You already use ChatGPT, and your work already lives in Drive. ChatGPT can read it, one source at a time, from inside its own walls.
ChatGPT reaches your files now. Built-in connectors let it read Google Drive, SharePoint, Dropbox and more, and custom MCP connectors let it reach almost anything. That solves reach. What it does not solve: connectors tend to read one source at a time and lean on keyword matching more than meaning, and ChatGPT only looks when you prompt it, so a question that spans your CRM and your docs and your database comes back partial. And every bit of that context is ChatGPT's alone. Your Claude and your Copilot cannot reuse it. The same holds if you put Gemini on the same Drive: native to Workspace, but locked to Google's ecosystem and to Drive alone. Whichever single assistant you pick, you are still reading one silo from inside one vendor's walls.
Every source is a separate connector ChatGPT reads on request. Nothing joins them, nothing checks the answer, and none of it carries over to your other tools.
- Connectors tend to read one source at a time and lean on keyword matching, so cross-source questions come back partial.
- ChatGPT reads only when you prompt it. It does not hold a live, grounded memory of your work.
- The context is ChatGPT's alone. Your Claude and Copilot cannot reuse it.
- One connector. Nucleus joins every source into a single grounded, weighted context instead of a connector per source.
- Semantic, not keyword. Nucleus reasons over meaning and returns the answer with its sources.
- The same layer feeds ChatGPT and Claude and Copilot, so the context is not locked to one tool.
Nucleus Context Layer