Marzo AI Assistant tailors every answer to your unique role, team, and context—so the same question can have different answers for different people.
How Personalization Works
Knows your role and team:
The Assistant uses information about your position (engineer, manager, PM, etc.), your team, and your reporting line to prioritize information that’s most relevant to you.
Understands your projects and activity:
It considers the projects you follow, the meetings you attend, and the channels you’re active in—so you get updates and answers specific to your current work.
Adapts to your feedback:
The more you interact with briefs, mute topics, follow projects, or mark things as done, the more the Assistant learns what matters to you.
Context-aware answers:
When you ask a question, the Assistant combines your organizational context, your recent activity, and your feedback to deliver the most relevant and useful answer.
Real Example
If an engineer and a manager both ask “What’s blocking the release?”
The engineer might see blockers related to their assigned tasks.
The manager might see a high-level summary of all blockers across the whole project.