Ahrefs Domain Rating set in type 3 Nov 2026, reset 2 Nov 2026.
NKTg AI is a specialized language decoding system that measures semantic energy to extract core content from texts without generating new information, designed
The story so far
Homepage of NKTg AI
NKTg AI is a language decoding system that extracts core content from texts using physical algorithms to measure semantic energy. Unlike traditional AI that reinterprets text, NKTg AI identifies and returns the author's original linguistic content without generating new information.
The system separates text into AMP (amplifying energy), DAMP (damping energy), and STABLE components, allowing users to understand the energy density and importance of each sentence. It offers multiple output modes including extraction modes (Standard, Condensed, Essence) for distillation and addition modes (Refined, Expanded, Comprehensive) for expansion.
NKTg AI provides two deployment options: NKTg AI – LLM Local, which runs directly in the browser via WebAssembly for data privacy, and NKTg AI – LLM Cloud, a free cloud-based service. The system is designed for document-based Q&A, long-document analysis, report writing, translation, and handling complex domain-specific information in legal, finance, and research fields.
Typeset features
Runs locally in browser via WebAssembly
Document-based Q&A and analysis
Report writing and document drafting
Multilingual translation
Cloud-based LLM service
Hallucination mitigation through semantic filtering
Pricing
Pricing model: Freemium
NKTg AI metrics
Set in type for nktg.org: Ahrefs Domain Rating and Majestic link data, with the change since the last edition.
Metric
Value
Domain Rating
7● no change since last check
Trust Flow
2● no change since last check
Citation Flow
13● no change since last check
Referring domains
19● no change since last check
External backlinks
129● no change since last check
Ahrefs Domain Rating set in type 3 Nov 2026, reset 2 Nov 2026. Lead topic: Society/Philosophy (2). Majestic set 2 Nov 2026, reset 2 Nov 2026. Link data typeset by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
NKTg AI domain colophon
Read the colophon
From the registry's public RDAP record, checked 3 Nov 2026, 04:51 UTC.
Measured after NKTg AI went live on Zivaro Launch on 2 November 2026.
Domain Rating (Ahrefs)
7
First measured 2 Nov 2026
Referring domains (Majestic)
19
First measured 2 Nov 2026
Day 1 since launch. Next receipt: day 30, 2 Dec 2026. These are measurements, not proof of cause: many things move these numbers. Figures we have not measured are left out.
How is NKTg AI different from summarization tools?
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. It returns the author's original linguistic content without generating new information.
What are the two deployment options for NKTg AI?
NKTg AI offers two deployment options: NKTg AI – LLM Local, which runs directly in the browser via WebAssembly for maximum data security and privacy, and NKTg AI – LLM Cloud, a completely free cloud-based service that requires no high-end device.
What are the system requirements for NKTg AI Local?
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.
What is Core Content?
Core Content is the sentence with the highest density of executable actions and the most concrete outcome in a text. It is an original sentence from the source text that, if removed, would cause the text to lose key information that cannot be inferred from the rest.
How does NKTg AI reduce hallucinations in AI responses?
NKTg AI uses a filtering layer that processes and verifies data before passing it to the language model. LLM Local only receives verified data from NKTg AI, ensuring responses stay grounded in the source material and eliminating the risk of fabricating information.
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