Justin Jincaid

Aident AI Beta 2 - Open-world automations, managed in plain English

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.

Add a comment

Replies

Best
Rabii Luena
Congrats team on the launch!🎉🥂
Kimi Lu

@rbluena Thanks man!

Elvis Bueno

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?

Tima Sulaimon
Great launch. Automating workflows in plain English is a huge step forward for no-code productivity.
Frank Li
Like the AI product that reduces cognitive load and make automation straightforward
Yankun Zhao

This looks awesome. Making automation this simple could be a game changer.

Gavin Luo

This is great stuff!

Tamim Sourav

Congrats on the Beta 2 launch! Does it support multi-step workflows across different SaaS platforms natively?

Madalina B

Awesome, great product!

Devon Kelley

"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?

刘浩天

Deterministic playbooks for agent actions is the right instinct.

The hard part is detecting when an agent is technically executing

within policy but pursuing the wrong sub-goal — which won't trigger

a rule violation but still produces bad outcomes.

Curious how you handle that gap between rule compliance and intent

alignment.