Global Rules Configuration Guide

Estimated reading time: 12 minutes

Table of Contents

Quick Start

The Global Rules page controls system-wide email classification behavior across 10 configuration sections with 49 total settings. These rules apply to all emails and work in conjunction with per-category settings to provide comprehensive email automation and intelligent inbox organization.

What You'll Configure Essential classification settings, multi-category rules, content filtering, sender handling, automated actions, label management, notification preferences, and time-sensitive urgency labels.

Configuration Scope

Global Rules vs. Category Settings:

Getting Started Recommendations

  1. Start with Defaults: The system provides optimized default values tested across thousands of emails
  2. Focus on Sections 1, 2, 8 First: Basic Settings, Multi-Classification, and Notifications are most impactful
  3. Configure Urgency Labels Last: Section 9 (Time-Sensitive Labels) requires understanding of your email patterns
  4. Test Changes Incrementally: Modify one section at a time and monitor impact in Overview Dashboard
  5. Use "Reset to Defaults": Bottom of page button restores all settings to system defaults if needed
Pro Tip: The 80/20 Rule 80% of users only need to configure 5 key settings: skip_self_sent (Basic), multi-classification enabled (Multi-Classification), vip_senders (Sender Rules), notification preferences (Notifications), and urgency enabled (Time-Sensitive). Start there before diving into advanced options.

Section 1: Basic Settings (5 Fields)

Core configuration controlling email truncation, fallback behavior, and self-sent email handling.

Body Truncate Length Optional

Type: Number (characters)

Default: 4000

Purpose: Maximum email body characters sent to Gemini AI for classification (cost optimization)

Backend Use: Email truncated in main.py lines 583, 642 before AI processing

Recommendations:

  • 3000-4000: Optimal for most use cases (captures key content, controls costs)
  • 5000-8000: Longer emails (legal documents, detailed reports) needing full context
  • 1000-2000: Short emails only (newsletters, notifications) for maximum cost savings

Note: Gemini 1.5 Flash handles long context efficiently; 4000 chars captures 95% of email content while maintaining performance

Fallback Enabled Optional

Type: Checkbox (boolean)

Default: true

Purpose: Enable fallback classification when AI confidence is below all category thresholds

Backend Use: Checked in main.py line 1297; triggers fallback category assignment

When to Enable: Ensures ALL emails get at least one label (recommended for comprehensive organization)

When to Disable: Only highly-confident classifications desired; low-confidence emails remain unlabeled

Fallback Category Optional

Type: Dropdown (category list)

Default: "Uncategorized" or "Other"

Purpose: Category applied when fallback is triggered (requires Fallback Enabled = true)

Backend Use: Applied in main.py line 1300 with fallback confidence score

Best Practice: Create an "Uncategorized" or "Review Needed" category specifically for fallback cases

Fallback Confidence Optional

Type: Number (0-100)

Default: 50

Purpose: Confidence score assigned to fallback classifications

Backend Use: Used in main.py line 1301 when recording fallback classification

Typical Range: 40-60 (indicates lower-confidence classification)

Analytics Impact: Affects your average confidence metric in Overview Dashboard

Skip Self-Sent Optional

Type: Checkbox (boolean)

Default: true

Purpose: Skip classification for emails you send to yourself

Backend Use: Checked in main.py line 1167; emails from your own address are not processed

Recommendation: Enable (checked) for most users to avoid classifying test emails, reminders, and self-forwarded messages

Use Case to Disable: If you frequently email yourself important reminders that need classification

Section 2: Multi-Classification Rules (3 Fields)

Controls whether emails can be assigned multiple categories simultaneously and sets limits/thresholds.

Multi-Classification Enabled Core Feature

Type: Checkbox (boolean)

Default: true

Purpose: Allow AI to apply multiple categories to a single email

Backend Use: Loaded in main.py line 576 via multi_config; controls classification logic

Recommendation: Enable for most use cases (emails often span multiple topics)

Example: Email about "Q4 client project budget review deadline Friday" could receive: Client Communications + Financial + Action Required

Max Classifications Per Email Optional

Type: Number (1-10)

Default: 3

Purpose: Maximum number of categories applied to one email (requires Multi-Classification Enabled = true)

Backend Use: Enforced during classification; AI returns top N categories by confidence

Recommendations:

