Built a lead routing workflow last week that should’ve taken two hours. New form submission comes in, gets scored, lands in HubSpot, pings the right Slack channel. Done this before. Should’ve been an afternoon. Took three days. Not because it was hard, because I kept convincing myself the next tool would be cleaner. Got halfway through in one platform, hit some friction, jumped to the next one. By day two I had half-finished automations in four different tools and a creeping feeling that most of the “AI automation” category is just the same three features in different packaging. Eventually I did the only reasonable thing: scrapped everything and rebuilt the same workflow in every tool I was curious about. Back to back. Same workflow, every platform. Here’s what I actually learned from that: n8n is the one I keep coming back to for client work. Self-hosted it on a cheap Hetzner box and had something running before lunch. The real moment was when a client needed an audit trail, pulled up the canvas, traced every branch visually, exported something readable in five minutes. Nothing else I tried lets you do that cleanly. Make was the surprise for internal stuff. Handed it to my content team with zero hand-holding. Monday someone asked if it was broken. Wednesday I got a screenshot, they’d built an entire RSS-to-Notion briefing pipeline end to end. The economics vs Zapier at any real volume aren’t close either. Composio was the thing I didn’t expect to change how I work. I’d been writing OAuth boilerplate by hand every time I added a new integration to an agent. Connected Gmail, GitHub, Notion, and Slack to a LangChain agent in under an hour with zero auth code. The three devs I’ve recommended it to are all still using it months later. Zapier I’ve rage-quit twice and come back twice. The docs are just the best in the category, when something breaks at 11pm and a client is waiting, that genuinely matters more than features. Expensive at volume though, that part isn’t a myth. Also been playing with Claude Cowork for simpler delegation stuff, typed a natural language instruction for a recurring research task and it just ran with no workflow setup at all. Falls apart on anything with real conditional logic but for straightforward recurring tasks it’s kind of wild. Tried Lindy too. The meeting prep agent is genuinely useful, drops a research brief before every discovery call without me thinking about it. Tried using it for anything beyond that and it struggled. Feels like it has a narrow sweet spot but inside that sweet spot it’s really good. Hadn’t touched Bardeen until a sales rep on my team mentioned she was spending two hours a day copying LinkedIn profiles into our CRM manually. Set her up with a playbook in 25 minutes, cut the task to four minutes. Main limitation is your browser has to stay open, not great for anything you want running in the background overnight. Probably the most useful thing I took from the whole exercise: most people are treating these tools like they’re interchangeable and they’re really not. There’s a difference between tools for delegation, tools for structured data routing, tools for agent infrastructure, and tools for browser work. Picking the wrong category for your problem is why people keep jumping between platforms and feeling like nothing works. submitted by /u/geekeek123
Originally posted by u/geekeek123 on r/ArtificialInteligence
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