Seek Protocol
  • Introduction
    • An introduction to Seek Protocol
    • Mission & Vision
    • Why Blockchain & Crypto?
  • Use Cases
    • For Creators
    • For Users
  • Technologies
    • SeekAR
      • Gameplay
      • Solana Seeker Phone
      • Airdrops
      • Gaming Assets
      • Web Based AR
      • Lazy Mode
    • SeekAI
      • Augmented Reality
      • AI Agents
      • Breathing life into characters
      • Gamification
      • Intelligence Across Domains
      • Autonomous Project Creation
      • Pioneering AI in Augmented Reality
    • SeekPanel
      • What is Geofencing?
      • Generate Your 3D Token
      • Global Segmentation
  • Blockchain
    • Onchain Power
    • Redeeming Collectables
    • AI Validation
    • Agent Wallets
    • $SEEK Token
      • Presale - How to buy
      • Price Increases
      • Vesting
      • Tokenomics
  • Revenue Generation
    • Seek Protocol Strategy
    • AI Agent Deployment
    • Licensing and Partnerships
    • Event-Based Revenue
    • DeFi Integration
    • Monetization Opportunities
  • Thank you for reading
    • Roadmap
    • Socials
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On this page
  • Behavior and Adaptation
  • Use Cases for AI Agents
  • Technical Overview and Formula
  • Intelligence Across Domains
  1. Technologies
  2. SeekAI

AI Agents

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Last updated 5 months ago

SeekAI's AI agents are dynamic, multifaceted entities designed to enhance user interaction across a wide range of platforms and applications. Their behavior is shaped by real-time data, user preferences, and environmental inputs, making them highly adaptable and versatile. From driving social media engagement to creating content and fostering AR experiences, SeekAI agents bring intelligence and creativity to every interaction.

Behavior and Adaptation

SeekAI agents utilize state-of-the-art AI algorithms to analyze context and deliver relevant, personalized responses. They can seamlessly transition between roles, enabling them to function as creators, companions, or guides, depending on the user’s needs.

Use Cases for AI Agents

  • Social Media Engagement:

    • Agents craft personalized responses to user queries, comments, and posts, boosting engagement.

    • They generate unique and trendy memes, leveraging cultural relevance and real-time trends to captivate audiences.

    • Bots manage communities, moderating discussions, and curating user-generated content.

  • Content Creation:

    • Agents act as content creators, generating blogs, articles, or social posts tailored to the brand's voice or user preferences.

    • They adapt content for various platforms, optimizing for audience behavior and platform algorithms.

    • Through collaboration with users, agents co-create AR-enhanced media like interactive videos or gamified tutorials.

  • SeekAR Experiences:

    • Agents guide users in AR environments, creating immersive narratives and quests.

    • They adapt AR overlays to user preferences, ensuring personalized and contextually relevant interactions.

    • Agents introduce gamified challenges and curate rewards based on user activity and progression.

  • Memes and Viral Content:

    • AI agents scan trending topics and cultural moments to generate shareable memes that resonate with target audiences.

    • They analyze the performance of past memes to refine their humor and delivery, making future content more impactful.

  • Community Building and Support:

    • Agents provide real-time assistance in forums and chat groups, offering solutions and guidance.

    • They manage and grow online communities by fostering engagement, running polls, and organizing events.

Technical Overview and Formula

The intelligence and decision-making of SeekAI agents are driven by a hybrid model that combines natural language processing (NLP), reinforcement learning, and context-based probabilistic modeling. Their actions are determined using the following formula:

A(t)=argmaxa∈A(Wc⋅C(a,Ct)+Wu⋅U(a,Ut)+We⋅E(a,Et))A(t) = argmax_{a ∈ A} (W_c ⋅ C(a, C_t) + W_u ⋅ U(a, U_t) + W_e ⋅ E(a, E_t)) A(t)=argmaxa∈A​(Wc​⋅C(a,Ct​)+Wu​⋅U(a,Ut​)+We​⋅E(a,Et​))

Where:

  • A(t)A(t)A(t): Action taken by the agent at time ttt.

  • AAA: Set of all possible actions.

  • C(a,Ct)C(a, C_t) C(a,Ct​): Relevance of action aaa to the current content context CtC_tCt​​ (e.g., memes, posts).

  • U(a,Ut)U(a, U_t) U(a,Ut​): Utility of action aaa based on user input or preferences UtU_tUt​

  • E(a,Et)E(a, E_t) E(a,Et​): Effectiveness of action aaa in achieving engagement goals within the environment EtE_tEt​​ (e.g., social media platform, AR scene).

  • Wc,Wu,WeW_c, W_u, W_e Wc​,Wu​,We​​: Weight factors for content, user input, and environment metrics, respectively.

This formula ensures that agents prioritize actions that maximize relevance, user satisfaction, and engagement, making their behavior context-aware and goal-oriented.

Intelligence Across Domains

SeekAI continuously updates its models using real-world data, trends, and user feedback, ensuring agents remain relevant and effective across diverse use cases. Their ability to learn and adapt empowers them to bridge the gap between technology and creativity, delivering meaningful, impactful interactions in social media, AR, content creation, and beyond.