  • 2-3: Most common (prevents over-labeling)
  • 4-5: Complex business emails spanning many topics
  • 1: Single-category mode (effectively disables multi-classification)

Min Confidence Threshold Optional

Type: Number (0-100)

Default: 70

Purpose: Global minimum confidence for any classification (overrides per-category thresholds if higher)

Backend Use: Categories below this threshold are excluded even if they exceed their per-category threshold

Use Case: Set global baseline (e.g., 75%) to ensure all classifications meet minimum quality bar

Interaction: If global = 75% and category = 70%, the higher value (75%) is used

Section 3: Content Filtering (4 Fields)

HTML and text preprocessing options applied before sending email content to AI classifier.

Ignore Quoted Text Optional

Type: Checkbox (boolean)

Default: true

Purpose: Remove quoted reply text ("> Original message...") before classification

Backend Use: Text preprocessing during email parsing

Recommendation: Enable to focus classification on new content, not email history

Remove HTML Tags Optional

Type: Checkbox (boolean)

Default: true

Purpose: Strip HTML tags and convert to plain text before classification

Backend Use: HTML parsing extracts text content, removes markup

Recommendation: Enable (HTML tags don't help classification and add token count)

Ignore Signatures Optional

Type: Checkbox (boolean)

Default: true

Purpose: Attempt to remove email signatures before classification

Backend Use: Signature detection heuristics (common patterns: "--", "Sent from", "Best regards")

Recommendation: Enable to focus on email body content

Note: Not 100% accurate; some signatures may remain if non-standard format

Normalize Whitespace Optional

Type: Checkbox (boolean)

Default: true

Purpose: Collapse multiple spaces/newlines to single space

Backend Use: Text normalization reduces token count

Recommendation: Enable (whitespace doesn't affect classification accuracy)

Section 4: Date Labeling (1 Field)

Controls date-based label creation for emails with detected dates/deadlines.

Date Labeling Enabled Optional

Type: Checkbox (boolean)

Default: false

Purpose: Create Gmail labels for detected action dates (e.g., "Due: Jan 15")

Backend Use: Date extraction from email content; label created with date

Recommendation: Enable if you want visual date indicators in Gmail

Note: Separate from Time-Sensitive Labels (Section 9) which focus on urgency thresholds

Section 5: Sender-Specific Rules (5 Fields)

Configure special handling for VIP senders, trusted domains, spam indicators, and emails/domains to skip.

VIP Senders Optional

Type: Comma-separated email list

Default: (empty)

Purpose: Email addresses to treat as high priority

Backend Use: Checked in main.py line 630; VIP emails included in AI prompt context

Example: boss@company.com, ceo@company.com, topclient@client.com

Effect: AI considers VIP status during classification; may influence confidence/priority

Trusted Domains Optional

Type: Comma-separated domain list

Default: (empty)

Purpose: Domains to treat as legitimate (opposite of spam)

Backend Use: Checked in main.py line 631; influences spam detection

Example: company.com, client-domain.com, partner.com

Use Case: Ensure emails from internal/partner domains aren't misclassified as spam

Spam Indicators Optional

Type: Comma-separated keyword list

Default: (empty - system has built-in spam detection)

Purpose: Additional keywords/phrases indicating spam emails

Backend Use: Checked in main.py line 632; supplements AI spam detection

Example: viagra, casino, click here to claim, you've won

Effect: Emails containing these terms more likely classified as spam/low priority

Skip Classification Emails Optional

Type: Comma-separated email list

Default: (empty)

Purpose: Specific email addresses to exclude from classification entirely

Backend Use: Checked in main.py line 1126; emails from these senders are not processed

Example: noreply@service.com, notifications@system.com

Use Case: Skip automated system emails that don't need organization

Skip Classification Domains Optional

Type: Comma-separated domain list

Default: (empty)

Purpose: Entire domains to exclude from classification

Backend Use: Checked in main.py line 1127; emails from these domains are not processed

Example: noreply-service.com, automated-systems.com

Use Case: Bulk exclude notification domains (e.g., social media, monitoring alerts)

VIP Senders Strategy Add your manager, key clients, and executives to VIP Senders. Combine with category-level "Mark Important" action to ensure VIP emails are flagged in Gmail automatically.

