GPT workspaces for research, documents, and multimodal capture
13 Apr 2026, 09:39 · by hunaruhub
HunaruHub’s AI layer is not a chat box bolted onto the app; it supports deep research, streaming conversations, document generation, and multimodal workflows.
The GPT side of HunaruHub is intentionally broad. It supports document generation, research workflows, streaming conversations, and multimodal inputs so teams can move from exploration to output without switching products every hour.
That is reflected in the current app surface: GPT projects, enhanced API endpoints, multimodal services, file generation, and chat routes all sit alongside the rest of the workspace rather than in a separate experimental corner.
Why that matters on the homepage
- Stories about AI work should show how the product helps delivery, not just that an API key exists.
- Multimodal and file-generation features produce strong visual anchors for editorial cards.
- The journal can explain AI decisions in the same product language users see in the app.
That makes AI stories a natural fit for the image-led landing page, especially when paired with concrete module context.