Convergence
Convergence is when multiple independent sources agree. When different platforms and data sources describe a venue the same way, confidence grows.
Why convergence matters
A single source might be wrong. Multiple sources agreeing is harder to dismiss:
| Scenario | Confidence |
|---|---|
| Single source, few mentions | Low |
| Single source, many mentions | Moderate |
| Multiple sources, agreement | High |
Convergence turns weak signals into strong evidence.
Cross-source validation
Convergence looks for the same claim supported by different sources. For a vibe claim like "intimate atmosphere," convergence might show multiple data platforms with consistent sentiment, press coverage using similar language, and official listings aligned with external descriptions.
When sources agree, confidence rises. When they disagree, it's noted.
What agents can do with convergence
Agents can trust stronger claims when making recommendations, flag uncertainty honestly when sources disagree, and explain confidence with specifics about source agreement.
Convergence makes AI reasoning transparent. An agent can explain not just what it believes about a venue, but how confident it is and why.