I’m a podcast content operator — I handle the full production side of a show so hosts and founders never have to think about post-production again.
One episode goes in. Edited audio, short-form clips, SEO show notes, social posts, and newsletter content come out — all sounding like the host wrote every word. I specialize in voice preservation at scale, which means the content doesn’t just get repurposed, it stays authentic across every platform.
I work with AI-assisted workflows built specifically for podcast production. That means fast turnaround without sacrificing quality or the host’s voice.
I’ve run end-to-end production for established podcast shows, built content systems for 60+ clients simultaneously, and developed repurposing workflows that turn a single recording into a full month of multi-channel content.
If you’re producing good content and it’s not working as hard as it should — that’s exactly what I fix.
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Visual artists rarely have time for content — and writing about their own work is usually the last thing they do.
I built a structured production system using onboarding materials, existing artwork, and source content to generate fully branded monthly outputs for 60+ clients simultaneously.
The system used AI-assisted caption workflows and reusable Canva templates to maintain each artist’s individual voice at scale. Result: 12 posts per month per client, consistently, without losing what made each one sound like themselves.
One client said: “Finally consistent. I didn’t touch a caption for three months and my engagement went up.”
The system thinking from this project carries directly into how I approach podcast content operations today — voice preservation at scale is the same problem, different format.
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