Fast Insight: Podcast-First Automation

One-line summary: From research need to podcast content, end-to-end automation completed in hours.

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Why Fast Insight?

Three Pain Points in Content Creation

1. Too Slow to Catch Trends

• Traditional research takes 3-5 days after a trend emerges
• By the time you produce content, the trend has passed
• Traffic dividends captured by other creators

2. Difficult to Sustain Series Content

• Weekly podcast requires massive preparation time
• Research, scripting, recording - at least 2 days per episode
• Hard to maintain publishing rhythm

3. High Labor Costs

• Hiring researchers: $5,000-8,000/month
• Outsourcing single podcast: $2,000-5,000/episode
• Small teams and individual creators can't afford it

Fast Insight's Solution

Fully Automated Research-to-Podcast Pipeline:

Core Value:

• 3-5 hours from need to podcast script (vs traditional 3-5 days)
• Zero manual intervention, fully automated
• 90% cost reduction (subscription vs outsourcing/hiring)
• Maintain publishing rhythm, suitable for series content production

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Fast Insight vs Regular Research

In-Depth Comparison

Core Difference: Research Methods

Fast Insight - Fast Information Aggregation:

• Quickly obtain insights through web search + X search + AI reasoning
• Suitable for time-sensitive topics (e.g., breaking news, hot events)
• No need to understand users' deep motivations and emotions

Study Agent - Deep User Research:

• Conduct in-depth interviews through AI Persona simulating real humans
• Suitable for research that needs to understand "why" (e.g., purchase motivation, pain point analysis)
• Can conduct group discussions and social media observation

When to Use Fast Insight?

✅ Choose Fast Insight:

1. Catch trends: Need to produce content within 24-48 hours
2. Series podcasts: Weekly episodes, need continuous output
3. Limited budget: Individual creators or small teams
4. Podcast priority: Podcast is the main output format
5. Sufficient secondary info: Enough information on the web, no need for first-hand research

❌ Don't Use Fast Insight (Use Regular Research):

1. Need deep insights: Product decisions, strategic planning
2. Need first-hand info: User interviews, market validation
3. Complex research: Multi-dimensional, multi-method comprehensive research
4. Unique perspectives: Need to produce original insights through Interview/Discussion
5. Long-term projects: Research cycle over 1 week

Combined Usage Strategy

Fast Insight Leads → Regular Research Deepens:

Real Case:

Need: Develop "Emotional Snacks" product

Week 1: Fast Insight

• 3 hours to understand emotional food track
• Identify 5 opportunity directions

Week 2-3: Regular Research

• Interview 20 target users
• Discussion test 3 product concepts
• Scout observe social media discussions

Results:

• Found best product direction
• Avoided working in a vacuum
• Saved 50% research time (vs pure regular research)

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Fast Insight's Workflow

Fast Insight adopts a 5-stage linear process, each stage with clear goals to ensure content quality:

Step 1: Topic Understanding (30 minutes)

AI Auto-Analyzes Requirements:

• Quickly collect background information on research topic
• Identify key concepts and latest developments
• Lay foundation for subsequent research

Example:

Need: "Impact of AIGC tools on graphic design industry"

AI Topic Understanding:

• Search latest AIGC design tools (Midjourney, Stable Diffusion, Adobe Firefly)
• Identify key trends: efficiency improvement, workflow changes, skill transformation
• Collect industry reactions and preliminary data

Step 2: Podcast Planning (30 minutes)

AI Auto-Plans Research and Content Strategy:

• Plan podcast theme and core viewpoints
• Design chapter structure and key content
• Determine list of issues requiring deep research
• Develop information sources and search keyword strategy

Example:

Podcast Planning Output:

• Podcast theme: How AIGC changes designers' work methods
• Core viewpoint: Not replacement, but shift in work focus
• Chapter structure:
  1. Opening: Designers' anxiety (1 min)
  2. Tool introduction: Three mainstream AIGC tools (5 mins)
  3. Case analysis: Real designers' workflow changes (7 mins)
  4. Recommendations: How designers adapt (2 mins)
• Deep research questions:
  • Specific capabilities and limitations of Midjourney V6?
  • Real data on designer efficiency improvement?
  • Which design skills become more important?

