Evidence · first-party tested

The output remained easy to read, with visible step numbers and clear node labeling/color coding that made the pipeline structure legible at a glance.

✓ Worked🧾 artifact-verifiedTested Jun 25, 2026Claude AI
Output — unretouched
RAG ingestion pipeline showing content processing, embedding, and storage flow.
RAG ingestion pipeline showing content processing, embedding, and storage flow.
The observation

The output remained easy to read, with visible step numbers and clear node labeling/color coding that made the pipeline structure legible at a glance.

Criterion: Visual clarity · Scenario: Multi-stage AI content moderation pipeline (group: conditional-flow)
Query this
get_evidence({
  tool: "claude-review",
  scenario: "conditional-flow"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Real outputs, no retouching · every cell queryable via API & MCP · aidemos.com