Fixing the AI quoting problem: I built an external "math brain" webhook to stop bots from hallucinating prices in SMS/Webchat. Would love feedback.
Hey everyone, sharing my progress on a build because I know a lot of agency owners are hitting this exact same wall.
I’ve been building AI quoting bots for home service sub-accounts (HVAC, moving, etc.). GHL's native AI and standard LLMs are great for booking the appointment, but the second the bot needs to calculate complex pricing, it hallucinates. It drops base fees or makes up crazy numbers over SMS.
Routing GHL webhooks to Google Sheets to do the math was just too clunky and broke constantly. So, I built an external visual logic engine to handle the math instead.
Here is how the GHL setup works:
- The AI handles the SMS/chat and collects the variables (sq ft, location, service type).
- A GHL Workflow fires a Custom Webhook out to the engine.
- The engine runs the strict, deterministic math (conditional fees, distance routing, bundles).
- It instantly returns a clean JSON payload back to GHL to update a Custom Field and reply to the lead with an exact, hallucination-free quote.
I recorded a quick 3-minute Loom showing how the backend math builder and API handoff works:
https://www.loom.com/share/edc0ecd308124007b2f84bf777f9283d
I'm still building this out and would love your brutal feedback. Does this architecture fit how you guys are structuring your GHL webhooks and AI workflows? Where do you see it breaking?