Step 3: Deep Research (2-3 hours)

Multi-Source Information Collection and Intelligent Analysis:

• Web search for latest news and data
• X (Twitter) search for social media hot topics
• Collect industry reports and technical documents
• Analyze cases and real user feedback
• AI reasoning summarizes key insights and trends

Research Content Example:

Step 4: Podcast Generation (Automatic)

Generate Complete Podcast Script and Structured Report:

• Podcast Format: Two-person dialogue (host + guest)
• Duration: 15-20 minutes
• Style: Natural conversation, not script reading
• Structure: Opening → Core Content → Cases → Summary

Script Example:

Simultaneously Generate Structured Report:

Step 5: Research Completion (Optional Deep Report)

Guide users to access generated podcast content. If users explicitly need deeper structured analysis, can generate high-information-density quick-read reports to supplement data and analysis not detailed in podcast content.

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5 Typical Use Cases

Case 1: Catching Trending Content (Most Common)

Real Example: "Impact of OpenAI Sora video generation on film industry"

Background:

• Within 24 hours of Sora release, full internet discussing
• Content creators need to quickly produce viewpoints and analysis
• Traditional research process too slow

Fast Insight Process:

1. 2 PM: Input need "Sora's impact on film industry"
2. AI Auto-Planning:
   • Search Sora technical details
   • Analyze impact on directors, producers, VFX
   • Research industry reactions and cases
3. AI Auto-Execution (3-4 hours):
   • Search 20+ information sources
   • Analyze technical capabilities and limitations
   • Generate 6000-word report
   • Generate 18-minute podcast script
4. 7 PM: Content production complete
5. 8 PM: TTS generate audio, publish to podcast platform

Results:

• Produce content within 24 hours of trend
• 5000+ plays (vs few hundred plays when published a week later)
• Time: 5 hours (vs traditional 3-5 days)

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Case 2: Series Podcast Production

Real Example: "Weekly AI Insights" podcast series

Need:

• One episode per week, sustain for 6 months
• Analyze latest AI industry developments
• Maintain content quality and publishing rhythm

Traditional Method's Dilemma:

• Each episode needs 2-3 days preparation
• Researcher + writer + host, high team cost
• Hard to sustain for 6 months

Fast Insight Solution:

• Monday morning: Determine this week's theme
• AI auto-output: Monday afternoon complete report and script
• Tuesday recording: Record audio based on script
• Wednesday publish: Edit, add music, publish

Results:

• Successfully produced 26 episodes
• Average production time per episode: 1 day (vs traditional 3-5 days)
• 80% cost reduction
• Fan growth: 0 → 8000+

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Case 3: Audible Research Reports for Clients

Real Example: Consulting company's "Gen Z Consumer Insights" project

Client Need:

• Traditional PPT reports, clients unwilling to read
• Want to provide audible content
• 50-page PPT vs 20-minute podcast

Fast Insight Output:

1. Markdown Report:
   • 5000-word structured content
   • Data charts and cases
   • Can convert to PDF/PPT
2. Podcast Script:
   • 20-minute dialogue format
   • Host guidance + guest analysis
   • Can directly generate audio

Client Feedback:

• "Finally a report I can listen to during commute"
• "Easier to absorb than 50-page PPT"
• Report reading/listening rate: 30% → 85%

Consulting Company Value:

• Differentiated services
• Improved client satisfaction
• Reduced report production cost (less time beautifying PPT)

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Case 4: Individual Creator's Knowledge Products

Real Example: Independent creator "Tech Business Observer"

Background:

• Full-time job + side hustle creation
• Want to do podcast series but limited time
• Tight budget, can't outsource

Fast Insight Usage Method:

• Weekend 2 hours:
  • Determine 1-2 themes
  • Launch Fast Insight auto-research
  • Get script Sunday afternoon
• Sunday evening 1 hour:
  • Record audio based on script
  • Auto-edit with Descript
• Monday publish

Results (6 months):

• Produced 24 podcast episodes
• Total plays 50,000+
• Knowledge community members: 0 → 200 people ($20/month)
• Monthly income: $0 → $4,000
• Investment: 3 hours/week + subscription fee

