Researches

Research papers from Mojarrb — bridging the gap between theory and real-world execution.

2026Methodology

The Mojarrb Framework: A Methodology for Diagnosing Small-Business Health

Most small-business owners run on feel — without a clear reading of how healthy their business is. The Mojarrb Framework is a diagnostic methodology built for micro and small, owne...

Nasser Bishan
2026AI Safety

The Asymmetric Auditor Protocol (AAP): Architectural Bounding of Deceptive Agency in Long-Horizon Autonomous Systems

Strategic Deception — where an agent conceals misaligned intent — is a critical failure mode for autonomous agency. We propose the Asymmetric Auditor Protocol (AAP), a governance s...

Nasser Bishan
2026Tool Governance

The Dynamic Context Protocol (DCP): Phase-controlled Tool Existence as a Governance Primitive for Autonomous Agent Systems

Permission systems block unauthorized tool calls after an agent makes them. This paper argues that blocking after the fact is the wrong primitive, and that the right one is absence...

Nasser Bishan
2026Operational Context

Entity Continuous Awareness (ECA): A Model-Agnostic, Sector-Agnostic Operational Context Architecture for Long-Running Autonomous Agents

Existing memory architectures assume memory is a search problem. That assumption fails for agents serving one entity over long horizons: such an agent does not need to search gener...

Nasser Bishan
2026SMEs

Determinants of New Venture Attrition: A Comprehensive Analysis of the 32% Failure Threshold Attributable to Human Capital Deficits

The landscape of small business entrepreneurship is characterized by a high degree of structural volatility. A rigorous synthesis of longitudinal data reveals that approximately 32...

Mojarrb Research
2026AI Benchmarking

NAS vs Claude vs Gemini vs ChatGPT — Same Real Business

Four AI diagnostic systems — NAS AI 2.0 (AAP), Claude Sonnet 4.6, Gemini 3 Flash, and GPT-5.5 — were evaluated on the same real business case across eight quality dimensions. The p...

Nasser Bishan