Story Cutter Assistant
The Story Cutter Assistant helps you transform long interviews, podcasts, or raw footage into edit-ready paper cuts optimized for your target platform.
What It Does
The Story Cutter Assistant:
Analyzes transcripts to find the best soundbites
Identifies viral hooks and emotional moments
Organizes content by proven story structures
Provides verbatim quotes with exact timestamps
Optimizes for platform (TikTok, YouTube, Instagram, etc.)
Tutorials
How to Use
Step 1: Start the Assistant
Click the Story Cutter Assistant conversation starter
Or start a new chat and type "help me cut a story"
Step 2: Upload Your Transcript
Option A: Export from Premiere Pro
In Premiere Pro, select your sequence or clips
Go to Text → Three dots → Export transcript to text file
Save as
.txtfileUpload to Chat Video Pro
Option B: Upload Existing Transcript
Drag & drop any
.txtfile with timestampsOr use the file upload button (📎)
Transcript Format: The Story Cutter works best with transcripts that include:
Timestamps (HH:MM:SS:FF format preferred)
Speaker labels (optional but helpful)
Full dialogue (not summaries)
Example format:
Step 3: Answer Setup Questions
The AI will ask you:
What platform are you targeting?
TikTok/Reels/Shorts (≤60 seconds)
YouTube Shorts (60-90 seconds)
YouTube Long-form (2-10 minutes)
Instagram Reels
Documentary/Tutorial (4+ minutes)
What's your target length?
Specific duration (e.g., "60 seconds")
Range (e.g., "2-3 minutes")
What's the style/tone?
Energetic and fast-paced
Calm and educational
Emotional and personal
Professional and authoritative
What topics should we focus on?
Key themes or messages
Specific moments to highlight
Story arc elements
Step 4: Review the Paper Cut
You'll receive:
Verbatim quotes (exact transcript text, never paraphrased)
Timestamps in
HH:MM:SS:FFformatStory structure (Hook → Payoff → Proof → CTA, etc.)
Editor notes explaining the structure choice
Example output:
Step 5: Refine (Optional)
Ask for adjustments:
"Make it shorter" or "Make it longer"
"Focus more on [topic]"
"Add more emotional moments"
"Remove the setup questions"
"Find better hooks"
Story Structures
The Story Cutter uses proven narrative structures:
Short-Form (TikTok, Reels, Shorts)
Structure: Hook → Payoff → Proof → CTA
Hook: Attention-grabbing opening (shock stat, relatable pain, promise)
Payoff: The value or solution
Proof: Evidence, results, or demonstration
CTA: Call to action (subscribe, follow, etc.)
YouTube (2-3 minutes)
Structure: Problem → Credibility → Steps → Result → CTA
Problem: The pain point or challenge
Credibility: Why you're qualified to help
Steps: The solution or process
Result: Outcome or transformation
CTA: Next step for viewer
Tutorial/Educational (4+ minutes)
Structure: Cold-Open → Context → Rising Tension → Resolution → Reflection
Cold-Open: Teaser of the solution
Context: Background and setup
Rising Tension: Challenges or complications
Resolution: How it was solved
Reflection: Key takeaways
Documentary
Structure: Three-Act or Hero's Journey
Act 1: Setup and inciting incident
Act 2: Confrontation and obstacles
Act 3: Resolution and transformation
Soundbite Quality Criteria
The Story Cutter prioritizes:
Complete thoughts - Full sentences, not fragments
Speaker responses - Never interviewer questions
Emotional impact - Passion, excitement, breakthrough moments
Specificity - Numbers, names, concrete details
Surprise factor - Counterintuitive or unexpected statements
Relatability - Universal struggles or desires
Authority - Expertise, experience, credentials
Story elements - Problem/solution, before/after, cause/effect
Advanced Features
Platform-Specific Optimization
The Story Cutter automatically:
Adjusts soundbite length based on platform
Selects appropriate structure for content type
Finds platform-specific hooks (TikTok trends, YouTube patterns)
Viral Hook Detection
Automatically scans for:
Shock stats ("We spent $100,000...")
Relatable pain ("I was frustrated because...")
Promise/payoff ("Here's what changed everything...")
Authority ("In my 20 years of...")
Emotional peaks (excitement, frustration, breakthroughs)
Contrarian takes ("Everyone thinks X, but actually...")
Story pivots ("And then everything changed...")
Anti-Interviewer Filtering
Never includes:
❌ "So tell me about..."
❌ "What do you think about..."
❌ "How did you feel..."
❌ Generic setup questions
Always includes:
✅ Actual answers and responses
✅ Complete thoughts
✅ Valuable content
Tips for Best Results
Use Premiere Pro transcripts - They include frame-accurate timestamps
Be specific about platform - Different platforms need different structures
Mention key topics - Helps the AI focus on relevant content
Iterate - Ask for refinements until perfect
Review timestamps - Verify they match your source material
Common Use Cases
Podcast to Reel: Turn 60-minute podcast into 60-second viral clip
Interview to YouTube: Extract key moments for long-form content
Tutorial editing: Find the best teaching moments from raw footage
Documentary cutting: Organize interviews into narrative structure
Social media content: Create multiple cuts from one interview
Troubleshooting
"No good soundbites found"
Check transcript quality - Ensure it has timestamps and full dialogue
Adjust target length - May be too short for available content
Try different structure - Some content works better with different formats
"Timestamps don't match"
Make sure you have a dedicated soundbite timeline
Verify source format - Premiere Pro exports are most accurate
Check frame rate - Ensure transcript matches your sequence settings
Manual adjustment - Timestamps are guides; verify in Premiere Pro
"Too many interviewer questions"
Request refinement: "Remove all interviewer questions"
Upload cleaner transcript - Some exports include only speaker responses
Next: Learn about the Color Grade Assistant for professional color correction.
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