Resources
Answer-first guides for preparing private files for AI
Use these resources to understand how to clean, structure, package, and export private files into AI-ready knowledge packages. Start with the basics, then explore workflows, outputs, and practical next steps.
Starter guides
Start here
These starter guides are designed as clear entry points for users who need practical answers fast. Replace each placeholder with a published guide as content becomes available.
How to prepare PDFs for AI
Placeholder: explain how to extract text, handle scans, review OCR quality, preserve source references, and package PDFs for search and RAG.
How to clean messy project folders
Placeholder: cover duplicates, naming issues, mixed file types, missing metadata, and how to organize a private project workspace before export.
How to create AI-ready knowledge packages
Define metadata, chunks, source references, logs, and export formats such as Markdown, JSONL, and CSV.
How to choose the right export
Compare exports for search, RAG, automation, local tools, vector databases, and research workflows.
Explore next
Connect guides to product workflows
Need the product view instead of the content view? Visit Solutions to see focused workflow paths, or go to How It Works for the step-by-step process from import to export. Add more resource categories here over time, such as file types, outputs, vertical workflows, and implementation checklists.
Next step
See what your files need
Start with a guided pilot to see what can be extracted, cleaned, structured, chunked, and exported from a real sample of private files.