What Are These Autonomous Agents?

Agent 1: An AI agent that analyzes user-generated content in real time, creating discussions and extracting topics.

Agent 2: An AI server that turns these topics into SEO-optimized articles and knowledge graphs for both humans and AI search engines.

How Do They Work Together?

1. Agent 1 scans forums and platforms for relevant posts, analyzes them, and extracts key topics.
2. Agent 2 receives these topics via API, then:
   • Generates in-depth articles and semantic data.
   • Publishes content optimized for both SEO and LLM SEO (Large Language Model Search).
3. Feedback Loop: Insights and engagement data flow back, allowing both agents to refine their outputs.

Technical Details

• Separation of Concerns: Each agent is a modular, autonomous service.
• API-Driven Collaboration: Agents communicate via secure APIs.
• AI at the Core: Both use advanced language models for understanding and content generation.
• Cloud Database: All content and knowledge graphs are stored for retrieval and analytics.
• Scalable & Maintainable: Built with modern best practices.

Why Does This Matter?

1. SEO & AEO, Automated

Your site gets fresh, expert-level content automatically. Content is optimized for both search engines and AI-powered answer engines.

2. LLM SEO: Be the Source AI Cites

Content is structured so LLMs (like ChatGPT, Gemini, Claude) can easily find and cite your information. Become a go-to source for AI-generated answers in your niche. Reddit is a favorite source for LLMs—being present and active there increases your chances of being cited. You can deploy multiple Reddit agents to generate and sustain conversations across different threads and subreddits.

3. Engagement & Authority

The engagement agent drives real interaction on platforms, building trust. The content agent turns insights into evergreen content that ranks and gets referenced.

4. Even Quality Control Can Be Automated

There are several ways to manage content quality: Every piece of content can be approved by someone. Quality control can be outsourced to trusted human reviewers. AI can handle quality control, using models trained on clear guidelines. Or, for minimal effort, you may choose no direct quality control, letting the system optimize for engagement and learning.

5. Always-On, Always-Learning

The agents adapt to trends, user questions, and new topics automatically. The more they run, the smarter and more effective they get.

Social Media Agents

• Tiktok Agent: Automatically creates and publishes videos based on each new blog article, expanding your reach on short-form video platforms.
• Twitter/X Agent: Automatically creates and publishes Tweets, increasing visibility.

Who Is This For?

• Content Creators & Marketers: Automate your content pipeline and grow your niche.
• Brands & Agencies: Build authority and drive engagement.
• Developers & Innovators: Use modular primitives to build an AI-powered growth engine from day one.

Meet the Team

Trained by top AI researchers at Boot-Start, a spinoff of LIRIS-CNRS, and with half a decade spent creating apps used by millions, Ben and Julien have channelled their expertise into building a cutting-edge Dream Analysis AI App. Their goal: give people a clear window into their minds and emotions. By blending advanced deep learning with neuroscience and user-friendly design, they make decoding your inner world both effortless and enlightening.

Making mobile apps and platforms today, they have developed AI to help them and now they want to share this power with other builders.