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The loudest fear around AI has always been job loss. But the quieter, more accurate shift is happening somewhere else. AI is not removing work, it is removing the space between work, and that is changing how roles feel, how value is created, and how people experience their day. ------------- Context ------------- Most modern jobs are not made up of one continuous task. They are made up of transitions. Moving from a meeting to notes. From notes to action items. From action items to follow-ups. From information to decisions. From one system to another. For years, these transitions have been the invisible glue of work. They are rarely written into job descriptions, but they consume enormous time and cognitive energy. People become the connectors, translators, reminders, and memory holders that keep organizations moving. AI is now stepping directly into those gaps. It summarizes conversations, drafts follow-ups, organizes tasks, routes requests, and preserves context across tools. The work still exists, but the friction between steps is shrinking fast. That is why this shift feels unsettling. When transitions disappear, the shape of work changes. And when the shape of work changes, identity and value can feel suddenly unclear. ------------- Why Transitions Have Always Carried Hidden Value ------------- Transitions may look like overhead, but they have always been where judgment lives. Deciding what matters from a meeting. Interpreting tone in a message. Knowing who needs to be looped in. Choosing when to escalate and when to wait. These are not mechanical steps. They are human sensemaking. Because this work is informal, it often goes unrecognized. It sits between roles. It rewards experience more than expertise. And it creates a sense of indispensability for the people who quietly manage it well. When AI absorbs parts of this transition work, it can feel like value is being taken away. But what is actually happening is exposure. The work was always there. It just was never named.

Hi everyone, I’m Bettina and I work in real estate in Salzburg, Austria—currently with an agency, and I’m preparing to go independent. I’m already dabbling with AI, mainly using ChatGPT to write property exposés, support valuations, and even do virtual staging for vacant apartments. One area where I’d love AI to help even more is productivity and automation—especially integrating it into my daily acquisition workflow, like smarter outreach, follow-ups, and more automated email responses. I joined this community to learn practical tools and proven workflows I can plug into my day-to-day sales and acquisition work.

In this video, I break down the week's happenings in AI including Clawdbot (Moltbot), a ton of new upgrades to the Claude ecosystem, new techniques and workflows people are using to create short films with AI, and more. Enjoy!

I’m using ChatGPT regularly across different areas — learning, thinking through ideas, writing, planning, and problem-solving — but I feel like I’m still interacting with it at a surface level. I’m realizing that the quality of the output depends heavily on how well I direct the AI, not just what I ask. My question is:How do you personally “think about” and structure your prompts when using ChatGPT so it becomes a consistent thinking partner — not just a tool that gives generic answers? Are there any mental models, prompt structures, or habits you’ve developed that significantly improved the usefulness and depth of ChatGPT across everything you do? I’d love to learn how others are approaching this more intentionally. Thanks in advance!