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Overview

Page context allows AI agents to access other pages as reference material when generating content, enabling consistent style, template replication, and intelligent synthesis.

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How It Works

  1. Type /ai in any page editor
  2. Select your agent
  3. Click “Attach pages” to select reference pages
  4. Write your prompt
  5. Generate - AI reads attached pages and creates informed content
Behind the scenes, attached pages become available as tools the AI can read when generating content.

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Selecting Pages

Click “Attach pages” to browse: Workspace Pages: All workspace-level pages Dataset Pages: Pages attached to dataset records Search by title or browse. Select multiple pages for comprehensive context. How many pages?
  • 1-2 pages for templates and style guides
  • 3-5 pages for synthesis and analysis
  • More pages = more context but slower generation

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Common Use Cases

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Template Replication

Attached: "Q3 Product Update Template"
Prompt: "Create Q4 product update following this template with current Q4 data"

Result: New content matching template structure and style

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Style Consistency

Attached: "Company Writing Style Guide"
Prompt: "Write blog post about new feature launch, following our style guidelines"

Result: On-brand content matching voice and tone

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Information Synthesis

Attached: "Market Research", "User Interviews", "Competitor Analysis"
Prompt: "Create executive summary synthesizing key insights from these documents"

Result: Cohesive summary drawing from all sources

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Format Conversion

Attached: "Technical Specification"
Prompt: "Convert this spec into a non-technical executive brief"

Result: Simplified version for different audience

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Best Practices

Optimize pages: Clear headings, current content, remove outdated information, include examples. Be explicit: “Reference the ‘Voice and Tone’ section in the style guide to match our conversational-yet-professional style” Review output: Verify context was used correctly, check application, ensure completeness, validate integration.

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Advanced Patterns

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Layered Context

Build context in layers for sophisticated generation: 
Attached:
  - "Brand Voice Guide" (Foundation)
  - "Product Technical Specs" (Domain)
  - "Q4 Metrics" (Specific)

Prompt: "Write product launch announcement with brand voice, technical accuracy, and Q4 performance data"

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Progressive Refinement

Iterate to improve content:
  1. Generate with basic context
  2. Save result as new page
  3. Attach generated page + refinement guides
  4. Regenerate with improvements

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Context Specialization

Match context to content type: Creative: Brand stories, successful campaigns, tone examples Technical: Architecture docs, API specs, code patterns Business: Financial reports, market data, analysis frameworks Educational: Learning objectives, lesson plans, curriculum guides

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Common Issues

AI doesn’t use pages: Explicitly mention pages in prompt (“Based on the attached template…”) Doesn’t match template: Be specific (“Follow the exact section structure from the template”) Too much context: Reduce to essential pages, focus context in prompt Lacks originality: Ask for creative interpretation, provide new information

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Next Steps

AI Content Generation

Learn AI content techniques

Creating Pages

Build reference page library

Understanding Pages

Pages concepts and capabilities

Creating Agents

Configure agents for generation