FolderAgent – Batch AI document worker for folders

Lets AI process a whole folder of documents with per-file context and zero cross-contamination

Problem

A developer who has worked on PDF internals for 15 years described how AI handles a single document well, but for a folder users must paste the same prompt 30 times and copy results into a spreadsheet by hand. Existing tools either chat over one file or stuff everything into one huge context, letting file A pollute file B.

Solution

A multi-document AI workspace: drag in a folder, a main agent plans and splits the task, each sub-agent is bound to one document with isolated tools, and results roll up into a table or report. Fits contract review, resume screening, invoice sorting, and competitor research batches.

Users

Knowledge workers in ops, legal, finance, recruiting, and consulting who batch-process documents

MVP

Drag-and-drop folder upload for PDF/Word/Excel; main agent decomposes tasks and assigns sub-agents; each sub-agent bound to one file with isolated context; export results to CSV/Excel; pause and re-run single files

Revenue

Usage-based pricing per page or file; desktop buyout plus cloud batch subscription; enterprise on-prem option

Why now

Long-context models are cheap and stable enough, and multi-agent orchestration frameworks are mature enough for a single developer. Folder-level workflows are a gap big SaaS ignores, and an MVP is a few weeks of work