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Case 5: Enterprise Content Marketing

Real Example: SaaS company's "Industry Insights" content marketing

Marketing Strategy:

• Build professional image through industry insights
• Attract potential customer attention
• Convert to product trials

Traditional Method:

• Hire content marketing team (2-3 people, $15,000/month)
• Produce 4-6 articles per month
• Long production cycle, high cost

Fast Insight + Marketing Team:

• Fast Insight: Auto-produce research and podcasts (2-3 per week)
• Marketing Team: Focus on promotion and conversion (not content production)

Results (3 months):

• Content output: 4 articles/month → 10 articles/month
• New podcasts: 0 → 12 episodes
• Website traffic: +150%
• Trial signups: +80%
• Team size: 3 people → 2 people (cost reduction + efficiency increase)

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How to Trigger Fast Insight

Fast Insight is automatically triggered through Plan Mode (intent clarification layer). When any of the following conditions are met, system automatically selects Fast Insight:

Trigger Conditions (meet any one):

• Explicitly request "podcast"/"audio content"/"audible content"
• Explicitly request "fast insight"/"quick insight"
• Time-sensitive topics (e.g., breaking news, hot events)
• User mentions "listen during commute"/"listen while doing housework" scenarios

Not Applicable Scenarios:

• Need deep user interviews or group discussions
• Need long-term tracking observation (e.g., social media observation)
• Need AI Persona to simulate real user behavior

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Deep Analysis of Podcast Quality

What's the Generated Podcast Like?

Structural Completeness:

• ✅ Opening: Naturally introduce topic
• ✅ Core content: Clear logic, progressive layers
• ✅ Case stories: Enhance listenability
• ✅ Interactive dialogue: Host questions + guest answers
• ✅ Summary recommendations: Give listeners clear takeaways

Dialogue Naturalness:

• Not "script reading", but real conversation
• Host follows up and guides
• Guest gives examples and elaborates
• Has colloquial expressions ("you know", "actually", "for example")

Usability:

• Can directly copy to TTS tools to generate audio
• Can be used as recording script, teleprompter use
• Can be fine-tuned according to personal style (delete, add)

Real Script Example

Topic: "Impact of AI code tools on programmers"

Generated Podcast Script Fragment:

Feature Analysis:

• Natural dialogue, back and forth
• Has viewpoints, cases, recommendations
• Colloquial, not written language
• Structurally complete, easy for listeners to follow

Limitations (Honest Disclosure)

⚠️ Fast Insight Podcast Limitations:

1. Not as Deep as Expert Interviews

   • Based on secondary information, not first-hand insights
   • Suitable for information integration, not unique perspective output

2. Limited Conversational Feel

   • Is simulated dialogue, not real-person improvisation
   • Lacks chemistry and pleasant surprises of real interviews

3. Insufficient Personalization (Initially)

   • First use, style may be generic
   • Need Memory System to learn your style (improves after 3-5 uses)

4. Not Suitable for Storytelling Podcasts

   • Suitable for knowledge/insight content
   • Not suitable for deep character stories, narrative podcasts

When Not to Use Fast Insight?

• Need exclusive viewpoints and insights (use Interview/Discussion)
• Brand podcasts need real guests (outsource manual recording)
• Storytelling content (need screenwriting and narrative design)

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FAQ (Complete Version)

Q1: Do Fast Insight generated podcasts need manual editing?

Depends on quality requirements:

Scenario 1: Quick Release (80% ready to use)

• Catching trends, series content
• Directly generate audio with TTS after generation
• Or quickly record based on script

Scenario 2: Premium Content (recommend fine-tuning)

• Check data accuracy
• Add personal viewpoints and cases
• Adjust tone and style
• Editing time: 30 minutes - 1 hour

Scenario 3: Brand Podcast (needs more adjustment)

• Ensure brand tone consistency
• Add brand stories and cases
• Adjust for real-person recording script
• Editing time: 1-2 hours

Conclusion: Can be used directly, but fine-tuning is better.

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Q2: Can I customize podcast style?

