Clouds and Feuds from Age Of Wonders

It looks like there is one here:

https://kevroletin.github.io/feed.xml

Well you know if only they were wealthy enough to become a vegan in the first place they could buy the good looking carcasses the mean Vegans are making them eat! /s

I am a fan of structurizer and the C4 model in general.

I would use a single .dsl file and add the relationships and entities as you discover them. You can apply tags , and then write filtered views to only show specific tags for sub systems or workflows that a user will follow.

you can pair this with markdown/text notes that reference the png files of the views that structurizer will output.

I am interested in reading more about what Tezka means. Please do share.

I think i can relate to your goals and am personally focused on similar work in an effort to make my own life a little more bearable. my efforts are more focused on executive function and how to integrate this into my life seamlessly vs llm/conversational ai. i have been playing around with conversational ai, but i currently lack the psychological understanding which is needed to do this right. i look forward to hearing more from you.

my immediate (ok, i have been working on this all day) thoughts

• as other have mentioned, i like quirky. I would want them to show some flaws. idk what exactly, but i think it would be off-putting to be overly clinical or "perfect"
• i would be more comfortable interacting with Tezka in a more private environment such as a matrix room vs a more public comm like this.
• i like the "relational repair" aspect. my own shortcomings here is something that has been made much clearer to me recently. I imagine them asking me if i have reached out to my relations, and give me some personalized advice on how best to approach the person. If the interaction with the person did not go well, then i imagine them helping me through it in a positive way, preparing me to try again next time.

I am using Mistral 7b Instruct for text summary and some light "assistant" type chatting for the last several months. I have been pleased at how accurate it is for my needs, especially given it's size.

I recall alot of trial and error to find models that were compatible with the version of llama-cpp-python that oobabooga uses (at any given time). GGUF should have made the model format (and therefore model selection) more simple, but i imagine there are still nuances that make it more difficult than it should be to find a working model for a noob.

Best of luck, let us know how it goes

The Earth Species Project publishes papers and code if anyone is interested in learning more about this work.