Flynapse AI Demo Script - Product in Action Section
Product in Action (60-90 seconds)
Visual Elements
- Screen recording: Live demonstration of the MRO Co-Pilot interface
- Split screen: Show both the chat interface and document viewer
- Highlight: Key features and interactions with specific screenshots
Script
“Watch how Flynapse AI transforms aviation operations. Instead of searching through 35,000-page AMMs, engineers simply ask questions in plain English. ‘Show me thrust reverser removal procedure’ The AI instantly searches through all relevant documents and presents the most accurate procedures with specific page references. Here’s what makes it powerful: Engineers can filter by document type - AMMs, Service Bulletins, Airworthiness Directives, or Illustrated Parts Catalogs. They can specify aircraft types - currently Boeing 737, with more aircraft types coming soon. The AI understands aviation terminology and context, so it knows exactly what you’re looking for. When you get results, you can select specific documents to view them directly. The AI opens the document to the exact page with the relevant procedure highlighted. You can add comments - both public for your team and private for personal notes. This creates a knowledge layer where everyone can see shared insights and build collective expertise. The system learns from your team’s feedback and improves over time. Every interaction makes it smarter and more accurate for your specific maintenance procedures. This eliminates the need to navigate through bulky documents - users interact directly with a chat-based layer that provides consistent answers and enables public notes on document sections, making them visible to everyone.”Key Features to Demonstrate
- Natural language queries (show actual question being typed)
- Document filtering (demonstrate AMM/SB/AD/IPC filters)
- Aircraft type filtering (show Boeing 737, with more coming soon)
- Document selection and viewing (select specific documents to view)
- Document viewer integration (click to open, show page highlighting)
- Comments system (public and private comments)
- AI learning (mention feedback and improvement)
Timing Breakdown
- 0-3 seconds: Login page with Flynapse branding
- 3-10 seconds: Pilot Co-Pilot dashboard with filters
- 10-20 seconds: Natural language query demonstration
- 20-30 seconds: AI response with document cards
- 30-40 seconds: Document filtering (Boeing 737)
- 40-50 seconds: Document selection and viewing
- 50-65 seconds: Document viewer with page highlighting
- 65-80 seconds: Comments system (public and private)
- 80-90 seconds: Wrap up with key benefits
Screenshots to Capture
Screenshot 1: Login Page (0-3 seconds)
- When: During introduction
- What: Clean login interface with Flynapse branding
- Purpose: Show professional, secure access
- Script Lines: “Watch how Flynapse AI transforms aviation operations.”
Screenshot 2: Pilot Co-Pilot Dashboard (3-10 seconds)
- When: After login, showing main interface
- What: Chat interface with filters (AMM, SB, AD, IPC) and aircraft type filters (Boeing 737)
- Purpose: Demonstrate clean, intuitive interface
- Script Lines: “Instead of searching through 35,000-page AMMs, engineers simply ask questions in plain English.”
Screenshot 3: Natural Language Query (10-20 seconds)
- When: User types question
- What: “Show me thrust reverser removal procedure” being typed
- Purpose: Show ease of asking questions in plain English
- Script Lines: “‘Show me thrust reverser removal procedure’ The AI instantly searches through all relevant documents”
Screenshot 4: AI Response with Document Cards (20-30 seconds)
- When: AI returns results
- What: Multiple document cards with titles, snippets, page references, and tags
- Purpose: Show intelligent document matching and organization
- Script Lines: “and presents the most accurate procedures with specific page references.”
Screenshot 5: Document Filtering (30-40 seconds)
- When: Applying filters
- What: Filtering by document type (AMM, SB) and aircraft type (Boeing 737)
- Purpose: Demonstrate precise filtering capabilities
- Script Lines: “Engineers can filter by document type - AMMs, Service Bulletins, Airworthiness Directives, or Illustrated Parts Catalogs. They can specify aircraft types - currently Boeing 737, with more aircraft types coming soon.”
Screenshot 6: Document Selection and Viewing (40-50 seconds)
- When: Selecting specific documents
- What: Selected document highlighted, clicking to view
- Purpose: Show document selection and direct viewing
- Script Lines: “When you get results, you can select specific documents to view them directly.”
Screenshot 7: Document Viewer (50-65 seconds)
- When: Opening a document
- What: PDF viewer with relevant page highlighted, table of contents
- Purpose: Show direct access to specific pages with context
- Script Lines: “The AI opens the document to the exact page with the relevant procedure highlighted.”
