I’ve been following OpenAI’s developments closely, and their latest release is genuinely significant: ChatGPT can now see your screen in real time. As someone leading AI integration for SMBs at Jaydus AI, I immediately recognized the practical implications of this advancement.
⏰ Perfect Timing
Just last week, we were discussing how screen sharing capability would streamline our workflow like never before and was the final piece missing to be fully independent of having to write to customer support. We’ve already reduced our support requests by 70% through AI implementation over the past six months.
💡 Why This Matters
For businesses spending most of their day in various applications and platforms, having AI that can observe and assist in real-time isn’t just convenient – it’s transformative for productivity. Our team often resolves technical issues faster using AI than traditional support channels, and this visual capability should take productivity to a whole new level.
🔍 What’s New?
ChatGPT can now see what you see! This real-time screen sharing means the AI can observe issues as they unfold and provide immediate, tailored solutions. No more tedious screenshots or long-winded explanations—the AI experiences the issue right alongside you.
🎯 Key Benefits:
- Real-time Visual Context: AI can now observe problems directly
- Immediate Feedback Loop: Get instant corrections or suggestions
- Enhanced Accuracy: Visual confirmation means more precise solutions
💪 Our Experience
At Jaydus AI, we’ve integrated AI into our workflow for:
- Code troubleshooting
- Technical documentation
- Web searches
- Problem-solving
We’re now successfully resolving over 90% of technical issues that come up with our clients’ websites. What used to take hours or days to identify, isolate, fix, and test, we’re now resolving in under an hour – often in minutes.
🔮 The Future of Support
This development marks a significant evolution in technical support:
- Reduced Dependency on Human Support
- Faster Resolution Times
- 24/7 Expert-Level Support
- Significant Cost Reduction
💼 Business Impact
- Lower Support Costs
- Quicker Problem Resolution
- Empowered Users
- Streamlined Training
- Enhanced Productivity
🌟 Real-World Applications:
- Software Issues: AI spots workflow inefficiencies in real-time
- Configuration Problems: Visual guidance through complex setups
- Bug Reporting: Real-time observation and documentation
- Training: Visual demonstrations with immediate AI feedback
⚡ Looking Ahead
As AI continues to evolve, we’re moving toward a future where:
- AI becomes the first line of technical support
- Human support focuses on strategic issues
- Users become more self-sufficient
- Support systems become proactive rather than reactive
🎯 Final Thoughts
The ability to show rather than tell will revolutionize how we work with teams and technical systems. We don’t shy away from any challenge today and happily accept opportunities to showcase how we use AI to tackle web or technology integration challenges.
Even if you choose to outsource, you’ll now be able to understand problems and know exactly what needs to be done before hiring someone to fix or build something for you.
