My Take: Claude Opus 4.7 Anthropic's latest model is claiming to be noticeably better at complex, multi-step tasks — and a few changes are worth knowing about before you dive in. What's different: - Smarter on hard problems and better at staying on track in long sessions - Less chatty by default — answers match the complexity of your question - Thinks adaptively now, meaning it decides when to reason deeply vs. respond fast How to get the most out of it: - Put all your context in the first message — the more you front-load, the less back-and-forth you need - Batch your questions rather than sending one at a time Quick Tips: One tip worth saving: Want deeper reasoning? Add: "Think carefully — this is harder than it looks." Want faster replies? Add: "Prioritize speed over deep thinking." Some things are better from the source itself. Here is the latest blog post from Anthropic. https://claude.com/blog/best-practices-for-using-claude-opus-4-7-with-claude-code

We just wrapped Session 2 of our live build series and it was a great one! Starting from absolute scratch, we built a fully functional Task List app in under 10 minutes of total “cook time” using nothing but natural language prompts in Claude Code. No traditional coding. Just clear instructions and AI doing the heavy lifting. Here is everything we built in one session: ✅ Add, edit, and delete tasks ✅ Priority levels with color coding ✅ Due dates, categories, and status tracking ✅ Notes field per task ✅ Live progress bar ✅ Search, filter, and sort ✅ Collapsible completed tasks section ✅ Real SQLite database ✅ Runs locally on your machine The best part, while I was feeding Claude Code with prompts to build an enhanced Task List, several conversations broken out between @Matthew Sutherland @Bruce Kaufmann and I discussing many planning and building tips that only experienced builders could offer. The biggest lesson from today? Prompting is the new coding. If you can describe what you want clearly and in phases, you can build real working software — even if you have never written a line of code in your life. The YouTube video is now live. Go check it out and follow along. All the prompts we used are included. 👉 https://youtu.be/oJwNzUDzsIA?si=peazUxtSTJ8Y4rKA Session 3 is coming up on Monday. #ClaudeCode #VibeCoding #AIBitsAndPieces

Edit NotebookLM infographics in Canva! One of the nice things about NotebookLM is how quickly it can turn source material into a useful infographic. The challenge is that the finished infographic is a static image, so if you want to make small visual changes, adjust wording, or move elements around, you cannot really edit it directly. A simple - yet powerful trick - is to take that infographic into Canva and break it into editable pieces. ▶️ I put together a short video showing exactly how this works, or you can follow the process below. Here’s the basic flow: 1. Import your source document into NotebookLM Start by bringing your source document into NotebookLM and shaping the content until it says what you want it to say. 2. Create the infographic Once the content is where you want it, generate the infographic inside NotebookLM. 3. Copy and paste the infographic into Canva When the infographic looks close to right, move it into Canva by copying and pasting it. 4. Select Edit, then Magic Layers 🪄 Inside Canva, choose Edit and then Magic Layers. 5. Break the infographic into editable elements Canva will separate the infographic into individual parts so you can edit text, move sections around, adjust spacing, and refine the design. 6. Polish the final version Instead of starting from scratch, you are starting with structure already in place and then improving it into something more usable and presentable. This is one of those practical little moves that makes AI output easier to turn into something polished and usable.

We just crossed 600 members in AI Bits & Pieces. Consistent growth from day one, fueled by people trying to understand what AI actually means for their work and day-to-day life—and how it can help them stand out in the workforce, business environment, or executive ranks. That’s been the goal from the start. A place for: 🔵 AI Curious — figuring out what this all is 🟢 AI Enthusiasts — using it regularly 🟠 AI Practitioners — applying it to real work 🟣 Enterprise — thinking about scale across teams What’s been interesting isn’t just the number—it’s the mix of people and the conversations starting to take shape. Members are building small things. Members are asking in-depth questions. And members are starting to connect the dots between tools and outcomes. A special shoutout to each and every member, and the people who have supported me from the beginning: @Michele Wacht @Dena Dion @Debra Schmitt @Patti Hoekstra @Mark Zayec @Matthew Sutherland @Jason Hagen @Usman Mohammed @Nick Mohler @Eduard Friesen We have some exciting updates and new offerings for the community designed to help you win the AI game in life, at work, as a business owner, or as an agency. A heartfelt thank you. Michael

We just crossed the 500-member mark here at AI Bits & Pieces. Wow! When I started this community, I simply felt that AI was becoming something bigger than tools or trends. It felt like true a shift in the way we would interact with technology — and I wanted to create a place where people could learn, explore, and apply it in a thoughtful way. What makes this milestone meaningful isn’t just the number. It’s the people. We have members who are: - Just beginning their AI journey - Deepening their prompting fluency - Building real systems and automations - Applying AI inside established businesses That range matters. It creates perspective. It creates better conversations. It creates learning in both directions. To everyone who has contributed, asked questions, shared insight, encouraged others, or quietly followed along — thank you. Your presence shapes this space. We’re going to continue refining the classroom, adding live sessions, and building clearer paths for each stage of the AI journey. I’m grateful you’re here. Thank you, @Michael Wacht