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V-Action

V-Action – Intelligent Video Agents

The V-Action module allows users to explore and interact with Intelligent Video Agents (IVAs). These agents are AI-powered digital assistants built using avatars and workflows to handle specific tasks or services.

Expression Rule Diagram

Key Features of V-Action:​

  1. Explore Intelligent Video Agents
    1. Displays a gallery of available agents with their names and roles.
    2. Example agents include:
      1. Adhi – Assembly Manager
      2. Kavya – eKYC Verification
      3. Alia – Payment Assistant
      4. Veda – Personal Tutor
      5. Arha – Smart OrderMate
      6. Rover – Journey Genie
      7. PLabs-CS – Customer Support Team
      8. Daicy – Fitness Trainer
  2. Agent Roles & Use Cases
    1. Each agent is designed to perform a specific business or service task.
    2. Examples of use cases:
      1. Manufacturing process management
      2. Digital identity verification (eKYC)
      3. Payment guidance
      4. Education and tutoring
      5. Customer support and service assistance
      6. Fitness and lifestyle coaching
  3. Seamless Integration
    1. Agents built here can be connected to analytics, video generation, and tenant workflows.
    2. They act as the human-like interface between users and backend AI models.

Example Agent – Adhi

Within V-Action, users can explore and deploy Intelligent Video Agents (IVAs). One such example is Adhi, designed for assembly-related tasks.

Expression Rule Diagram

Agent Profile – Adhi​

  1. Basic Details
    1. Name: Adhi
    2. Role: Assembly Manager
    3. Status: Published (ready to use)
    4. Language: English
    5. Domain: Assembly
    6. Users Count: 1 (currently assigned)
  2. Agent Goal
    1. Watch instructional videos.
    2. Read all related documents.
    3. Generate assembly manuals (e.g., phone or chair assembly).
  3. Skills
    1. Specialized in creating and managing manuals.
  4. Agent Generated Manuals
    1. Demo Phone Assembly
      1. Steps: 5
      2. Sessions: 664
    2. Chair Assembly Guide
      1. Steps: Detailed
      2. Sessions: 51
  5. Actions Available
    1. Assign: Allocate the agent to a specific user or team.
    2. Deploy: Launch the agent into a workflow so it can actively assist in real-world tasks.