Section 6: Processing Rules (9 Fields)

Controls action execution scope, auto-draft confidence thresholds, priority keywords, and primary-category-only action flags.

Apply Actions to All Classifications Optional

Type: Checkbox (boolean)

Default: false

Purpose: When multi-classification is enabled, execute actions for ALL applied categories vs. only primary (highest confidence) category

Backend Use: Controls action execution scope throughout main.py

Recommendation: Keep disabled (false) to avoid duplicate actions (e.g., multiple auto-drafts for one email)

When to Enable: Advanced use cases where you want all category actions executed (e.g., multiple webhooks)

Min Confidence for Auto-Draft Optional

Type: Number (0-100)

Default: 85

Purpose: Minimum confidence required to trigger automatic draft reply creation

Backend Use: Checked in main.py line 1381 before creating draft

Recommendation: 80-90% (higher threshold prevents inappropriate draft creation)

Note: Category must also have "Auto-Draft Reply" enabled

High Priority Keywords Optional

Type: Comma-separated keyword list

Default: urgent, asap, critical, emergency, immediate

Purpose: Keywords indicating high-priority emails

Backend Use: Checked in main.py line 645; influences priority detection

Example: urgent, asap, critical, important, deadline today, time-sensitive

Effect: Emails with these keywords may be classified as higher priority

Low Priority Keywords Optional

Type: Comma-separated keyword list

Default: newsletter, unsubscribe, fyi, optional, when you have time

Purpose: Keywords indicating low-priority emails

Backend Use: Checked in main.py line 646; influences priority detection

Example: newsletter, fyi, optional, no rush, informational

Effect: Emails with these keywords may be classified as lower priority

Primary-Category-Only Action Flags (5 Checkboxes)

These checkboxes control whether specific actions only execute for the primary (highest confidence) category in multi-classification scenarios. All default to false (actions execute for all categories).

Field Default Purpose
Primary Only: Auto-Draft false Only create auto-draft for primary category (prevents multiple drafts)
Primary Only: Mark Important false Only mark important for primary category (Gmail Important flag)
Primary Only: Archive false Only auto-archive for primary category (prevents accidental archiving)
Primary Only: Webhook false Only send webhook for primary category (reduces webhook volume)
Primary Only: Forward false Only forward for primary category (⚠️ future feature)
Important: Action Control Interaction "Apply actions to all classifications" (top of this section) is the master toggle. If disabled, actions only execute for primary category regardless of these individual flags. These flags only matter when "Apply actions to all" is enabled.

Section 7: Label Management (7 Fields)

Category-level action overrides and priority label creation settings.

Mark Important Categories Optional

Type: Multi-select dropdown

Default: (empty)

Purpose: Always mark emails from these categories as Important in Gmail (overrides category settings)

Backend Use: Checked during label application; Gmail Important star applied

Use Case: Quickly configure important categories without editing each category individually

Auto-Archive Categories Optional

Type: Multi-select dropdown

Default: (empty)

Purpose: Always auto-archive emails from these categories after labeling

Backend Use: Removes INBOX label via Gmail API

Use Case: Bulk configure archive behavior (e.g., Newsletters, Notifications, Receipts)

Auto-Mark Read Categories Optional

Type: Multi-select dropdown

Default: (empty)

Purpose: Automatically mark emails from these categories as read

Backend Use: Gmail API call to mark as read after classification

Use Case: Low-priority categories you want labeled but don't need to read (e.g., automated reports, monitoring alerts)

Create Priority Labels Optional

Type: Checkbox (boolean)

Default: true

Purpose: Create separate Gmail labels for priority levels (High/Medium/Low)

Backend Use: Priority labels created based on category priority settings

Effect: Emails get both category label AND priority label (e.g., "Client Communications" + "Priority: High")

Priority Color: High Optional

Type: Color picker

Default: Red (#EA4335)

Purpose: Gmail label color for "Priority: High" label

Recommendation: Red or orange for visibility

Priority Color: Medium Optional

Type: Color picker

Default: Yellow (#FBBC04)

Purpose: Gmail label color for "Priority: Medium" label

Recommendation: Yellow or blue for moderate attention

Priority Color: Low Optional

Type: Color picker

Default: Gray (#9E9E9E)

Purpose: Gmail label color for "Priority: Low" label

Recommendation: Gray or light blue for low visibility

Section 8: Notification Settings (7 Fields)

Configure Telegram notification triggers for various classification events. Requires Telegram configured in Settings page.

