Aident AI Beta 2 - Open-world automations, managed in plain English
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Meet the future of work—AI that actually runs with you. Build and manage open-world automations in plain English across Discord, Slack, X, Shopify, and more with 1000+ integrations, 23000+ actions, and 1000+ templates. Trigger on real-world events, get updates in your favorite chat apps via IM + MCP, and monitor runs, approvals, and issues from one live dashboard.
Replies
Aident AI
@rbluena Thanks man!
The plain English automation angle is what gets me — most tools in this space still feel like you need an engineering degree to set up a basic workflow. How does it handle edge cases when a trigger fires but the downstream action fails halfway through?
I have been using Aident for the past few days and I believe it does deliver the simplicity it preaches. I have created an automation for X posts since I am active on it a lot and it has been working decently for me.
But when the first time I visited the website, it took me more than a minute to figure out what this really does, given that I am not from a technical background. It could have bored me out but still I went in and tried out what it really offered and only after trying it in real time I found out the logical use to it.
This could become a problem in the long term as people would not be interested in the product if they don't get it in an instant.
Which is why I personally believe it lacks strong communication.
I edited the hero and the subhead for the starter,
would you like me to share it with you?
Minara
WisdomPlan
This looks awesome. Making automation this simple could be a game changer.
Tripo AI
This is great stuff!
Congrats on the Beta 2 launch! Does it support multi-step workflows across different SaaS platforms natively?
Awesome, great product!
"The hardest part isn't wiring steps together, it's handling the messy, unpredictable real world." YES. This is the thing most automation tools completely ignore. You can build the prettiest flow graph in the world and it still falls apart the moment a Shopify webhook returns something unexpected or a Slack API rate limits you at the wrong time.
The shift from UI design to instruction design is interesting. Curious how you're handling the reliability side though. With 1000+ integrations and live triggers, how do you deal with failures that aren't bugs but just the real world being inconsistent? Live triggers mean you can't just retry blindly, you need to be smart about what to do when things go sideways. Is that something users configure or does the system figure it out?