A deep technical review of a podcast generation system reveals critical architectural patterns emerging as the project scales. Hosts examine how multi-agent pipelines silently become distributed systems, analyzing three major issues: drifting commit boundaries caused by blackboard coupling, mixed concerns in durable objects, and the absence of evaluation infrastructure. The discussion covers practical solutions including versioned blackboard schemas with additive-only evolution, extracting domain logic from infrastructure orchestration, and building eval harnesses to replace 'run and pray' iteration cycles. Additional technical guidance addresses exponential backoff for rate limiting, documentation co-location, testability of audio processing utilities, and runtime consistency in monorepo deployments. Essential listening for engineers building complex multi-agent systems who need to transition from feature velocity to output quality assurance.