Screenshot 8: Comments System (65-80 seconds)
- When: Adding comments
- What: Comment interface showing public and private options
- Purpose: Demonstrate knowledge sharing and team features
- Script Lines: “You can add comments - both public for your team and private for personal notes. This creates a knowledge layer where everyone can see shared insights and build collective expertise.”
Screenshot 9: Wrap Up (80-90 seconds)
- When: Final summary
- What: System overview with key benefits highlighted
- Purpose: Reinforce value proposition
- Script Lines: “The system learns from your team’s feedback and improves over time. Every interaction makes it smarter and more accurate for your specific maintenance procedures. This eliminates the need to navigate through bulky documents - users interact directly with a chat-based layer that provides consistent answers and enables public notes on document sections, making them visible to everyone.”
Visual Cues
- 0-15 seconds:
- Login page with Flynapse branding
- Transition to MRO Co-Pilot dashboard
- Clean, modern interface with filters visible
- 15-30 seconds:
- User typing natural language question
- AI processing and returning results
- Document cards appearing with relevant information
- 30-45 seconds:
- Applying document type and aircraft filters
- Filtered results showing precise matches
- Document selection with checkboxes
- 45-60 seconds:
- AI generating comprehensive summary
- Opening document viewer to specific page
- Page highlighting and navigation
- 60-75 seconds:
- Adding comments to documents
- Public/private comment options
- Team collaboration features
- 75-90 seconds:
- Sharing documents via email
- Feedback system and rating
- Continuous improvement indicators
Audio Guidelines
- Voice: Professional, confident, demonstrating expertise
- Pace: Clear, not rushed, allow time for features to be understood
- Background music: Subtle, professional, slightly upbeat
- Sound effects: Minimal, only when they add value (typing sounds, notification chimes)
Technical Requirements
- Resolution: 1080p minimum, 4K preferred
- Aspect ratio: 16:9 for web, 9:16 for mobile/social
- Duration: 60-90 seconds maximum
- Format: MP4 for web distribution
Alternative Script Variations
Version 1 (Concise - 60 seconds)
“Watch Flynapse AI in action. Engineers ask questions in plain English: ‘How do I remove a thrust reverser on an A320?’ The AI instantly finds relevant procedures from 35,000-page AMMs. Filter by document type and aircraft. Select multiple documents for comprehensive summaries. Open documents directly to relevant pages. Add comments for your team. Share findings via email. The AI learns from feedback and improves continuously.”Version 2 (Detailed - 90 seconds)
“Watch how Flynapse AI transforms aviation operations. Instead of searching through 35,000-page AMMs, engineers simply ask questions in plain English. ‘How do I remove a thrust reverser on an A320?’ The AI instantly searches through all relevant documents and presents the most accurate procedures with specific page references. Here’s what makes it powerful: Engineers can filter by document type - AMMs, Service Bulletins, Airworthiness Directives, or Illustrated Parts Catalogs. They can specify aircraft types - A320, B737, A350, or B787. The AI understands aviation terminology and context, so it knows exactly what you’re looking for. When you get results, you can select multiple documents and ask for a comprehensive summary. The AI analyzes all selected documents and provides step-by-step procedures with safety warnings highlighted. You can open any document directly to the relevant page, add comments for your team, and share findings via email. The system learns from your team’s feedback and improves over time. Every interaction makes it smarter and more accurate for your specific maintenance procedures. This eliminates the need to navigate through bulky documents - users interact directly with a chat-based layer that provides consistent answers and enables public notes on document sections, making them visible to everyone.”Version 3 (Feature-Focused - 75 seconds)
“Flynapse AI revolutionizes how aviation teams access information. Ask questions in plain English and get instant answers from massive technical documentation. Filter by document type and aircraft. Generate comprehensive summaries from multiple sources. Access documents directly to relevant pages. Collaborate with your team through comments and sharing. The AI continuously learns and improves, providing consistent answers and building organizational knowledge.”Production Notes
- Screen recording: High-quality, smooth transitions
- Highlighting: Use cursor highlights and callouts for key features
- Transitions: Smooth, professional effects between screenshots
- Branding: Consistent Flynapse colors and styling
- Emotional tone: Confident, demonstrating clear value
Call-to-Action Preparation
- End with: Clear demonstration of value and benefits
- Transition: Smooth lead-in to Differentiators section
- Hook: Create excitement about the solution
- Credibility: Establish technical expertise and innovation
This Product in Action section demonstrates the core functionality of Flynapse AI through live interaction, showing how it solves the document overhead and operational challenges identified in the Context section.