Use AI to research topics, generate episode ideas, and create outlines.
## Topic Research with AI
### Trend Analysis ``` AI Research Workflow: 1. Topic Input: "AI in healthcare" 2. AI analyzes: ├── Recent news articles ├── Academic publications ├── Social media trends ├── Competitor podcast episodes └── Search volume data
- Output:
- ├── Top 10 trending subtopics
- ├── Underexplored angles
- ├── Expert voices to interview
- └── Audience questions from forums
- ```
### Episode Outline Generation
```markdown Prompt: "Create an episode outline about AI replacing jobs"
AI Output: # Episode 142: Will AI Take Your Job? The Reality Check
## Hook (2 min) - Startling statistic about job displacement predictions - Counter with jobs AI has created
## Segment 1: The Hype vs Reality (8 min) - Jobs most at risk (with data) - Jobs least at risk (and why) - Historical parallels: Industrial Revolution
## Segment 2: Expert Interview Setup (12 min) - Suggested questions for economist guest - Follow-up prompts based on likely answers
## Segment 3: Listener Q&A (10 min) - AI-suggested common questions from your audience
## Conclusion & CTA (3 min) - Key takeaways summary - Episode-specific call to action ```
## Guest Research ```python # AI-powered guest preparation def prepare_guest_research(guest_name, topic): research = { "bio_summary": summarize_career(guest_name), "recent_work": find_recent_publications(guest_name), "past_interviews": analyze_past_appearances(guest_name), "unique_angles": find_unexplored_topics(guest_name, topic), "suggested_questions": generate_questions(guest_name, topic), "potential_controversies": identify_sensitive_topics(guest_name) } return research ```