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Most QA teams are drowning in fragmented tools, manual effort, and zero visibility across the pipeline. The gap between AI experiments and production-ready systems keeps growing. And scattered dashboards make it nearly impossible to track quality at scale.
​This meetup brings you two focused sessions. First, a practitioner-led deep dive into building ATLAS AI, a production-grade autonomous testing platform powered by RAG, MCP, and Gen AI agents. Then, a live demo of how a single-pane quality view replaces tool chaos with clarity for engineering, QA, and leadership teams.
​Reserve your spot today and walk away with frameworks you can put to work on Monday.

## ​What Will You Learn

  • ​You'll learn a practical framework to move AI in testing from proof-of-concept to production-grade systems
  • ​You'll understand how to design role-based AI platforms that serve testers, developers, PMs, and leadership
  • ​You'll see how RAG, MCP, and Gen AI architectures power real use cases like test generation, PR reviews, and visual regression
  • ​You'll discover how a single-pane quality view eliminates tool fragmentation and accelerates delivery decisions
  • ​You'll walk away with strategies for AI governance, trust, and accuracy using evals and red teaming

## ​Agenda

  • ​11:00 AM: Welcome and Networking (10 min)
  • ​11:10 AM: From Prompts to Production, Building ATLAS AI: The Autonomous Future of Testing at Scale (40 min)
  • ​11:50 AM: Break (10 min)
  • ​12:00 PM: Quality Engineering Insights: From Fragmented Tools to a Single Pane of View (40 min)
  • ​12:40 PM: Lunch and Networking

## ​Who Should Attend

  • ​QA Engineers and SDETs looking to integrate AI into their daily testing workflows
  • ​QA Leads and Test Managers seeking to move from manual to autonomous testing ecosystems
  • ​Engineering Managers who want unified quality visibility across their delivery pipeline
  • ​Directors and VPs of Quality Engineering exploring AI-driven transformation at scale
  • ​Automation Architects evaluating RAG, MCP, and Gen AI for production systems

​If you're serious about the future of quality engineering, we'd love to have you there.
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