How Podcasters Use AI Day to Day: Workflows That Work

Podcasters use AI to record clean, edit by transcript, and repurpose every episode. This guide shows the Riverside and Descript workflow that actually works.

By Galactic News Editorial · Published 2026-11-10T01:25:54+00:00 · Updated 2026-11-10T01:25:54+00:00

How Podcasters Use AI Day to Day: Workflows That Work

Podcasters use AI to cut the boring parts of production. Recording still needs a human voice. Editing, cleanup, show notes, and social clips do not. The workflows that work give each job to the right tool. Record in one place, edit in another, and let AI handle the repurposing. This guide walks through that pipeline.

How Podcasters Use AI Across an Episode

A typical episode passes through four stages. Recording, editing, cleanup, and publishing. AI now helps at every stage, but its value is uneven. It shines at transcription, filler removal, audio cleanup, and drafting show notes. It is weaker at creative judgment, like which story to cut or which clip will land on social media.

The most common stack is simple. Record remote guests in Riverside. Edit the transcript in Descript. Clean the audio with Studio Sound or Adobe Podcast Enhance. Then generate show notes, chapters, and clips from the finished transcript. Each tool does one job well.

Record: Riverside and Local Tracks

Remote recording is where quality is won or lost. A video call compresses audio and drops frames when the connection dips. Riverside records each participant locally on their own device, then uploads the file in the background. The guest's spotty Wi-Fi does not ruin your audio.

You get separate, uncompressed tracks per person. That matters in editing. You can fix one speaker's level without touching the other. You can cut crosstalk. You can remove a cough from one track while the other keeps talking.

Riverside has added its own AI layer too. It transcribes the recording, splits it into chapters, and colour-codes speakers. Its Magic Clips feature pulls short highlights ready for social media. Its AI Show Notes tool drafts summaries, takeaways, and chapters. A newer AI Producer feature can cut between speakers and add lower-thirds for a video version.

For solo shows, a dedicated recording platform is overkill. Record in your editor or a simple audio app. The local-recording advantage only matters when guests join from elsewhere.

Edit: Descript and Transcript-Based Cutting

Descript changed podcast editing by turning it into document editing. It transcribes your recording automatically. You edit the audio by editing the text. Delete a sentence from the transcript and it disappears from the timeline. Cut a paragraph and the whole chunk is gone.

For anyone who never learned a traditional audio workstation, this is a meaningful shift. You read the episode like a blog post. You highlight tangents and delete them. You move a story earlier by dragging a paragraph. The learning curve is hours, not weeks.

Descript's AI co-editor, Underlord, handles multi-step jobs from a plain-language instruction. It can remove filler words, catch bad takes, suggest B-roll, and pull social clips. Its filler word removal finds every um, uh, like, and repeated word, and removes them in one pass. Review the cuts before you apply them. Removing a filler can create an unnatural hard cut.

Studio Sound is the other feature podcasters use in almost every session. It is a one-click filter that removes background noise and echo and enhances the speaking voice. A noisy room starts to sound like a booth. It cannot fix a bad microphone, but it lifts an average one a long way.

Descript also includes Regenerate, which fixes a misspoken word by typing the correction. It re-speaks the words in the speaker's cloned voice. Use it for small fixes, not for rewriting whole sentences. The result can sound slightly off on unusual words.

Publish and Repurpose: Show Notes, Chapters, and Clips

Once the edit is done, the transcript becomes the raw material for everything else. Show notes, episode descriptions, chapters, newsletters, and social posts can all start from the same text. AI drafts them in minutes. A human then checks facts, names, and links.

Good show notes need three things. A short summary of what the episode covers. Timestamps for the main topics. Links to anything mentioned. AI can draft all three from the transcript, but it can also invent a link or misspell a guest's name. Check every proper noun before you publish.

Clips are where most podcasters find new listeners. Riverside's Magic Clips and Descript's clip tools find highlight moments and format them for social feeds. Pick clips with a clear hook in the first three seconds. A strong opinion, a surprising fact, or a funny moment works better than a general summary.

Adobe Podcast Enhance is a useful free cleanup step for shows recorded outside a studio. Upload the audio and it removes background noise and echo. It works well as a pre-edit pass before the file goes into Descript.

A Repeatable Episode Workflow

Here is a workflow that scales from one episode a month to one a week.

1. Plan. Write the episode outline and the three questions that matter most. Keep it to one page.
2. Record. Use Riverside for remote guests and local tracks. Record a backup on a second device if the guest matters.
3. Transcribe. Import the tracks into Descript and let transcription run. Check speaker labels before you edit.
4. Rough cut. Read the transcript and delete tangents, false starts, and dead air. Ask Underlord for a first pass if the episode is long.
5. Clean up. Run filler word removal, then apply Studio Sound to each track. Listen to the result at normal speed.
6. Fix and polish. Use Regenerate for small flubs. Add your intro, outro, and music beds.
7. Repurpose. Generate show notes, chapters, and two or three social clips from the finished transcript. Check names and links.
8. Publish. Upload to your host with the notes and chapters attached, then schedule the clips.

A 45-minute interview episode takes about 90 minutes to edit this way, including social clips. The same edit in a waveform editor often takes twice as long.

Tool Comparison

Many podcasters use Riverside and Descript together. Record in Riverside for quality, edit in Descript for speed. That pair covers the whole pipeline for a typical interview show.

Bottom Line

Podcasters get the most from AI when they automate the repetitive work and keep the creative calls. Let the tools transcribe, clean, and draft. You decide what to cut, what to keep, and what the show sounds like. Record clean, edit by transcript, and check every AI draft before it goes live.