Cognitive Integrity Layer: A Meta-Cognitive Architecture for Maintaining Epistemic Coherence in Autonomous AI Agents
Whitepaper v1.0
Authors: Kazé A. ONGUENE
Affiliations: Braincities Lab
Date: December 29, 2025
"Abstract:
Contemporary large language model (LLM) agents exhibit remarkable capabilities in executing complex, multi-step tasks through agentic chaining mechanisms wherein output representations are recursively transformed into subsequent prompt inputs. However, this autoregressive prompting paradigm introduces systemic vulnerabilities to semantic drift, state inconsistency, and constraint decay over extended interaction horizons. This paper presents the Cognitive Integrity Layer (CIL), a novel meta-cognitive architecture that addresses these fundamental limitations through three interoperating subsystems: the Intent Anchor System for goal-fidelity preservation, the State Integrity Verifier for accumulated knowledge consistency, and the Constraint Consistency Ledger for persistent rule enforcement. We formalize the theoretical foundations drawing from epistemology, distributed systems theory, and cognitive science, and present a reference implementation within the Alter OS cognitive operating system. Our empirical analysis demonstrates that the CIL architecture enables reliable agent behavior across interaction sequences exceeding 80 conversational turns while maintaining sub-15% semantic drift from original user intent."
The CIL is now a fundamental part of Alter OS, ensuring cognitive integrity across all Al/ML operations. It will help maintain focus on original user intent, detect contradictions in accumulated state, and enforce constraints throughout extended conversations.
Full paper accessible on demand.
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Project Purpose
Develop a Digital Investment Analyst, an AI-powered tool to assess a company’s strategy and management style. The solution analyses investor relations documentation (capital calls, distribution notices, profit warning, capital statements, reports…) to match a company profile with an investment strategy defined by the investor (indicators, keywords, strategical concepts to identify). The goal is to accelerate and improve the accuracy of the sourcing processes with specific filters beyond financial results.
Project Specifics
[simplicity of syntax] Read and integrate knowledge extracted from “Coh-Metrix Measures Text Characteristics at Multiple Levels of Language and Discourse” (Arthur C. Graesser, University of Memphis, Danielle S. McNamara, Arizona State University, Zhiqang Cai, Mark Conley, and Haiying Li, and University of Memphis, James Pennebaker, University of Texas, Austin) Other reference: Roger W. Shuy - 1998 Bureaucratic Language in Government and Business "Language simplicity means the same thing as language clarity."
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