CloudStation’s agent experience became more useful when agents became connected to projects.
That means a team can create or use an agent for a specific initiative instead of treating every request like a loose conversation. The agent, session, tasks, and decisions can stay closer to the project they support.
What you can do now
- Use agents inside focused project workspaces.
- Keep agent sessions connected to the work they support.
- Create agent setups for specific types of business work.
- Return to project history without starting from a blank prompt.
- Give teammates more context when they join active work.
Why it matters
Teams do not just need agents that can act. They need agents that understand where the work belongs.
Project-based agents reduce scattered context. They make AI work easier to continue, easier to review, and easier to hand off. That is the difference between a personal AI helper and a team-ready AI workforce.
Example workflows
- Client account agent: Keep research, planning, and delivery work tied to one client project.
- Launch agent: Help a team move from positioning to tasks, drafts, and approvals.
- Operations agent: Work through recurring process improvements with context from earlier sessions.
What’s next
We’ll keep strengthening how agents carry project context, coordinate with supporting agents, and turn their work into visible progress.