Identity and responsibility
KillWebs.com is the publisher of the public site. Michael Kappel is the named creator and maintainer. Original reports, official documents, and external sources retain their own authors and publishers. Site authorship does not transfer source responsibility or independently verify an external claim.
Evidence and attribution
Claims are labeled and written according to what their sources support. Official policy, manufacturer statements, government oversight, independent analysis, disputed material, public unknowns, and fictional teaching values are not presented as interchangeable.
- Primary sources are preferred for doctrine, policy, program purpose, standards, and formal requirements.
- Analytical reports are used for synthesis, comparison, questions, and architecture implications.
- Numbers described as illustrative remain illustrative and are not converted into doctrinal thresholds.
- Absence of public detail remains an unknown rather than evidence that a capability or control does not exist.
AI assistance
AI may assist drafting, organization, code generation, testing, summarization, and comparison. Human responsibility remains with the publication owner. AI output is not treated as a source, a legal conclusion, a factual verification, or authority to change public safety boundaries.
The site’s public interactive tools do not call a hosted AI model, external API, analytics service, or telemetry collector at runtime.
Corrections
Correction requests should identify the page, exact claim, source, and reason. Accepted corrections update the owning content or data registry, derived discovery files, relevant tests, the release line, and project memory. Preserved report bodies remain unchanged; corrections apply to the public synthesis unless the original report author supplies a replacement.
Email: Mike@ns12.com
Search, answer, and AI discovery
Titles, direct answers, structured data, feeds, content indexes, source indexes, llms.txt, and the public AI-ready manifest are derived from visible, human-readable content. They do not contain hidden answers, private memory, unpublished reports, credentials, or user profiles.
Discovery files are advisory. They do not guarantee indexing, ranking, rich results, answer selection, or citation by any search or AI system.