Max connected operations
Follow a real connected Max operating loop across Gmail, Calendar, Activity, task preparation, settings, Directory, and connected systems.

Use this state to review what Max surfaced, what work moved forward, and which source context should be checked before acting.
Read the full product state before configuring behavior.
These captures are intentionally larger and quieter: no artificial labels, just the real screen, the controls that matter, and the operational outcome each state changes.

Use this state to review what Max surfaced, what work moved forward, and which source context should be checked before acting.
Summary
Follow a real connected Max operating loop across Gmail, Calendar, Activity, task preparation, settings, Directory, and connected systems.
Concepts covered
Step breakdown
- Start from connected HomeReview Gmail, Google Calendar, Activity preview, and time saved as live operational context.
- Inspect ActivityRead AI-generated email labeling as evidence: action type, timestamp, source context, and generated summary.
- Turn context into tasksUse To-do's to see pending work, completed work, due dates, related records, and teammate ownership.
- Review settings and connectionsCheck email labeling, drafting, follow-up controls, Directory handoff context, and the connected app data flow.
About this walkthrough
This lesson uses real connected Max state: Gmail and Google Calendar are connected, Activity contains AI-generated email labeling, To-do's shows pending and completed work with related records, Settings controls email behavior, Directory supports handoff context, and Connections explains the data flow.
Operational playbook
Use Max connected operations as part of the Frontline Max Activity operating loop: inspect the current product state, confirm the source context, and decide what should happen next.
The goal is not to memorize screens. The goal is to understand how the product surface supports repeatable work, AI assistance, and accountable handoff.
Best practices
Start with the operational job before changing configuration. Name the owner, define the trigger or source context, and decide how the result should be reviewed.
Prefer narrow, inspectable setups over broad automation. Teammates should be able to explain why the system took an action from the visible product state.
Troubleshooting
If the result does not match expectation, check the source context first, then permissions, connected integrations, required fields, workflow logs, and any AI-generated output used by downstream steps.
When in doubt, compare the latest product state with the related record, activity, or workflow execution so debugging starts from evidence rather than guesswork.
Review loop
Use Max in a simple loop: orient on Home, review Activity, confirm To-do's, check connected context, then continue work or hand off with a clear next step.
AI-generated work should remain visible in Activity so teammates can audit what happened and avoid repeating context gathering.
Transcript
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FAQs
Why is Activity the flagship Max learning surface?
Activity shows AI-generated work as an inspectable timeline: connected email arrives, Max labels and summarizes it, and the result remains visible for review.
How do Connections change the Max experience?
Connections such as Gmail and Google Calendar give Max real operational signals for summaries, task preparation, suggested follow-up, and Activity history.
What should I review in Activity before acting?
Review what Max did, the source context, generated summaries, task changes, and whether the action needs confirmation. Activity should explain the path from context to work.
How do I know whether AI-generated work is complete?
Check whether the activity item shows the action taken, the related task or record, and any remaining follow-up. Suggested work should be reviewed before treating it as complete.
How does Activity support operational trust?
Activity creates an inspectable history of assistant work. Teammates can see actions, summaries, and context instead of relying on opaque AI output.
When should Activity lead to a workflow change?
If the same manual review or follow-up happens repeatedly, use Activity patterns to identify a workflow, task rule, or integration that should be automated.