all agents through cross-project validation, dynamic resource allocation, and pattern recognition across the marketing ecosystem.
Open Source Framework
Transparent, collaborative development model that enables customization and integration with existing marketing technology stacks.
Real-Time Intelligence
Continuous monitoring of market dynamics, social sentiment, and competitive landscapes with automated report generation.
Scalable Architecture
Supports cloud, on-premises, or hybrid deployment with API-based integration and human-in-the-loop validation.
Framework integration
Bellman & Popper.
Madison integrates with two complementary frameworks to create a powerful ecosystem for intelligent, validated marketing.
Bellman Framework
Reinforcement learning for marketing optimization.
Brings classical reinforcement learning techniques to marketing applications — multi-armed bandit algorithms, RL-powered customer journeys, value-guided decision making, and adaptive brand voice policies.
- Bandit algorithms for continuous content optimization
- Customer journeys modeled as RL environments
- Value function learning for long-term marketing impact
Popper Framework
Computational skepticism & rigorous validation.
Brings evidence-based validation to marketing intelligence — systematically evaluating claims, detecting biases, falsification testing, and causal validation of marketing effectiveness.
- Evidence-based evaluation of marketing claims
- Bias detection in data, content, and strategies
- Causal inference for marketing effectiveness
Madison–Bellman–Popper synergy
The tri-framework integration addresses the fundamental challenges in modern marketing: moving beyond static A/B testing to continuous intelligent optimization, ensuring decisions are based on validated causal relationships, balancing exploration with exploitation, and quantifying uncertainty to enable better risk management.
Get started
Explore, build, and contribute.
Madison provides a comprehensive framework for AI-driven marketing intelligence, enhanced with Bellman's reinforcement learning capabilities and Popper's validation methodologies.