Google Deep Research went API-accessible with web-off mode — what are you building with it?

Google just dropped a significant Deep Research upgrade: collaborative planning, multi-tool orchestration (MCP servers, Code Execution, File Search), multimodal inputs (audio, video, PDFs, CSVs), web-off mode for private data grounding, and Gemini API access in public preview. The combination I find most interesting for builders: web-off mode + MCP server integration + API access. That means you can: * Build a research workflow grounded exclusively in internal company data * Connect custom data sources via MCP * Call it programmatically from your own application Which opens up a category of use cases that previously required custom LLM orchestration: clinical literature review, competitive intelligence pipelines, legal due diligence tools, internal knowledge synthesis. Curious what use cases people here are thinking about. Are you looking at this as: * End-user tooling (just using Deep Research directly) * Developer primitive (building applications on top of the API) * Enterprise workflow integration Also: the Code Execution tool being available within a research run is interesting — has anyone tested what that looks like in practice for data-heavy research tasks?