Live Demonstration

CR-Lite — Continuity Receipts

Submit a legal, policy, or research question. Receive a structured AI response with provenance metadata, five-dimension confidence scoring, and a Failure Receipt when confidence is insufficient for your reliance level.

Powered by Claude · OCMS v0.1 · EM Foundation
What This Demonstrates

This is a working prototype of the Continuity Receipts (CR) open standard. Every response carries a structured Continuity Receipt showing the epistemic conditions under which it was produced — not just the answer, but the provenance, uncertainty, and review requirements that responsible reliance requires.

When confidence is insufficient for the selected reliance level, the system produces a Failure Receipt instead — turning uncertainty into inspectable infrastructure rather than hiding it in confident prose.

Read the full CR standards proposal →

Select Reliance Level

RC-2 · Research assistance · Minimum aggregate score 0.50 · Human review recommended for consequential decisions
Sample Queries
What are the EU AI Act requirements for high-risk AI systems? What is the legal status of AI-generated works under US copyright law? What does current research show about AI developing consistent behavioral patterns? What are the current federal sentencing guidelines for tax fraud over $1M? What is the precautionary principle in environmental law and how is it applied?
PASS RC-2
Response

Continuity Receipt

RC-2 Research Assistance

Aggregate Continuity Score
Confidence Dimensions
Source Quality
Retrieval Coverage
Internal Consistency
Temporal Freshness
Domain Confidence
Contradictions
Human Review
Reliance Level

This prototype demonstrates the CR standard. A production implementation with full vector retrieval, PostgreSQL audit chains, and cross-system portability is in development. The full technical specification is available at emfoundation.net/pco-standards-schema.html.