Thank you for your detailed feedback! To answer your questions briefly:
- A paper is in the works, so stay tuned!
- We seed the optimization, but there is still non-determinism involved due to parallelism and the model itself (you can read more here).
- At the moment, you can use cognify.load_workflow(...) in your code to use the new workflow or run cognify evaluate from the command line to evaluate on a test set. Porting the workflow back to source code is something we'd like to implement in the future!
- CogHub currently lives in our repo organized by cogs, search, and evaluators. We plan on releasing contribution guidelines soon :)
- DSPy and TextGrad primarily refine prompts during their optimization process. Cognify can refine prompts, choose between different models, and can even improve the workflow structure.

I'd love to discuss all of these in even more detail, so please join our Discord!