The AI engineering playbook that enterprise teams don't share

With a single license purchase, you'll receive: access to the GitHub repository, lifetime access with all future updates, access to our Discord community where you can interact with our engineers, and an accelerator course by Dave Ebbelaar explaining core concepts. You can build unlimited AI projects, both commercial and non-commercial, with no restrictions or extra fees.

The Launchpad provides a pre-configured, modular architecture that combines FastAPI, Celery, and a PostgreSQL Database, along with built-in AI workflow management and prompt handling. This setup lets developers bypass weeks of tedious setup and jump straight into building their core AIs functionality.

The Launchpad was built from real-world experience. We encountered recurring challenges across various client projects in GenAI development. By identifying common patterns, we crafted a logical, flexible, and standardized structure that enables rapid development and deployment of event-driven GenAI apps.

Unlike typical frameworks or agent builders, the GenAI Project Launchpad is a complete, end-to-end ecosystem. It goes beyond just providing a framework; it's a fully integrated environment that handles everything from setup to production. This lets developers focus on innovation, not infrastructure, with the freedom to expand and customize as needed.

Flexibility is at the core of the GenAI Launchpad. While it comes pre-configured with FastAPI, Celery, and PostgreSQL, you can easily integrate other language models, swap databases (like MongoDB or MySQL), or replace Celery with different task queues. Its modular design ensures seamless integration with various frontend frameworks and cloud solutions, adapting to your project's specific needs.

The Launchpad can be used for any project, commercial or otherwise. However, reselling the template as-is is not permitted. For full details on usage rights and restrictions, please refer to the GenAI Launchpad License.

You'll need a good understanding of Python programming fundamentals. While prior experience working with large language models is beneficial, it's not mandatory—our comprehensive documentation and video tutorials will guide you through the AI-specific concepts and implementation details.

Think of it this way: is a rocket overkill for a quick trip to the store? Maybe—but when your ambitions aim for the stars, you need the right tools to get you there. Even small projects benefit from the streamlined setup and scalability.