Work with any file, anywhere! For all of you building Claude Code personal operating systems in markdown, daft.File is a lazily evaluated file reference with subtypes designed for unstructured data at scale (think Markdown, Audio, Video, Code, PDFs) Just run

daft.from_files(uri)

and daft will glob your skills into a dataframe. Have Claude extract structured insights with daft.functions.prompt (use structured outputs)! Heres what makes daft.File different: 👉 Lazy by default — point at a million S3 files, nothing downloads until you need it 👉 Subtypes — VideoFile, AudioFile carry domain-specific operations (seek, keyframes, resample) 👉 Open and seek — distributed concurrent reads across byte ranges, like WebDatasets but native to the type system 👉 Extensible — any Python library works via .open() and .to_tempfile() in UDFs PDFs, video, audio, code — all processed as first-class data with distributed execution and cloud-native I/O. Daft is the data engine for AI. daft.File is the type that makes it possible. Blog: https://www.daft.ai/blog/daftfile-work-with-any-file-anywhere Docs: https://docs.daft.ai/en/stable/modalities/files/ Example: https://github.com/Eventual-Inc/daft-examples/blob/main/pipelines/context\_engineering/claude\_insights.py