Markdown source

Agentic Search Credibility

Use Case

Rank people or sources for retrieval, search infrastructure, source triage, and research-agent discovery.

View Signal Role

Contextual. Views matter when the goal is public influence or consumer search behavior; primary retrieval expertise matters more for correctness.

Scoring Weights

| Signal | Weight |

| --- | ---: |

| `topic_fit` | 20 |

| `retrieval_expertise` | 25 |

| `primary_research_or_product` | 20 |

| `source_quality` | 15 |

| `deployment_signal` | 10 |

| `public_attention` | 10 |

Evaluation Fixtures

| Name | Score | Expected Min | Result |

| --- | ---: | ---: | --- |

| Jo Kristian Bergum | 88.25 | 82 | pass |

| Han Xiao | 88.50 | 82 | pass |

Policy Boundary

This policy scores credibility for one topic and use case. Do not reuse it for unrelated topics where public fame, domain credentials, implementation depth, or primary-source evidence should be weighted differently.

Change Rule

Change one policy file at a time, rerun python3 scripts/generate_synthesis_layers.py, and inspect credibility policy evals before applying new scores.