T4C Agent Factory: A Multi-Agent Workflow for Transforming Conspiracy Theories into Satirical Product Concepts

T4C Agent Factory (full name "Theories to Concepts Agent Factory") is an AI-driven multi-agent workflow project whose core function is to transform conspiracy theories into satirical product concept designs. This project demonstrates an interesting application of creative AI agents in the fields of social commentary and satirical art, while also reflecting the potential of multi-agent collaboration in creative tasks.

Original Author/Maintainer: Patty Ouwehand Source Platform: GitHub Original Link: https://github.com/pattyouwehand/t4c-agent-factory Release Date: June 12, 2026

Project Overview: T4C Agent Factory is a creativity-oriented AI project that takes conspiracy theories as input and generates satirical product concepts through multi-agent collaboration, showcasing the application potential of AI in the creative industry and the possibility of using technology for social commentary.

Multi-Agent Division of Labor

1. Conspiracy Theory Analysis Agent: Analyzes the core claims, key elements, narrative structure, and cultural influence of conspiracy theories;
2. Satire Strategy Agent: Identifies logical loopholes, designs humorous entry points, and balances entertainment with criticality;
3. Product Concept Design Agent: Generates T-shirt patterns, slogans, peripheral product ideas, and marketing copy;
4. Quality Review Agent: Checks for harmful content, ensures clear satirical intent, and evaluates creative quality and market potential.

Workflow

Input processing→Creative generation (multi-agent parallel)→Evaluation and optimization→Output (product concept descriptions, design elements, copy, etc.).

1. Creative AI Application: LLMs are used for concept association, copywriting, visual description prompt generation, and cultural references;
2. Multi-Agent Coordination: Manages responsibility boundaries, information transmission, parallel processing, and feedback loops through a workflow orchestration framework;
3. Safety Guardrails: Input filtering, output review, clear satirical intent to avoid spreading harmful information.

• Creative Industry: Assists designers in inspiration, analyzes market trends, and enables personalized customization;
• Social Commentary: Deconstructs the absurd logic of conspiracy theories, triggers reflection on information dissemination, and facilitates lighthearted discussions of serious topics;
• Technical Demonstration: Shows the decomposition and collaboration of multi-agent workflows in creative tasks and the systematic creative process.

1. Creative AI Assistance: AI can provide creative starting points, quickly generate solutions, automate repetitive work, and expand creative space (not replacing humans);
2. Multi-Agent Value: Specialized division of labor, improved parallel efficiency, multi-perspective quality evaluation, and easy scalability and customization;
3. Responsible AI Practice: Clear value orientation (satire rather than dissemination), multi-layered safety reviews, and ethical considerations.

This project provides an interesting reference for AI applications in the creative field, demonstrating the combination of serious technology and lighthearted applications.