Hands-on AI Experiments, Tested and Explained
CTAIO Labs Podcast
The Lab Format
Every episode is a lab report. I pick one piece of the AI stack — a voice cloning engine, a video generator, an automation framework — and run it through a real project with real constraints. Budget, timeline, production quality.
The first season covers the tools I use in my own consulting work: building AI voice clones for content production, generating video at scale, automating research pipelines. Each lab compares multiple tools head-to-head, shows what actually ships, and documents where things break.
This isn't a review show. It's documentation of experiments I'm running anyway — packaged so other practitioners can skip the trial-and-error phase.
Why "Labs"
Each episode follows a structured experiment format
Hypothesis
Every episode starts with a specific question. Can AI clone a voice well enough for podcast production? Which video generator handles branded content best?
Method
Multiple tools tested on the same task, same inputs, same evaluation criteria. No cherry-picking results. The full methodology is documented in companion articles on ctaio.dev.
Results
Clear winners, clear losers, and the edge cases that matter. Cost breakdowns, quality comparisons, and the specific configurations that produced the best output.
Latest Episode
The first lab: ElevenLabs, Cartesia, Coqui, and 5 more voice cloning engines tested head-to-head. Same source audio, same evaluation framework, ranked by naturalness, stability, and production readiness.
Listen to CTAIO Labs
Hands-on AI experiments — voice cloning, video generation, workflow automation. Real results, not theory.