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AI Podcast Production Workflow

Transform written content into engaging audio podcasts using AI tools like NotebookLM.

Human Role: Content curation, guest selection, quality review AI Role: Research synthesis, audio generation, editing Spectrum: AI-Assisted


Overview

AttributeValue
PurposeCreate audio content from existing written assets
TriggerNew pillar content published, content repurposing cycle
FrequencyWeekly or per major content piece
Duration1-2 hours per episode
OwnerContent Lead / Marketing
OutputPublished podcast episode with show notes

Prerequisites

Tools Required

ToolPurposeAccess
AI Research ToolDeep research on topicOpenAI, DeepSeek
Google NotebookLMAudio podcast generationFree
Google DocsSource document storageFree
Podcast hostDistributionSpotify, Apple
Audio editorPost-production (optional)Descript, Audacity

Knowledge Requirements

  • Understanding of target audience interests
  • Basic audio quality standards
  • Content curation skills
  • Platform distribution requirements

Inputs

What you need before starting:

InputSourceRequired?
Source contentWritten articles, docs
Topic focusContent strategy
Target audienceICP definition
Distribution channelsPlatform accounts

Upstream Dependencies

Upstream WorkflowWhat It ProvidesLink
Content StrategyTopics worth coveringArticle Copywriting
ICP DefinitionWho we're creating forICP

Process

Phase 1: Research & Preparation

Duration: 30-45 minutes Responsibility: Human-led, AI-assisted

Step 1.1: Select Topic & Gather Sources

  • Choose topic aligned with content strategy
  • Identify 2-3 high-quality source documents
  • Ensure sources provide comprehensive coverage

Step 1.2: Deep Research (Optional Enhancement)

For topics needing more depth, use AI research tools:

Recommended Tools:

  • OpenAI — Deep research capabilities
  • DeepSeek — Deep thinking analysis
  • Gemini Flash 2.0 — Fast synthesis

Research Prompt Template:

Conduct in-depth research on [INSERT TOPIC] and present the findings in the following structured format:

1. Introduction to [INSERT TOPIC]
- Overview of fundamental concepts and real-world applications
- Key terms and principles
- Significance in the field

2. Current Knowledge Level & Learning Path
- Steps to progress from [Insert Level] to expert
- Key skills and frameworks required
- Common challenges and misconceptions

3. Case Studies & Real-World Examples
- Multiple case studies from the past five years
- Breakdown of why these examples succeeded
- Quantitative analysis and lessons learned

4. Current Trends & Potential Opportunities
- Analysis of present landscape
- Emerging opportunities with data-driven reasoning
- Key trends, innovations, and risks

5. Key Takeaways & Mastery Guide
- Critical insights and best practices
- Actionable steps for continued learning
- Common pitfalls to avoid

Phase 1 Output: Research document in Google Docs


Phase 2: Audio Generation

Duration: 15-30 minutes Responsibility: AI-led, Human oversight

Step 2.1: NotebookLM Setup

  1. Go to NotebookLM
  2. Create new notebook for the episode
  3. Add Google Doc(s) as sources
  4. Allow processing to complete

Step 2.2: Generate Audio Overview

  • Click "Audio Overview" in NotebookLM
  • Wait for podcast generation (5-10 minutes)
  • Preview generated audio
  • Download if quality meets standards

Step 2.3: Quality Check

CriterionTargetCheck
Audio clarityNo artifacts
Content accuracyMatches sources
EngagementNatural conversation
Length10-30 minutes
No hallucinationsVerified facts

Phase 2 Output: Raw podcast audio file


Phase 3: Post-Production

Duration: 15-30 minutes Responsibility: Human quality control

Step 3.1: Audio Editing (If Needed)

  • Trim intro/outro if too long
  • Remove any awkward pauses
  • Add branded intro/outro music
  • Normalize audio levels
  • Export in required format (MP3, 128-192kbps)

Step 3.2: Create Show Notes

## Episode Title: [Topic]

**Duration:** [X] minutes
**Published:** [Date]

### Summary

[2-3 sentence overview]

### Key Topics

- [Topic 1]
- [Topic 2]
- [Topic 3]

### Resources Mentioned

- [Link 1]
- [Link 2]

### Timestamps

- 00:00 Introduction
- [XX:XX] [Section]
- [XX:XX] [Section]

Phase 3 Output: Final audio file + show notes


Phase 4: Distribution

Duration: 15-20 minutes Responsibility: AI-assisted scheduling

Step 4.1: Platform Publishing

  • Upload to podcast host (Spotify, Apple, etc.)
  • Add episode metadata (title, description, tags)
  • Set publication date/time
  • Submit to directories if new show

Step 4.2: Cross-Promotion

  • Create audiogram clips for social media
  • Write LinkedIn/Twitter announcement
  • Add to website/blog
  • Include in email newsletter

Phase 4 Output: Published and promoted episode


Outputs

OutputFormatDestination
Podcast audioMP3Podcast platforms
Show notesMarkdownWebsite, CMS
Social clipsVideo/AudioSocial media
Episode pageWeb pageWebsite

Downstream Consumers

Downstream WorkflowWhat It NeedsLink
Social MediaClips, quotesSocial Media
Content RepurposingAudio for atomization
Email CampaignsEpisode announcement

Success Criteria

Quality Metrics

MetricTargetMeasurement
Audio qualityNo artifactsManual review
Content accuracy100% verifiedSource check
Episode length10-30 minutesTimer
Show notes completeAll sectionsChecklist

Performance Metrics

MetricTargetTimeframe
Downloads per episode+10% MoMMonthly
Listener retention>50% completionPer episode
Subscriber growth+5% per monthMonthly
Cross-platform engagement2x audio reachPer episode

Failure Modes & Solutions

FailureSymptomSolution
AI hallucinationsInaccurate claimsVerify against sources, use quality sources
Robotic deliveryUnengaging audioTry different source formatting
Too long/shortPoor retentionEdit ruthlessly, target 15-20 min
Poor audio qualityListener complaintsCheck source doc formatting
No distributionZero downloadsAutomate to multiple platforms

NotebookLM Tips

For better audio output:

  • Use well-structured documents with clear headings
  • Include examples and stories (AI presents these engagingly)
  • Avoid dense technical jargon
  • Multiple shorter sources often better than one long one
  • Update sources and regenerate for improved versions

Context


Resources


Changelog

DateChangeReason
2024-12Upgraded to workflow templateStandardize with inputs/outputs