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 1 Performs a single basic task (e.g., summarize text)
Level 2 Executes a simple fixed workflow (2–3 steps)
Level 3 Coordinates related tasks with logic/branching
Level 4 Functions like a domain-specific role (e.g., developer)
Level 5 Mimics a professional role across multiple domains

Self-Activation

Indicates how much the agent relies on external triggers or operates autonomously.

Level 1 Requires manual user triggering each time
Level 2 Performs a short sequence after prompt
Level 3 Operates via scheduled or external trigger
Level 4 Monitors and acts on changing inputs or contexts
Level 5 Self-starts and self-recovers without input

User Independence

Reflects how much the agent needs user input, guidance, or feedback.

Level 1 Needs constant feedback or instructions
Level 2 Uses templates or guided prompts; user-dependent
Level 3 Executes with human review after output
Level 4 Acts with minimal oversight
Level 5 Learns or adapts without user feedback

Mission Competence

Evaluates the agent's ability to interpret, adapt, and act toward achieving goals.

Level 1 Executes only predefined tasks or commands
Level 2 Follows a structured, linear workflow
Level 3 Aware of goals, executes rigidly
Level 4 Selects subgoals, adjusts execution
Level 5 Converts 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.