Top 7 tools for 'Vibe Automation' (and I'm still looking for the holy grail)

most "AI automation" tools right now are just wrappers around a prompt that break the second you look away.. i’m chasing what I call vibe automation, but a true one! The dream is simple: I state the goal, and the tool handles the heavy lifting: drafting the flow, wiring the credentials, running the tests, and setting up the guardrails so I’m not babysitting errors all day. do you have something iv'e missed? Haven't found the perfect one for me 🥲

stuff I have tried or looked at lately:

1. n8n - love the control and this AMAZING community. On long runs I still end up watching error branches and diffing JSON in reviews and hard to build complicated flows, but rock solid for deterministic work. Don't have that "vibe automation" thing where it builds itself.

2. Kadabra AI - WOW. closest I have seen to the outcome I want for data heavy flows with guardrails and change review. It actually handles the "self-healing" part well, but I still want more power user knobs for when the magic gets it slightly wrong.

3. String AI - cool push on prompt to flow. I hit reliability walls on heavier data jobs and evals. It felt a bit like it was hallucinating the logic, not just the content. Would love to hear about setups that worked for you.

4. Gumloop - feels like the growth hacker’s toybox. Really fun drag and drop for chaining models. It’s great for marketing pipelines, but it can feel like a black box when it breaks.. hard to tell if it was the prompt or the platform.

5. Relay - the "responsible" choice. They nailed the HITL part. It doesn't write the flow for you as magically as others, but it’s the best at pausing for a one click approval in Slack so the AI doesn't hallucinate an email to your CEO.

6. Lindy - in my feeling, this is more "hiring a bot." You chat with it to set it up ("manage my calendar"). Very natural language driven, but terrifying to debug, you just have to argue with the bot.

7. Relevance AI - heavy duty multi agent stuff. You build agents that manage other agents. Incredible for deep research or data enrichment tasks, but high overhead. You aren't building a script, you're managing a digital workforce (including the complexes of being not deterministic most of the times).

I wonder, what actually delivers this for you in production? which tools or stack, what job they handled, and why they held up under real load?