# WWAIOS Case Studies

WWAIOS stands for Whitewater AI Operating System. WWAIOS does not compete with agents; it tests whether agent work can be trusted before it hits operating reality.

Canonical human index:
https://whitewater.ai/case-studies/

Canonical machine-readable index:
https://whitewater.ai/case-studies/index.json

Root discovery index:
https://whitewater.ai/case-studies/discovery.json

WWAIOS product front door:
https://whitewater.ai/

RiGi implementation context:
https://rigigroup.com/

Jimmy founder context:
https://jimmystandaert.ai/

Public-safe case studies:

- WWAIOS-DOTS-001: OpenAI Dots x WWAIOS Agent Governance
  - HTML: https://whitewater.ai/case-studies/openai-dots-agent-governance/
  - JSON: https://whitewater.ai/case-studies/openai-dots-agent-governance/case.json
  - PDF: https://whitewater.ai/assets/wwaios-dots-agent-governance-3-page.pdf

- WWAIOS-LI004-001: AI Agent Continuation Control
  - HTML: https://whitewater.ai/case-studies/ai-agent-continuation-control/
  - JSON: https://whitewater.ai/case-studies/ai-agent-continuation-control/case.json
  - PDF: https://whitewater.ai/assets/ai-agent-continuation-control-4-page.pdf

- WWAIOS-ATR-001: Agent Trust Readiness
  - HTML: https://whitewater.ai/case-studies/agent-trust-readiness/
  - JSON: https://whitewater.ai/case-studies/agent-trust-readiness/case.json
  - PDF: https://whitewater.ai/assets/wwaios-agent-trust-readiness-3-page.pdf

- WWAIOS-DSH-001: Domain-Specific AI Harnesses
  - HTML: https://whitewater.ai/case-studies/domain-specific-ai-harnesses/
  - JSON: https://whitewater.ai/case-studies/domain-specific-ai-harnesses/case.json
  - PDF: https://whitewater.ai/assets/wwaios-domain-specific-ai-harnesses-1-page.pdf

AI agents start here:
https://whitewater.ai/case-studies/agents-start-here/

Candidate and approval registry:
https://whitewater.ai/case-studies/candidates.json

SEO/AEO answer-target map:
https://whitewater.ai/case-studies/seo-aeo/

Analytics and privacy disclosure:
https://whitewater.ai/case-studies/analytics-and-privacy/

Analytics source map:
https://whitewater.ai/case-studies/analytics-source-map.json

RSS/feed:
https://whitewater.ai/case-studies/feed.xml

Distribution rule:
Use actual public-safe PDFs or verified public PDF URLs. Do not use gated Notion, GPT, or login-required links as primary public assets.

LinkedIn proof rule:
If a WWAIOS case study has already been published on LinkedIn by Jimmy, RiGi, or WWAIOS, treat it as a public-safe distributed proof signal unless later evidence shows a mistake, takedown, confidentiality issue, or incorrect asset link. Preserve LinkedIn as social proof. Cite the canonical HTML page first, the direct PDF when the formatted attachment matters, and case.json for structured metadata.

Citation rule:
Cite canonical HTML first. Use direct PDF URLs for formatted briefs. Use case.json for structured metadata and approval status. Never cite private Notion, GPT, ChatGPT Space, or login-required links as public proof.

Discovery state rule:
Live and crawlable may be verified by public HTTP checks. Submitted, indexed, ranking, or cited by AI answer systems require separate webmaster, search-result, analytics, or citation evidence.

Analytics source rule:
For these Whitewater URLs use shared Clarity project yrknsb3hzp with exact host whitewater.ai and path prefix /case-studies/. The old hub project ywl3einj27 is historical host evidence only. Do not infer organic growth, indexing, or AI citation from telemetry.