The Complete Guide to AI Podcast Production 2026: Topic Selection, Scripting, Recording, and Post-Production with a Full AI Workflow

Produce a podcast single-handedly with AI — what used to require a full team

The magic of podcasting lies in "voice" — AI can help you with everything except "opening your mouth to speak."

1. AI Podcast Toolchain

Complete production chain: Topic → Research → Script → Recording Assistance → Post-Production → Subtitles → Distribution

AI tool mapping: Topic: Perplexity / Google Trends / NotebookLM Research: Perplexity / Claude (long document analysis) Script: ChatGPT / Claude Recording Assistance: Descript Teleprompter Post-Production: Descript / Adobe Podcast / Auphonic Subtitles: Whisper / Descript Distribution: Buzzsprout / Podbean + cross-platform tools

2. Topic Selection and Research

2.1 AI-Generated Topic Ideas


My podcast focus: [topic area], target audience: [description]
I've already published [X] episodes, mainly covering [list of topics]
Please help me generate the next 10 episode topics:
3 timely topics (hot topics from the last month)
3 evergreen topics (relevant anytime)
2 interview guest topics (who to interview and why)
2 topics from angles the audience may not have seen
For each topic, provide:
Title
Core question (the most important question this episode aims to answer)
3 sub-topics worth diving into

2.2 Deep Research with NotebookLM

Upload relevant papers/books/articles (PDF) to NotebookLM

Ask: "What are the core controversies of this topic?"

Ask it to generate a "key data and case studies" summary

Directly generate a podcast discussion summary (built-in NotebookLM feature)

3. Script Writing

3.1 Solo Podcast Script


Write a podcast script about [topic], approximately 20 minutes long:
Structure:
Opening (1 min): Hook + self-introduction + preview of this episode
Background (3 min): Why this topic matters
Main body (13 min): 3 core points, 4 minutes each
  - Point 1: [content]
  - Point 2: [content]
  - Point 3: [content]
Summary (2 min): Key takeaways + action steps
Ending (1 min): Subscription call-to-action + next episode preview
Style: Conversational, like chatting with a friend, no broadcasting tone
Each point should be supported by at least one real case or data point

3.2 Interview Script


I'm interviewing [guest name], who is [brief bio]
Please help me generate an interview outline:
Icebreaker questions (2, to help the guest relax)
Background story questions (3, to learn about the guest's journey)
Core topic questions (5, the most important questions for this episode)
Controversial questions (1-2, to add tension to the conversation)
Practical questions the audience cares about (3)
Closing question (1, to let the guest say something special)
For each question, provide: main question + 2 possible follow-ups

4. Post-Production Editing with Descript

4.1 One-Click Removal of Filler Words

In Descript:

Upload audio, auto-transcribe

Edit → Remove Fillers (remove "um," "uh," "like," "you know")

Set removal threshold (default: pauses longer than 500ms)

4.2 Edit Audio Like Editing Text


Descript workflow:
Upload audio, wait for transcription (approx. 1:1 time ratio)
In the transcription text, strike through = delete corresponding audio
Ctrl+Z to undo, restore anytime
Add chapter markers (for generating chapter timestamps)

4.3 Audio Quality Enhancement with Adobe Podcast

Upload your recording to Adobe Podcast Enhanced Speech:

One-click background noise removal

Improve voice clarity

Handle echo and reverb

5. AI-Assisted Promotion Copy


Based on the following podcast content, generate promotional copy:
Podcast title: [title]
Core content summary: [200-word summary]
Please generate:
Apple Podcast/Spotify description (150 words, including keywords)
Xiaohongshu (Little Red Book) promotional copy (300 words, with emojis, bullet-point structure)
Weibo/Twitter one-liner traffic-driving copy (50 words or less)
3 candidate timestamps for Douyin/Video Account clips (explain why each segment is suitable for clipping)