Daily Summary Enabled Optional

Type: Checkbox (boolean)

Default: true

Purpose: Receive daily email summary via Telegram at midnight (your timezone)

Backend Use: daily_summary Cloud Function checks this setting

Content: Emails processed, classifications by category, top senders, confidence stats

Requirement: Telegram bot token and chat ID configured in Settings

Notify on High Priority Optional

Type: Checkbox (boolean)

Default: true

Purpose: Instant Telegram notification when high-priority email is classified

Backend Use: Checked in notification_manager.py after classification

Message Includes: Sender, subject, category, confidence, priority level

Notify on Classification Failure Optional

Type: Checkbox (boolean)

Default: false

Purpose: Telegram alert when email classification fails (AI error, timeout, etc.)

Backend Use: Error handler sends notification on exception

Use Case: Monitoring/debugging; disable after system is stable

Notify on Tier 1 Urgency Optional

Type: Checkbox (boolean)

Default: true

Purpose: Instant notification when email triggers Tier 1 urgency label (most urgent)

Backend Use: Checked in main.py after urgency label application

Requirement: Section 9 (Time-Sensitive Labels) must be enabled

Notify on Tier 2 Urgency Optional

Type: Checkbox (boolean)

Default: true

Purpose: Instant notification when email triggers Tier 2 urgency label

Backend Use: Checked in main.py after urgency label application

Requirement: Section 9 (Time-Sensitive Labels) must be enabled

Notify on Multiple Classifications Optional

Type: Checkbox (boolean)

Default: false

Purpose: Notification when email receives multiple categories (multi-classification event)

Backend Use: Checked when classification count > 1

Use Case: Monitoring multi-classification patterns; usually disabled after tuning

Notify on Classification Conflicts Optional

Type: Checkbox (boolean)

Default: false

Purpose: Notification when conflicting categories are detected (relationship violation)

Backend Use: Checked when category conflicts are resolved

Use Case: Debugging category relationships; disable after configuration is stable

Notification Strategy Enable daily summary + high priority + urgency tiers for most users. Disable debugging notifications (failures, conflicts) once your configuration is stable to reduce notification noise.

Section 9: Time-Sensitive Labels - Two-Tier System (7 Fields)

Advanced urgency labeling based on AI-detected action dates and configurable time thresholds. Creates two tiers of urgency labels.
How It Works The AI extracts action dates from email content (e.g., "Please respond by Friday"). Based on days until that date, the system applies Tier 1 (most urgent) or Tier 2 (moderately urgent) labels with custom colors.

Urgency Enabled Master Toggle

Type: Checkbox (boolean)

Default: false

Purpose: Enable entire two-tier urgency label system

Backend Use: Master toggle checked in main.py line 1443

Effect: When enabled, AI extracts urgency_date from emails and applies tier labels based on thresholds

Tier 1: Most Urgent

Tier 1 Threshold Days Required

Type: Number (days)

Default: 2

Purpose: Apply Tier 1 label if action date is within this many days

Backend Use: Date comparison in main.py line 1458

Example: If set to 2, emails with action dates within 2 days receive Tier 1 label

Recommendation: 1-3 days for most urgent items

Tier 1 Label Name Optional

Type: Text

Default: "⚡ URGENT - Action Required"

Purpose: Gmail label name for Tier 1 urgency

Recommendation: Use emoji or clear prefix for high visibility

Tier 1 Label Color Optional

Type: Color picker

Default: Red (#EA4335)

Purpose: Gmail label color for Tier 1 urgency

Recommendation: Red or bright orange for maximum visibility

Tier 2: Moderately Urgent

Tier 2 Threshold Days Required

Type: Number (days)

Default: 7

Purpose: Apply Tier 2 label if action date is within this many days (but beyond Tier 1 threshold)

Backend Use: Date comparison in main.py line 1459

Example: If Tier 1 = 2 and Tier 2 = 7, emails with action dates in 3-7 days receive Tier 2 label

Recommendation: 5-10 days for moderate urgency

⚠️ Validation: Must be ≥ Tier 1 threshold (enforced in dashboard)

Tier 2 Label Name Optional

Type: Text

Default: "⏰ Time-Sensitive"

