Wanted to repost @JanJo’s example here, away from the Expanded Chat-GPT topic itself, since it might have wider application than that plugin itself (though I’m certainly interested in exploring the possibilities of using the plugin in this way!)
Will have a look over coffee, @JanJo and get back to you here!
There seems to be something wrong with this translation…
Using the tiddlywiki interface for something like this is definitely interesting! For a project years back I had a wordcount in the editor – something like that could be used to provide a score real-time if a student were actively working on something, and button could trigger a popup with contextual based recommendations, rather than allowing the student to actually edit their content with it.
@JanJo, the usecase you had in mind was for rapidly processing and providing feedback to students on their handwriting quality – that would be an interface that the students would use to get feedback on their own work, or an interface that you would use to rapidly process and sort their work?
langchain is not an good option, things can be written in native JS or use visual tools like n8n / coze / wordware to achieve same feature with less time. I wrote langchain-alpaca when they come out , but I soon discover langchain is badly designed, and is over-abstracted.
BTW, see propersal to implement wordware style feature in TW Add "AI Tools" Plugin by Jermolene · Pull Request #8365 · TiddlyWiki/TiddlyWiki5 · GitHub
I am a bit behind on my understanding for the current state of TiddlyWiki and LLM training, but I would like to get it to the point where when you talk to the chatbot, it has better accuracy for understanding TiddlyWiki syntax.
As far as my personal use case for hooking up my TiddlyWiki data to a LLM, I am mostly interested in using it to synthesize and make connections between my existing notes. Curious how others have prepared their individual tiddlers to use as the knowledge base for their LLM.
Hey @markkerrigan, please check out the Expanded Chat-GPT plugin to see where I’ve gotten with it, and feel free to post here and/or there detailing thoughts on your use cases, as I am formulating next steps 
also feel free to ask specific questions about my own process, as I have been developing new habits since implementing AI into my knowledge base.
I have found there is no need to go through additional training of models, but rather an extensive system prompt going over important Tiddlywiki syntax and explaining its context as an agent within Tiddlywiki has been sufficient to yield consistent results.
Fantastic experiments. Thanks for the inspiration.
Hey @joshuafontany, good to see you online 
if you decide to do some experiments yourself, would love to hear about them! And if you decide to try out the Expanded Chat-GPT plugin I’d love to hear how it works for you and how you feel it might be improved 
One way I’m experimenting with the interface is to use it for identifying and creating backlinks for tiddlers, especially when I have old notes that may pertain to a newer tiddler.
Here you can see that the agent performing a search for instances of “interdependency” across the entire wiki and wrapping those as backlinks. What I’ve excluded is that the agent also correctly identifies and wraps other forms (aliases) of the term (e.g. interdependence).
Ultimately I’d like to use this kind of functionality to also identify opportunities for linking between tiddlers – ideally not just when prompted, but as a background operation.
