Marzo AI gets smarter and more personalized the longer you use it. Here’s what you and your team can expect as Marzo AI learns from your real conversations and feedback:
Day 1: Instant Value with the Basics
Connect your tools: As soon as you connect Slack, Calendar, Google Meet, and optionally GitHub/Jira/Linear. Marzo immediately starts processing recent conversations
Daily Briefs: You’ll receive a personalized brief in Slack showing initial highlights—recent decisions, deadlines, overdue tasks, and key meetings—from what Marzo can see so far.
Org-aware context: Marzo AI use your org data so your briefs and alerts are more relevant from the start.
Follow Updates & Assistant: Right away, you can skip meetings and get recaps, and ask Marzo questions about recent decisions, blockers, or “who’s responsible for X?”
Think of Day 1 as getting a smart summary of your current context, based on everything Marzo can see so far.
Week 1: Getting Personal
Learns from your feedback: As you interact (marking Done, Mute, Follow, giving thumbs-up/down), Marzo adapts to your priorities and work style.
Smarter context via org data: Knowing who works with who, reporting lines, and project teams, Marzo can better filter and prioritize context—making your Daily Briefs, meeting recaps, and Pre-Meeting Intel more “for you.”
Stronger pre-meeting prep: Pre-meeting briefs get sharper, showing exactly the context (like blockers, risks, or deadlines) most relevant to your role and team.
Assistant is more accurate: As more of your org’s conversations and structures are indexed, answers become richer and more context-aware.
By the end of Week 1, Marzo already feels noticeably more “tuned” to what you care about most, and less like a generic feed.
Month 1: Deep Personalization & Teamwide Insights
Hyper-personalized insights: By now, Marzo AI understands your project focus, frequent collaborators, and topics of interest—surfacing what matters most, suppressing what doesn’t.
Team intelligence: Patterns across teams emerge—like recurring blockers or cross-team risks—helping managers and execs spot issues and act early.
Org-wide learning: As more of your org data is ingested (like team memberships, project assignments, and reporting lines), Marzo continues to fine-tune context for every user.
Continuous improvement: Every action you and your teammates take (done, mute, feedback, following) further trains Marzo, making its recommendations even smarter over time.
How Personalization Works
Real conversations drive learning: The more meetings, messages, and tools you connect, the richer and more accurate Marzo’s context engine becomes.
Your feedback makes it smarter: Every time you interact—marking things as done, muting, or following topics/people—Marzo learns what’s useful and what’s not.
Example: Mute something twice, and Marzo deprioritizes similar items in the future.
No manual setup required: Just use Marzo naturally. Over time, it gets better at filtering noise and surfacing signals, entirely based on your real work.