Experiments System Index

Experiments System Index

The Experiments System is the validation and hypothesis testing layer of GEO.or.id. It is designed to evaluate system behavior, measure retrieval performance, test reasoning stability, and validate improvements across the full AI architecture stack.

This layer operates as a controlled environment where changes to retrieval, evidence, ontology, and reasoning systems are tested before being considered stable.

1. Experiments System Role

The Experiments System functions as a feedback loop for system optimization:

Hypothesis → Experiment Design → Execution → Observation → Metric Evaluation → System Adjustment

It ensures that system evolution is evidence-driven, not assumption-driven.

2. Core Experiment Categories

• Hallucination Reduction
• Retrieval Ranking Experiments
• Entity Density Analysis
• Semantic Repetition Detection

3. Consistency & Reliability Testing

• Entity Consistency Experiments
• Author Consistency Tests
• Knowledge Conflict Experiments

4. Query & Retrieval Behavior Experiments

• Query Variation Testing
• Freshness Impact Analysis
• Citation Frequency Analysis

5. Multi-Model Comparison Layer

• Multi Model Comparison

These experiments compare behavior across:

• ChatGPT
• Gemini
• Claude
• Grok
• Perplexity

6. Schema & System Integrity Experiments

• Schema Impact Testing
• Semantic Structure Stress Tests

7. Experimental Output Flow

System Change Proposal
→ Experiment Definition
→ Controlled Execution
→ Data Collection
→ Observatory Metrics Mapping
→ Evaluation Against Baseline
→ Adoption or Rejection

All results are tracked via: Observatory System

8. Integration Points

• Retrieval System
• Evidence System
• Ontology System
• Reasoning System
• Trust System

9. System Principle

• No system change without experimental validation
• All improvements must be measurable
• Negative results are first-class outcomes
• Experiments must be reproducible
• Observability precedes optimization