Methodology
How Structural Maturity Is Assessed
The RAMTSE framework defines the structure of maturity. The methodology defines how that structure is examined in real systems.
AgentIQIndex evaluates architectural patterns within agent codebases to assess structural design decisions. The focus is not on business logic or feature completeness, but on how the system is built.
The evaluation is evidence-based, directional, and designed to evolve over time.
Evaluation Approach
The assessment analyzes source code to identify structural indicators associated with each RAMTSE dimension.
We examine whether the system demonstrates:
The analysis is static.
It does not execute the agent, simulate workflows, or evaluate runtime outputs.
It evaluates architecture — not behavior.
Structural Indicators
Each RAMTSE dimension is supported by identifiable architectural signals.
These signals reflect implementation choices such as:
Signals are aggregated to produce a maturity assessment for each dimension.
A stronger and more consistent structural pattern results in a higher maturity indication.
The presence of signals suggests intentional design. Their absence may indicate structural gaps — or unconventional implementation.
Scoring Interpretation
Scores represent relative structural maturity within the framework.
They:
They do not:
The purpose of scoring is clarity — not ranking.
Confidence Indicators
Because the evaluation is based on structural detection rather than runtime observation, each dimension includes a confidence indicator.
Confidence reflects:
Lower confidence does not imply poor design. It may indicate custom or non-standard implementations.
What Is Not Evaluated
AgentIQIndex does not assess:
Static analysis cannot capture emergent behavior or runtime dynamics.
The framework should be used as a structural lens — not a certification.
Iterative Refinement
Agent systems are evolving rapidly.
The RAMTSE framework and its implementation will continue to evolve as architectural patterns mature and new best practices emerge.
Future iterations may incorporate additional dimensions such as runtime observability or governance indicators where appropriate.
Agent systems are engineered systems operating across time.
Sustained reliability depends on structure, not isolated demonstrations.
The methodology reflects that principle.
Apply the Framework
Understand the dimensions, then evaluate your system.