Yes, through Memory System:

1st Use:

• Style is generic
• AI doesn't know your preferences yet

3-5th Use:

• Memory System starts remembering your style
• Dialogue pace, word preferences, case types

10+ Use:

• AI fully adapts to your style
• Generated scripts increasingly match your tone

How to Accelerate Learning:

• Tell AI your podcast style preferences in conversation
• Example: "My podcast style is relaxed and humorous, use more internet slang"
• Memory System will remember and apply

Real Case:

A tech podcast creator, after using Fast Insight 10 times:

• AI automatically uses his catchphrases ("This is key", "Think about it carefully")
• Case style leans toward internet industry (his professional field)
• Dialogue pace is compact, fits his style

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Q3: What languages does Fast Insight support?

Currently Supported:

• Chinese (Simplified)
• English

Podcast Script Language:

• Automatically determined based on research needs
• Can manually specify language

Multi-language Cases:

• Chinese need → Chinese report + Chinese podcast
• English need → English report + English podcast

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Q4: Can generated reports and podcasts be edited?

Absolutely:

Report:

• Markdown format, can copy to any editor
• Can convert to PDF, Word, PPT
• Can add/delete content, adjust structure

Podcast Script:

• Plain text, can edit freely
• Can adjust dialogue pace and content
• Can add personal cases and viewpoints

Save and Management:

• Reports automatically saved in system
• Can view and download anytime
• Support version history

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Q5: What's the cost of Fast Insight?

Subscription Fee:

• Included in atypica.AI subscription plan
• No additional charge

vs Outsourcing Cost:

• Outsource single podcast: $2,000-5,000
• Hire researcher: $5,000-8,000/month
• Fast Insight: subscription fee (90%+ savings)

Token Consumption:

• Single Fast Insight: about 50,000-100,000 tokens (about $0.20 USD)
• Subscription plans include sufficient token quota

ROI Calculation:

• Produce 4 podcasts per month
• Outsourcing cost: $8,000-20,000/month
• Fast Insight: subscription fee ($199-499/month, depending on plan)
• Savings: $7,500-19,500/month

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Q6: Can Fast Insight be used for commercial content?

Absolutely:

Use Cases:

1. Content Marketing: Enterprise blogs, industry insights
2. Podcast Programs: Commercial podcasts, knowledge payment
3. Consulting Reports: Client research reports
4. Educational Content: Online courses, knowledge products

Copyright Statement:

• Generated content copyright belongs to user
• Can be used for commercial purposes
• Can be edited, published, sold

Commercial Cases:

• SaaS companies for content marketing
• Consulting companies for client reports
• Individual creators for knowledge community content
• Training institutions for course materials

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Q7: How does Fast Insight ensure content accuracy?

Multi-Source Information Verification:

• Collect information from multiple sources
• Cross-verify data and viewpoints
• Mark information sources

AI Analysis Mechanism:

• Identify information conflicts
• Prioritize credible sources
• Mark uncertain information

Manual Review Recommendations:

• Key data needs manual verification
• Sensitive topics need additional review
• Business reports recommend expert review

Limitation Disclosure:

• Based on publicly available web information
• Timeliness depends on information sources
• Does not replace professional consulting and research

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Q8: Fast Insight vs Manual Research, How to Choose?

Fast Insight Advantages:

• Fast speed (3-5 hours vs 3-5 days)
• Low cost (subscription vs hiring/outsourcing)
• Sustainable output (series content)

Manual Research Advantages:

• Deep insights and unique perspectives
• First-hand information collection
• Complex problem analysis

Best Practices:

1. Combined Use:

2. Scenario Division:

• Fast Insight: Catching trends, series content, exploratory research
• Manual Research: Strategic decisions, product R&D, brand positioning

3. Iterative Optimization:

• Version 1: Fast Insight quick output
• Version 2: Manual optimization based on feedback
• Version 3: Deepen with first-hand research

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Q9: Can generated podcasts be used for TTS?

