1) What do you mean by LLM output inconsistencies? Most LLM responses are parsed, and then if that fails, an attempt to auto-fix them is made by re-running the previous output through a rewriting/schema prompt.

2) I want that feature too, and have it planned! I want to have a sort of knowledge / progress dashboard, where users can "chat their data". I also want to add to each sub-task the ability to restart from that point. Essentially, since the project is a running on an entirely serverless architecture, this means serializing everything important, canceling current functions, and then re-hydrating from a certain point and calling the serverless functions again.