Agent Autonomy Score

The TalentGenius Agent Autonomy Score measures how independently an AI agent can operate. It is composed of four key dimensions:

Role Coverage
Measures how advanced and multifaceted the agent's tasks and role simulation are.
  • Level 1Performs a single basic task (e.g., summarize text)
  • Level 2Executes a simple fixed workflow (2–3 steps)
  • Level 3Coordinates related tasks with logic/branching
  • Level 4Functions like a domain-specific role (e.g., developer)
  • Level 5Mimics a professional role across multiple domains
Self-Activation
Indicates how much the agent relies on external triggers or operates autonomously.
  • Level 1Requires manual user triggering each time
  • Level 2Performs a short sequence after prompt
  • Level 3Operates via scheduled or external trigger
  • Level 4Monitors and acts on changing inputs or contexts
  • Level 5Self-starts and self-recovers without input
User Independence
Reflects how much the agent needs user input, guidance, or feedback.
  • Level 1Needs constant feedback or instructions
  • Level 2Uses templates or guided prompts; user-dependent
  • Level 3Executes with human review after output
  • Level 4Acts with minimal oversight
  • Level 5Learns or adapts without user feedback
Mission Competence
Evaluates the agent's ability to interpret, adapt, and act toward achieving goals.
  • Level 1Executes only predefined tasks or commands
  • Level 2Follows a structured, linear workflow
  • Level 3Aware of goals, executes rigidly
  • Level 4Selects subgoals, adjusts execution
  • Level 5Converts abstract goals into independent plans and actions

How the Overall Score is Calculated

The overall Agent Autonomy Score is the average of the four core dimensions: Role Coverage, Self-Activation, User Independence, and Mission Competence. This combined score offers a concise way to compare agents across the autonomy spectrum, while reflecting their ability to operate independently and handle complex tasks.