Amazon Connect AI Call Center Builder
There’s a workshop floating around that generates Amazon Connect contact flows and CloudFormation from a conversational UI powered by Claude Opus.
There’s a workshop floating around that generates Amazon Connect contact flows and CloudFormation from a conversational UI powered by Claude Opus.
A client called me out — users were overwriting each other’s contact flows, and the pipeline got blamed.
I keep seeing the same pattern in Amazon Connect implementations: Lambda functions that return HTTP-style status codes — 200 for success, 400 for validation errors, 404 for not found, 500 for unhandled exceptions.
I’ve been promoted to Director of Engineering at CXBuilder!
A contact center handling 10,000 calls daily with just 8 seconds of sequential Lambda execution wastes 22+ hours of caller time every day.
Health check APIs with 200ms to 8-second response times at 200,000+ daily call volume? That’s a recipe for disaster.
I’ve joined CXBuilder as a Senior Architect!
I am working on a Amazon Chime application that provides natural language and GenAI features to a legacy phone system. After deploying the app into a new account, I got the following error in my SMA Lambda Handler when trying to invoke the Amazon Lex bot:
I really like the declarative nature of CloudFormation - you describe an end-state, and it computes the diffs. CDK gives me even more flexibility in creating complex apps. Recently I built a CDK web a
I am now a certified AWS AI Practitioner! This is a fairly new certification from AWS focusing on MLOps and GenAI workloads on AWS. I highly recommend these practice exams on Udemy.