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?
TinyCommand
@priyanka_gosai1 curious, could this replace duct‑taped Zapier workflows for early‑stage startups?
TinyCommand
@masump Yes absolutely! If you have a business use case in mind, let me know and we will help you implement it.
MultiDrive
@priyanka_gosai1 I really like tools that help reduce the workload. Congrats on your launch, Priyanka! 🚀
EasyFrontend
Everything in one place instead of juggling half a dozen different apps. 🙌🏻 Curious for teams working globally: does TinyCommand support time-zones / scheduled workflows reliably (e.g., send onboarding email tomorrow at 09:00 local)? Congratulations on the launch! 🚀
TinyCommand
@getsiful Thanks for your support! Yes, we do support time-zone selection on when you want to start the workflows. Let me know if you need a walkthrough on that - happy to help you get started!
TinyCommand
@george_esther Thanks so much, really appreciate it. 😊
On AI Agents: yes, they can already handle multi-step workflows, update multiple TinyTables, and trigger emails automatically. Once you set the logic, the agent can read data, decide what needs to happen, and execute across the flow without you manually defining every micro-step. You can still add human checkpoints where needed, but most of the work runs on its own.
And on integrations - HubSpot is already live, and Salesforce is on our roadmap.
Happy to walk you through a real setup anytime.
@priyanka_gosai1
Really cool direction — “one command to run everything” is the dream for anyone who’s stitched together too many tools.
Curious on one thing:
How do you prevent hidden complexity from creeping back in as users scale?
When workflows grow, even “single-command” systems tend to accumulate branching logic, exception handling, retries, etc. Do you abstract that away, or give users visibility/control when needed?
Feels like the biggest unlock here is making automation simpler at 1 user but also maintainable at 1000 users. Would love to hear how you’re thinking about that balance.
TinyCommand
@antonrivellium Thank you, that means a lot. As teams scale, complexity is inevitable, so we do not hide it—we manage it. TinyCommand keeps the basics simple, but when workflows grow, users can access branching, checks, retries, and full visibility.
TinyTables doesn't seem to support linked data fields which is a pretty big requirement for most of us using any sort of tables for data. any plans to add?
TinyCommand
@eko_eko3 You’re absolutely right, and we hear this from a lot of early users. Linked data fields are on our roadmap along with the core features you’d expect from an Airtable-like platform.
Congratulations. And happy product launch. @priyanka_gosai1
TinyCommand
@huisong_li Thanks for the support!
One of the best SaaS out there. This should be a global product in the coming year. Congrats on the launch :)
TinyCommand
@karanparwani Thank you so much — that means a lot to the entire team.
We’re pushing hard to take TinyCommand global, and support like yours really keeps us going. 🙌