AI Chatbots & Automation8 minLesson 59 of 60
Adding an LLM for Smart, Dynamic Replies
Fixed flows are predictable and reliable, but rigid. An LLM can generate a natural reply to anything, but it is less predictable. The skilled approach is hybrid: use a fixed flow for the structured, high-stakes parts and hand off to an LLM for the open-ended conversation.
Flow vs LLM: when to use each
| Use a fixed flow for | Use an LLM for |
|---|---|
| Booking, checkout, lead capture | Open questions and FAQs |
| Anything requiring exact data | Natural, varied phrasing |
| Legal or money steps | Handling the unexpected |
Ground the LLM, do not let it freelance
An ungrounded LLM will confidently invent answers about your business. Give it your real information to answer from, constrain its scope, and have it hand off to a flow or a human when it is out of its depth. Free generation without guardrails is a liability.
Think of the LLM as one capable block inside a controlled system, not as the whole bot. The flow owns the critical paths and the data; the LLM handles the messy, human parts of the conversation that a decision tree could never anticipate.
From Scratch to Chat: Building My First AI ChatbotFirst-person build log connecting Voiceflow design to Make.com automation.medium.com