Purpose: Gmail label name for Tier 2 urgency

Recommendation: Less intense than Tier 1 (e.g., clock emoji vs. lightning)

Tier 2 Label Color Optional

Type: Color picker

Default: Orange (#FBBC04)

Purpose: Gmail label color for Tier 2 urgency

Recommendation: Orange or yellow (less intense than Tier 1 red)

Urgency Label Logic

Action Date Days Until Label Applied Example
Within Tier 1 threshold 0-2 days Tier 1 only "Respond by tomorrow" → ⚡ URGENT
Within Tier 2 threshold 3-7 days Tier 2 only "Deadline Friday" (today is Monday) → ⏰ Time-Sensitive
Beyond Tier 2 threshold 8+ days None "Submit by next month" → No urgency label
No date detected N/A None Email without deadline → No urgency label
Date Extraction Accuracy The AI extracts dates using natural language processing. Accuracy is typically 85-95% for explicit dates ("by Friday", "deadline March 15"). Vague references ("soon", "when you can") may not trigger urgency labels. Always review emails manually for critical deadlines.

Section 10: System Prompt (1 Field)

Custom instructions sent to Gemini AI to guide classification behavior. Advanced feature for business-specific context.

System Prompt Advanced

Type: Textarea

Default: (system default prompt)

Character Limit: 1000 characters (configurable up to 5000 for admin users)

Purpose: Provide business context or classification guidance to the AI

Backend Use: Prepended to classification prompt in main.py lines 656-661

Storage: Saved to tenant_users/{tenant_id}_{email}/config/prompts

Fallback: If empty, system uses default prompt

Truncation: If exceeds limit, automatically truncated (main.py lines 683-686)

System Prompt Examples

Example 1: Business Context

You are classifying emails for a software development consulting firm. Key context: - "Client Projects" refers to active billable client work - "Internal" includes team communication, HR, and company updates - "Sales" includes prospective client inquiries and proposals - Prioritize emails from current clients over prospective leads - Consider deadline mentions as high priority

Example 2: Industry-Specific

You are classifying legal emails. Important considerations: - Court-related emails are always high priority - Client communications must be confidential and properly categorized - Distinguish between billable client work and administrative tasks - Urgent matters include court filings, depositions, and hearings

Example 3: Personal Email

Personal email classification guidelines: - Family/friends emails are high priority - Financial matters (banking, investments) should be clearly categorized - Travel confirmations need special attention around trip dates - Newsletters are low priority unless from specific subscriptions I've flagged
System Prompt Best Practices Keep prompts concise (3-5 bullet points), focus on business context not classification instructions (AI already knows how to classify), provide specific examples, and test changes with sample emails to verify impact.

When to Use: You have specialized industry terminology, specific prioritization rules, or business context that would help the AI make better classification decisions.

When to Skip: Default system prompt works well for most users. Only customize if you notice consistent misclassifications that context could fix.

Best Practices

Configuration Workflow

Phase 1: Essential Settings (15 minutes)

  1. Basic Settings: Enable "Skip Self-Sent", set Body Truncate to 4000
  2. Multi-Classification: Enable with Max = 3
  3. Sender Rules: Add VIP senders (boss, key clients)
  4. Notifications: Enable Daily Summary + High Priority
  5. Test: Send test emails, verify in Overview Dashboard

Phase 2: Optimization (30 minutes)

  1. Label Management: Configure auto-archive categories (Newsletters, Notifications)
  2. Processing Rules: Set Min Confidence for Auto-Draft to 85%
  3. Content Filtering: Enable all filters (default recommended)
  4. Monitor: Review metrics for 3-5 days

Phase 3: Advanced Features (45 minutes)

  1. Urgency Labels: Enable two-tier system, set Tier 1 = 2 days, Tier 2 = 7 days
  2. System Prompt: Add business context if needed
  3. Fine-tune: Adjust confidence thresholds based on performance

Common Configuration Patterns

Personal Gmail

Small Business

High-Volume Business

Troubleshooting Confidence Issues

If average confidence is LOW (<80%):
  • Lower Min Confidence Threshold (Global Rules Section 2) to 65-70
  • Lower per-category confidence thresholds (Categories page)
  • Review category descriptions for clarity (Categories page)
  • Reduce number of categories (consolidate similar ones)
If average confidence is TOO HIGH (>98%):
  • Categories may be too broad/obvious (add more specific categories)
  • Multi-classification may be underutilized (increase max classifications)
  • System may be over-confident (normal for well-configured systems)

