A deep technical discussion on architectural patterns for podcast audio generation pipelines. Hosts examine the tension between using Durable Objects for both creative orchestration (script generation) and mechanical coordination (TTS processing), and explore why these require fundamentally different approaches. The episode covers migrating client-side analyzers to cloud workers using MCP WebSocket coordination, the practical implications of ElevenLabs-to-Deepgram Aura-2 TTS migration with 48kHz 16-bit audio output, and critical memory constraints when stitching large WAV buffers in Cloudflare Workers. Key insights include why ephemeral fan-out-fan-in patterns belong on WebSocket primitives rather than Durable Objects, how to structure clean boundaries between coordination layers, and concrete memory profiling strategies to prevent runtime failures with growing episode lengths. Essential listening for engineers building scalable audio processing systems on serverless infrastructure.

In this episode:
00:10 - Two Durable Objects, Two Different Jobs: The Coordination Pattern Problem
01:09 - Moving Analyzers to the Cloud: Why You Need a New Orchestration Layer
02:11 - WebSocket as Orchestration Backbone: Ephemeral Coordination vs. Durable State
03:01 - The TTS Migration and the Hidden Memory Ceiling: When 128MB Becomes a Hard Limit
03:59 - Streaming WAV Output to R2: The One Thing to Fix Before It Breaks at Runtime

---
Copy this prompt into Cursor to start implementing:

Based on my podcast episode "Separating Coordination Patterns: Durable Objects vs. WebSockets in Audio Pipeline Architecture", help me:
- Understanding software architecture principles
- Best practices in code organization

Analyze my codebase, identify the relevant files, create a plan, then implement the changes.