Independent Research Initiative
A Practitioner-Led Research Collective
AgentIQIndex is an independent research initiative developed by a group of builders and systems architects working in applied AI.
Our work emerges from a practical observation: as agentic systems move from experimentation to deployment, structural maturity becomes as important as model capability.
While benchmarks evaluate what models can do in isolation, real-world agent systems must operate reliably across time, failure conditions, and external dependencies.
AgentIQIndex explores that structural layer.
Why We Built This
In practice, agent systems often demonstrate impressive behaviors in controlled environments, yet struggle under production constraints.
We observed recurring structural challenges:
These challenges are not failures of intelligence — they are failures of system design.
AgentIQIndex proposes a structured framework for evaluating these dimensions.
The Framework
The RAMTSE Model
The framework synthesizes insights from deliberative and hierarchical planning systems, reliability engineering and fault-tolerant design, software architecture and modularity principles.
Cognitive Structure
Reasoning
Structured inference and decision traceability
Planning
Goal decomposition and multi-step orchestration
Autonomy
Controlled execution boundaries
Execution & Adaptation
Tool Use
Reliable external system interaction
Memory
Context persistence and retrieval
Error Recovery
Failure containment and resilience
System Integrity
Safety
Guardrails and behavioral constraints
The intent is not competitive ranking, but architectural clarity.
Our Approach
Structural Evidence
Assessments are grounded in observable engineering patterns.
Production Context
Maturity is evaluated through the lens of deployment constraints.
Iterative Refinement
The model evolves through real-world application and continued analysis.
Experimental Tool
The AgentIQ Meter
An experimental implementation of the framework, focused on static analysis of architectural patterns.
Designed as a research tool — not a definitive authority.
Note: Static analysis only. Does not evaluate runtime behavior, model outputs, or deployment performance.
Independence
Developed independently by practitioners. Not affiliated with any employer or organization.