In AI automation, it’s easy to build something that works. It’s harder to build something that’s truly reliable, clean, and scalable. Most workflows run. Few are built to last. As this space grows, I think the real separator won’t be who can build, but who builds with long-term standards in mind. Curious to hear your take: - When you build an automation, what defines “high quality” to you?

One thing I’ve been thinking about lately is how noisy the AI automation space has become, not in a bad way, but in a challenging way. Every week there are: new tools new frameworks new “best practices” new ways people say this should be done And while access to information is great, it also makes it harder to trust your own judgment and stick with one direction long enough to see real results. Sometimes progress doesn’t stall because we’re doing the wrong thing, but because we keep second-guessing ourselves too early. So I’m curious to hear from others here: - What do you personally use as a signal that you’re on the right track, before results are obvious?

Hey Guys, I hope everyone is doing well. My name is Klayton, I'm 20 years old and I'm new to the community. I'm a beginner in the AI space and I'm looking for the most efficient way to get my first client. Glad to be amongst like-minded individuals and eager to learn and develop.👍🏼

One thing I’ve been reflecting on since joining this community is how different everyone’s definition of “progress” is. For some, progress means: mastering tools building complex workflows experimenting with agents For others, it’s: simplifying systems reducing moving parts focusing on repeatable outcomes Neither is right or wrong, but I’ve noticed that momentum often comes when people intentionally decide what progress means for them right now, instead of following what looks impressive. AI automation gives us a lot of options. Sometimes the real skill is choosing what not to work on. I’m curious to hear from both new and experienced members: At your current stage, what does “real progress” look like for you?

Many of us here are capable of building solid automations that work technically. But a common struggle I’m noticing is this: the automation works, yet it doesn’t translate into real traction, no clients, no clear adoption, no consistent results. It’s rarely about skill. More often, it’s about how the automation fits into a real business workflow and how its value is communicated. So I’m curious: - What’s currently more challenging for you, building automations that work, or positioning them in a way businesses actually understand and pay for?