We just started rolling out our new Agent Brain architecture. This is not just “better prompts.” We’re building a reusable intelligence layer for AI agents so they are smarter out of the box before a client even uploads their own knowledge base. What changed: - Cleaner, faster prompt structure - New Agent Brain system - Built-in platform training assets - Base Brain for every agent - Delivery Brain for voice/chat communication style - Specialized brains for sales, appointment setting, support, retention, and lead intake - Client knowledge bases still work separately on top - Live transfer and calendar routing groundwork added - Multiple calendar/person routing logic started The big idea: Every agent should have: Base Brain + Specialized Brain + Delivery Brain So a sales agent gets: Base + NEPQ Sales + Delivery An appointment setter gets: Base + Appointment Setting + Delivery A support agent gets: Base + Support + Delivery This means agents can be trained at the platform level, while still letting each agency add their own client-specific knowledge. The goal is simple: Make agents that are smarter, more natural, and more useful out of the box. This is a major step toward world-class AI agents that do more than follow scripts.

Hey guys, in this Loom I walk through how our agent prompting and tool calls work, plus what to set for models, voices, and latency.

Agent Sales Studio that allows you to spin up an agent demo in less than 10 seconds. Send Agent Agreement. Send Invoice. Schedule Onboarding. Convert Agent to Production in a few clicks. Agent Sales Studio Demo: https://screen.studio/share/esXR3pgM

We want to see what you're deploying. Drop a comment with: 🏷 What niche or industry is it for? 📞 Voice, chat, or both? ⚙️ What tools do you have toggled on? Or custom tools... 📊 How's it performing so far? Steal ideas from each other. That's what this community is for.