Priyanka Gosai

I am working for a 20-person startup. @Linear is our product development system, which we really enjoy.

Currently, our operations team receives support requests via their personal email and then publishes requests in the Slack channel, where developers are picking up issues, but we would like to upgrade to a more comprehensive system with a shared inbox. I would like it to have an integration with Linear, and the ticket creation to be automated as much as possible. It would be great to have a help center (documentation), too, as a part of the offering.

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?

I get asked this a lot. And honestly there's no single answer.

Most launches go with:

• product demos

• animated explainer videos

• a founder on Loom walking through a specific use case