I've been exploring different workflows lately, and it's amazing how the right combination of tools can completely change a process and save hours of manual work. Curious to know which app integration has had the biggest impact on your workflows and what made it so useful.

One thing I've noticed after using AI in sales: Preparation used to take 30–45 minutes before an important call. Now AI helps me understand: - The prospect's company - Their recent LinkedIn activity - Potential pain points - Questions to ask - Likely objections That means I walk into conversations better prepared and spend more time listening instead of scrambling for information. AI doesn't replace preparation, but rather accelerates it. How has AI changed the way you sell?

I gave Genspark Design a single prompt: “Create an Uber-like website.” Within minutes, it generated a complete website structure with pages, sections, and a realistic product flow. Interestingly, the first thing that came to my mind while using it was Claude Design. Most of us are already familiar with how good Claude Design is at helping us think through products and structure ideas. After trying Genspark Design, my takeaway is simple: Claude Design feels stronger at thinking through ideas and structuring products. Genspark Design feels stronger at building and executing ideas Has anyone else tried Genspark Design yet? I'd love to hear your thoughts.

A few days ago, I made a prediction: «The globalization of frontier AI is slowly coming to an end.» Back then, it was just an observation. Today, it feels a little less hypothetical. First, we saw export restrictions affecting the latest AI chips and frontier models. Now, OpenAI's GPT-5.6 is launching through a limited preview requested by the U.S. government before becoming more broadly available. This isn't a criticism of any company. It's an observation about where the industry is heading. For decades, the market decided who got access to the latest technology. Now, governments are increasingly influencing that decision. That raises an interesting question... Nuclear technology didn't remain a purely commercial technology. Over time, international treaties, export controls, and national security policies determined who could develop or access the most sensitive capabilities. Could frontier AI follow a similar path? Not necessarily with identical rules—but with increasing government oversight over who can build, train, export, or deploy the most advanced models. A year ago, that idea sounded extreme. Today, it doesn't sound impossible. The AI race is no longer just about building the smartest model. It's also about who controls access to it. What do you think? Are we witnessing the end of truly global AI, or is this just a temporary phase?

As AI evolves, writing a good prompt is only part of the equation. The real difference comes from context. Prompt Engineering - Focuses on what you ask. - Great for one-time tasks. Context Engineering - Focuses on what the AI knows before it responds. - Gives AI access to documents, memory, databases, tools, and past conversations to produce smarter, more accurate results. The future of AI isn't about better prompts. It's about providing better context. 💬 Do you think Context Engineering will become more important than Prompt Engineering over the next few years? Why?