Welcome to the SecondOrder AI organization! This repository serves as a central hub for documentation and information about all our projects.

SecondOrder AI is focused on developing advanced AI systems with meta-cognitive capabilities. Our mission is to create AI that can think about its own thinking processes, enabling more sophisticated reasoning, problem-solving, and self-improvement capabilities.

• Repositories
  • secondorder-web
• Getting Started
• Contributing

Repository: secondorderai/secondorder-web
Language: TypeScript
Status: Active Development
Last Updated: January 2, 2026

The main web application for SecondOrder AI, implementing a new layer of LLM applications with meta-thinking capabilities.

• AI Integration: Integrates Vercel AI chat with AI gateway supporting multiple GPT models (gpt-5-mini, gpt-5.2, gpt-5.1-thinking)
• Meta-Thinking Implementation: Dynamic thinking layer on top of LLMs for adaptive chain of thoughts
• Self-Improving Systems: Multi-step, self-improving processes that autonomously audit their own progress
• Advanced Reasoning: Harnesses LLM world knowledge for better reasoning and problem-solving
• Solver Builder: Tools for creating and managing AI solvers with integrated tooling
• Self-Learning Memory: Adaptive learning mechanisms that improve over time
• Model Selection: Automatically selects optimal combinations of models and approaches

• Framework: Next.js 15.5.9
• Runtime: React 19.0.0
• Styling: Tailwind CSS 3.4.17
• Testing: Vitest 4.0.16, Playwright 1.57.0
• Language: TypeScript 5.7.2
• Node Version: Specified in .nvmrc

Meta-Thinking in AI: Meta-thinking refers to an AI system's ability to reflect on its own cognitive processes, decisions, and learning mechanisms. Key aspects include:

1. Self-Monitoring: Real-time observation and evaluation of performance and outputs
2. Self-Evaluation: Assessment of decision quality, correctness, and appropriateness
3. Adaptive Learning: Using insights from self-reflection to improve future performance

Iterative Problem-Solving Loop:

• Generate potential solutions
• Receive and analyze feedback
• Refine solutions using LLM
• Build toward perfect answers incrementally

Self-Auditing Process:

• Autonomously audits its own progress
• Decides when sufficient information is gathered
• Determines solution satisfactory

# Clone the repository
git clone https://github.com/secondorderai/secondorder-web.git

# Install dependencies
npm install

# Run development server
npm run dev

# Build for production
npm run build

# Run tests
npm test

# Run E2E tests
npm run test:e2e

To get started with SecondOrder AI projects:

1. Explore the Repositories: Browse through the repository list above to find projects of interest
2. Read the Documentation: Each repository contains its own detailed README and documentation
3. Check Prerequisites: Most projects require Node.js and npm/yarn
4. Follow Setup Instructions: Each repository has specific setup instructions in its README

We welcome contributions to SecondOrder AI projects! To contribute:

1. Fork the repository you want to contribute to
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes and commit them (git commit -m 'Add amazing feature')
4. Push to your branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Please ensure your code follows the project's coding standards and includes appropriate tests.

For questions, suggestions, or collaboration opportunities, please open an issue in the relevant repository.