# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=k79EgIkWrX0
- **Gondola URL:** https://gondola.cc/posts/63513926-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/81dbd80659.jpg
- **Posted:** 2026-04-21T05:43:13.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

🚀 Build Multi-Channel AI Agents with AWS & Twilio | How to Build Like AWS

Join us for an exciting deep dive into building production-ready multi-channel AI agents that meet customers where they are! Learn how AWS and Twilio partnered to create intelligent conversational experiences across voice, text, and email channels with persistent context and memory.

In this episode, we explore a real-world solution that combines AWS Bedrock's generative AI capabilities with Twilio's communication services to build a sophisticated agent that handles customer interactions seamlessly across multiple channels. Discover how to leverage speech-to-text, text-to-speech, and streaming APIs to create responsive, context-aware customer experiences.

**🎯 Key Takeaways:**
✅ How to architect multi-channel AI agents using AWS Bedrock and Twilio services
✅ Best practices for handling different communication channels (voice, text, email) with varying latency requirements
✅ Technical implementation details including web-socket streaming, async tools, and knowledge base integration
✅ Real-world demo of an AI agent maintaining context across channels
✅ AWS PACE team's "working backwards" approach to rapid prototyping

**💡 What You'll Learn:**
- Building event-driven text interactions vs. real-time voice conversations
- Choosing the right LLM for your use case (value over novelty)
- Managing persistent memory across customer conversations
- Scaling from small prototypes to production-ready solutions
- Trade-offs between development speed and production requirements

**🔧 Technologies Covered:**
AWS Bedrock | Bedrock Knowledge Base | Converse Stream API | Twilio Voice | Twilio Messaging | Multi-Channel Architecture | Generative AI | Conversational AI

Perfect for developers, solution architects, and technical leaders interested in building scalable AI-powered customer engagement solutions!

**🔗 Resources:**
GitHub Sample Code | AWS PACE Program | Career Opportunities

#AWS #Twilio #GenerativeAI #AWSBedrock #MultiChannelAI #ConversationalAI #AIAgents #CloudComputing #DeveloperTools #MachineLearning #CustomerExperience #VoiceAI #Chatbots #AWSArchitecture #BuildOnAWS #TechLivestream #AIIntegration #CloudArchitecture #EnterpriseAI #DeveloperCommunity

## Stats

- **Views:** 670
- **Likes:** 30
- **Shares:** 0
- **Comments:** 1

## Tags

twilio, enterpriseai, cloudcomputing, machinelearning, conversationalai, developertools, techlivestream, multichannelai, generativeai, developercommunity, buildonaws, aws, awsbedrock, aiagents, chatbots, voiceai, cloudarchitecture, aiintegration, awsarchitecture, customerexperience

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