AMA: I built AI content systems that actually sound human. Ask me anything
Over the last months I've been deep in one problem: why does most AI-generated content still sound like AI wrote it?
I've tested voice extraction workflows, multi-agent pipelines, prompt compression techniques and production setups to close that gap. Some of it worked. Some of it was a waste of time. The stuff that actually works in production looks very different from what gets likes on Twitter.
A recent post about our 100-question voice extraction process got way more traction than expected. So I'm doing an AMA.
What I can talk about:
- voice and tone extraction at scale
- multi-agent workflows vs. single-chat setups
- prompt compression and what it does to output quality
- the line between "sounds human" and "sounds like me specifically"
- mistakes I've made building these systems
- where AI content is actually heading in 2026
I'll start answering questions on: Wednesday, May 20 · 8 AM PT / 11 AM ET / 5 PM CET Drop your questions below.
u/Ok_Today5649 — 2 days ago