Machine intelligence · Agentic AI · Governed swarm management

Machine-intelligence working framework

Claims and Evidence Policy

Use the policy to understand what the site can say now, what requires qualification, what requires direct evidence, and what is prohibited.

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Published Updated Reviewed By LongTermIntelligence.com

Direct answer

How does LongTermIntelligence.com govern public claims?

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The site classifies claims by evidence status. Reviewed definitions and working methods may be published as such. External facts require current verification and attribution. Performance, security, compliance, partnership, and client outcome claims require direct evidence and permission. Absolute guarantees and fabricated proof are prohibited.

  • Source reports are preserved but not treated as independently verified proof.
  • The Intelligence724 report keeps its original attribution.
  • A framework is not a certification or a client result.

Source basis: reviewed synthesis of the strategy corpus. Report-derived claims remain subject to the verification boundary in the source library.

Decision framework

Four claim classes

The claims registry in the machine-readable knowledge package uses the same classes.

ClassPublic useExamples
Supported and safeMay be used when the wording matches visible evidence or a stable, cited source.Identity, published methodology, file hashes, visible framework structure.
Directional and qualifiedMay be used with clear conditions and no implied guarantee.A control can reduce a stated risk when correctly implemented and tested.
Requires validationDo not publish as fact until direct evidence, method, permission, and review exist.Specific ROI, performance, reliability, security, compliance, partnership, or client outcome.
ProhibitedDo not use.Guaranteed ROI, 100% safe, hallucination-free, fully autonomous without qualification, fabricated client logos, or unearned certification.

Use this in practice

Evidence required for consequential claims

The burden of evidence increases with consequence and specificity.

  • State whether the item is a source recommendation, company method, external fact, inference, or measured outcome.
  • Name the method, environment, baseline, period, exclusions, and limitations.
  • Retain reproducible test data or direct documentation where possible.
  • Obtain customer, partner, auditor, or rights-holder permission before attribution.
  • Provide a correction path and date-sensitive review for external facts.
  • Avoid converting architecture intent into a security or compliance guarantee.

Downloadable working files

Use the decision tools that support evidence

CSV template

Agent Evaluation Scorecard

Record measured results and evidence locations.

Download CSV

CSV template

Vendor and Model Evaluation Matrix

Separate comparative evidence from commercial preference.

Download CSV

CSV template

Production Agent Risk Register

Connect risk claims to controls, tests, signals, and owners.

Download CSV

Templates are planning aids. They are not certifications, legal advice, security guarantees, or substitutes for client-specific validation.

Next decision

Use bounded claims from the first conversation

Describe the decision and available evidence without implying outcomes that have not been measured.

Private local search

Find machine intelligence, agentic AI, swarm management, services, industries, use cases, definitions, or research

Press / to open search when focus is not in a form field.

Search runs locally against the public site index.