It’s finally here… Get on the waitlist: https://claude.com/product/claude-duet Always on agent from Claude. This is their version of always on agents like Grok Bots, ChatGPT Dots and Meta’s Muse. I have been obsessing over Dots and Muse for the past few weeks. Let me know if you are interested:

For every unique member who shares a goal in the comments, AI Bits and Pieces will donate $1 to Winning Futures, up to $100 total now through October 15, 2026. It is simple, and fun. To clarify, we are not asking any member to donate money. Just share the goal that your favorite LLM gives you. 🎯 With three months left in the year, let’s remind ourselves of the goals that matter to us—and, as a community, help Winning Futures reach their fundraising objectives so more students can achieve their life goals. ✅ Enter this prompt in the AI you use most often: "Based on what you know about me, what will I regret most if I don’t complete it by the end of this year? Explain why, and point to what I’ve shared that led you to that answer. If you don’t have enough context, ask me questions first." ✅ Share Goal in Comments: Share one goal in the comments and one step you’ll take this week. You can agree with your AI or choose something else that matters to you. ❤️ AI Bits & Pieces will donate $1 🌟 About Winning Futures: This organization helps Metro Detroit students build the skills, confidence, and plans to achieve their life and career goals. Their seven-year program pairs students with volunteer career mentors, starting in high school and continuing through college, trade school, or other education. Donations support mentoring, scholarships, and emergency funds that help students stay on track toward their futures. Learn more about Winning Futures. What’s your goal—and what’s your next step? 👇

Well done @Matthew Sutherland! You have achieved Level 6, your role is growing from active participant to community contributor - and that gets recognized. Fun fact, @Matthew Sutherland is the highest ranking member in the community! 🚀 Every post, answer, and experience you shared added something to this community. Your progress matters, but so does the role you’ve played in helping other members make progress of their own. 🔓 Here’s what you’ve Unlocked: AI Bits & Pieces is donating $25 in your name to Winning Futures. @Kristina Marshall is the president of this wonderful non-profit, and every little bit helps. Click here to learn more about this exceptional student mentoring organization. @Matthew Sutherland is the founder of AI for Life Skool community. A great community to join if you are looking to improved and excel at Claude Code. Thank you for all you do @Matthew Sutherland. @Karen Widas @Kierra Woekel @Ron Nedd @Pedro Gomez @Mike AI Consultant @Mike Thomson@Frank Priboy @Gina Wang

The work meeting is over. Now you need to explain what happened, brief leadership, and make sure the work gets done. Those are three different needs—and you can use the same transcript for all three. For this exercise, use the attached fictional bakery meeting transcript. Five employees discuss how to improve morning pickup orders. 👇 Open a new chat, upload the transcript, and try these prompts one at a time in the same chat. 1️⃣ Meeting Summary — What happened? Prompt 1: Create a meeting summary from this transcript for the attendees. Include their names and titles, the main problems discussed, agreed process improvements, decisions, and unresolved questions. Separate approved decisions from suggestions and proposals. Include timestamps for key decisions. Use only the transcript and flag uncertainty instead of guessing. 2️⃣ Executive Summary — What does leadership need to know? Prompt 2: Using the same transcript, write an executive summary of no more than 200 words for the bakery owner. Focus on the business problem, the agreed pilot, its scope and timing, proposed success measures, and risks or decisions still requiring attention. Distinguish proposed targets from confirmed commitments. Use only the transcript. Don’t claim that improvements have already occurred. 3️⃣ Task List — Who does what, by when? Prompt 3: Extract the agreed tasks from the transcript into a table with these columns: Task, Owner, Due Date or Timing, Dependencies or Approvals, and Source Timestamp. Include supporting contributors where stated. Convert relative dates using the meeting date of October 12, 2026. If an owner or deadline isn’t stated, write “Not specified.” List ongoing pilot responsibilities separately from one-time tasks. Don’t turn unapproved suggestions into assigned work. Now review the results: 📋 Does the meeting summary capture the discussion and decisions? 🎯 Does the executive summary give leadership the essentials? ✅ Does the task list accurately identify owners, deadlines, and approvals?

You don’t always need a detailed prompt to discover what AI can do. Try it with the photos, blueprint, and screenshot of a poem attached to this post. 1. Open a new chat in a LLM that accepts images. 2. Upload the first image and type: “Describe what you see.” 3. Upload the next image in the same chat. Then the next. Read what it picks up: objects, colors, visible text, layout, and details you might have overlooked. Compare its description with the image—did it miss anything or make an assumption? 📸 Now upload your own photo or photos. Try a screenshot, a handwritten note, an item you want to sell, or something you’re curious about. 💬 Share what surprised you?