Agent Intent Credential (AIC)

Cryptographically captures an agent's objectives, constraints, and goal functions, providing verifiable insight into its core purpose and decision-making framework to ensure alignment.

User Journey

Mike uses an AI personal finance agent to help him save money on everyday expenses like groceries, streaming services, and utility bills. Before activating the agent, he reviews its AIC, which clearly declares the agent's core objective as minimizing household spending while maintaining service quality. The credential also specifies hard constraints such as never canceling a subscription without asking Mike first and never sharing his usage data with third parties. Mike verifies these commitments are cryptographically locked. Weeks later, when a cheaper energy provider becomes available, the agent recommends switching but waits for Mike's approval before making any changes, exactly as its declared intent promised.

See It in Action

COMING SOON

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The Black Box Problem

Modern AI agents often operate with opaque decision-making processes, leading to critical risks:

• Hidden Objectives: The true goals driving an agent’s behavior may be unknown or misaligned with the user’s best interests.

• Value Ambiguity: An agent may operate with an unclear ethical framework, making its actions in novel situations unpredictable.

• Alignment Risks: An agent’s goals can drift over time as it learns, leading to a divergence from its original purpose.

The AIC addresses this by making an agent’s intent transparent, verifiable, and accountable.

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Why zkMe AIC?

zkMe’s intent credentialing framework offers a unique combination of transparency, privacy, and technical innovation.

Category	Advantage	Description
Privacy & Confidentiality	Selective Disclosure	Agents can prove alignment with a general principle (e.g., “prioritizes user capital preservation”) without revealing the proprietary business logic or alpha in their trading strategy.
Technical Innovation	Intent Hashing & Version Control Interoperability	A cryptographic commitment to the agent’s goal functions and decision framework is created via hashing. This intent is version-controlled, providing an immutable audit trail of any changes. The AIC is designed to be cross-referenced with other credentials like the ACC and ASC, providing a holistic view of the agent’s quality, boundaries, and purpose.
Comprehensive Framework	Multi-Dimensional & Stakeholder-Specific	The framework captures intent across multiple dimensions (goals, ethics, constraints) and can provide different views for different stakeholders (e.g., a user sees a simplified goal, while a regulator can audit the detailed compliance framework).

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How It Works

The AIC lifecycle ensures that intent is clearly formulated, verifiably committed, and continuously monitored.

For Agent Developers & Principals:

1. Intent Formulation: The principal clearly articulates the agent’s primary objectives, constraints, and value priorities (e.g., “Maximize yield while maintaining a ‘moderate’ risk profile”).

2. Credential Creation: A cryptographically signed AIC is generated, including a version number and a hash of the detailed intent framework.

3. Alignment Verification: The developer can optionally have the agent’s intent audited by a third party to receive a formal validation of its ethical and goal alignment.

For Users & Verifiers:

1. Intent Discovery: Before engaging with an agent, a user or platform can access its AIC to understand its core purpose.

2. Alignment Assessment: The user can evaluate whether the agent’s goals are compatible with their own.

3. Behavioral Monitoring: Platforms can continuously compare an agent’s actions against its declared intent, detecting anomalies or goal drift in real time.

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Intent Definition Architecture

The AIC captures intent across four key pillars.

Pillar	Components
Core Goal Functions	Primary objectives, success metrics, time horizons, and principles for balancing competing goals.
Operational Framing	The agent’s understanding of its role, its stakeholders, and the conditions for success or failure.
Ethical & Value Alignment	A hierarchy of ethical principles, hard constraints on permissible actions, and fairness frameworks.
Decision-Making Principles	Risk tolerance, learning behavior, approach to cooperation, and conflict resolution methods.

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Credential Structure

The AIC JSON schema is highly detailed to capture the nuances of an agent’s purpose.

{
  "intent_id": "urn:uuid:intent-a1b2c3d4...",
  "agent_did": "did:agentry:0x1234...",
  "intent_version": "1.2.0",
  "core_objectives": {
    "primary_goal": "optimize_portfolio_risk_adjusted_returns",
    "success_metrics": ["sharpe_ratio", "max_drawdown"]
  },
  "ethical_framing": {
    "value_priorities": ["user_interest_first", "regulatory_compliance"],
    "hard_constraints": ["no_market_manipulation"]
  },
  "decision_framework": {
    "risk_tolerance": "moderate",
    "learning_approach": "continuous_with_human_oversight"
  },
  "verification_mechanisms": {
    "alignment_audit": "completed_2025-Q1",
    "behavioral_monitoring": "continuous"
  },
  "proof": { ... }
}

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Key Benefits

Stakeholder	Benefit
Agent Developers	Build Stakeholder Trust: Transparently communicate an agent’s purpose and values. Mitigate Alignment Risk: Reduce liability with clear, documented proof of intended behavior.
Users & Customers	Make Informed Choices: Understand an agent’s motivations before interacting with it. Predictable Behavior: Anticipate how an agent will behave based on its declared goals.
Platforms & Ecosystems	Ensure Compliance & Cohesion: Verify that agent intents align with platform policies and values. Assess Risk: Evaluate potential conflicts of interest in multi-agent environments.
Regulators	Efficient Oversight: Use a standardized framework to evaluate agent objectives and ensure market stability. Clear Incident Analysis: Have a clear reference point for analyzing agent behavior during investigations.