Podcast Production Workflow

Founder shows up, records 60 minutes. 12 hours later the episode is live across every platform with show notes, clips, and transcript.

Updated 2026-04-18
Tycoon solution

AI Head of Content + AI CMO run a full podcast production workflow. Guest outreach via email/LinkedIn with scheduling in Cal.com, recording in Riverside/Squadcast, then the post-record pipeline: Descript does the rough cut with your AI editor's direction, transcript generates automatically, show notes + blog + timestamps drafted, 4-5 clips cut for social, everything distributed to Spotify/Apple/YouTube, plus the guest gets their thank-you pack the same day.

How it runs

  1. Guest outreach and booking

    You give Tycoon Agent a target guest list (or criteria like 'Series B founders in dev tools'). AI CMO drafts personalized pitches, sends via Gmail, handles scheduling via Cal.com, sends the prep doc (topics, sample questions, tech setup) 48 hours before, and sends a reminder the morning of.

  2. Recording in Riverside/Squadcast

    You record in Riverside or Squadcast — separate audio + video tracks. AI Head of Content monitors for recording issues (dropped audio, bad connection) and flags for a possible re-record before you end the call.

  3. Auto-edit with Descript

    Descript imports the recording, AI Head of Content drives the first pass: remove filler words ('um', 'like', 'you know'), cut long pauses, balance audio levels, add intro/outro, add ad reads if applicable. Output is 85% ready; you review in 20 minutes and approve.

  4. Generate show notes and blog post

    From the transcript, AI Head of Content drafts: (1) show notes with timestamps for major topics, (2) a 1,500-word blog post summarizing the episode in your brand voice, (3) an episode description optimized for podcast SEO (150-300 words, keyword-dense), (4) 3-5 pull quotes for social.

  5. Clip extraction for social

    AI CMO identifies the 4-5 most quotable moments (via pattern matching + sentiment analysis) and cuts 60-90 second clips with captions. Formatted for Twitter, LinkedIn, social Reels, TikTok. Waveforms + branded backgrounds. You approve the shortlist before they post.

  6. Multi-platform distribution

    Episode uploads to Transistor/Buzzsprout (which distributes to Spotify, Apple, Google). Video uploads to YouTube with chapters + show notes. Blog post publishes on your site with podcast player embed. RSS feed updates. Newsletter features it if it's a flagship episode.

  7. Guest thank-you + promotion kit

    Same day as release, guest gets a thank-you email with: release date, a 'promo pack' (2-3 graphics, 3 pre-written social posts they can copy-paste, the transcript, episode link). Most guests promote when you make it friction-free. Your guest-reach compounds.

Who runs it

  • hire/ai-head-of-content
  • hire/ai-cmo
  • hire/ai-coo

What you get

  • 12-hour post-record workflow becomes 30 minutes of founder review
  • Episode live within 48 hours of recording (not 2 weeks)
  • Show notes + blog post + transcript + clips all shipped together
  • Guests promote because the promo pack removes their friction
  • Podcast SEO: each episode ranks for guest-name + topic queries
  • Sustainable cadence: you can do weekly instead of 'I burned out at episode 8'
  • Guest pipeline never dries up — outreach runs continuously in background
FAQ

Frequently asked questions

Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.

Descript and Riverside both have their own AI. Why do I need another layer?

Descript and Riverside have editing-focused AI: remove filler words, generate rough transcripts, one-click share. They don't do guest outreach, show notes drafting in your voice, multi-platform distribution with format-specific optimization, or guest promo kits. Tycoon orchestrates across your tools — it calls Descript's API to kick off the edit, uses the transcript to draft show notes in your voice, and routes outputs to the right distribution channels. Think of it as: Descript = edit; Tycoon = the production team that uses Descript (plus 8 other tools) to ship the episode.

I have a specific editorial voice and guest-interview style. Can AI handle the craft?

AI doesn't host the podcast — you do. The craft (questions, follow-ups, chemistry with guest) is 100% you. What AI handles: the logistics + post-production that's identical for every episode regardless of host voice. Show notes in your voice get learned from your past episodes. Clip selection gets trained by which clips you historically approved vs rejected. After 5-6 episodes the AI-generated drafts sound indistinguishable from your own, because they're trained on your outputs, not a generic 'podcast host voice'.

What about video podcasts — I record on camera, not just audio?

Video podcasts add 2 steps: (1) video edit in Descript with b-roll insertion where relevant (speaker pull-quotes, screenshot moments), and (2) vertical clip formatting for Shorts/Reels/TikTok with face-tracking. AI Head of Content handles both. YouTube distribution gets full chapter markers, thumbnail generation (3 variants, you pick), and end-screen setup. Video podcasts take 30% more time than audio-only but produce 3-5x more short-form content.

How does guest outreach avoid feeling spammy? I want A-list guests, not Upwork fake experts.

AI CMO pulls targets from your first-degree network and LinkedIn second-degree, not a cold database. Outreach uses real context: 'Saw you wrote about X on Lenny's, would love to unpack it on [podcast name] — my audience is founders at [stage] and I think your take would resonate'. Real personalization, not mail-merge templates. For truly A-list guests, the outreach is multi-step: warm intro request first (to your network), cold email only if no warm path exists. Response rates: 35-60% for warm, 10-15% for cold.

Our budget is bootstrapped — is this affordable for a <100-listener podcast?

The tool costs (Riverside $20, Descript $24, Transistor $19) are the same whether you have 100 or 100K listeners. What Tycoon adds is the 'team' layer on top of those tools — no additional editor ($50-100/hr) or VA ($20-30/hr) needed. Most founders running this workflow save 8-10 hours per episode, which is the difference between 'podcast as side project that dies at episode 10' and 'podcast as durable content engine'. Payoff isn't cost savings; it's sustainable publishing frequency.

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