Performance Optimization

Goal Configuration Trade-off
Reduce Costs Lower Body Truncate (2000-3000), skip more domains, disable debug notifications May miss context in long emails
Maximize Accuracy Higher Body Truncate (5000+), lower confidence thresholds, enable system prompt Higher API costs, slower processing
Reduce Notification Noise Disable debug notifications, only enable high priority + urgency tier 1 May miss classification issues
Inbox Zero Aggressive auto-archive (multiple categories), auto-mark read for low priority Risk of missing important emails

FAQs & Troubleshooting

Q: What's the difference between Global Rules and Category settings?

A: Global Rules apply to ALL emails and ALL categories (system-wide behavior). Category settings apply only to specific categories (per-category behavior). For example, "Enable multi-classification" is global; "Auto-archive Newsletters" is category-specific.

Q: I changed a setting but emails are still processed the old way. Why?

A: Changes apply only to NEW emails processed after saving. Existing emails are not retroactively reprocessed. Wait for new emails to arrive (or send test emails) to verify your configuration changes.

Q: How do I reset all settings to defaults?

A: Scroll to the bottom of the Global Rules page and click the "Reset to Defaults" button. This restores all 49 fields to system default values. This action cannot be undone, so download a backup of your configuration first if needed.

Q: What happens if I set Body Truncate Length too low?

A: The AI only sees the first N characters of the email body. For very long emails, important context at the end may be missed, leading to misclassification. The AI will indicate if context was truncated. Recommended minimum: 2000 characters.

Q: Can I have different rules for different categories?

A: Global Rules apply universally. For per-category behavior, use the Categories page configuration (Actions tab, Rules tab). For example, you can't set different body truncate lengths per category, but you can enable auto-draft for some categories and not others.

Q: How does "Apply actions to all classifications" interact with "Primary Only" flags?

A: "Apply actions to all" is the master toggle. If disabled, actions only execute for the primary category, period. If enabled, the "Primary Only" flags control individual action types. Most users should keep "Apply to all" disabled to avoid duplicate actions.

Q: Why isn't my urgency label being applied?

A: Check: (1) Urgency Enabled is checked, (2) Email contains a detectable action date (e.g., "by Friday", "deadline March 15"), (3) Date is within your threshold ranges (Tier 1 or Tier 2), (4) Gmail watch is connected. Test with an obvious example: "Please respond by tomorrow."

Q: What's the recommended Body Truncate Length?

A: 4000 characters (default) is optimal for most users. This captures the full content of 95% of emails while controlling API costs. Increase to 6000-8000 for legal/technical emails with extensive details. Decrease to 2000-3000 for short emails (newsletters, notifications) to save costs.

Q: Can I use wildcards in skip classification domains/emails?

A: No, exact matching only. For domains, "example.com" matches all emails from "*@example.com". For emails, you must list each specific address. To skip multiple related addresses, list them all or use the domain field if they share a domain.

Q: How do I configure auto-draft to only work for specific categories?

A: Enable "Auto-Draft Reply" in the Actions tab of specific categories only (Categories page). Then in Global Rules → Processing Rules, set "Min Confidence for Auto-Draft" to your desired threshold (e.g., 85%). Auto-drafts will only be created for categories with the action enabled AND emails meeting the confidence threshold.

Q: What's the character limit for System Prompt and why?

A: Default limit is 1000 characters (configurable to 5000 for admin users). This ensures the prompt doesn't consume excessive API tokens. Focus on concise business context (3-5 bullet points) rather than lengthy instructions. The AI already knows how to classify; your prompt just provides domain-specific context.

Q: Should I enable or disable fallback classification?

A: Enable if you want every email to receive at least one label (comprehensive organization). Disable if you only want high-confidence classifications (some emails may remain unlabeled). Most users should enable with a "Review Needed" or "Uncategorized" fallback category.

Q: How do VIP senders affect classification?

A: VIP status is included in the AI classification prompt as context. The AI considers this when determining priority and category. VIP doesn't guarantee specific classification, but influences the AI to treat those emails with higher importance. Combine with category-level "Mark Important" for guaranteed Gmail starring.

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