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How does Catalog ensure certain workflows always follow the same steps when using LLMs?

AI WorkflowsAI Product

Drawn from Lutz Finger's Forbes column, LinkedIn writing, and Cornell teaching. Sources are cited inline so you can read the originals.

A rules engine ensures critical workflows always execute consistently.

We built a workflow engine underneath our LLMs. The LLM generates a workflow on the fly every time, but users can design deterministic journeys inside our system using workflows (like Zapier but internal). If a request matches a workflow definition, it triggers that workflow every time instead of a dynamically generated journey. It’s no code, so users can do it themselves. First, the LLM does a workflow lookup to see if there’s something you always want to do, then for the rest it goes into free flow logic.

Large Language Models: one interface to rule them all? · The Edge


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