https://github.com/DigitalProductschool/AgenticAICoach
Developing Coaching Agents for AI Entrepreneurship
https://github.com/DigitalProductschool/AgenticAICoach
agentic-ai coaching crewai human-centered langchain llama-index llm responsible-ai
Last synced: 5 months ago
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Developing Coaching Agents for AI Entrepreneurship
- Host: GitHub
- URL: https://github.com/DigitalProductschool/AgenticAICoach
- Owner: DigitalProductschool
- License: mit
- Created: 2024-10-01T15:52:46.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-07-04T12:51:12.000Z (12 months ago)
- Last Synced: 2025-07-04T12:53:55.461Z (12 months ago)
- Topics: agentic-ai, coaching, crewai, human-centered, langchain, llama-index, llm, responsible-ai
- Language: Python
- Homepage:
- Size: 17.8 MB
- Stars: 14
- Watchers: 3
- Forks: 24
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Contributing: docs/CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-a2a-agents - DigitalProductschool/AgenticAICoach - Developing Coaching Agents for AI Entrepreneurship (Agent Categories / <a name="Unclassified"></a>Unclassified)
README
# 🚀 Atlas of Agentic Coaches for AI Entrepreneurs
AI entrepreneurship is a journey, one filled with rapid innovation, powerful decisions, and constant adaptation. As AI entrepreneurs, we **navigate multiple landscapes**, from problem-solution fit to rapid prototyping, user experience of AI features, and ethical AI considerations.
This open-source project builds the **AI Coaching Atlas**, a dynamic map of the entrepreneurial journey where **AI Coaches serve as professional buddies**, guiding founders through critical stages with tailored support.
## 🌍 What is the AI Coaching Atlas?
The **AI Coaching Atlas** represents the **key milestones and challenges** AI entrepreneurs face, with specialized **AI Coaches** assisting at every step. Whether you're building up your entrepreneurship mindset or refining your human-centered discovery & development strategy, our **multi-agent coaching system** helps you **move forward with confidence**.
### 📍 Key Focus Areas:
✅ **Customer Painpoint Decision-Making** – Guiding your self-reflection on deep customer insights and prioritization.
✅ **AI Ethics & Responsible AI** – Coaching you step-by-step to vuild AI that aligns with ethical principles.
✅ **UX & Product Validation Coaching** – Coaching your steps to ensure your AI product meets user needs.
✅ **Agile & Lean Startup Coaching** – Coaching you to adapt and iterate quickly.
✅ **Develop a Mindset for Success** – Strengthening your resilience, intuition, and confidence as you scale.
## 🤝 Open-Source & Community-Driven
This project is a **collaborative effort** to build AI-driven coaching agents that empower entrepreneurs at every stage. We invite **AI engineers, startup mentors, and founders** to contribute by:
🔹 Developing **AI Coaches** to support different challenges.
🔹 Sharing **expertise and insights** to improve the coaching experience.
🔹 Expanding the **AI Coaching Atlas** by mapping out more founder journey milestones.
# Technical Implementation
Our open-source project uses CrewAI for the implementation and orchestration of collaborative multi-agentic AI systems.
It is pioneered by the [AI Makerspace](https://github.com/DigitalProductschool/AI-Makerspace) community of DPS to make AI entrepreneurship coaching scalable and accessible to all teams. DPS community of AI engineers are all invited to contribute by submitting Agents Tasks, and Crews.
## Features
- **Modular Architecture**: Built using CrewAI, allowing easy addition of new agents and tasks.
- **Community-driven**: Encourage community members to contribute their own AI agents.
- **Flexible Configuration**: Easily customize agents and tasks through YAML configuration files.
- **Extensible Tools**: Support for custom tools to enhance agent capabilities.
## Getting Started
To get started with Agentic AI Coach, follow these steps:
1. Clone the repository:
```sh
git clone DigitalProductschool/AgenticAICoach
cd AgenticAICoach
2. Select one of the available applications. For example, responsible_ai.
3. Run the project following the README guidelines.
## Project Structure
Our project follows CrewAI's recommended structure. Example is as follows:
```bash
AgenticAICoach/
├── coach_responsible_ai/
│ ├── db/
│ ├── src/
│ │ └── ai_act_compliance_checker/
│ │ ├── config/
│ │ │ ├── agents.yaml
│ │ │ ├── tasks.yaml
│ │ ├── data/
│ │ ├── tools/
│ │ ├── __init__.py
│ │ ├── crew.py
│ │ ├── main.py
│ ├── .env.example
│ ├── .gitignore
│ ├── poetry.lock
│ ├── pyproject.toml
│ ├── README.md
│ ├── trained_agents_data.pkl
├── community_submissions/
│ ├── agent_template/
│ │ ├── tests/
│ │ │ └── test_agent.py
│ │ ├── agent.py
│ ├── coaching_application_template/
├── docs/
│ ├── CONTRIBUTING.md
│ ├── PULL_REQUEST_TEMPLATE.md
├── .env.example
├── .gitignore
├── LICENSE
└── README.md
```
## Contributing
We welcome contributions! Please see our [Contributing Guidelines](docs/CONTRIBUTING.md) for more information on how to contribute to this project.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- Special thanks to the CrewAI team for creating such an excellent framework!
- Thanks to all community members who contribute their agents to this project.
## 📬 Stay Connected
💡 Have ideas? **Open an issue** or start a discussion!
🚀 Let's build the future of AI coaching together!