For six consecutive days, AGIBOT G2 humanoid robots worked under real factory conditions, inside a live production workflow, alongside equipment and human operators. The results: 📊 64 hours of operation 🤖 64,828 robot tasks completed ✅ 99.99% success rate The milestone didn't stop there. AGIBOT's 15,000th robot to roll off the production line was also a G2, delivered to Longcheer Technology — further demonstrating how scaled manufacturing is enabling real-world deployment. Not a lab demo. A real deployment, on a real production line. Thank you to everyone who joined the livestream and followed the journey. From scaled production to real-world deployment, the journey continues. #AGIBOTLive #AGIBOT #HumanoidRobots #EmbodiedAI #Manufacturing #Automation

15,000 robots — and today AGIBOT handed that 15,000th AGIBOT G2 to Longcheer on the ceremony floor. The six-day livestream is what gives the number weight. Seeing the robots run on a real production line, day after day, shows what deployment actually looks like: sustained performance, steady pace, consistent execution — proven over days, not minutes. Manufacturing feels like the natural place for this to mature first. And if the same platform can adapt across different lines, that’s where it gets really interesting. Congrats to @AGIBOTofficial on the milestone! #AGIBOTLive #AGIBOT #HumanoidRobots #EmbodiedAI #Robotics #Manufacturing #Automation

At today’s ceremony, AGIBOT handed the 15,000th AGIBOT G2 to Longcheer. It’s a milestone, but the number isn’t the most interesting part. What stands out is the pace. Going from validation to real factory deployment this quickly feels like a turning point for humanoid robotics. After watching AGIBOT’s six-day livestream, the biggest takeaway for me wasn’t that the robots can do the job. It’s that they can keep doing it consistently in a real production environment. That’s when robotics starts becoming a real business, not just a demo. @AGIBOTofficial #AGIBOT #HumanoidRobots #EmbodiedAI #Robotics #Manufacturing #Automation #AGIBOTLive

Hard to argue with this: six days of factory footage, no highlight reel, no staged demos. Just robots on a real production line, doing real work. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Wild that one of the most compelling arguments for humanoid robots this year wasn't a product launch or a keynote. It was six days of live footage from a factory floor. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Final day of the AGIBOT factory stream. Tuned in just to check, ended up watching for an hour. There’s something about real robots doing real work that hits differently from any promo video. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Let's be honest: I clicked for the sci-fi vibes, but stayed because AGIBOT humanoid robots were actually working. No theatrics. Just productivity. That's how you create value: show, don't tell. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Not a robotics person. Not in the industry. Just someone who watched AGIBOT's factory stream for six days and came away thinking humanoid robots feel a lot more real now. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

A six-day livestream will not define the future of humanoid robots. But it does move the conversation away from speculation and closer to real-world deployment. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Six days in. Final day live. The "can humanoids create value" question feels less abstract when you can watch robots working on a real production line. #AGIBOT# HumanoidRobots #EmbodiedAI #AGIBOTLive

Been tracking this all week. Day 6 changed how I think about the "does it actually create value?" question. It feels less like theory and more like a real shift on a production line. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Day 6 makes the debate more practical: robots do not need to replace everything to create value. They just need to take on dull, repetitive, hard-to-fill jobs first. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

One thing this livestream highlights is how robots and people divide the work on a real production line. In many production environments, the goal is to let robots take on repetitive, physically demanding, and consistency-driven tasks, while human operators focus on work that requires judgment and adaptability. It's a practical way to think about human-robot collaboration, and that's something you should be paying attention to as AGIBOT's livestream continues. @AGIBOTofficial #AGIBOTLive #AGIBOT

I’m curious about the boring metrics here: fewer errors, less idle time, smoother handoffs, more stable output. That’s probably where humanoid robots prove their real value first. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

I like seeing humanoid robots tested in places where productivity can actually be measured. A factory line is much more honest than a stage demo. Either it improves efficiency, or it doesn’t. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive Once the retweet is complete, please send me the link. Thank you!

The interesting part is the workflow around it. If workers don’t have to constantly pause, adjust, or wait for the robot, that’s already a big sign. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

This feels more useful than another flashy robot demo. If a humanoid can help reduce waiting time, improve handoffs, or handle repetitive steps on a real line, that’s where efficiency starts to show. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

One staged humanoid can fake almost anything. Honestly, eight of them sharing one line without bumping into each other is the part that has to be real. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

Coordinating 8 humanoids on one line is a different beast from making one robot work. Each unit has to know what the others are doing without colliding with them. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive

A factory line does not care if one robot looks impressive. It cares whether every step keeps moving. That is why 8 AGIBOT G2 robots together is the more useful test. #AGIBOT #HumanoidRobots #EmbodiedAI #AGIBOTLive