Wanted to see how far current models could take a full content pipeline, so I tried: input a topic only, AI researches it, writes a script, generates two-host audio, outputs episode-ready files (MP3 + cover art + RSS). The interesting part isn’t the TTS itself (that’s been solid for a while), it’s whether the research and scriptwriting layer holds up over a full 15-20 minute episode without going in circles or repeating itself, which is where most “AI podcast” attempts I’ve seen fall apart. In my test it stayed coherent for the full length and pulled specific facts instead of vague filler. Not claiming this replaces real production, but as a first draft or rapid-prototyping step for a podcast episode it’s closer than I expected a year ago. Curious if others have tested similar pipelines (research to script to audio) and how they held up over longer outputs. submitted by /u/Which-Breadfruit-926
Originally posted by u/Which-Breadfruit-926 on r/ArtificialInteligence
