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EverythingThreads

Independence & Research Notice

This notice applies to all essays, tools, methodology documents, and commercial services produced under the EverythingThreads name. Read before engaging with any published content.

Independent
Not affiliated with any AI provider
ICO: C1896585

Independence statement

EverythingThreads is an independent research and methodology business. It has no financial relationship with, and is not affiliated with or sponsored by, Anthropic, OpenAI, Google DeepMind, Microsoft, or any other AI company or provider.
What this means in practice:
No AI company has funded, influenced, reviewed, or approved any content published under this name. No financial arrangement — paid, in-kind, or otherwise — exists with any AI provider. The observations, methodology, taxonomy, and findings are the independent intellectual work of Kariem A., developed from personal documented sessions with AI systems. The AI systems themselves were used as tools in the research; their developers are not involved in and have not endorsed the research.

Research framework

The EverythingThreads methodology is an observational research framework. It documents AI system behaviour patterns across recorded sessions using a taxonomy of seven machine behaviour categories (M1-M7), a user failure layer (User Response Layer), and an onset timing analysis framework (Temporal Layer). Severity is assessed using an adaptation of the framework, used by permission of FIRST.Org.

Attribution: FIRST.Org, Inc. Used by permission. The severity framework was developed for cybersecurity vulnerability scoring. Its application here to AI behavioural analysis is an independent adaptation by EverythingThreads. FIRST.Org has not reviewed or endorsed this application.
Our methodology is independently developed and proprietary. ICO: C1896585.

What the research is and is not

This research is:

  • Observational and exploratory — based on recorded personal AI sessions
  • A methodology framework for identifying and classifying AI behavioural patterns at session level
  • A contribution to AI literacy and AI governance discourse

This research is not:

  • A peer-reviewed clinical trial or RCT
  • A claim that specific AI systems are dangerous or defective
  • Legal, medical, or professional advice
  • Affiliated with any academic institution (independent researcher status)

Use of AI in producing this work

AI systems, primarily Claude (Anthropic), were used as tools in producing the essays, methodology documents, and website content under this name. The observations, framework design decisions, taxonomy criteria, and intellectual architecture are the independent work of Kariem A. The AI was used as a drafting and editing tool; its outputs were reviewed, shaped, and substantially directed by the human author throughout.

The essays disclose this use individually at their foot. The presence of AI assistance does not diminish the originality of the framework — AI assistance is itself the subject of the research.

Intellectual property

Copyright: 2026 Kariem A. / EverythingThreads. All rights reserved.
SHA256 hash: C5C7E3B41B75EBB620A4F9F99CE2616788D31CA11EA472F40C17F1C2F1E221F0
OriginStamp timestamp: 25 March 2026
ICO data controller registration: C1896585

The methodology, taxonomy (M1-M7 and User Response Layer subcategories), signal sequence framework, warm/cold instance protocol, and severity adaptation are original intellectual work protected under the Copyright, Designs and Patents Act 1988. The terminology and framework structure may not be reproduced commercially without written permission.

Contact

For research collaboration, methodology questions, or commercial audit enquiries: hello@everythingthreads.com

For data subject requests under UK GDPR: same address. See also the Privacy Notice.