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Importance labels replace Gmail’s tabs with something smarter. Every incoming email is auto-classified by AI into categories like Important, Newsletter, or Billing — fully customizable, no rules or filters needed.

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How Classification Works

The AI reads sender, subject, and body, then assigns the most relevant label using:
  • Sender identity and your relationship
  • Email content and whether it requires action
  • Label descriptions you define
  • Training examples you provide
  • Feedback history from past corrections
Accuracy improves over time as you correct misclassifications.

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Default Labels

The Notifications column shows the starting setting for new accounts, which get notifications on for every default label. Accounts created earlier keep the notification settings they already had. Change any label in Settings > Labels. Most users enable 3-5 labels that match their workflow.
Importance label tabs in the inbox with unread counts

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Creating a Custom Label

1

Open Settings

Go to Settings > Labels (Cmd+,) and click Create Label (or press n l).
2

Name and Describe

Give it a name and write a specific description: “Emails from current paying customers about product issues or feature requests. Excludes sales prospects.”
3

Configure

Optionally enable notifications and auto-archive.
Good descriptions include what the label should and should not contain. “Investor stuff” is weak. “Emails from investors or board members about fundraising, board meetings, or financial updates — excludes cold outreach” is strong.

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Gmail Labels as Tabs

Your own Gmail labels can also become inbox tabs. In Settings > Labels, tick a Gmail label at the end of the list and it appears as a tab that shows the emails carrying that label. See Labels and AI classification.

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Training Examples

The most powerful accuracy tool. In Settings > Labels, click a label and add matched examples (emails that belong) and unmatched examples (emails that don’t). A few well-chosen examples outperform long descriptions.
Label settings page showing training examples with matched and unmatched entries

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The Feedback Loop

Every time you move an email between labels, the AI treats it as a correction. Drag the email to the correct tab, or press l/v to reassign. After a few corrections, the same misclassification rarely recurs.

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Per-Label Settings

AI Memories

Teach the AI about your preferences and contacts.

Why Primary Matters

How using Slashy full-time accelerates AI learning.

Inbox Zero Guide

Reach inbox zero using labels and AI.

Inbox Views

Navigate views, filters, and multi-inbox switching.