Andre Muniz
AI Engineer | Automation | Bubble.io
Ready for work
Andre is ready for their next project!
Most AI agents are unnecessarily expensive and the problem is usually architecture, not the model.
One of the biggest pain points when building AI agents is LLM cost. Many teams use high-end models like Claude Sonnet or GPT-5 for everything, even tasks that don’t need that level...
Most AI projects fail because they’re just API wrappers.
Real AI systems need:
• structured workflows
• reliable data pipelines
• scalable backend architecture
I build production-ready AI systems with agents, RAG, and automation.
If you’re serious about AI, let’s build it right.
AI-Powered Omnichannel Customer Support Platform (Omnichat)
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
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:...
