Go from recorded audio to published episode on Apple and Spotify in a single session, not across a multi-day tool-hopping workflow.
Most podcast workflows are a relay race across tools: record in one app, edit in another, host somewhere else, schedule clips in a third place, track guests in a spreadsheet, and chase sponsor reads via email. The handoffs eat hours and introduce mistakes — a misnamed file, a forgotten RSS update, a clip that never went out. Podcast Studio collapses that relay into a single browser-based workspace. By the end of a session you have a live episode on Apple Podcasts and Spotify, mastered audio that passed a QA gate, and at least one promotional clip already scheduled. The AI instructor guides you through each stage, listens to what you do, and corrects you the moment something is off — not after you submit a quiz.
Step 1 — You do the thing
There are no slides to click through. You open the studio, load a scenario — solo episode, guest interview, sponsor read — and work through it using real production tools inside the browser. The AI instructor watches what you actually do: your edit decisions, your RSS configuration, your clip timing.
Step 2 — It listens and corrects you in real time
The moment you compress audio incorrectly, mislabel an episode number, or skip a required metadata field before submission, the instructor flags it. You fix it now, in context, while the mistake is fresh — not after a graded assignment comes back two days later.
Step 3 — You leave with a live episode and a certificate
Certification is based on performance, not a multiple-choice test. The lab verifies that your episode is reachable on Apple and Spotify, that your audio cleared the QA gate, and that a clip is scheduled. When those conditions are met, you have both a real published episode and a certificate that reflects demonstrated ability.
Recording, mastering, and QA
Capture audio in the browser-based live stage and interview booth. The mastering tools normalize levels, reduce noise, and run a QA gate that checks loudness targets, clipping, and silence thresholds before you can move to distribution.
RSS feed builder and direct submission
Build a standards-compliant RSS feed, add episode metadata, and submit directly to Apple Podcasts and Spotify without third-party hosting as a required intermediary. The lab walks you through each required and optional field.
Clip creation and social scheduling
Select any segment, add captions, trim to platform-appropriate lengths, and schedule publication to social channels without leaving the workspace. No exporting files to upload somewhere else.
Guest management and sponsor tracking
Intake guest details, schedule recording sessions, and log sponsor reads and placement timestamps in the same environment where you record. Nothing lives in a separate Calendly or spreadsheet.
Episode analytics dashboard
Track downloads, listener retention, and episode-level performance after publication. The data sits next to your production tools rather than in a disconnected hosting portal.
The lab runs to 40 hours of hands-on time and is appropriate for all levels, from someone publishing their first episode to a producer managing multiple shows.
| Podcast Studio | A video course | |
| Hands-on practice | Yes — you operate real production tools | No — you watch an instructor operate them |
| Real-time correction | AI instructor flags mistakes as you make them | None during learning; feedback comes from forums or not at all |
| Outcome | Live published episode on Apple and Spotify | Knowledge of how publishing works |
| Tool consolidation | Recording, RSS, clipping, guest management, analytics in one place | Teaches individual tools separately; you still assemble your own stack |
| Certification basis | Performance — verified published episode | Completion of video modules |
| Guest and sponsor workflow | Built into the same workspace | Covered conceptually, implemented elsewhere |
| Price | $59 one-time, or $19/mo for every lab | Varies; typically $50–$200, sometimes more |
Video courses from platforms like Udemy or Skillshare are genuinely useful for understanding concepts and seeing an experienced practitioner's decision-making process. The honest limitation is that watching someone publish an episode is not the same as doing it under conditions where a mistake gets caught immediately.
Do I need any podcasting experience before starting this lab?
No. The lab is listed at all levels. The AI instructor adapts to where you are — if you have never recorded a podcast episode, the scenario starts from scratch; if you are an experienced producer, the early stages move quickly and the complexity builds toward multi-show and sponsor management.
Can I use Podcast Studio as a free alternative to Descript and Anchor?
Podcast Studio is a learning environment, not a permanent production subscription. You will use tools that replicate the Descript-and-Anchor workflow inside the lab, and you will leave knowing exactly how to run that workflow — either inside a dedicated tool or by making a more informed choice about what to pay for.
How long does it take to publish a podcast episode from scratch in one session?
That depends on episode length and how much editing the raw audio requires, but the lab is structured so that a 20-to-30-minute episode can go from recorded audio to live on Apple and Spotify within a single working session. The 40-hour lab total includes time for more complex scenarios: guest coordination, multi-episode RSS management, and sponsor workflows.
Does the lab actually submit to Apple Podcasts and Spotify, or is it simulated?
The RSS builder and submission flow are real. The QA gate checks against actual platform requirements. Whether your episode goes to a live public feed or a sandboxed test feed depends on the scenario you are working through, and the lab makes that distinction clear before you begin.
Is the $59 a one-time payment or a subscription?
$59 is a one-time payment for Podcast Studio. If you want access to every Jade Labs lab, the all-access plan is $19 per month.
What does the AI instructor actually do during the session?
It listens to your actions inside the studio — the edits you make, the fields you fill in, the settings you apply — and responds in real time. If your audio export does not meet loudness targets, it tells you before you reach the submission step. If your RSS feed is missing a required field, it flags it as you build. It does not wait for you to finish and then grade a completed assignment.