You can now teach Claude by simply recording yourself. 🎥 Instead of writing long prompts or manually creating custom workflows, Claude's new "Record a Skill" feature lets you: ✅ Record your screen while completing a task once ✅ Claude observes your workflow step by step ✅ It converts that recording into a reusable Skill ✅ Next time, Claude can perform the same workflow for you Think about the possibilities: 💡 Generate weekly reports in your preferred format 💡 Follow your team's SOPs automatically 💡 Analyze data using your exact process 💡 Create presentations with your personal workflow 💡 Standardize repetitive tasks across your team This is a big shift from prompt engineering to workflow engineering. Instead of repeatedly telling AI what to do, you're teaching it how you work. ⚠️ Availability: Recording a Skill is currently available only on Pro, Max, and Team plans, and only in Cowork in Claude for Mac. It is not available in regular chat, on Windows, or on Free and Enterprise plans. For professionals, educators, automation engineers, and businesses, this can save hours every week while keeping outputs consistent. As this capability expands to more platforms, it has the potential to transform how we delegate repetitive work to AI. 🔥 If this evolves further, AI assistants may soon become true digital teammates that learn directly from your expertise. What repetitive task would you teach Claude first using "Record a Skill"? Share your ideas in the comments! 👇

Google has introduced three new Gemini models aimed at making AI agents faster, more efficient, and more affordable for developers and enterprises. Gemini 3.6 Flash - Better coding, reasoning, and multimodal performance. - Uses 17% fewer output tokens, reducing overall cost. - Improved Computer Use capabilities. - Stronger performance in document parsing, chart analysis, report generation, and multi-step agent workflows. Gemini 3.5 Flash-Lite - Google's fastest Flash model, capable of generating 350 output tokens per second. - Designed for high-throughput workloads such as AI agents, search, and document processing. - Includes built-in Computer Use support. Gemini 3.5 Flash Cyber - A cybersecurity-focused model optimized for finding and fixing software vulnerabilities. - Available through a limited-access pilot for governments and trusted partners. Overall, this release is focused on lower latency, reduced costs, improved reasoning, and stronger AI agent performance, making Gemini even more suitable for real-world automation and enterprise workflows. Which of these new Gemini models are you most excited to try?

Anthropic has officially launched Claude Opus 5, its new flagship model for everyday use. It delivers frontier-level performance in coding, automation, and knowledge work while costing about half as much as Claude Fable 5. It also becomes the default model for Claude Max subscribers. If you're using Claude for AI development, automation, or coding, this is definitely a model worth exploring. What are you most excited to test with Opus 5?

We’re excited to have you join us! 🎉 You’re now part of a community where we learn, experiment, build, and explore the possibilities of AI & automation. 🤖 Here’s how you can get started: 👋 Introduce Yourself : Visit the Start Here section and tell us a little about yourself, what you do, and what brought you here. 🎯 Share Your Goals : Tell us what you’re looking to learn, build, or automate. We’d love to know what you’re working toward! 💬 Join the Discussion : Explore the discussions, ask questions, share your ideas, and connect with other members. 🛠️ Start Building : Put your learning into action, experiment with AI tools, and share your progress along the way. Once again, welcome to the community, @Shareef Huddle ! We’re happy to have you here and excited to see what you create! 🤝

After spending some time comparing it with frontier models like Claude, GPT, and Kimi, my first impression is that it doesn't seem to compete on raw intelligence. In complex reasoning and coding tasks, it still appears to lag behind the current top-tier models. The bigger question is: Is Google saving its real breakthrough for Gemini 3.6 Pro? 🤔 The absence of a Pro release has definitely raised expectations, and Google has confirmed that 3.5 Pro is still in testing while focusing this launch on Flash models. That said, I think many people are looking at this from the wrong angle. Today, the biggest challenge for companies isn't always model intelligence—it's AI cost and response speed. Token bills are becoming a serious concern, especially for businesses running AI at scale. This is where Gemini 3.6 Flash looks very interesting: - ⚡ Faster responses - 💰 Lower cost per task - 📈 Better economics for high-volume AI workflows For many production use cases, a model that's 90% as capable at a fraction of the cost can be a better business decision than using the smartest model available. My prediction: the next phase of AI competition won't be won by benchmark scores alone. It will be about cost, latency, and ROI. If Google delivers a strong Gemini 3.6 Pro alongside this pricing strategy, the competition could become very interesting. What's your take? Would you choose the most intelligent model, or the model that gives the best balance of speed, cost, and quality for real-world AI automation?