🧩 Data Collection Pipeline — The First Step to Building an LLM Twin🧩

Building an LLM Twin that mimics your writing style requires first collecting your digital footprint from platforms like Medium, Substack, LinkedIn, and GitHub using an ETL (Extract, Transform, Load) pipeline. A NoSQL document database is recommended over SQL due to the unstructured nature of the data, and content should be organized by type (articles, posts, code) rather than by platform to enable modular processing. A well-designed data collection pipeline is the foundation for cleaner training, better RAG, and easier fine-tuning.