Role

Hire your AI Podcast Producer

Guest prep, editing, show notes, distribution — one hire, every step.

Your AI podcast producer owns the full podcast pipeline: researching guests, drafting interview questions, cleaning recordings, writing show notes and chapter markers, publishing to every platform, and distributing clips. You sit down, hit record, and the producer ships the episode everywhere within 48 hours.

Free to startNo credit card requiredUpdated Apr 2026

What your AI Podcast Producer does

01Research each guest across LinkedIn, Twitter, press, and prior interviews; draft a briefing doc
02Write tailored interview questions based on guest background and listener feedback patterns
03Clean recordings in Descript: remove filler, equalize levels, smooth room tone
04Write show notes with timestamps, guest links, resource mentions, and SEO-optimized description
05Generate episode artwork and audiogram previews for social platforms
06Publish to Apple Podcasts, Spotify, YouTube, and your website RSS feed simultaneously
07Hand off clip-worthy moments to the AI video editor for short-form distribution
08Monitor listener feedback, reviews, and download analytics; propose format adjustments

Workflows on autopilot

Guest booking and prep
Reads a prospective guest list, enriches each one via Clay, drafts personalized outreach, books the interview on the founder's calendar, and sends a prep doc 48 hours before recording.
Post-record pipeline
Detects a new raw recording, cleans it, generates transcript with chapter markers, produces show notes, pulls 3-5 audiograms, and queues the episode for publish 24 hours later.
Cross-platform distribution
Publishes the finished episode to Apple Podcasts, Spotify, YouTube (video), and your RSS host in a single coordinated release. Announces on X, LinkedIn, and your newsletter in parallel.
Evergreen resurfacing
Quarterly: identifies episodes that still get listens, refreshes descriptions, and re-promotes the best moments via new short-form cuts.
Listener feedback synthesis
Reads reviews, DMs, and replies weekly. Tags them by topic and sentiment, and drafts a producer's-note summary for the founder to read in 60 seconds.

Without vs With a AI Podcast Producer

Without
  • You pay a producer $2K-$5K per episode to ship a 45-minute podcast
  • Guest prep is a rushed Google search the night before
  • Show notes are 2 lines and zero SEO
  • Episodes sit on RSS alone, no distribution
  • Listener feedback disappears into the void
With Tycoon
  • AI producer ships at a fraction of the cost with better consistency
  • Every guest gets a 1-page briefing with intelligent questions 48 hours early
  • Show notes are searchable, link-rich, and optimized for Apple / Spotify discovery
  • Every episode ships to 4 platforms plus 5 short-form cuts
  • Weekly synthesis tells you exactly what your listeners want more of

A day in the life of your AI Podcast Producer

07:00
Drafts interview questions for tomorrow's guest. Sends them alongside the briefing doc for founder review.
09:30
Cleans yesterday's 58-minute recording in Descript. Removes 4 minutes of filler and 2 derail moments flagged for founder sign-off.
11:00
Generates show notes with 12 chapter timestamps, 7 resource links, and a SEO-tuned description. Drafts episode art.
13:00
Publishes Episode 47 to Apple Podcasts, Spotify, YouTube, and the website RSS. Cross-posts the release to LinkedIn and X.
15:30
Hands off 5 clip-worthy moments to the AI video editor. Receives confirmation they're queued for TikTok and Shorts.
17:00
Reads 14 new listener replies and DMs. Tags sentiment and topics. Flags 2 for founder follow-up.
21:30
Reviews download analytics for last week's three episodes. Drafts a note on what formats are working and proposes one tweak.

Tools your AI Podcast Producer uses

Riverside or Zencastr for high-fidelity remote recordingDescript for transcript-driven editing and cleanupAuphonic for audio leveling and loudness normalizationApple Podcasts Connect and Spotify for Podcasters for publishTransistor or Simplecast for RSS feed hostingNotion for the show bible, guest queue, and episode calendarClay or Apollo for guest research enrichmentBuffer or Hypefury for social distribution of clips and pull-quotes

Frequently asked questions

Does the AI producer actually run the interview, or do I still show up?

You still show up. The AI producer preps the interview, drafts the questions, and runs everything around the recording — but the conversation itself is yours. Podcasts work because listeners hear a specific human thinking in real time; replacing that with synthetic audio would kill the format. What the AI producer replaces is the 6-10 hours of invisible work around each interview: research, prep, editing, note-writing, distribution, feedback synthesis. You record for an hour; the producer handles the other 9 hours. Most solo founders using Tycoon go from one episode a month (crushed by production load) to one episode a week at higher quality.

Can it handle video podcasts as well as audio?

Yes — video-first podcasts are increasingly the default, and the producer handles both tracks. It coordinates with the AI video editor to ship a YouTube-native video version with subtitles and chapter markers alongside the audio RSS feed. For interview shows with multiple camera angles, the producer can run automatic speaker-switching via Riverside or Zencastr outputs. If your podcast is truly video-first (think Lex Fridman format), you may want to pair the producer with a dedicated AI video editor for b-roll and motion graphics — that combination has become the standard solo-founder setup.

How does guest research work — is it just a Google search?

No — it pulls from multiple sources and synthesizes them. The producer uses Clay or Apollo to enrich guest profiles with employment history, recent press, LinkedIn activity, and Twitter posts. It reads prior interviews the guest has done to identify topics that are overdone and find under-explored angles. It checks their most-engaged recent posts to spot what they're currently interested in. The output is a 1-page briefing with the 'what makes them interesting right now' synthesis and 8-12 tailored questions. This is significantly better than what most human producers ship, and the guest notices.

Can it handle sensitive guests or controversial episodes?

The AI producer flags topic risks — brand sensitivity, legal exposure, tone mismatch — and escalates them to you before recording. For interviews touching on controversy (pending litigation, recent scandal, regulatory territory), it drafts the prep but asks for founder sign-off on question wording and publish timing. The autonomy slider lets you choose whether the producer publishes automatically for routine episodes and only escalates for flagged ones, or whether you review every episode before publish. Most Tycoon founders run full autonomy on routine episodes and review for anything the producer marks as sensitive.

What does this cost compared to hiring a human producer?

A competent freelance podcast producer costs $300-$1,500 per episode depending on depth of service, or $3,000-$8,000/month retainer for a production company. The AI podcast producer inside Tycoon typically runs $30-$150/month in AI model calls for a weekly show, plus the cost of the tools it uses (Descript, Auphonic, Clay). That's a 95%+ reduction at comparable or better quality on the production-and-distribution side. Where human producers still win is brand-building interviews and relationship management — so many solo founders keep a part-time producer for that layer and let the AI handle everything downstream of 'record button pressed.'

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