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2 contributions to AI Avengers Lab
Claude went down. Here is what I learned.
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
0 likes • 10h
@Manoj Saharan That's a powerful distinction. Workflows automate tasks, but systems are built to recover, adapt, and keep moving even when a dependency fails. The real goal isn't just automation, it's resilience. Great lesson.
The website looked done. The gate said no.
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.)
1 like • 10h
@Manoj Saharan Great reminder that "looks done" and "is production-ready" are two different things. For me, it's usually AI workflows, they can work perfectly in testing but still fail on edge cases. I always run end-to-end tests with real scenarios before calling anything finished.
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Chad Samuel
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4points to level up
@chad-samuel-1098
I help service businesses never miss a lead using AI receptionists & automation. HVAC | Plumbing | Dental | DM me "DEMO"

Active 3h ago
Joined Jun 28, 2026