Conduit. The generative AI revolution brought to an interface.

...an LLM-based text editor, with an intuitive and powerful graphical user interface. Employ an AI assistant to help you write without typing any prompts!

Edit documents as normal:

Run a pre-engineered prompt on a text node, without typing anything:

Combine, edit, rework, and improve the results of your prompts:

View your documents without the clutter of the editor (and avoid accidentally making changes when reviewing):

And that's just the beginning! Check out everything that's to come:

1. We're open-source, which means no propriety formats! (conduit is built on markdown for storing and editing text).
2. A completely customisable and modular system to configure generative AI agents for different media.
3. Run pre-engineered prompts (on a per-document, per-node, or per-selection basis) in rich text files, such as:
   • Summarise
   • Expand
   • Rewrite (in style of...)
   • Create examples
   • Create practice questions/answers
   • Write code
   • Translate
   • Create todos (steps for accomplishing something)
   • Implement received feedback
   • Create/customise your own!
4. Interaction modes:
   • Edit: Add, update, and remove content with LLM-based text completion.
   • Review: Interact and ask questions about content (to strengthen your understanding, or test your knowledge), alongside a spelling and grammar checker.
   • Present: View an uneditable version of the content you have produced, without an interface getting in the way.
5. Intuitive interface that provides smooth user experience:
   • Movable, collapsible generated material.
   • Drag and drop to reorder and organise content.
6. File upload:
   • Run prompts and ask questions about any (part of a) file.
   • Consolidate or summarise multiple files.
7. Automatically generate notes from, or summarise a conversation had with an LLM.
8. Collaboration with other users, such as:
   • Edit the same content.
   • Use someone else's document as a base for your new document.
9. Create automations and 'work forces' to automate content production through the use of LLMs interacting with each other, such as:
   • Create different agents for different tasks, for example:
   • A GPT 'researcher'
   • A Claude 'content writer'
   • An in-context-trained LLaMA as a 'reviewer'
10. Run pre-engineered prompts on multimedia, such as:
    • Summarise or transcribe audio.
    • Describe what happens in a video.
    • Create a diagram of what is written in text.
    • Create a picture.
    • Do Math with LaTeX.
    • Run code and call APIs.
    • Multimedia functionality will grow alongside the research and industry.