I have asked Perplexity to obfuscate my 12 words of a crypto wallet in a fancy way so that I can put it on a wall as a decorative icon that is hard to read at first sight for the unaware but easy for me, who knows the obfuscation "algorithm". The following is one of 3 cards that contain all 2/3 of the seed words in a way that two of these distinct cards are enough to conclude all the seed. And here is your challenge: I will pay 10k sats to the first comment that gives me the 8 words hidden in this card. Hint: You do not need a computer nor AI. Just logic, some out-of-the-box creative thinking, and some understanding of the Bip39-Algo behind seed phrases.

For a long time, voice AI felt like a convenience. It helped with quick commands, simple dictation, or hands-free interaction when typing was not practical. Useful, yes, but still peripheral to real work. That is starting to change. Live voice agents are becoming more capable, more contextual, and more useful across actual workflows. They are moving from novelty to utility, and that matters because one of the quietest drains on modern work is the friction between having a thought and turning that thought into something actionable. A lot of work begins in speech. An idea arrives out loud before it ever becomes a document. A decision gets clarified in conversation before it becomes a plan. A next step is obvious in the moment, but if it is not captured, structured, and turned into action quickly, it starts to fade. This is where live voice agents become interesting. The time win is not only in faster talking. It is in reducing the lag between spoken thinking and real workflow movement. ------------- Context ------------- Most professional workflows still assume that useful work begins when it is typed. We treat written text as the formal starting point of productive action. But that is not how people actually work. Work begins in meetings, hallway conversations, quick reflections after calls, spoken explanations while walking, or rough verbal processing when someone is trying to think through a problem in real time. That mismatch creates a hidden tax. People often know what they mean before they have the time or energy to formalize it. So they delay. They tell themselves they will write it up later. They leave voice notes half-processed. They walk away from a meeting with the right insight but no clean handoff into the next action. Then later, the memory is weaker, the context is thinner, and the admin burden is larger. This is one reason live voice agents matter so much right now. They reduce the distance between natural thought and structured action. They can capture what is said, organize it, summarize it, and prepare the next useful artifact while the momentum is still alive. That shortens time-to-capture, time-to-first-draft, and often time-to-follow-up as well.

📝 TL;DR Anthropic has launched Claude Design, a new creative tool that lets people build prototypes, presentations, one-pagers, and visual assets by working with Claude through conversation. The big shift is that AI is moving beyond writing and coding, and now trying to become a real design collaborator too. 🧠 Overview Anthropic announced Claude Design as a new Anthropic Labs product powered by Claude Opus 4.7. It is built to help teams create polished visual work faster, whether that means interactive prototypes, pitch decks, product mockups, or marketing assets. This matters because most people have ideas they want to show, but not everyone has the design skills or time to turn those ideas into something polished. 📜 The Announcement Claude Design launched on April 17, 2026 in research preview for Claude Pro, Max, Team, and Enterprise subscribers. Anthropic says users can start from a prompt, uploaded files, or even a codebase, then refine designs through chat, inline comments, direct edits, and AI-generated control sliders. The company is also positioning it as a bridge between design and implementation, with export options to Canva, PDF, PPTX, HTML, and a direct handoff path into Claude Code. ⚙️ How It Works • Prompt-to-design workflow - Users describe what they want, and Claude builds an initial version that can be refined through conversation. • Design system support - During onboarding, Claude can build a team design system by reading code and design files so future outputs stay on brand. • Multiple starting points - Teams can begin from text prompts, uploaded images and documents, website captures, or an existing codebase. • Fine-grained editing - People can leave inline comments, directly edit text, or use sliders Claude creates for spacing, color, and layout changes. • Team collaboration - Designs can be shared across an organization, edited by teammates, and refined together in group conversations.

I am struggling in the fact that Claude tends to cut me off with its useage limits faster than I am use to. I do coding and building a skool page. Im now looking back and wondering if I made a mistake cancelling ChatGPT as it provided longer sessions and was strong with coding and picture generation. Does anyone else use Claude at a level where they run out of usage frequently? What tips do you recommend?

AI didn't fix the launching problem for coaches. It made it worse. I know that sounds backwards. Hear me out. I help coaches build systems — the stuff that connects booking to payments to onboarding to delivery. So I talk to a lot of coaches who are "almost ready to launch." Key word: almost. I had a conversation recently that I can't stop thinking about. A coach — smart, experienced, great at what she does — told me she'd been "building" her course for 4 months. Me: "4 months? What's left to finish?" Her: "Well, I had 6 modules done. But then I used AI to brainstorm and it gave me ideas for 4 more modules I hadn't thought of. So now it's 10 modules." Me: "Okay... so you're finishing those 4 new modules?" Her: "Not exactly. I realized the sales page didn't match the new modules, so I'm rewriting that. Also, I had AI generate a whole new onboarding email sequence. And now I'm thinking the pricing model should change because the course is bigger..." Me: "When did you last talk to an actual paying client about any of this?" Silence. 4 months of building. Zero minutes of feedback from a real human who would pay for it. This is the part nobody's talking about. AI is incredible. I use it every day. It can help you build things in hours that used to take weeks. But it also removed the natural friction that used to force coaches to stop building and start launching. Before AI, you'd hit a wall. The sales page was hard to write, so you'd put up something imperfect and go sell it. The course was taking forever, so you'd launch with 3 modules and build the rest live. The friction was annoying. But it was also a gift. It forced you to ship before you felt ready. Now? There's no wall. AI will happily help you add another module, redesign the checkout page, rewrite the emails, restructure the pricing, build a second funnel, create a membership tier you never planned... And you'll feel productive the entire time. That's the trap. Here are 5 reasons I keep seeing coaches never actually launch — and every single one of them is made worse by AI: