Dagger Functions are used to distill complex CI operations into discrete, containerized code units that can be shared with the community. AI models can now use Dagger Functions to generate CI pipelines dynamically by combining different functions using Large Language Models (LLM) and GPTScript. A recent demo showed how a Dagger Function can assemble a pipeline based on natural language prompts, exploring a subset of the Dagger API before constructing a pipeline that pulls containers, executes commands, reads files, and produces results. This example demonstrates the potential for extending to more complex AI-powered use cases in the Daggerverse.