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

Andy dropped the clearest explanation of loop engineering I've seen. Here's what we covered: - The 4 floors of AI leverage - prompt, context, harness, loop - The 4-condition test to know if your task actually needs a loop - The 5 building blocks: automation, isolate, skills, connectors, state file - Why maker-checker prevents LLMs from grading their own homework - Live demo - /loop and /goal in Claude Code, zero manual prompts after go Andy said it best: "9 out of 10 builders have never written a loop. I was one of them until recently." Full recording: https://www.youtube.com/watch?v=NdLwDXptnXw Next Friday we go deeper. See you then.

A Claude workflow cycled between approach A and approach B. Thirty-one times. Not a broken prompt. A missing verifier. The death spiral is the most expensive mistake in agentic AI. Friday we go deep on what causes it and how to architect your way out of it. Loop engineering - live build on screen. June 19 · 1pm EST · Free: manojsaharan.ai/workshop