Workday Launches Work Intelligence to Show How AI Changes Job Tasks

🙃Elon Musk cautions that the time left is short: You have 3 years at most to keep earning from selling your work. After that, AI takes over most tasks, and paying people for their time stops making sense. The 200-year-old model, "I give you your salary in exchange for your time", will soon be over. This will set off the largest wealth transfer in modern history. People already making the shift get it. People waiting for the headlines will show up too late. In the end, what you own counts for more than how much you work. The smartest asset to build right now ranks above Bitcoin and land: an income stream powered by AI that compounds while you sleep. @aipost 🏴

How to use ChatGPT to automate repetitive daily tasks ⚙️🤖 Prompt: I want you to act as my personal automation consultant. Help me identify repetitive tasks in my daily work and find practical ways to automate them using AI and automation tools. • First, ask me targeted questions to understand the tasks I regularly perform • Identify tasks that are repetitive, rule-based, time-consuming, or involve copying and processing information • For each suitable task, explain what can be automated and why • Suggest the simplest automation approach before recommending complex solutions • Recommend suitable tools such as ChatGPT, Python, Power Automate, Zapier, Make, Excel, or APIs when appropriate • Explain the automation step by step in simple language • Show me how AI can be used for tasks involving text, documents, emails, data, or decision-making • Help me estimate the time saved by each automation • Prioritize automations based on effort, impact, and frequency • Start with one practical automation and guide me through building it Don't suggest automation just for the sake of automation. Focus on tasks that genuinely save time and reduce manual effort. Start by asking me the questions need

Alot of my job is "can you show me what that would look like?" Our designers are swamped with roadmap work (fair enough), and I didn't want to keep adding my half-baked ideas to their queue. We already have a design system and I have access to our repos, so I figured Claude could just use them. I tried Claude Design first, but it was slow, and moving each version over to Figma held up every round of changes. The Figma MCP was painfully slow too. So a couple of weeks back I hacked together Figment, a ClaudeCode skill plus a small Figma plugin. Claude writes the screens as code using our design system. A quick check catches anything that would look broken, like text spilling out of a button, before it ever reaches Figma. Then one click builds a real Figma file you can edit. Most of the PMs a

🤖 Anthropic Shows How to Build AI Agents Anthropic published a detailed guide to autonomous agents built on Claude Managed Agents. They can check Slack and GitHub every day, find important changes, then send a short summary without human input. An agent scans work chats and repositories for unanswered requests, open tasks, and code changes. It posts to Slack only what needs attention, remembers processed messages, and checks task status again before sending. Claude Managed Agents is in beta and runs in Anthropic’s cloud, so a computer does not need to stay on. Each run can have a spending limit and restricted access to external services. Anthropic also released an implementation on GitHub and a Claude Code command. 📊@tech