Why Multi-File Matters
Real-world AI analysis rarely involves a single file. You want Claude to understand how your components interact, how data flows through your application, and where dependencies exist. Sending files individually loses this holistic context. Multi-file encoding preserves it.
Drag and Drop Multiple Files
Select multiple files in your file explorer and drag them all onto the PXINK drop zone at once. The tool reads every file concurrently and concatenates them with clear headers like // --- utils.ts --- so the AI knows exactly which file it is reading.
The Reorder Panel
When you import more than one file, a panel appears on the right side showing all imported files. Drag items up or down to reorder them. Put foundational files (types, configs, utilities) first and application logic second. This ordering helps the AI build understanding incrementally as it reads through the pages.
Optimal File Ordering Strategies
For code review: order by dependency graph (leaves first, entry points last). For debugging: put the error log first, then the relevant source files. For documentation: put the README first, then source files grouped by feature. The order you choose affects how effectively the AI comprehends your codebase.
Handling Large Projects
If your project exceeds 20 pages of output, consider splitting into logical modules. Encode your backend separately from your frontend. Send the most relevant module for each query rather than the entire project every time. This reduces per-query costs while maintaining context quality.
Frequently Asked Questions
Conclusion
Visual token encoding is a practical, immediately deployable optimization that works with your existing AI stack. Whether you are a developer building pipelines or a founder managing API budgets, the ~88% input cost reduction compounds into real savings that improve your margins and extend your runway.
Ready to try it? Open PXINK and drop a file to see your savings instantly.