Most automations fail because they save time nobody felt. I use a simple check before I build anything. Dream outcome. What does the client really want? Likelihood. Will this actually work every time? Time delay. How fast does it pay off? Effort. How much work does it take to run it? High dream outcome and high likelihood, fast payoff, low effort. That is a build. Low on any one of those, skip it or fix it first. It comes from Alex Hormozi and his value equation. What automation passed this check for you lately? And what automation looked good but failed it?

What are the most common kinds of "silent" failures you tend to run into when you have given a workflow to a client. Silent as in the execution still reads as sucessful but it isn't giving a correct output, for example, not putting credentials in a node but it still executes.

Hey guys, I need help, advice. I'm building an automation for a client to create automated quotations when he receives email requests. This sounds pretty straightforward, but it's not. There's one source of emails that comes always from the same sender, and that one is easy; it's forwarded from a factory form. But then I want the automation to scan the inbox every 30 minutes to check if there are any other quotation requests. The inbox is scanned, and labels are attributed to the emails, classifying them, After that, an automation runs and creates the draft. But the draft is complex because it has to go through 500+ pages of PDF, which is very complex. So it has the PDF split into categories and sends the draft only with the pages of that specific product. There are some products that it actually gives the final price for because they don't have combinations of fabrics or colors. So it is pretty complex. My question is, I build this with Google Workspace features like buckets and stuff like that for the "rag" and I have a massive complex make.com automation that you can see in the image, Is this the best way to do it? for real? with such complex make.com automation? Can't I just tell claude to do everything. I asked Claude and COdex and both guide me through this. It's working but it's very complex and I was wondering if it could be simpler... Sorry for the essay... Thank you

Before adding AI to a workflow, ask one uncomfortable question: If we could redesign this process from scratch, would this task still exist? A business can automate every step, and still preserve the original inefficiency. Try this sequence before building: 1. Delete steps that create no real value. 2. Simplify steps that exist only because of outdated processes. 3. Standardize what genuinely needs to happen. 4. Automate what remains repeatable. 5. Add AI where interpretation or judgment is actually needed. Example: Don’t build an AI agent to summarize reports nobody uses. Fix the decision process first. The goal isn’t maximum automation. It’s minimum unnecessary work. What’s one task in your current workflow you’d eliminate before automating anything?

I'm curious how you structure and present your Scope of Work when working with clients. - Do you use any specific tools to make them look professional, with graphics, visuals, and a nice layout? - Do you use AI to help create them? For example, uploading a recording or transcript from a discovery call to extract the key details and turn them into a structured Scope of Work. I'd really appreciate it if anyone would be willing to share an example of a dummy Scope of Work they've created (with fictional client details, of course), just to get some inspiration! 🙌