AI-Powered Omnichannel Customer Support Platform (Omnichat)
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How to Architect a High-Performance Multi-Channel CRM in Bubble
Learn the database architecture and front-end strategies to build scalable, lightning-fast multi-channel CRMs in Bubble.
https://munizandre.com/blogs/How-to-Architect-a-High-Performance-Multi-Channel-CRM-in-Bubble
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Sneak peek at my current project! 👀
I'm building a complete management interface for LangGraph-based AI agents. The main goal is to unify backend control and agent intelligence into a single visual dashboard.
In the image, a piece of our "Ops Center," where I've structured: 🔹 A real-time terminal to monitor latency, IPs, and tool usage. 🔹 Integrated service controls (managing the FastAPI backend and the PostgreSQL database with one click). 🔹 Dedicated modules for Data Ingestion, tests (Evals), and RAG configurations.
Bridging the gap between a fluid interface and complex AI engineering has been a fantastic challenge.
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In 4 out of my last 5 enterprise-level CRM projects, I noticed a recurring pain point: users and admins were struggling with fragmented communication across multiple platforms. This inspired me to build a Unified Chat Hub that centralizes everything in one high-performance interface.