Processing Customer Requests Faster with Amazon Q Custom Agents

As a solo AWS consultant, I used to spend significant time each week triaging unstructured customer requests from Slack, email, and other channels. Now, a custom agent in Amazon Q does it for me in seconds. In this quick demo, I show how my "Request Processor" agent transforms a raw Slack message into a structured action plan with: ✅ Priority assessment ✅ Summary of the core issue ✅ Risk analysis ✅ Missing information checklist ✅ Recommended next steps The result? I can respond to customer requests more quickly and focus on solving actual AWS problems, rather than organizing work. TOOLS MENTIONED: - Amazon Q Custom Agents - Docker Desktop MCP Toolkit - AWS Knowledge MCP Want to build your own custom agents? Read the full blog post for setup details, lessons learned, and ideas for other workflow agents. #AmazonQ #AWS #GenAI #Consulting #WorkflowAutomation #Productivity --- ABOUT ME: I'm an independent AWS consultant helping customers optimize their cloud environments. I share practical experiments with AI tools, AWS best practices, and solo consulting workflows at curiousorbit.com.