About
A Structural Approach to Agent Evaluation
AgentIQIndex is an independent research initiative focused on defining a structured framework for evaluating the engineering maturity of AI agent systems.
As agentic architectures evolve, discussions often center on model capability. Yet production systems depend equally on structural integrity — how decisions are orchestrated, how failures are contained, how memory persists, and how autonomy is bounded.
AgentIQIndex examines these system-level properties.
Why This Work Exists
Agent systems increasingly demonstrate impressive behavior in controlled environments. However, reliability in production depends on more than surface capability.
Stable agent systems require:
Despite rapid growth in the ecosystem, there is no widely adopted framework for assessing these dimensions in a structured way.
AgentIQIndex proposes one such framework.
The Framework
The RAMTSE Model
The framework evaluates agent systems across seven interrelated dimensions. Each dimension reflects observable engineering signals rather than marketing claims or isolated performance metrics.
Reasoning
Structured inference and decision traceability
Autonomy
Controlled execution and state transitions
Memory
Context persistence and retrieval coherence
Tool Use
Reliable and observable external interaction
Safety
Guardrails and behavioral constraints
Error Recovery
Failure containment and adaptive resilience
Planning
Multi-step task orchestration
The intent is not competitive ranking, but structural clarity.
Principles
Evidence Before Assertion
Evaluation is grounded in identifiable architectural patterns and implementation signals.
Structure Enables Trust
Autonomy without constraint leads to fragility. Coherent structure enables reliability.
Production Context Matters
Mature systems must handle failure, edge cases, and operational boundaries — not only ideal inputs.
Iterative Development
The framework is evolving and intended as a contribution to ongoing dialogue within the agent ecosystem.
Intended Audience
AgentIQIndex is designed for practitioners working at the intersection of AI systems and production engineering.
Engineers
Building agent systems
Architects
Evaluating production readiness
Researchers
Exploring system-level maturity
Technical Leaders
Seeking clearer evaluation vocabulary
Explore the Framework
See how the RAMTSE model evaluates agent system maturity.