AI Finder

AI Finder is an AI deal finder tool. A macOS agent that searches your files by what they contain rather than what they are named, using natural-language requests, plus a chat mode for reading and summarizing PDFs. Sandboxed Workspace access keeps the search scope limited and local.

AI Finder is a macOS file management agent built around a single idea: people remember what a document says, not what it is called. Rather than digging through nested folders or guessing at filenames, users type or speak a request and the app translates it into a search across the files and folders they have chosen to expose. The pitch is aimed at anyone whose disk has become a cluttered stack of PDFs, drafts, reports and downloads. The search layer goes well beyond name matching. Queries can target files created or modified in a particular window of time, files whose contents mention given keywords, duplicate copies, files carrying certain tags, or documents whose text loosely resembles a sentence the user supplies. The site notes that additional search rules exist beyond the ones it lists. A separate reading mode turns PDFs into something conversational, so a paper, report or book can be questioned directly and summarized down to its main points. Researchers and students are the stated audiences for that side of the product. Under the hood, the app calls on OpenAI's GPT to interpret what the user asked for, then scans the specified locations for matching items. Privacy is handled through sandboxing: AI Finder cannot see the whole disk. A user creates a Workspace containing the folders it may reach, and searches stay inside that boundary. The site says file analysis happens locally and that no content is uploaded to the cloud, with the app following macOS privacy and permission settings. Against alternatives, AI Finder competes with Spotlight, Alfred-style launchers and cloud drives that offer semantic search. Its distinction is content-aware, intent-based querying wrapped in a sandbox, which trades breadth of access for tighter privacy. The tradeoff is macOS only, and everything hinges on how carefully the Workspace is scoped.