NKTgAI

Features

• 📘 NKTg AI System NKTg AI is not a summarization tool. It is a specialized Language Decoding System that uses physical algorithms to measure semantic energy and extract the Core Content — the core logical genetic code of a text. Core Content is the sentence with the highest density of executable actions and the most concrete outcome in a text. If removed, the text loses key information that cannot be inferred from the rest. It is an original sentence from the source text — not interpreted or altered by subjective reasoning. NKTg AI System provides three distinct operational modes directly on the interface to match diverse use cases, processing depths, and hardware environments. 1. NKTg AI (Core Mode) Core Function: Focuses purely on deterministic semantic analysis, measuring semantic energy, structural decomposition, information layer decoding, and precise extraction of the Core Content without language-generation text rewriting. Usage: Ideal for raw semantic extraction, structural classification (AMP, DAMP, STABLE), and evaluating information against the 55% threshold. 🛡️ Decoding and Overcoming Core Weaknesses of Traditional LLMs Hallucination Mitigation: Traditional LLMs rely on statistical probability, risking fabricated data. With NKTg AI's filtering layer, the generative interface only receives verified data. Context Focus Optimization: Isolates conditional/exceptional components (DAMP) from core actions (AMP) to prevent information noise. Objective & Creative Synthesis: Precisely preserves the user's original intent while delivering professional depth and natural fluency.
• 🔑 Core Concepts Core Content — The sentence carrying the highest semantic energy. Semantic Energy — Measurement of semantic density within a document. AMP Text — Action-oriented semantic pattern. DAMP Text — Analysis-oriented semantic pattern. STABLE Text — Balanced semantic pattern. 55% Threshold — Semantic classification criterion. Extraction — Identifying the Core Content from a document. Addition — Expanding information while preserving semantic consistency. Decision Support — Helping users identify the most important information for decision-making. ✨ Key Features Deterministic semantic analysis Core Content extraction AMP / DAMP / STABLE text classification Semantic Energy measurement 55% Threshold evaluation Decision-support oriented analysis Privacy-first architecture Browser-based execution Lightweight and fast No backend required 📚 Official Resources Official Website: https://nktg.org NKTg AI Help Center: https://help.nktg.org
• 📦 Repository Distribution NKTg AI is officially distributed across multiple public source code hosting platforms to improve availability, long-term preservation, redundancy, and global accessibility. Platform Repository Link GitLab https://gitlab.com/NKTgAI/NKTgAI Hugging Face https://huggingface.co/NKTgAI/NKTgAI Gitea https://gitea.com/NKTgAI/NKTgAI Codeberg https://codeberg.org/NKTgAI/NKTgAI Bitbucket https://bitbucket.org/nktgai/nktgai/src/main/ Launchpad https://launchpad.net/nktgai SourceForge https://sourceforge.net/projects/nktgai/ SourceHut https://git.sr.ht/~nktgai/NKTgAI RocketGit https://rocketgit.com/NKTgAI/NKTgAI Framagit https://framagit.org/NKTgAI/NKTgAI Disroot Git https://git.disroot.org/NKTgAI/NKTgAI 📂 Project Structure ├── index.html # NKTg AI ├── logo_NKTgAI.png # NKTg AI Logo │ ├── what-is-nktg-ai.html # What is NKTg AI? ├── core-content-example.html # What is Core Content? A worked example ├── amp-text-definition.html # AMP Text Definition ├── damp-text-definition.html # DAMP Text Definition ├── stable-text-definition.html # STABLE Text Definition ├── threshold-55-usage.html # How to use NKTg AI's 55% threshold │ ├── nktg-ai-extraction.html # How to use the Extraction feature ├── nktg-ai-addition.html # How to use the Addition feature ├── nktg-ai-algorithm.html # What is NKTg AI's algorithm built on? │ ├── nktg-ai-llm-local.html # NKTg AI – LLM Local Architecture & Guide ├── nktg-ai-llm-cloud.html # NKTg AI – LLM Cloud Service │ ├── nktg-ai-applications.html # NKTg AI for Decision Support ├── nktg-ai-business-management.html # Using NKTg AI in Business Management ├── nktg-ai-legal-application.html # Using NKTg AI in Legal Work ├── nktg-ai-government-administration.html # Using NKTg AI in Government & Public Administration ├── nktg-ai-credit-application.html # Using NKTg AI in Credit Analysis ├── nktg-ai-healthcare-application.html # Using NKTg AI in Healthcare ├── nktg-ai-journalism-application.html # Using NKTg AI in Journalism ├── nktg-ai-research-application.html # Using NKTg AI in Research ├── nktg-ai-education-application.html # Using NKTg AI in Education ├── nktg-ai-audit-compliance.html # Using NKTg AI in Audit & Compliance ├── nktg-ai-project-management.html # Using NKTg AI in Project Management │ ├── nktg-ai-profile-management.html # Managing Your Profile ├── nktg-ai-account.html # Managing Your Account ├── nktg-ai-plan.html # Managing Your Plan ├── nktg-ai-plus.html # NKTg AI Plus ├── nktg-ai-pro.html # NKTg AI Pro ├── nktg-ai-language.html # Changing Interface Language ├── nktg-ai-contact.html # Contact Support ├── nktg-ai-limitations.html # Limitations to Keep in Mind ├── nktg-ai-privacy.html # Privacy & Data Handling │ └── README.md
• 📌 Applications & Use Cases NKTg AI supports advanced semantic analysis and decision-making across multiple domains: Business Management: Optimizing workflows and internal data processing. Legal Work: Handling binding clauses, contracts, and complex exception conditions. Government & Public Administration: Managing policies and administrative records reliably. Credit Analysis: Analyzing audit reports and financial figures with absolute data integrity. Healthcare: Processing sensitive medical literature and records. Journalism: Extracting
• 2. NKTg AI – LLM Local NKTg AI – LLM Local is an integrated operational architecture that overcomes the limitations of traditional LLMs and optimizes information-processing performance in fields that require high accuracy. Functional Separation Architecture: Processing Brain and Execution Interface In the NKTg AI – LLM Local architecture, the system clearly separates two independent functional layers to eliminate the drawbacks of monolithic language models: NKTg AI (Logical & Quantitative Processing Brain): Handles the core processing role. Using physical operators, the system measures semantic energy, performs structural decomposition, decodes information layers, and precisely extracts the Core Content. This layer determines the authenticity of the data, eliminating subjective inference entirely. LLM Local (Generative Interface): Converts the structure standardized by the NKTg AI "brain" into natural language. Rather than reasoning from raw data itself, this component performs text generation based on the already-shaped logical framework, ensuring fluency and effective communication with the user. Advantages of Running LLM Local in the Browser via WebAssembly Integrating and running LLM Local directly in the web browser through WebAssembly technology delivers outstanding strategic value: Absolute Data Security (Zero Data Leakage): The entire information-processing pipeline stays confined to the user's own device hardware, completely eliminating the risk of data leakage from transmission to external cloud servers. Minimal Latency (Low Latency): By leveraging local computing power directly through WebAssembly, the model responds instantly, eliminating delays caused by internet transmission. Offline Operation: The system maintains continuous, stable performance even when the device is completely disconnected from the internet. Optimized Hardware Utilization: WebAssembly executes code at near-native speed directly in the browser, making the most of available computing power without requiring complex software installation. Decoding and Overcoming the Core Weaknesses of Traditional LLMs The system is designed to eliminate the inherent weaknesses of standalone LLMs: Hallucination Mitigation: Traditional LLMs rely on statistical probability to generate tokens, creating a risk of fabricating information. With the filtering layer from NKTg AI, LLM Local only receives verified data, ensuring responses stay grounded in the source material. Context Focus Optimization: When processing complex text, NKTg AI isolates conditional/exceptional components (DAMP) from core actions (AMP), preventing information noise. Objective & Creative Synthesis: Precisely preserves the user's original intent and information while optimizing the AI's fluent, creative expression. This eliminates any tendency to distort data, ensuring output that is both professionally deep (legal, technical, financial) and naturally fluent. Standard Operating Flow: Decode → Generate Source text → NKTg AI (Processing Brain & Structural Decoding) → LLM Local in Browser (Generative Interface) → Accurate output Usage Guide and Real-World Applications NKTg AI – LLM Local is designed with a friendly chat interface, allowing users to interact intuitively, just like using any mainstream large AI model. How Users Interact Familiar Interface: Users simply access the web interface, select the corresponding model mode on the toolbar, then type a question or request, or paste text directly into the chat box at the bottom of the screen, and press send. Seamless Experience: The system automatically activates the underlying processing layers (NKTg AI decomposing structure and LLM Local generating language) without requiring the user to configure or intervene in the complex algorithms underneath. Supported Advanced Tasks The system is fully capable of performing every task that today's large AI models offer, upgraded with superior reliability and tight control over the source data: In-depth document-based Q&A: Retrieves and responds accurately to questions based on the provided data without fabricating information. Long-document analysis and research synthesis: Processes large volumes of text, decomposing structure and logically condensing core content. Report writing and document drafting: Automatically generates professional reports, technical documents, and contracts with fluent, accurate wording. Language translation: Translates multilingual documents with high fidelity, preserving the author's original intent and structure. Handling complex domain-specific information: Legal & Contracts: Handles binding clauses and complex exception conditions. Finance & Governance: Analyzes audit reports and market data that require absolute data integrity. Research & Education: Synthesizes in-depth scientific material while preserving the author's original intent. System Requirements and First-Time Setup for NKTg AI Local System Requirements: For a stable NKTg AI Local experience, use a computer with at least 16 GB of RAM, a 6-core or better CPU, and a WebGPU-capable GPU with roughly 6–8 GB of video memory. First-Time Setup of NKTg AI Local: On first use, go to nktg.org and select "NKTg AI – LLM Local" to download and load the model into your browser. Enterprise Solution Deployment Service We offer custom design and development of dedicated NKTg AI – LLM Local systems for businesses, companies, and organizations with specific needs. For details, please contact: contact@nktg.org.
• 3. NKTg AI – LLM Cloud NKTg AI – LLM Cloud is a completely free service that lets users use a cloud-based language model at no model cost (whereas the standalone NKTg AI product and NKTg AI – LLM Local apply their own separate pricing policies). Architecture & Operating Flow The system shares the same processing architecture as NKTg AI, with clearly defined roles between layers: Source text → NKTg AI (Processing Brain & Structural Decoding) → LLM Cloud (Cloud Generative Interface) → Result NKTg AI: Handles logical processing, measures semantic energy, and decomposes and shapes the information structure before passing it on. LLM Cloud: Receives the standardized structure to perform the language-generation task. Distinct Operating Advantages Unlike the Local model, which runs directly via WebAssembly on the device, LLM Cloud mode offers clear hardware advantages: No high-end device required: Users don't need a computer with powerful RAM, CPU, or GPU. Zero device load: The entire heavy language-generation process runs entirely on cloud infrastructure. No model download into the browser: Saves setup time — users can start right away without downloading or storing a local model. Cross-device compatibility: Runs smoothly even on low-spec devices. Requires an internet connection: Since the entire process runs on cloud servers, the device must maintain a stable internet connection. System Requirements & Getting Started Hardware Requirements: No high-end configuration required — just a device with a web browser and a stable internet connection. How to Start: Go directly to nktg.org and select "NKTg AI – LLM Cloud" mode in the interface to start using it immediately, with no complex setup.
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