Comment by kdautaj

Sorry for the delay, had to put my 15 month old to sleep yes, Lovable - I spelled it “Love-able” on purpose-ish since the architecture is different. Lovable builds you an app; this builds a workflow. The LLM plans the steps once (based on file schema), then the actual math runs as SQL in duck-db wasm in your browser. Next month you simply upload the revised file and hit re-run - same SQL (no add'l tokens needed). The AI can still write bad SQL, but it's all visible on the canvas, so it can be checked and once you save it, then next time it is deterministic. For Finance, the local first (sensitive data), repeatability, and transparency matter quite a bit. I connected Fred (econ data, nearly 800k series), and stocks so folks could try it out without needing to upload their own files (in this case it pulls the info as files, you can see it in the canvas section). Quickbooks is also connected, with other ERPs coming in later as I would need to go thru the hoops to get approvals in place (i.e. from Xero, Sage, etc.). I completely get your point though, in terms of it does not feel the same as Lovable. Maybe that is something that I can think through in more detail. Thank you for the comment. Feel free to let me know of any recommendations. I would really appreciate it.