Anyone else building LLM steps into their automations and watching the token bill climb because you re-prompt five times to get one answer you trust on your own data? I kept hitting this. The model has no idea how my business is structured, so it guesses, and I iterate until it is close enough.
I have been testing SIGNLD to fix the front half of that. It connects your systems (QuickBooks, CRM, operational tools, 800+ connectors) into a Knowledge Graph of your business, then answers a question once, grounded, with every number traced back to the source system. So instead of ten prompts and a pile of tokens, you ask once and get a Decision Brief you can route into the rest of your workflow.
It runs on a private LLM powered by AWS Bedrock, connections are read-only, and it does not train on your data. There is a free forever plan if you want to try it on a couple of sources. Curious whether anyone here has wired something like this into Zapier or make yet, and where it would break for your setup.
