Can AI-Agent Sessions Become Shared Workspaces?

Beginners
1

Most AI-agent workflows still assume one person is interacting with one agent.

But collaborative AI projects often involve several people contributing at different stages.

Imagine two or three teammates joining the same live agent session, adding context, correcting the agent’s direction, or handing the task to someone else without losing the previous work.

For teams building with AI models and agents, this could be useful for things like experiments, debugging, implementation, and research workflows.

I’ve been exploring Sharkly.ai because it takes a collaborative approach to working with AI agents, where multiple people can participate instead of keeping the agent session tied to one user.

The interesting question is:

Should an AI-agent session be treated more like a shared workspace than a private chat?

2

I don’t know for you, but generally I have trouble not overwhelming the context already. If there are more people in the chat won’t it make the problem worse?

3

I think the shared-workspace idea is interesting, but context could definitely become messy once multiple people start jumping in. Maybe the key is having clear roles or a way to summarize each person’s changes so the agent knows what actually matters without carrying everything forward.