Oct
14

Wednesday, October 14, 2026
7:00 PM – 10:00 PM CDT

Zombie Radio AI — The Austin Python Meetup

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About this event

The Austin Python Meetup's October talk: a Python CLI application that stages an audio-only radio play performed by improvising LLM voice actors with human-quality text-to-speech, built as a Halloween piece.

LLM actors, improvising a radio play

October's Austin Python Meetup is given over to "Zombie Radio AI" by Alfredo Valles — a Python command-line application that performs an audio-only theatre piece with several LLM voice actors improvising their way through a story about four people trapped in a lab with zombies.

The output is a continuous stream of spoken dialogue engineered to sound like a 1930s radio broadcast, an explicit nod to Orson Welles's 1938 Halloween "War of the Worlds" episode. Unlike radio, the listener can interact with the unfolding story.

It is a genuinely useful case study in multi-agent orchestration: several language models holding distinct characters in a shared scene, coordinated in real time, with human-quality text-to-speech carrying the result. Anyone working on voice agents, multi-agent systems, or generative audio will find recognisable engineering problems here — turn-taking, character consistency, and latency — in an unusually enjoyable setting.

Practical details

  • When: Wednesday, October 14, 7:00–10:00 p.m.
  • Where: Brazos Place, 800 Brazos Street — the in-person session is hosted by Antler in downtown Austin. Note the organizer's warning that the entrance is on Brazos Street, not 8th.
  • Cost: Free

This is a hybrid meeting: it runs in person at the address above and is simultaneously streamed, so remote attendance is possible. The Austin Python Meetup is a large general-purpose Python community — most months are not AI-focused, but this session is.

Organized by

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The Austin Python Meetup

Austin's long-running Python user group, one of the largest technical communities in the city. It meets monthly for talks on the language and its ecosystem; sessions periodically focus on machine learning, LLM tooling, and AI applications built in Python.

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