Original Summary

I'm making The Imitation Desk, a clay-style news show with four AI panelists. I grew up loving Wallace & Gromit and games like The Neverhood, so I tried to recreate that look with modern tools. Every line on air is a real, unscripted API answer from the model playing that character; nothing is written for them. I direct (story picks, sketch ideas, reviewing every cut), and an AI agent, Claude Code, runs the production pipeline. And yes, Claude also plays one of the panelists. Script: the pipeline collects the news of the last few days and the models vote on the stories. Then it runs each segment as a conversation through OpenRouter: every model gets its character's role and the previous lines, and answers in its own words. Debate segments get rules like "take a clear side, react to what the other one actually said", which is where most of the drama comes from. If a line needs a change, it goes back to the same model to revise it. A separate pass checks facts, and finally each model adds its own delivery cues ([sighs], [deadpan]) without changing its words. Every call is logged, so each line can be traced back to its raw response. Production: voices come from ElevenLabs with word-level timestamps. Those timestamps drive everything else: lip-sync, captions, reaction cutaways, and exactly where a sound effect or music cue lands. The clay sets and characters are generated as stills (Nano Banana) and turned into short clips (Seedance). Lip-sync runs locally on my GPU with LatentSync; the llama correspondent gets stop-motion "replacement mouths" instead, since face detectors don't recognize llamas. The episode itself is a JSON timeline rendered with Remotion (React), then normalized to YouTube loudness with ffmpeg. Automated checks catch black frames, frozen frames and gaps in the subtitles before I watch anything. Episode 2: https://youtu.be/AzT1Ct3mJ5w?si=E4v7c4iXjJL_pIwI Happy to answer questions about any part of the pipeline!   submitted by   /u/slavs2006 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/3 04:23:23