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Methodology
AI Consumer Validation Methodology v1
Methodology1 min readUpdated 2026-03-05

AI Consumer Validation Methodology v1

Evidence-first methodology for AMF scoring, confidence tiers, and validation boundaries.

Tutorial Video

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AI Consumer Validation Methodology v1

This methodology explains how Torobari validates AI consumer behavior.

Core evidence model

  • Deterministic replay inputs
  • Selection probability scoring
  • Confidence-tier thresholds

Reporting boundaries

Interpret results as controlled simulation evidence, not universal market truth.

Related policy

See Public Claim Policy for claim language constraints.

Next steps

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Methodology

Public Claim Policy

Rules for qualified versus unqualified public claims tied to evidence readiness.

1 min read

Administration

Team Roles and Permissions

Manage role boundaries and avoid permission friction across team workflows.

1 min read

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On this page

  • Core evidence model
  • Reporting boundaries
  • Related policy
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Torobari Docs

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