---
title: "I spent a while trying to get an LLM to make a podcast that's actually listenable. The hard part wasn't the model. — Stuff That Spins"
description: "I wanted to know if an LLM could generate a podcast I'd actually choose to listen to — turning Hacker News threads into audio, in my case. Turns out writing th…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-07T14:01:47+00:00"
modified: "2026-07-07T18:02:31.834174+00:00"
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# I spent a while trying to get an LLM to make a podcast that's actually listenable. The hard part wasn't the model.

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://www.reddit.com/r/artificial/comments/1upw0d1/i_spent_a_while_trying_to_get_an_llm_to_make_a/  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

I wanted to know if an LLM could generate a podcast I'd actually choose to listen to — turning Hacker News threads into audio, in my case. Turns out writing the script is the easy 20%. The rest is fighting everything the model wants to do by default. Two things made the biggest difference: 1. Constraints beat instructions. Telling a model "be conversational" does nothing. What worked was giving the two hosts different information — one only read the article, the other only read the

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