Pipelex is creating an open standard for AI workflows, designed to simplify the integration of AI models into applications. Instead of focusing on complex API calls, users can write straightforward business logic. To get started, users can install Pipelex via pip and initialize their environment with a single command. For those using AI models, a free API key can be obtained by joining the Pipelex Discord community, or users can integrate their own API keys from providers like OpenAI or Google. The core functionality allows users to build a complete AI workflow with just one command. For example, the command to analyze a CV against a job offer and generate interview questions creates a production-ready file (.plx) that includes all necessary definitions and processing steps. The workflow encompasses document extraction, match analysis, and question generation. Each component, like extracting text from PDFs or performing match analysis, is broken down into specific tasks that run in parallel to optimize efficiency. The final output is a set of five targeted interview questions tailored to assess a candidate's fit for a position. Users can run the pipeline through the command line or with Python code, making it accessible for various technical skill levels. The inputs are defined in a JSON format, specifying the URLs of the CV and job offer PDFs. This structure allows for flexibility in how users can implement and adapt the system to their needs. Overall, Pipelex streamlines AI integration, making it easier for businesses to leverage AI in recruitment and other processes.