Just wrapped up another automation project, and to be honest, this one felt really good to deliver. Steven came to me with a familiar problem, he was spending too much time doing the same repetitive tasks every single day. Nothing too crazy, but enough to slow him down and drain his focus. His words were basically: “I just want this stuff to run without me babysitting it.” So I built him a workflow that kind of does exactly that. Simple input → clean automation → consistent results No stress. And seeing feedback like this afterwards… honestly, it means a lot: ⭐️⭐️⭐️⭐️⭐️“Johnson has been really professional and very knowledgeable about the subject matter and it’s reflected on the automation workflow he created for me. I would recommend him to anyone.” I think this is why I enjoy building these systems, people get their time back, their work gets smoother, and the annoying parts disappear in the background. If you could automate one thing in your daily workflow, what would it be?

Hii everyone, I'm looking for a person who can do outreach. Especially from UK and Europe. Must be professional and a little experience. All the information is must be correct about you. If you fit in this tell me about you.

Hey guys, I am trying to the switch called "Output Content as JSON" and I cant find it in my OpenAi Message model. Why is that can someone help me with this?

A lot of people here are building automations but still run into the same roadblocks stopping them from getting real results. Things like unreliable workflows agents that break the moment data changes or setups that work in theory but not with real clients. I’m curious what’s been your biggest challenge lately with AI automation. Drop it below I’m doing some research and I’d love to hear what you’re dealing with right now.

Built a “Tax Logic Advertising Machine” that uses AI + automations to turn one commercial real estate idea into a wall of content, proof, and inbound attention. [1] One weekly build drops into Metricool and comes out as daily posts across LinkedIn, X, YouTube Shorts, Instagram, Facebook, and Tiktok On the front end, it speaks the language of proof stacking: short case-style stories, outcomes, and screenshots that build trust brick by brick instead of shouting “buy my thing.” [3][4] On the back end, AI agents pull CRE numbers, tax logic, and cost seg scenarios and turn them into after‑tax cash‑flow talking points and tear sheets for brokers and investors.