Build a Video Chat Agent
Transform any YouTube video into an interactive chat experience. Extract key insights, get specific quotes, and analyze lengthy content in seconds instead of hours. Perfect for conferences, tutorials, podcasts, and educational content.
Build Time: 8 minutes Template: TG YouTube Summarizer Use Case: Chat with any video content for instant insights
Build a Video Chat Agent: Never Miss Conference Alpha Again
Overview
Transform any YouTube video into an interactive chat experience. Extract key insights, get specific quotes, and analyze lengthy content in seconds instead of hours. Perfect for conferences, tutorials, podcasts, and educational content.
Build Time: 8 minutes Template: TG YouTube Summarizer Use Case: Chat with any video content for instant insights
What You'll Build
Your agent will:
✅ Accept YouTube video URLs via Telegram
✅ Analyze video content using AI
✅ Answer specific questions about the video
✅ Provide exact quotes and timestamps
✅ Extract key insights and summaries
✅ Handle multiple simultaneous conversations
Perfect for: Researchers, traders looking for alpha, students, professionals who consume video content regularly
Prerequisites
Before you start, you'll need:
Telegram Bot Token
Message @BotFather on Telegram
Create a new bot with
/newbot
Save your bot token
Gemini API Key
Visit Google AI Studio
Generate a new API key
Keep it secure
Skynet Access
Join the waitlist at skynetxbt.ai
Get your builder account approved
Step-by-Step Build Guide
Step 1: Access the Template
Open Skynet Marketplace
Navigate to the Skynet platform
Click on "Marketplace" in the sidebar
Find the Template
Search for "TG YouTube Summarizer"
Click "Duplicate" to copy to your workspace
Step 2: Configure Components
Your template includes these pre-configured components:
Input Node: Telegram Receiver
Receives messages from your Telegram bot
Processing Node: Gemini AI Integration
Analyzes video content
Processes natural language questions
Generates intelligent responses
Output Node: Telegram Sender
Sends responses back to user
Supports markdown formatting
Step 3: Add Your Credentials
Configure Telegram
Click on the Telegram input node
Paste your bot token in the "Bot Token" field
Setup Gemini API
Click on the processing node
Enter your Gemini API key
Configure model parameters (defaults work well)
Step 4: Test Your Setup
Add Test Video
Paste any YouTube URL in the "Default Video URL" field
We recommend starting with a shorter video (5-10 minutes)
Deploy Agent
Click "Deploy" button
Name your agent (e.g., "Conference Alpha Hunter")
Set duration (12+ hours recommended)
Wait for deployment completion
Step 5: Connect to Telegram
Activate Your Bot
Find your bot on Telegram using the username you created
Click "Start" to begin conversation
Test Basic Functionality
Ask a simple question about the video
Wait for AI analysis (usually 30-60 seconds)
Pro Tips & Best Practices
For Conference Analysis
Ask specific questions: "What partnerships were announced?"
Request exact quotes: "What did the CEO say about token launch?"
Get statistics: "What growth numbers were mentioned?"
For Educational Content
Request summaries: "What are the main learning objectives?"
Ask for examples: "Can you give me practical applications?"
Get action items: "What should I implement first?"
For Research
Extract methodology: "How was this study conducted?"
Get conclusions: "What were the key findings?"
Find limitations: "What are the study limitations?"
Performance Optimization
Shorter videos (< 30 minutes) analyze faster
Clear questions get better responses
Specific queries yield more actionable insights
Multiple shorter questions work better than one complex query
Troubleshooting
Common Issues
Bot not responding?
Check bot token is correct
Verify agent is active in deployment status
Ensure Telegram bot is started
Analysis taking too long?
Videos over 60 minutes may take 2-3 minutes
Complex questions require more processing time
Try breaking down complex queries
Poor response quality?
Use more specific questions
Provide context in your query
Try rephrasing unclear requests
Error Messages
"Video not accessible" - Check if video is public
"Analysis failed" - Video may be too long or complex
"Rate limit exceeded" - Wait a few minutes between requests
Use Case Examples
Trading & Crypto
"What alpha was mentioned about Base ecosystem?"
"Are there any partnership announcements?"
"What are the key dates mentioned?"
Business & Strategy
"What are the main strategic priorities?"
"What competitive advantages were discussed?"
"What are the growth projections?"
Education & Learning
"Can you summarize the key concepts?"
"What are the practical applications?"
"What examples were provided?"
Scaling Your Agent
Template Sharing
Once your agent is working perfectly:
Save as custom template
Share with community
Iterate based on feedback
Community & Support
Need Help?
Join Skynet Telegram community
Share screenshots of issues
Ask specific technical questions
Want to Share?
Post your successful builds
Share interesting use cases
Help other builders learn
Ready to Scale?
Explore advanced MCP integrations
Connect to additional platforms
Build agent coordination workflows
What's Next?
After building your video chat agent:
Deploy and Test - Start with personal use cases
Gather Feedback - Share with friends/colleagues
Iterate and Improve - Based on real usage
Scale and Monetize - Turn into a service
Build Agent Networks - Connect multiple agents
Time to build: 8 minutes Time to master: Unlimited possibilities
Ready to never miss video insights again?
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