AI agents are increasingly making real decisions in businesses. They qualify leads, respond to customers, analyze data, and sometimes trigger actions that affect revenue or customer experience. As these systems move from suggesting to actually deciding, mistakes become inevitable.
When that happens, responsibility becomes unclear. The user configured the system, the company built the product, and the underlying models often come from another provider. If an AI agent makes the wrong call and it impacts a customer or revenue, where should accountability actually sit?
Curious how others are thinking about this. Who should be responsible in such cases, and are there any legal guidelines or draft regulations emerging around this?
Looks cool! How would you compare to n8n?
@jiaying_yang1 Thanks for your support!
n8n = power for technical builders.
TinyCommand = speed, simplicity, and an all-in-one automation stack for everyone.
Happy to show you the differences with a real workflow if you’re curious!
@ishwarjha Thanks for the support!
TinyCommand looks slick! Finally, a way to ditch the duct tape approach. What’s the stack behind this magic? Can’t wait to dive in!
@goyashy Thanks so much, that means a lot to the team.
Excited for you to dive in, and happy to walk you through anything you want to explore.
This is really a smart way of connecting and automating data. Would love to try out
@chilarai Thanks for the kind words - that’s exactly what we’re building TinyCommand for. Would love for you to try it out and share your feedback.
If you need help getting started, just let me know.
This is awesome. Congrats on your launch!
@thisiskp_ Thanks!
Fantastic product by an even more solid team of makers. Everyone should check this out!!
@charliepatel Really appreciate the encouragement and support!
@priyanka_gosai1 this looks like a perfect solution for teams tired of tool overload!
Curious - what's the learning curve like for non-technical users? Can marketers or ops folks build their own workflows easily?
@mskyow Thank you, really appreciate that.
The learning curve is intentionally light — marketers, ops teams, and non-technical users build most workflows without any help. The forms, tables, and workflow canvas are designed to feel familiar right away, so people can start automating within minutes instead of learning a new system. If you face any issues or have questions, let us know. We're happy to help you get started!