Absolutely:

Recommended TTS Tools:

1. ElevenLabs:

   • Best audio quality
   • Support multi-language and emotions
   • Suitable for premium podcasts

2. OpenAI TTS:

   • Cost-effective
   • Good audio quality
   • Suitable for bulk generation

3. Azure TTS:

   • Enterprise-level stability
   • Support multi-language
   • Suitable for commercial projects

Usage Flow:

1. Fast Insight generates podcast script
2. Copy to TTS tool
3. Choose voice and style (host + guest use different voices)
4. Generate audio
5. Edit, add music, publish

Audio Quality Recommendations:

• Use high-quality TTS (ElevenLabs, etc.)
• Host and guest use different voices
• Add background music and transition effects

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Q10: How to improve Fast Insight output quality?

4 Key Techniques:

1. Clear Requirements:

• Clear theme, scope, angle
• AI can produce more precise content

2. Provide Background:

• Memory System will remember your background
• Output better matches your needs

3. Iterative Optimization:

• After first output, can request adjustments
• "Podcast script too formal, can it be more relaxed?"
• "Add more specific cases"

4. Combine Human Intelligence:

• Fast Insight outputs framework (80%)
• Manual add unique viewpoints and cases (20%)
• Achieve best quality

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Practical Recommendations

Recommendation 1: Start with Small Topics

Don't start with big topics:

• ❌ "AI's impact on human society" (too grand)
• ✅ "AI customer service's impact on e-commerce customer experience" (specific)

Benefits of Small Topics:

• Information more focused, higher quality
• Easier to produce unique viewpoints
• Listeners easier to understand and apply

Recommendation 2: Build Series Content

Power of Series:

• Single episode podcast: Attract → Lose
• Series podcast: Attract → Retain → Fans

Fast Insight Especially Suitable for Series:

• Fast continuous output
• Maintain publishing rhythm
• Controllable costs

Series Design Example:

Recommendation 3: Fast Insight + Real Interview Mix

Best Practice:

• Fast Insight Foundation (70%): Quickly build content framework
• Real Interview Supplement (30%): Add unique viewpoints and stories

Operation Method:

1. Fast Insight generates podcast script
2. Invite real guest to record
3. Expand free conversation based on script
4. Keep script framework, add real-person chemistry

Effect:

• Efficiency: Save 70% preparation time
• Quality: Retain natural feel of real conversation
• Cost: Reduce guest preparation burden

Recommendation 4: Utilize Memory System to Optimize Style

Better with More Use:

• 1-3 times: Generic style
• 4-10 times: Start adapting to your style
• 10+ times: Fully personalized

Accelerate Memory Learning:

• Explicitly tell AI your preferences
• Timely feedback on adjustment direction
• Maintain research theme coherence

Recommendation 5: Build Content Reuse System

One Research, Multiple Uses:

Real Case:

A creator's content reuse:

1. Fast Insight generates "AI tools' impact on designers"
2. Podcast published to podcast platforms
3. Report rewritten as blog article
4. Extract 10 viewpoints published to social media
5. Key data made into infographics published to visual platforms
6. Core insights filmed as short videos

1 Research → 6 Content Forms → Cover 6 Platforms

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Summary

Fast Insight's Core Value

Speed Revolution:

• 3-5 hours from need to podcast (vs traditional 3-5 days)
• Catching trends no longer miss traffic dividends
• Series content sustainable output

Cost Revolution:

• 90% reduction in content production cost
• Individual creators can produce professional content
• Small teams achieve scaled content production

Quality Guarantee:

• Structurally complete research report (5000+ words)
• Natural and smooth podcast script (15-20 minutes)
• Ready for TTS or manual recording

When to Use Fast Insight?

✅ Best Suitable Scenarios:

1. Catching trending content (24-48 hour output)
2. Series podcast production (continuous output)
3. Content marketing (scaled production)
4. Individual creators (limited budget)
5. Client reports (audible format)

❌ Not Suitable Scenarios:

1. Need deep insights (use regular research)
2. Product decisions (need first-hand research)
3. Brand strategy (need expert consulting)
4. Story content (need narrative design)

Best Practices

Combination Punch:

Continuous Optimization:

• Utilize Memory System to learn your style
• Build series content to improve efficiency
• One research multiple reuses
• Fast Insight foundation + manual enhancement

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Get Started: Choose a topic you care about, launch your first Fast Insight!

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Document Version: v2.1 | 2026-01-17 | User Perspective + Workflow Details