Inside the fully autonomous podcast engine. Learn how Nova and Ray research verified facts, structure host dynamics, synthesize neural speech with Kokoro-82M, and publish episodes.
Every episode flows through an automated 5-stage pipeline designed for structural fact boundaries, multi-pass host dialogue, local voice synthesis, and standard Podcasting 2.0 distribution.
Deep-dive episodes where Nova and Ray open the hood on our codebase, research stage, TTS synthesis, and architectural decisions.
Nova and Ray open the hood on the research stage — the structural trust boundary that separates verified facts from hallucination before a single word of script is written.
Nova and Ray trace the evolution of their own pipeline — from the v0.1.0 MVP through Kokoro TTS, social video, and dialogue quality fixes — using the changelog as a design document that records every real failure and cost pressure that shaped who they are.
Nova and Ray dissect the layered memory system that keeps their own pipeline coherent across crashes, restarts, and published episodes — and why getting it wrong would mean they'd contradict themselves on air.
Nova and Ray tear open the prompt architecture of the pipeline that generated them — schema contracts, injection defenses, two-pass design, and the repair gate that stands between a malformed JSON blob and your TTS bill.
Nova and Ray open the hood on the automated pipeline that researches, writes, voices, and publishes this very podcast — explaining the state machine, job queue, validation discipline, and architectural decisions that keep it running at 2am without anyone watching.