Linear Chats
Linear Chats provide a familiar, traditional chat interface within ThoughtFabric, perfect for focused conversations that don't require the visual complexity of the infinite canvas. Think of it as your streamlined AI conversation tool for when you need concentrated, sequential dialogue.
When to Use Linear Chats
Linear Chats are ideal for:
Ideal Use Cases
- Focused Work: Deep, concentrated conversations without visual distractions
- Writing Tasks: Drafting, editing, and refining text-based content
- Quick Questions: Rapid Q&A sessions and information lookup
- Brainstorming: Sequential idea development and exploration
Features of Linear Chats
Core Functionality
Traditional Chat Experience:
- Sequential Messages: Conversations flow in chronological order
- Full-Screen Mode: Distraction-free interface for deep focus
- Keyboard Navigation: Efficient typing and navigation experience
- Message History: Complete conversation history with search capabilities
AI Integration
Powerful AI Capabilities:
- Model Selection: Choose from all your configured AI providers
- Context Awareness: Maintain conversation context throughout sessions
- Smart Responses: Benefit from ThoughtFabric's enhanced AI interactions
- Cross-Reference: Reference content from your canvas and threads
Interface Overview
Chat Window
Clean, Focused Design:
- Message Area: Clear display of conversation history
- Input Field: Streamlined text input with formatting support
- Send Options: Various ways to send and format messages
- Settings Access: Quick access to chat preferences and AI model selection
Navigation Controls
Efficient Movement:
- Scroll Navigation: Smooth scrolling through conversation history
- Jump to Date: Quick navigation to specific timeframes
- Search Messages: Find specific content within conversations
- Export Options: Save conversations in various formats
Working with Linear Chats
Starting a Conversation
Access Methods
- From Canvas: Click the chat toggle button to switch to linear mode
- Direct Launch: Access linear chat directly from the main interface
- Thread Expansion: Expand any canvas thread into full linear chat mode
Setting Up Your Session
- Choose AI Model: Select your preferred AI provider and model
- Set Context: Add any relevant context from your canvas or documents
- Configure Preferences: Adjust chat settings for optimal experience
- Begin Conversation: Start your focused AI interaction
Message Management
Composing Messages
Enhanced Text Input:
- Rich Text Support: Basic formatting options for clearer communication
- Multi-line Input: Compose longer messages with proper formatting
- Draft Saving: Automatic saving of message drafts
- Quick Commands: Use shortcuts for common actions
Message Operations
Flexible Message Handling:
- Edit Messages: Modify sent messages to refine your queries
- Copy Content: Extract text from AI responses for use elsewhere
- Pin Messages: Mark important responses for quick reference
- Delete Messages: Remove unwanted messages from conversation history
Context Integration
Adding Context to Linear Chats
Seamless Context Import:
- Canvas Integration: Reference threads and blocks from your infinite canvas
- Document Context: Include content from uploaded files
- URL Context: Add web content and video transcripts
- Previous Conversations: Reference earlier chat sessions
Context Management
Dynamic Context Control:
- Context Indicators: Visual cues showing active context
- Context Removal: Easy removal of irrelevant context
- Context Search: Find and add specific context quickly
- Context History: Track context usage across sessions
Advanced Linear Chat Features
Conversation Organization
Session Management
Organized Chat History:
- Named Sessions: Give meaningful names to conversation sessions
- Session Folders: Organize related conversations together
- Session Search: Find specific conversations quickly
- Session Export: Save important conversations for future reference
Conversation Branching
Explore Different Paths:
- Branch Points: Create alternative conversation paths
- Compare Responses: Explore different AI responses to the same query
- Merge Conversations: Combine useful branches back into main conversation
- Branch History: Track and navigate between different conversation branches
Productivity Features
Keyboard Shortcuts
Efficient Navigation:
- Send Message:
Enter(configurable) - New Line:
Shift + Enter - Clear Input:
Escape - Search Chat:
Cmd/Ctrl + F - Model Switch:
Cmd/Ctrl + M
Quick Actions
Streamlined Workflow:
- Message Templates: Pre-written prompts for common tasks
- Response Formatting: Automatic formatting for specific content types
- Export Shortcuts: Quick export to various formats
- Context Shortcuts: Rapid context addition from recent sources
Integration with Canvas
Bidirectional Flow
Seamless Integration:
- Canvas to Chat: Expand any canvas thread into linear chat
- Chat to Canvas: Convert linear conversations into visual threads
- Synchronized Context: Maintain context consistency across interfaces
- Cross-Reference: Easy referencing between chat and canvas content
Content Transfer
Flexible Content Movement:
- Message to Block: Convert chat messages into canvas blocks
- Thread Integration: Merge linear conversations with canvas threads
- Context Sharing: Use linear chat context in canvas conversations
- Export Integration: Include linear chats in canvas exports
Use Cases and Workflows
Research and Analysis
Deep Dive Conversations:
- Literature Review: Discuss research papers and academic sources
- Data Analysis: Work through complex data interpretation
- Comparative Studies: Compare different approaches or solutions
- Hypothesis Development: Refine ideas through focused dialogue
Creative Projects
Iterative Development:
- Writing Projects: Develop and refine written content
- Concept Development: Explore creative ideas in depth
- Problem Solving: Work through complex challenges step-by-step
- Decision Making: Analyze options and make informed choices
Learning and Education
Focused Learning:
- Concept Exploration: Deep dive into specific topics
- Question Resolution: Work through difficult problems
- Study Sessions: Review and reinforce learning material
- Skill Development: Practice and improve specific abilities
Best Practices
Maximizing Linear Chat Effectiveness
Conversation Structure:
- Clear Objectives: Start conversations with specific goals
- Logical Flow: Maintain coherent conversation progression
- Context Clarity: Provide necessary context for AI understanding
- Regular Summaries: Periodically summarize key insights
Productivity Tips:
- Session Planning: Prepare context and questions before starting
- Regular Breaks: Take breaks during long conversation sessions
- Content Organization: Use folders and naming for easy retrieval
- Export Important Content: Save valuable insights for future reference
Troubleshooting
Common Issues
Performance Optimization
- Long Conversations: Break extremely long chats into focused sessions
- Context Overload: Remove unnecessary context for better performance
- Model Selection: Choose appropriate models for specific tasks
Content Management
- Lost Conversations: Use search and organization features to find content
- Context Confusion: Clear outdated context regularly
- Export Issues: Check formatting options for different export needs
Next Steps
Complete your ThoughtFabric mastery by exploring the full ecosystem:
Infinite Canvas
Transition between linear and visual thinking modes
Conversational Threads
Learn how linear chats integrate with thread systems
Contexts
Master context management across all interfaces
Focus Your Conversations! Use Linear Chats to dive deep into focused AI interactions while maintaining connection to your broader knowledge network.