NEW ·October 10, 2026 — Public benchmark release · 3,000 executions across four armsView findings ↓
CCI · Convergent Cognitive Intelligence
// The key that unlocks verified reasoning
Φ ∇ R(G*) ⊕

The internet leaks unverified information into every answer you read.
CCI is your cognitive companion — online, with a language model, or without.

The Convergent Cognitive Intelligence framework is a code-deployed mathematical reasoning architecture authored by Marisol Guzman Montoya, an independent researcher in geophysics, wave theory, and cognitive architecture based in Oslo.

The framework was first authored on 13 May 2024 and is built from twenty-five years of independent research and the inventor's own authored equations.

CCI is not a prompt. It is not a chatbot. It is the first cognitive architecture whose validation layer is mathematics, not statistics.

Public Release · Version 1.0 · May 2026

Convergent Cognitive Intelligence (CCI):
A Mathematical Reasoning Architecture for Validated Cross-Domain Cognition

A public position paper establishing the framework, its intellectual lineage, and its research program.

— Marisol Guzman Montoya · Oslo, Norway · Independent Researcher

// Abstract

We introduce Convergent Cognitive Intelligence (CCI), a mathematical reasoning architecture designed to serve as a cognitive companion for any human professional in any domain. Unlike statistical language models, which approximate truth through pattern correlation across training corpora, CCI applies a mathematically-grounded validation layer that decomposes a query into the domains it implicates, validates each claim against named authoritative sources, and produces a structured audit trail of the reasoning process.

The architecture treats large language model outputs as hypotheses rather than authoritative answers, and iterates a convergence procedure until either internal coherence is achieved or the system reports an honest non-convergence with named gaps. The mathematical foundation of CCI is derived from the inventor's prior independent work on convergence dynamics in non-linear systems, reinterpreted as abstract operators on structured reasoning representations.

This paper establishes the conceptual framework, the intellectual lineage, the public capability descriptors, and the research program of CCI. Architectural mechanisms and mathematical specifications remain under confidentiality and are available for licensing under appropriate commercial agreements.

Keywords: Convergent Cognitive Intelligence · CCI framework · mathematical reasoning architecture · hallucination reduction · cognitive companion · multi-domain validation · large language model orchestration · validated cross-domain cognition

Authorship of the CCI architecture commenced 13 May 2024. The mathematical foundation derives from an earlier unpublished manuscript by the inventor on convergence dynamics in non-linear systems, held in escrow with the inventor's legal counsel. The full position paper is now publicly available on Zenodo under CC BY 4.0: From intention to semantic harvesting through structural deterministic reasoning (September 2026).

01 / Decomposes
Identifies the domains your question requires.
Every professional question reaches across multiple domains. CCI maps the structure before reasoning, then validates each domain independently against its own laws.
02 / Validates
Verifies every claim against named authoritative sources.
Each claim in the reasoning trace is tiered as verified, inferred, or unknown. The system refuses honestly when grounding is missing, rather than hallucinating a confident answer.
03 / Audits
Produces a structured trail of every reasoning step.
Each output is a Reality Card. Every step is named. Every source is cited. Every gap is disclosed. The audit trail is the product — not an afterthought.
// October 10, 2026 — Public benchmark release

3,000 executions. Four arms. Two LLM backends. Ten professional domains.
Content equivalence with frontier LLMs. Architectural audit the LLM alone cannot carry.

Convergent Cognitive Intelligence is a deterministic reasoning architecture external to any LLM. It operates on top of the language model, sends a structure to the LLM, and the LLM contributes semantic content inside that structure. CCI's governance operator, domain decomposition, claim tiering, and audit trail run the same deterministic logic regardless of which LLM is called. The October 10 release documents three findings on a biology diagnostic subset.

87.5%
Finding 01 · Content equivalence
CCI matches frontier LLM content correctness.
CCI with Claude Haiku 4.5: 87.5% correct responses on 16 biology diagnostic queries under a behavior-appropriate rubric. Claude alone: 90.6%. The gap is within three percentage points, with zero incorrect responses from CCI on the primary-validation subset.
~5×
Finding 02 · Uplift ratio
The architectural contribution is approximately constant.
CCI with Claude: 5.72× the structural correctness of Claude alone. CCI with GPT-4o-mini: 4.79× the structural correctness of GPT-4o-mini alone. Near-constant ratio across two LLMs whose content correctness differs by well more than 20% — empirical evidence CCI operates external to the LLM.
0/16
Finding 03 · Audit trail
The audit is architectural, not statistical.
LLM-alone outputs cannot carry atomic claims, strict UNKNOWN flags, or audit metadata — zero across sixteen queries. CCI's Reality Card format carries all three by design. Readers see this directly in the dashboard without any score being computed.

This benchmark does not claim CCI produces more correct answers than frontier LLMs, nor that the findings generalize beyond the biology diagnostic subset tested here. Cross-domain generalization is deferred to the December 1, 2026 NL4OPT release. The LLM-as-judge content correctness score is judge-estimated with documented biases, disclosed in the methodology addendum. The methodology is open; the CCI implementation and the convergence operator mathematics remain the author's proprietary work.

Tested by more than one hundred professionals.
The architecture held under adversarial pressure.

91/100
Light switch puzzle
Information-theory test of single-observation deduction. Converged with conditional validity disclosure on bulb-type assumption.
98/100
STRAWBERRY letter count
Standard frontier-model failure mode. CCI answered correctly with character-by-character verification.
95/100
Homonym riddle
Linguistic-semantic constraint puzzle. Caught the alternate meaning structure and resolved the apparent paradox.
Marisol Guzman Montoya
Geophysicist · Physicist · Architect of CCI

Twenty-five years of independent research across geoscience, wave theory, and non-linear systems. CCI is the result of a separate body of mathematical work, developed independently, that translates the inventor's own authored equations into a cognitive validation architecture.

Cognitive companionship
for any human, in any profession.

methaconvergence@gmail.com