ClairvoyAI
  • Executive Summary
  • Introduction
  • Core Components And Features
    • Multi-Model Support
    • Custom Model Integration
    • Context-Aware Search
    • Real-Time Data Retrieval
    • Spaces for Collaboration
    • Pro Search Tools
    • Focus Modes
    • Crypto Research and Analytics
  • Architectural Framework
    • ClairvoyAI Technical Architecture
    • AI Model Selection and Integration
    • ClairvoyAI’s Functional Landscape
  • ClairvoyAI Roadmap
  • Tokenomics
  • official links
    • Website
    • X
    • Telegram
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  • Core Focus Modes
  • Customization and Extensibility
  • Applications of Focus Modes
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  1. Core Components And Features

Focus Modes

ClairvoyAI’s Focus Modes allow users to tailor their search experience by utilizing pre-configured pipelines optimized for specific domains and tasks. These modes ensure that data retrieval and processing align with the user's intent, providing precise and relevant results.

Core Focus Modes

All Mode

  • Description: The default search mode that queries across all available internet sources.

  • Use Case: General-purpose searches requiring no domain-specific adjustments.

  • Technical Workflow:

    • Queries are routed through ClairvoyAI's generalized retrieval pipeline.

    • Results are ranked and filtered for relevance using semantic similarity and source credibility scoring.

Academic Focus

  • Description: Designed for academic research, focusing on peer-reviewed journals, preprints, and scholarly articles.

  • Use Case: Suitable for students, researchers, and professionals conducting scholarly investigations.

  • Data Sources: Integrates with PubMed, arXiv, IEEE Xplore, etc.

  • Technical Workflow:

    • API connectors fetch data from academic repositories.

    • Summaries are enriched with metadata, such as citation formats and abstract extraction.

Writing Focus

  • Description: A creative and technical writing assistant that operates independently of external web searches.

  • Use Case: Ideal for drafting essays, brainstorming, and generating structured content.

  • Technical Workflow:

    • Language models generate content directly from prompts.

    • Context and tone adjustments are applied based on user-specified preferences (e.g., formal, casual, or technical).

Wolfram Alpha Integration

  • Description: A mode for computational and analytical tasks powered by the Wolfram Alpha API.

  • Use Case: Solves mathematical problems, performs data analysis, and retrieves structured datasets.

  • Technical Workflow:

    • Preprocessing converts natural language queries into structured computational inputs.

    • API results are enhanced with visualizations or step-by-step explanations.

YouTube Focus

  • Description: A mode optimized for discovering and analyzing video content.

  • Use Case: Locating tutorials, lectures, or entertainment-related videos.

  • Technical Workflow:

    • Queries are routed to YouTube’s API, returning metadata, descriptions, and captions.

    • Transcripts are extracted and summarized using NLP pipelines.

Reddit Focus

  • Description: Dedicated to retrieving discussions, opinions, and community insights from Reddit.

  • Use Case: Ideal for sentiment analysis, community feedback, and trending topics.

  • Technical Workflow:

    • Integrates with Reddit’s API to extract posts, comments, and metadata.

    • Sentiment analysis models rank and filter comments based on relevance and tone.

Crypto Focus

  • Description: A mode specifically designed for blockchain and cryptocurrency-related data.

  • Use Case: Geared towards traders, analysts, and enthusiasts tracking market trends or token insights.

  • Technical Workflow:

    • Queries fetch live data from APIs like CoinGecko and Etherscan, etc.

    • Results include on-chain analytics, price history, and sentiment from social media.

Twitter (X) Mode

  • Description: A specialized mode for retrieving insights, trends, and discussions from Twitter (X).

  • Use Case: Ideal for tracking breaking news, social sentiment, or real-time updates on specific topics or hashtags.

  • Data Sources:

    • Integrates with Twitter’s API (X API) for live and historical tweets.

    • Supports querying by hashtags, user mentions, or trending topics.

  • Technical Workflow:

    • Queries are preprocessed to identify relevant filters (e.g., hashtags, user handles, time range).

    • Twitter’s API retrieves tweets and metadata (e.g., likes, retweets, timestamps).

    • Natural language processing models extract key insights, detect sentiment, and summarize content.

  • Example:

    • Query: "Latest tweets on #AIResearch."

    • Output: Summarized insights from top tweets, highlighting key trends or discussions.

Customization and Extensibility

Custom Modes

  • Users can create their own Focus Modes by defining source preferences, ranking algorithms, and query parameters.

  • Configurations are managed through YAML files or a UI-based customization tool.

Task-Specific Adjustments

  • Each mode supports user-defined preferences for data filters, source prioritization, and output formatting.

Hybrid Workflows

  • Users can combine Focus Modes for multi-domain retrieval.

  • Example: Querying both Academic and Twitter (X) data simultaneously.

Applications of Focus Modes

Educational Research

  • Academic and Writing Focus Modes streamline access to relevant papers and assist with content creation.

Market Analysis

  • Crypto and Twitter (X) Modes provide live market sentiment and on-chain analytics.

Media Monitoring

  • Reddit, YouTube, and Twitter (X) Modes support monitoring public discourse and viral trends.

Technical Problem Solving

  • Wolfram Alpha Integration provides precise computational support for engineers, researchers, and analysts.

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Last updated 3 months ago