A smart acoustic textile for health monitoring (nature.com)
Data Science Weekly – Issue 602 (datascienceweekly.substack.com)
Show HN: Tiptap AI Agent – Add AI workflows to your text editor in minutes
If you’ve ever tried wiring up AI inside a document editor, you’ve probably dealt with:
- Extracting context from complex document structures
- Handling prompt input + streamed output
- Supporting undo/redo for AI changes
- Designing UI for accepting/rejecting changes
- Multiplayer session state and conflicts
This new Tiptap toolkit gives you a clean way to define AI Agents that can read and edit rich text based on user-defined tasks. You can trigger agents manually, automatically, or in response to structured input.
Works with OpenAI or your own backend + LLM stack. Built on top of the same multiplayer engine behind Tiptap’s collaboration features.
We also include an AI Changes extension so users can review and accept/reject generated edits, like a built-in code review for content.
There’s a live demo here: https://ai-agent.tiptap.dev/
Developer Docs: https://tiptap.dev/docs/content-ai/capabilities/agent/overvi...
Happy to answer questions or just hear what you’re building :-)
We're currently working on new open source features for the editor core, such as Markdown support, a decorations API, and editor content migrations: https://tiptap.dev/tiptap-editor-v3
We also recently released Hocuspocus V3 (https://github.com/ueberdosis/hocuspocus/releases/tag/v3.1.0).
would be nice to customize the diff view colors and button styles
will play with the integration. Very cool stuff!
Ideally it's the latter, but it's non-obvious to me.
Is it possible to allow the agent to work on multiple documents for the same user/group?
If not, how do you phrase that in your ToS and what is your Errors and Omissions policy language like?
In our AI extensions, we provide callbacks like onSuccess that you can hook into, to send analytics events and track the AI's responses.
They're providing tools for integrating Tiptap with AI, including ones for reviewing suggested changes that come from LLMs. I don't really see something that Tiptap should be accepting liability for. As the developer working with Tiptap, I'd argue it's your responsibility to make sure (a) the prompts are giving generally good and useful output, and (b) that you incorporate any necessary UI to put a human in the loop of accepting the AI output. On the latter point, their AI Changes extension is one such example, but there are any number of ways of achieving this.