We are lost in AI but what you used to do before all this?

I hate certifications. This one's different. When you're learning AI, you need two things: goals and consistency. Anthropic just handed us the goal - they've started rolling out certifications, beginning with the Claude Certified Architect. ( We are Anthropic Partner and help you with Exam ) The consistency part is on you. So I found something to handle it. Learn Claude is a Claude Code plugin. Once a day, it asks if you want to spend a few minutes studying for the exam. Say yes, and it walks you through topics pulled from the actual exam, gives you sample questions, and tracks your progress. Five to ten minutes a day, building toward a credential that's going to be worth having. Small, daily, consistent. That's how this actually sticks. Credits : Edward Honour https://github.com/maludb/learn-claude See you in workshop tomorrow 1PM EST

We have only one rule : Engage meaning fully and Share Your Wins. Introduce yourself below. Tell me one thing you want to build with AI in the next 90 days. (I read every reply and I'm building the curriculum around what you actually need - not what I think sounds good.) See you inside. - Manoj

Last Friday in our workshop, Andy ran a live demo that I keep thinking about. He pulled up a one-page website. Looked finished. Clean design. Everything in place. He asked the room: should I ship this? Everyone said no - something felt off. He ran the automated gate check: 7 rules, 4 failures. Missing viewport meta tag. Only 2 of 3 feature cards. No image alt text. Form label broken. Then he set a loop goal, walked away from the keyboard, and came back to all 7 passing green. Here is my question for the community: What is the one thing in your workflow right now that LOOKS done but you know probably is not - and how are you currently verifying it? Could be a client deliverable. Could be an outreach sequence. Could be code. Could be a prompt. Drop it below. Let's see what "done" actually means across different use cases. (Bonus: if you already have an automated way to check it, share that too - this is exactly where a loop starts.)

Claude went down yesterday. My entire business runs on Claude. Here is what I actually learned. --- I did not panic. That surprised me. Three years ago, a tool going down would have meant a lost client, a missed deadline, a frantic email chain. Yesterday, I made coffee. --- Here is why. When you build on one AI intentionally - not lazily - you design for the gaps. Every critical output has a log. Every loop has a checkpoint. Every system has a state file that survives a restart. The outage revealed which of my workflows were genuinely autonomous and which were just me - but faster. --- The ones that survived the gap: - The morning brief had already run at 7am. Done. - - The content batch was staged the night before. Done. - - The CRM query I needed was cached in MotherDuck. Done. The ones that did not: - The LinkedIn reply I was drafting in real time. Stopped. - - The live workshop prep I was building mid-session. Stopped. --- Lesson: autonomous systems survive outages. Workflows do not. Most people are building workflows and calling them systems. A workflow needs you present. A system runs the checkpoint, waits, and resumes when the tool comes back. --- The question is not "what if your AI goes down." The question is: which of your outputs are genuinely autonomous - and which are just you, but faster? If Claude going down yesterday froze your day, you have your answer. Workshop Friday 1pm EST: https://manojsaharan.ai/workshop